code refactor

Co-authored-by: shardingHe <wangzihe@flashcat.cloud>

README.md

@@ -28,35 +28,66 @@
 [English](./README_en.md) | [中文](./README.md)
 
 ## 夜莺 Nightingale 是什么
-夜莺 Nightingale 是中国计算机学会接受捐赠并托管的第一个开源项目，是一个 All-in-One 的云原生监控工具，集合了 Prometheus 和 Grafana 的优点，你可以在 WebUI 上管理和配置告警策略，也可以对分布在多个 Region 的指标、日志、链路追踪数据进行统一的可视化和分析。夜莺融入了一线互联网公司可观测性最佳实践，沉淀了众多社区专家经验，开箱即用。[了解更多...](https://flashcat.cloud/product/nightingale/)
+
+夜莺监控是一款开源云原生观测分析工具，采用 All-in-One 的设计理念，集数据采集、可视化、监控告警、数据分析于一体，与云原生生态紧密集成，提供开箱即用的企业级监控分析和告警能力。夜莺于 2020 年 3 月 20 日，在 github 上发布 v1 版本，已累计迭代 100 多个版本。
+
+夜莺最初由滴滴开发和开源，并于 2022 年 5 月 11 日，捐赠予中国计算机学会开源发展委员会（CCF ODC），为 CCF ODC 成立后接受捐赠的第一个开源项目。夜莺的核心研发团队，也是 Open-Falcon 项目原核心研发人员，从 2014 年（Open-Falcon 是 2014 年开源）算起来，也有 10 年了，只为把监控这个事情做好。
 
 
 ## 快速开始
-- 👉[文档](https://flashcat.cloud/docs/) | [提问](https://answer.flashcat.cloud/) | [下载](https://flashcat.cloud/download/nightingale/) | [安装](https://flashcat.cloud/docs/content/flashcat-monitor/nightingale-v6/install/intro/)
+- 👉[文档中心](https://flashcat.cloud/docs/) | [下载中心](https://flashcat.cloud/download/nightingale/)
 - ❤️[报告 Bug](https://github.com/ccfos/nightingale/issues/new?assignees=&labels=kind%2Fbug&projects=&template=bug_report.yml)
 - ℹ️为了提供更快速的访问体验，上述文档和下载站点托管于 [FlashcatCloud](https://flashcat.cloud)
 
 ## 功能特点
 
 - 对接多种时序库：支持对接 Prometheus、VictoriaMetrics、Thanos、Mimir、M3DB、TDengine 等多种时序库，实现统一告警管理。
-- 专业告警能力：内置支持多种告警规则，可以扩展支持常见通知媒介，支持告警屏蔽/抑制/聚合/自愈、告警事件管理。
+- 专业告警能力：内置支持多种告警规则，可以扩展支持常见通知媒介，支持告警屏蔽/抑制/订阅/自愈、告警事件管理。
 - 高性能可视化引擎：支持多种图表样式，内置众多 Dashboard 模版，也可导入 Grafana 模版，开箱即用，开源协议商业友好。
 - 支持常见采集器：支持 [Categraf](https://flashcat.cloud/product/categraf)、Telegraf、Grafana-agent、Datadog-agent、各种 Exporter 作为采集器，没有什么数据是不能监控的。
-- 一体化观测平台：从 V6 版本开始，支持对接 ElasticSearch、Jaeger 数据源，实现日志、链路、指标多维度的统一可观测。
 - 👀无缝搭配 [Flashduty](https://flashcat.cloud/product/flashcat-duty/)：实现告警聚合收敛、认领、升级、排班、IM集成，确保告警处理不遗漏，减少打扰，高效协同。
 
 
-## 功能演示
-![演示](https://fcpub-1301667576.cos.ap-nanjing.myqcloud.com/n9e/n9e-demo.gif)
+## 截图演示
 
-## 部署架构
-<p align=center>中心化部署</p>
+即时查询，类似 Prometheus 内置的查询分析页面，做 ad-hoc 查询，夜莺做了一些 UI 优化，同时提供了一些内置 promql 指标，让不太了解 promql 的用户也可以快速查询。
 
-![中心化部署](https://fcpub-1301667576.cos.ap-nanjing.myqcloud.com/flashcat/images/blog/n9e-opensource-china/8.png)
+![即时查询](https://download.flashcat.cloud/ulric/20240513103305.png)
 
-<p align=center>多机房部署</p>
+当然，也可以直接通过指标视图查看，有了指标视图，即时查询基本可以不用了，或者只有高端玩家使用即时查询，普通用户直接通过指标视图查询即可。
 
-![多机房部署](https://fcpub-1301667576.cos.ap-nanjing.myqcloud.com/flashcat/images/blog/n9e-opensource-china/9.png)
+![指标视图](https://download.flashcat.cloud/ulric/20240513103530.png)
+
+夜莺内置了常用仪表盘，可以直接导入使用。也可以导入 Grafana 仪表盘，不过只能兼容 Grafana 基本图表，如果已经习惯了 Grafana 建议继续使用 Grafana 看图，把夜莺作为一个告警引擎使用。
+
+![内置仪表盘](https://download.flashcat.cloud/ulric/20240513103628.png)
+
+除了内置的仪表盘，也内置了很多告警规则，开箱即用。
+
+![内置告警规则](https://download.flashcat.cloud/ulric/20240513103825.png)
+
+
+
+## 产品架构
+
+社区使用夜莺最多的场景就是使用夜莺做告警引擎，对接多套时序库，统一告警规则管理。绘图仍然使用 Grafana 居多。作为一个告警引擎，夜莺的产品架构如下：
+
+![产品架构](https://download.flashcat.cloud/ulric/20240221152601.png)
+
+对于个别边缘机房，如果和中心夜莺服务端网络链路不好，希望提升告警可用性，我们也提供边缘机房告警引擎下沉部署模式，这个模式下，即便网络割裂，告警功能也不受影响。
+
+![边缘部署模式](https://download.flashcat.cloud/ulric/20240222102119.png)
+
+## 近期计划
+
+- [ ] 仪表盘：支持内嵌 Grafana
+- [ ] 告警规则：通知时支持配置过滤标签，避免告警事件中一堆不重要的标签
+- [ ] 告警规则：支持配置恢复时的 Promql，告警恢复通知也可以带上恢复时的值了
+- [ ] 机器管理：自定义标签拆分管理，agent 自动上报的标签和用户在页面自定义的标签分开管理，对于 agent 自动上报的标签，以 agent 为准，直接覆盖服务端 DB 中的数据
+- [ ] 机器管理：机器支持角色字段，即无头标签，用于描述混部场景
+- [ ] 机器管理：把业务组的 busigroup 标签迁移到机器的属性里，让机器支持挂到多个业务组
+- [ ] 告警规则：增加 Host Metrics 类别，支持按照业务组、角色、标签等筛选机器，规则 promql 支持变量，支持在机器颗粒度配置变量值
+- [ ] 告警通知：重构整个通知逻辑，引入事件处理的 pipeline，支持对告警事件做自定义处理和灵活分派
 
 ## 交流渠道
 - 报告Bug，优先推荐提交[夜莺GitHub Issue](https://github.com/ccfos/nightingale/issues/new?assignees=&labels=kind%2Fbug&projects=&template=bug_report.yml)
@@ -76,4 +107,4 @@
 </a>
 
 ## License
-- [Apache License V2.0](https://github.com/didi/nightingale/blob/main/LICENSE)
+- [Apache License V2.0](https://github.com/didi/nightingale/blob/main/LICENSE)

alert/aconf/conf.go

@@ -46,13 +46,6 @@ type RedisPub struct {
 	ChannelKey    string
 }
 
-type Ibex struct {
-	Address       string
-	BasicAuthUser string
-	BasicAuthPass string
-	Timeout       int64
-}
-
 func (a *Alert) PreCheck(configDir string) {
 	if a.Alerting.TemplatesDir == "" {
 		a.Alerting.TemplatesDir = path.Join(configDir, "template")

alert/alert.go

@@ -24,7 +24,10 @@ import (
 	"github.com/ccfos/nightingale/v6/prom"
 	"github.com/ccfos/nightingale/v6/pushgw/pconf"
 	"github.com/ccfos/nightingale/v6/pushgw/writer"
+	"github.com/ccfos/nightingale/v6/storage"
 	"github.com/ccfos/nightingale/v6/tdengine"
+
+	"github.com/flashcatcloud/ibex/src/cmd/ibex"
 )
 
 func Initialize(configDir string, cryptoKey string) (func(), error) {
@@ -40,11 +43,17 @@ func Initialize(configDir string, cryptoKey string) (func(), error) {
 
 	ctx := ctx.NewContext(context.Background(), nil, false, config.CenterApi)
 
+	var redis storage.Redis
+	redis, err = storage.NewRedis(config.Redis)
+	if err != nil {
+		return nil, err
+	}
+
 	syncStats := memsto.NewSyncStats()
 	alertStats := astats.NewSyncStats()
 
 	configCache := memsto.NewConfigCache(ctx, syncStats, nil, "")
-	targetCache := memsto.NewTargetCache(ctx, syncStats, nil)
+	targetCache := memsto.NewTargetCache(ctx, syncStats, redis)
 	busiGroupCache := memsto.NewBusiGroupCache(ctx, syncStats)
 	alertMuteCache := memsto.NewAlertMuteCache(ctx, syncStats)
 	alertRuleCache := memsto.NewAlertRuleCache(ctx, syncStats)
@@ -52,16 +61,22 @@ func Initialize(configDir string, cryptoKey string) (func(), error) {
 	dsCache := memsto.NewDatasourceCache(ctx, syncStats)
 	userCache := memsto.NewUserCache(ctx, syncStats)
 	userGroupCache := memsto.NewUserGroupCache(ctx, syncStats)
+	taskTplsCache := memsto.NewTaskTplCache(ctx)
 
 	promClients := prom.NewPromClient(ctx)
 	tdengineClients := tdengine.NewTdengineClient(ctx, config.Alert.Heartbeat)
 
 	externalProcessors := process.NewExternalProcessors()
 
-	Start(config.Alert, config.Pushgw, syncStats, alertStats, externalProcessors, targetCache, busiGroupCache, alertMuteCache, alertRuleCache, notifyConfigCache, dsCache, ctx, promClients, tdengineClients, userCache, userGroupCache)
+	Start(config.Alert, config.Pushgw, syncStats, alertStats, externalProcessors, targetCache, busiGroupCache, alertMuteCache, alertRuleCache, notifyConfigCache, taskTplsCache, dsCache, ctx, promClients, tdengineClients, userCache, userGroupCache)
 
 	r := httpx.GinEngine(config.Global.RunMode, config.HTTP)
 	rt := router.New(config.HTTP, config.Alert, alertMuteCache, targetCache, busiGroupCache, alertStats, ctx, externalProcessors)
+
+	if config.Ibex.Enable {
+		ibex.ServerStart(false, nil, redis, config.HTTP.APIForService.BasicAuth, config.Alert.Heartbeat, &config.CenterApi, r, nil, config.Ibex, config.HTTP.Port)
+	}
+
 	rt.Config(r)
 	dumper.ConfigRouter(r)
 
@@ -74,7 +89,7 @@ func Initialize(configDir string, cryptoKey string) (func(), error) {
 }
 
 func Start(alertc aconf.Alert, pushgwc pconf.Pushgw, syncStats *memsto.Stats, alertStats *astats.Stats, externalProcessors *process.ExternalProcessorsType, targetCache *memsto.TargetCacheType, busiGroupCache *memsto.BusiGroupCacheType,
-	alertMuteCache *memsto.AlertMuteCacheType, alertRuleCache *memsto.AlertRuleCacheType, notifyConfigCache *memsto.NotifyConfigCacheType, datasourceCache *memsto.DatasourceCacheType, ctx *ctx.Context,
+	alertMuteCache *memsto.AlertMuteCacheType, alertRuleCache *memsto.AlertRuleCacheType, notifyConfigCache *memsto.NotifyConfigCacheType, taskTplsCache *memsto.TaskTplCache, datasourceCache *memsto.DatasourceCacheType, ctx *ctx.Context,
 	promClients *prom.PromClientMap, tdendgineClients *tdengine.TdengineClientMap, userCache *memsto.UserCacheType, userGroupCache *memsto.UserGroupCacheType) {
 	alertSubscribeCache := memsto.NewAlertSubscribeCache(ctx, syncStats)
 	recordingRuleCache := memsto.NewRecordingRuleCache(ctx, syncStats)
@@ -90,7 +105,7 @@ func Start(alertc aconf.Alert, pushgwc pconf.Pushgw, syncStats *memsto.Stats, al
 	eval.NewScheduler(alertc, externalProcessors, alertRuleCache, targetCache, targetsOfAlertRulesCache,
 		busiGroupCache, alertMuteCache, datasourceCache, promClients, tdendgineClients, naming, ctx, alertStats)
 
-	dp := dispatch.NewDispatch(alertRuleCache, userCache, userGroupCache, alertSubscribeCache, targetCache, notifyConfigCache, alertc.Alerting, ctx, alertStats)
+	dp := dispatch.NewDispatch(alertRuleCache, userCache, userGroupCache, alertSubscribeCache, targetCache, notifyConfigCache, taskTplsCache, alertc.Alerting, ctx, alertStats)
 	consumer := dispatch.NewConsumer(alertc.Alerting, ctx, dp)
 
 	go dp.ReloadTpls()

alert/dispatch/dispatch.go

@@ -26,6 +26,7 @@ type Dispatch struct {
 	alertSubscribeCache *memsto.AlertSubscribeCacheType
 	targetCache         *memsto.TargetCacheType
 	notifyConfigCache   *memsto.NotifyConfigCacheType
+	taskTplsCache       *memsto.TaskTplCache
 
 	alerting aconf.Alerting
 
@@ -43,7 +44,7 @@ type Dispatch struct {
 // 创建一个 Notify 实例
 func NewDispatch(alertRuleCache *memsto.AlertRuleCacheType, userCache *memsto.UserCacheType, userGroupCache *memsto.UserGroupCacheType,
 	alertSubscribeCache *memsto.AlertSubscribeCacheType, targetCache *memsto.TargetCacheType, notifyConfigCache *memsto.NotifyConfigCacheType,
-	alerting aconf.Alerting, ctx *ctx.Context, astats *astats.Stats) *Dispatch {
+	taskTplsCache *memsto.TaskTplCache, alerting aconf.Alerting, ctx *ctx.Context, astats *astats.Stats) *Dispatch {
 	notify := &Dispatch{
 		alertRuleCache:      alertRuleCache,
 		userCache:           userCache,
@@ -51,6 +52,7 @@ func NewDispatch(alertRuleCache *memsto.AlertRuleCacheType, userCache *memsto.Us
 		alertSubscribeCache: alertSubscribeCache,
 		targetCache:         targetCache,
 		notifyConfigCache:   notifyConfigCache,
+		taskTplsCache:       taskTplsCache,
 
 		alerting: alerting,
 
@@ -241,7 +243,7 @@ func (e *Dispatch) Send(rule *models.AlertRule, event *models.AlertCurEvent, not
 	}
 
 	// handle event callbacks
-	sender.SendCallbacks(e.ctx, notifyTarget.ToCallbackList(), event, e.targetCache, e.userCache, e.notifyConfigCache.GetIbex(), e.Astats)
+	sender.SendCallbacks(e.ctx, notifyTarget.ToCallbackList(), event, e.targetCache, e.userCache, e.taskTplsCache, e.Astats)
 
 	// handle global webhooks
 	sender.SendWebhooks(notifyTarget.ToWebhookList(), event, e.Astats)

alert/eval/eval.go

@@ -128,10 +128,37 @@ func (arw *AlertRuleWorker) Eval() {
 		return
 	}
 
-	for _, point := range recoverPoints {
-		str := fmt.Sprintf("%v", point.Value)
-		arw.processor.RecoverSingle(process.Hash(cachedRule.Id, arw.processor.DatasourceId(), point), point.Timestamp, &str)
+	if arw.inhibit {
+		pointsMap := make(map[string]common.AnomalyPoint)
+		for _, point := range recoverPoints {
+			// 对于恢复的事件，合并处理
+			tagHash := process.TagHash(point)
+
+			p, exists := pointsMap[tagHash]
+			if !exists {
+				pointsMap[tagHash] = point
+				continue
+			}
+
+			if p.Severity > point.Severity {
+				hash := process.Hash(cachedRule.Id, arw.processor.DatasourceId(), p)
+				arw.processor.DeleteProcessEvent(hash)
+
+				pointsMap[tagHash] = point
+			}
+		}
+
+		for _, point := range pointsMap {
+			str := fmt.Sprintf("%v", point.Value)
+			arw.processor.RecoverSingle(process.Hash(cachedRule.Id, arw.processor.DatasourceId(), point), point.Timestamp, &str)
+		}
+	} else {
+		for _, point := range recoverPoints {
+			str := fmt.Sprintf("%v", point.Value)
+			arw.processor.RecoverSingle(process.Hash(cachedRule.Id, arw.processor.DatasourceId(), point), point.Timestamp, &str)
+		}
 	}
+
 	arw.processor.Handle(anomalyPoints, "inner", arw.inhibit)
 }
 
@@ -192,7 +219,6 @@ func (arw *AlertRuleWorker) GetPromAnomalyPoint(ruleConfig string) []common.Anom
 			logger.Errorf("rule_eval:%s promql:%s, warnings:%v", arw.Key(), promql, warnings)
 			arw.processor.Stats.CounterQueryDataErrorTotal.WithLabelValues(fmt.Sprintf("%d", arw.datasourceId)).Inc()
 			arw.processor.Stats.CounterRuleEvalErrorTotal.WithLabelValues(fmt.Sprintf("%v", arw.processor.DatasourceId()), QUERY_DATA).Inc()
-			continue
 		}
 
 		logger.Debugf("rule_eval:%s query:%+v, value:%v", arw.Key(), query, value)
@@ -319,7 +345,7 @@ func (arw *AlertRuleWorker) GetHostAnomalyPoint(ruleConfig string) []common.Anom
 					missTargets = append(missTargets, ident)
 				}
 			}
-
+			logger.Debugf("rule_eval:%s missTargets:%v", arw.Key(), missTargets)
 			targets := arw.processor.TargetCache.Gets(missTargets)
 			for _, target := range targets {
 				m := make(map[string]string)
@@ -357,7 +383,6 @@ func (arw *AlertRuleWorker) GetHostAnomalyPoint(ruleConfig string) []common.Anom
 					// means this target is not collect by categraf, do not check offset
 					continue
 				}
-
 				if target, exists := targetMap[ident]; exists {
 					if now-target.UpdateAt > 120 {
 						// means this target is not a active host, do not check offset
@@ -371,6 +396,7 @@ func (arw *AlertRuleWorker) GetHostAnomalyPoint(ruleConfig string) []common.Anom
 				}
 			}
 
+			logger.Debugf("rule_eval:%s offsetIdents:%v", arw.Key(), offsetIdents)
 			for host, offset := range offsetIdents {
 				m := make(map[string]string)
 				target, exists := arw.processor.TargetCache.Get(host)
@@ -405,7 +431,7 @@ func (arw *AlertRuleWorker) GetHostAnomalyPoint(ruleConfig string) []common.Anom
 					missTargets = append(missTargets, ident)
 				}
 			}
-
+			logger.Debugf("rule_eval:%s missTargets:%v", arw.Key(), missTargets)
 			pct := float64(len(missTargets)) / float64(len(idents)) * 100
 			if pct >= float64(trigger.Percent) {
 				lst = append(lst, common.NewAnomalyPoint(trigger.Type, nil, now, pct, trigger.Severity))

alert/naming/hashring.go

@@ -67,6 +67,12 @@ func (chr *DatasourceHashRingType) Set(datasourceId string, r *consistent.Consis
 	chr.Rings[datasourceId] = r
 }
 
+func (chr *DatasourceHashRingType) Del(datasourceId string) {
+	chr.Lock()
+	defer chr.Unlock()
+	delete(chr.Rings, datasourceId)
+}
+
 func (chr *DatasourceHashRingType) Clear(engineName string) {
 	chr.Lock()
 	defer chr.Unlock()

alert/naming/heartbeat.go

@@ -110,7 +110,9 @@ func (n *Naming) heartbeat() error {
 		}
 	}
 
+	newDatasource := make(map[int64]struct{})
 	for i := 0; i < len(datasourceIds); i++ {
+		newDatasource[datasourceIds[i]] = struct{}{}
 		servers, err := n.ActiveServers(datasourceIds[i])
 		if err != nil {
 			logger.Warningf("hearbeat %d get active server err:%v", datasourceIds[i], err)
@@ -130,6 +132,13 @@ func (n *Naming) heartbeat() error {
 		localss[datasourceIds[i]] = newss
 	}
 
+	for dsId := range localss {
+		if _, exists := newDatasource[dsId]; !exists {
+			delete(localss, dsId)
+			DatasourceHashRing.Del(fmt.Sprintf("%d", dsId))
+		}
+	}
+
 	// host 告警使用的是 hash ring
 	err = models.AlertingEngineHeartbeatWithCluster(n.ctx, n.heartbeatConfig.Endpoint, n.heartbeatConfig.EngineName, HostDatasource)
 	if err != nil {

alert/process/process.go

@@ -165,7 +165,7 @@ func (p *Processor) Handle(anomalyPoints []common.AnomalyPoint, from string, inh
 		p.handleEvent(events)
 	}
 
-	p.HandleRecover(alertingKeys, now)
+	p.HandleRecover(alertingKeys, now, inhibit)
 }
 
 func (p *Processor) BuildEvent(anomalyPoint common.AnomalyPoint, from string, now int64) *models.AlertCurEvent {
@@ -207,6 +207,11 @@ func (p *Processor) BuildEvent(anomalyPoint common.AnomalyPoint, from string, no
 	event.ExtraConfig = p.rule.ExtraConfigJSON
 	event.PromQl = anomalyPoint.Query
 
+	if event.TriggerValues != "" && strings.Count(event.TriggerValues, "$") > 1 {
+		// TriggerValues 有多个变量，将多个变量都放到 TriggerValue 中
+		event.TriggerValue = event.TriggerValues
+	}
+
 	if from == "inner" {
 		event.LastEvalTime = now
 	} else {
@@ -215,7 +220,7 @@ func (p *Processor) BuildEvent(anomalyPoint common.AnomalyPoint, from string, no
 	return event
 }
 
-func (p *Processor) HandleRecover(alertingKeys map[string]struct{}, now int64) {
+func (p *Processor) HandleRecover(alertingKeys map[string]struct{}, now int64, inhibit bool) {
 	for _, hash := range p.pendings.Keys() {
 		if _, has := alertingKeys[hash]; has {
 			continue
@@ -223,11 +228,54 @@ func (p *Processor) HandleRecover(alertingKeys map[string]struct{}, now int64) {
 		p.pendings.Delete(hash)
 	}
 
+	hashArr := make([]string, 0, len(alertingKeys))
 	for hash := range p.fires.GetAll() {
 		if _, has := alertingKeys[hash]; has {
 			continue
 		}
-		p.RecoverSingle(hash, now, nil)
+
+		hashArr = append(hashArr, hash)
+	}
+	p.HandleRecoverEvent(hashArr, now, inhibit)
+
+}
+
+func (p *Processor) HandleRecoverEvent(hashArr []string, now int64, inhibit bool) {
+	cachedRule := p.rule
+	if cachedRule == nil {
+		return
+	}
+
+	if !inhibit {
+		for _, hash := range hashArr {
+			p.RecoverSingle(hash, now, nil)
+		}
+		return
+	}
+
+	eventMap := make(map[string]models.AlertCurEvent)
+	for _, hash := range hashArr {
+		event, has := p.fires.Get(hash)
+		if !has {
+			continue
+		}
+
+		e, exists := eventMap[event.Tags]
+		if !exists {
+			eventMap[event.Tags] = *event
+			continue
+		}
+
+		if e.Severity > event.Severity {
+			// hash 对应的恢复事件的被抑制了，把之前的事件删除
+			p.fires.Delete(e.Hash)
+			p.pendings.Delete(e.Hash)
+			eventMap[event.Tags] = *event
+		}
+	}
+
+	for _, event := range eventMap {
+		p.RecoverSingle(event.Hash, now, nil)
 	}
 }
 
@@ -472,6 +520,11 @@ func (p *Processor) mayHandleGroup() {
 	}
 }
 
+func (p *Processor) DeleteProcessEvent(hash string) {
+	p.fires.Delete(hash)
+	p.pendings.Delete(hash)
+}
+
 func labelMapToArr(m map[string]string) []string {
 	numLabels := len(m)
 

alert/sender/callback.go

@@ -2,23 +2,24 @@ package sender
 
 import (
 	"encoding/json"
+	"fmt"
 	"strconv"
 	"strings"
 	"time"
 
-	"github.com/ccfos/nightingale/v6/alert/aconf"
 	"github.com/ccfos/nightingale/v6/alert/astats"
 	"github.com/ccfos/nightingale/v6/memsto"
 	"github.com/ccfos/nightingale/v6/models"
 	"github.com/ccfos/nightingale/v6/pkg/ctx"
-	"github.com/ccfos/nightingale/v6/pkg/ibex"
 	"github.com/ccfos/nightingale/v6/pkg/poster"
 
+	imodels "github.com/flashcatcloud/ibex/src/models"
+	"github.com/flashcatcloud/ibex/src/storage"
 	"github.com/toolkits/pkg/logger"
 )
 
 func SendCallbacks(ctx *ctx.Context, urls []string, event *models.AlertCurEvent, targetCache *memsto.TargetCacheType, userCache *memsto.UserCacheType,
-	ibexConf aconf.Ibex, stats *astats.Stats) {
+	taskTplCache *memsto.TaskTplCache, stats *astats.Stats) {
 	for _, url := range urls {
 		if url == "" {
 			continue
@@ -26,7 +27,7 @@ func SendCallbacks(ctx *ctx.Context, urls []string, event *models.AlertCurEvent,
 
 		if strings.HasPrefix(url, "${ibex}") {
 			if !event.IsRecovered {
-				handleIbex(ctx, url, event, targetCache, userCache, ibexConf)
+				handleIbex(ctx, url, event, targetCache, userCache, taskTplCache)
 			}
 			continue
 		}
@@ -46,27 +47,18 @@ func SendCallbacks(ctx *ctx.Context, urls []string, event *models.AlertCurEvent,
 	}
 }
 
-type TaskForm struct {
-	Title     string   `json:"title"`
-	Account   string   `json:"account"`
-	Batch     int      `json:"batch"`
-	Tolerance int      `json:"tolerance"`
-	Timeout   int      `json:"timeout"`
-	Pause     string   `json:"pause"`
-	Script    string   `json:"script"`
-	Args      string   `json:"args"`
-	Stdin     string   `json:"stdin"`
-	Action    string   `json:"action"`
-	Creator   string   `json:"creator"`
-	Hosts     []string `json:"hosts"`
-}
-
 type TaskCreateReply struct {
 	Err string `json:"err"`
 	Dat int64  `json:"dat"` // task.id
 }
 
-func handleIbex(ctx *ctx.Context, url string, event *models.AlertCurEvent, targetCache *memsto.TargetCacheType, userCache *memsto.UserCacheType, ibexConf aconf.Ibex) {
+func handleIbex(ctx *ctx.Context, url string, event *models.AlertCurEvent, targetCache *memsto.TargetCacheType, userCache *memsto.UserCacheType,
+	taskTplCache *memsto.TaskTplCache) {
+	if imodels.DB() == nil {
+		logger.Warning("event_callback_ibex: db is nil")
+		return
+	}
+
 	arr := strings.Split(url, "/")
 
 	var idstr string
@@ -96,12 +88,7 @@ func handleIbex(ctx *ctx.Context, url string, event *models.AlertCurEvent, targe
 		return
 	}
 
-	tpl, err := models.TaskTplGetById(ctx, id)
-	if err != nil {
-		logger.Errorf("event_callback_ibex: failed to get tpl: %v", err)
-		return
-	}
-
+	tpl := taskTplCache.Get(id)
 	if tpl == nil {
 		logger.Errorf("event_callback_ibex: no such tpl(%d)", id)
 		return
@@ -109,7 +96,7 @@ func handleIbex(ctx *ctx.Context, url string, event *models.AlertCurEvent, targe
 
 	// check perm
 	// tpl.GroupId - host - account 三元组校验权限
-	can, err := canDoIbex(ctx, tpl.UpdateBy, tpl, host, targetCache, userCache)
+	can, err := canDoIbex(tpl.UpdateBy, tpl, host, targetCache, userCache)
 	if err != nil {
 		logger.Errorf("event_callback_ibex: check perm fail: %v", err)
 		return
@@ -145,61 +132,43 @@ func handleIbex(ctx *ctx.Context, url string, event *models.AlertCurEvent, targe
 	}
 
 	// call ibex
-	in := TaskForm{
-		Title:     tpl.Title + " FH: " + host,
-		Account:   tpl.Account,
-		Batch:     tpl.Batch,
-		Tolerance: tpl.Tolerance,
-		Timeout:   tpl.Timeout,
-		Pause:     tpl.Pause,
-		Script:    tpl.Script,
-		Args:      tpl.Args,
-		Stdin:     string(tags),
-		Action:    "start",
-		Creator:   tpl.UpdateBy,
-		Hosts:     []string{host},
+	in := models.TaskForm{
+		Title:          tpl.Title + " FH: " + host,
+		Account:        tpl.Account,
+		Batch:          tpl.Batch,
+		Tolerance:      tpl.Tolerance,
+		Timeout:        tpl.Timeout,
+		Pause:          tpl.Pause,
+		Script:         tpl.Script,
+		Args:           tpl.Args,
+		Stdin:          string(tags),
+		Action:         "start",
+		Creator:        tpl.UpdateBy,
+		Hosts:          []string{host},
+		AlertTriggered: true,
 	}
 
-	var res TaskCreateReply
-	err = ibex.New(
-		ibexConf.Address,
-		ibexConf.BasicAuthUser,
-		ibexConf.BasicAuthPass,
-		ibexConf.Timeout,
-	).
-		Path("/ibex/v1/tasks").
-		In(in).
-		Out(&res).
-		POST()
-
+	id, err = TaskAdd(in, tpl.UpdateBy, ctx.IsCenter)
 	if err != nil {
 		logger.Errorf("event_callback_ibex: call ibex fail: %v", err)
 		return
 	}
 
-	if res.Err != "" {
-		logger.Errorf("event_callback_ibex: call ibex response error: %v", res.Err)
-		return
-	}
-
 	// write db
 	record := models.TaskRecord{
-		Id:           res.Dat,
-		EventId:      event.Id,
-		GroupId:      tpl.GroupId,
-		IbexAddress:  ibexConf.Address,
-		IbexAuthUser: ibexConf.BasicAuthUser,
-		IbexAuthPass: ibexConf.BasicAuthPass,
-		Title:        in.Title,
-		Account:      in.Account,
-		Batch:        in.Batch,
-		Tolerance:    in.Tolerance,
-		Timeout:      in.Timeout,
-		Pause:        in.Pause,
-		Script:       in.Script,
-		Args:         in.Args,
-		CreateAt:     time.Now().Unix(),
-		CreateBy:     in.Creator,
+		Id:        id,
+		EventId:   event.Id,
+		GroupId:   tpl.GroupId,
+		Title:     in.Title,
+		Account:   in.Account,
+		Batch:     in.Batch,
+		Tolerance: in.Tolerance,
+		Timeout:   in.Timeout,
+		Pause:     in.Pause,
+		Script:    in.Script,
+		Args:      in.Args,
+		CreateAt:  time.Now().Unix(),
+		CreateBy:  in.Creator,
 	}
 
 	if err = record.Add(ctx); err != nil {
@@ -207,7 +176,7 @@ func handleIbex(ctx *ctx.Context, url string, event *models.AlertCurEvent, targe
 	}
 }
 
-func canDoIbex(ctx *ctx.Context, username string, tpl *models.TaskTpl, host string, targetCache *memsto.TargetCacheType, userCache *memsto.UserCacheType) (bool, error) {
+func canDoIbex(username string, tpl *models.TaskTpl, host string, targetCache *memsto.TargetCacheType, userCache *memsto.UserCacheType) (bool, error) {
 	user := userCache.GetByUsername(username)
 	if user != nil && user.IsAdmin() {
 		return true, nil
@@ -220,3 +189,88 @@ func canDoIbex(ctx *ctx.Context, username string, tpl *models.TaskTpl, host stri
 
 	return target.GroupId == tpl.GroupId, nil
 }
+
+func TaskAdd(f models.TaskForm, authUser string, isCenter bool) (int64, error) {
+	hosts := cleanHosts(f.Hosts)
+	if len(hosts) == 0 {
+		return 0, fmt.Errorf("arg(hosts) empty")
+	}
+
+	taskMeta := &imodels.TaskMeta{
+		Title:     f.Title,
+		Account:   f.Account,
+		Batch:     f.Batch,
+		Tolerance: f.Tolerance,
+		Timeout:   f.Timeout,
+		Pause:     f.Pause,
+		Script:    f.Script,
+		Args:      f.Args,
+		Stdin:     f.Stdin,
+		Creator:   f.Creator,
+	}
+
+	err := taskMeta.CleanFields()
+	if err != nil {
+		return 0, err
+	}
+
+	taskMeta.HandleFH(hosts[0])
+
+	// 任务类型分为"告警规则触发"和"n9e center用户下发"两种；
+	// 边缘机房"告警规则触发"的任务不需要规划，并且它可能是失联的，无法使用db资源，所以放入redis缓存中，直接下发给agentd执行
+	if !isCenter && f.AlertTriggered {
+		if err := taskMeta.Create(); err != nil {
+			// 当网络不连通时，生成唯一的id，防止边缘机房中不同任务的id相同；
+			// 方法是，redis自增id去防止同一个机房的不同n9e edge生成的id相同；
+			// 但没法防止不同边缘机房生成同样的id，所以，生成id的数据不会上报存入数据库，只用于闭环执行。
+			taskMeta.Id, err = storage.IdGet()
+			if err != nil {
+				return 0, err
+			}
+		}
+
+		taskHost := imodels.TaskHost{
+			Id:     taskMeta.Id,
+			Host:   hosts[0],
+			Status: "running",
+		}
+		if err = taskHost.Create(); err != nil {
+			logger.Warningf("task_add_fail: authUser=%s title=%s err=%s", authUser, taskMeta.Title, err.Error())
+		}
+
+		// 缓存任务元信息和待下发的任务
+		err = taskMeta.Cache(hosts[0])
+		if err != nil {
+			return 0, err
+		}
+
+	} else {
+		// 如果是中心机房，还是保持之前的逻辑
+		err = taskMeta.Save(hosts, f.Action)
+		if err != nil {
+			return 0, err
+		}
+	}
+
+	logger.Infof("task_add_succ: authUser=%s title=%s", authUser, taskMeta.Title)
+	return taskMeta.Id, nil
+}
+
+func cleanHosts(formHosts []string) []string {
+	cnt := len(formHosts)
+	arr := make([]string, 0, cnt)
+	for i := 0; i < cnt; i++ {
+		item := strings.TrimSpace(formHosts[i])
+		if item == "" {
+			continue
+		}
+
+		if strings.HasPrefix(item, "#") {
+			continue
+		}
+
+		arr = append(arr, item)
+	}
+
+	return arr
+}

alert/sender/email.go

@@ -86,12 +86,18 @@ func (es *EmailSender) WriteEmail(subject, content string, tos []string) {
 
 func dialSmtp(d *gomail.Dialer) gomail.SendCloser {
 	for {
-		if s, err := d.Dial(); err != nil {
-			logger.Errorf("email_sender: failed to dial smtp: %s", err)
+		select {
+		case <-mailQuit:
+			// Note that Sendcloser is not obtained below,
+			// and the outgoing signal (with configuration changes) exits the current dial
+			return nil
+		default:
+			if s, err := d.Dial(); err != nil {
+				logger.Errorf("email_sender: failed to dial smtp: %s", err)
+			} else {
+				return s
+			}
 			time.Sleep(time.Second)
-			continue
-		} else {
-			return s
 		}
 	}
 }
@@ -99,8 +105,8 @@ func dialSmtp(d *gomail.Dialer) gomail.SendCloser {
 var mailQuit = make(chan struct{})
 
 func RestartEmailSender(smtp aconf.SMTPConfig) {
-	close(mailQuit)
-	mailQuit = make(chan struct{})
+	// Notify internal start exit
+	mailQuit <- struct{}{}
 	startEmailSender(smtp)
 }
 
@@ -111,7 +117,6 @@ func InitEmailSender(ncc *memsto.NotifyConfigCacheType) {
 	go updateSmtp(ncc)
 	smtpConfig = ncc.GetSMTP()
 	startEmailSender(smtpConfig)
-
 }
 
 func updateSmtp(ncc *memsto.NotifyConfigCacheType) {
@@ -154,6 +159,12 @@ func startEmailSender(smtp aconf.SMTPConfig) {
 
 			if !open {
 				s = dialSmtp(d)
+				if s == nil {
+					// Indicates that the dialing failed and exited the current goroutine directly,
+					// but put the Message back in the mailch
+					mailch <- m
+					return
+				}
 				open = true
 			}
 			if err := gomail.Send(s, m); err != nil {
@@ -165,6 +176,12 @@ func startEmailSender(smtp aconf.SMTPConfig) {
 				}
 
 				s = dialSmtp(d)
+				if s == nil {
+					// Indicates that the dialing failed and exited the current goroutine directly,
+					// but put the Message back in the mailch
+					mailch <- m
+					return
+				}
 				open = true
 
 				if err := gomail.Send(s, m); err != nil {

alert/sender/webhook.go

@@ -38,7 +38,7 @@ func SendWebhooks(webhooks []*models.Webhook, event *models.AlertCurEvent, stats
 
 		if len(conf.Headers) > 0 && len(conf.Headers)%2 == 0 {
 			for i := 0; i < len(conf.Headers); i += 2 {
-				if conf.Headers[i] == "host" {
+				if conf.Headers[i] == "host" || conf.Headers[i] == "Host" {
 					req.Host = conf.Headers[i+1]
 					continue
 				}

center/cconf/conf.go

@@ -12,6 +12,7 @@ type Center struct {
 	AnonymousAccess        AnonymousAccess
 	UseFileAssets          bool
 	FlashDuty              FlashDuty
+	EventHistoryGroupView  bool
 }
 
 type Plugin struct {
@@ -22,8 +23,9 @@ type Plugin struct {
 }
 
 type FlashDuty struct {
-	Api     string        `json:"api"`
-	Timeout time.Duration `json:"timeout"`
+	Api     string
+	Headers map[string]string
+	Timeout time.Duration
 }
 
 type AnonymousAccess struct {

center/cconf/ops.go

@@ -76,7 +76,6 @@ ops:
     - "/dashboards/add"
     - "/dashboards/put"
     - "/dashboards/del"
-    - "/dashboards-built-in"
 
 - name: alert
   cname: 告警规则
@@ -85,7 +84,7 @@ ops:
     - "/alert-rules/add"
     - "/alert-rules/put"
     - "/alert-rules/del"
-    - "/alert-rules-built-in"
+
 - name: alert-mutes
   cname: 告警静默管理
   ops:
@@ -172,6 +171,22 @@ ops:
   - "/busi-groups/put"
   - "/busi-groups/del"
 
+- name: builtin-metrics
+  cname: 指标视图
+  ops:
+    - "/metrics-built-in"
+    - "/builtin-metrics/add"
+    - "/builtin-metrics/put"
+    - "/builtin-metrics/del"
+
+- name: built-in-components
+  cname: 模版中心
+  ops:
+    - "/built-in-components"
+    - "/built-in-components/add"
+    - "/built-in-components/put"
+    - "/built-in-components/del"
+
 - name: system
   cname: 系统信息
   ops:

center/center.go

@@ -7,10 +7,13 @@ import (
 	"github.com/ccfos/nightingale/v6/alert"
 	"github.com/ccfos/nightingale/v6/alert/astats"
 	"github.com/ccfos/nightingale/v6/alert/process"
+	alertrt "github.com/ccfos/nightingale/v6/alert/router"
 	"github.com/ccfos/nightingale/v6/center/cconf"
 	"github.com/ccfos/nightingale/v6/center/cconf/rsa"
 	"github.com/ccfos/nightingale/v6/center/cstats"
+	"github.com/ccfos/nightingale/v6/center/integration"
 	"github.com/ccfos/nightingale/v6/center/metas"
+	centerrt "github.com/ccfos/nightingale/v6/center/router"
 	"github.com/ccfos/nightingale/v6/center/sso"
 	"github.com/ccfos/nightingale/v6/conf"
 	"github.com/ccfos/nightingale/v6/dumper"
@@ -25,13 +28,12 @@ import (
 	"github.com/ccfos/nightingale/v6/pkg/version"
 	"github.com/ccfos/nightingale/v6/prom"
 	"github.com/ccfos/nightingale/v6/pushgw/idents"
+	pushgwrt "github.com/ccfos/nightingale/v6/pushgw/router"
 	"github.com/ccfos/nightingale/v6/pushgw/writer"
 	"github.com/ccfos/nightingale/v6/storage"
 	"github.com/ccfos/nightingale/v6/tdengine"
 
-	alertrt "github.com/ccfos/nightingale/v6/alert/router"
-	centerrt "github.com/ccfos/nightingale/v6/center/router"
-	pushgwrt "github.com/ccfos/nightingale/v6/pushgw/router"
+	"github.com/flashcatcloud/ibex/src/cmd/ibex"
 )
 
 func Initialize(configDir string, cryptoKey string) (func(), error) {
@@ -62,11 +64,14 @@ func Initialize(configDir string, cryptoKey string) (func(), error) {
 	migrate.Migrate(db)
 	models.InitRoot(ctx)
 
+	config.HTTP.JWTAuth.SigningKey = models.InitJWTSigningKey(ctx)
+
 	err = rsa.InitRSAConfig(ctx, &config.HTTP.RSA)
 	if err != nil {
 		return nil, err
 	}
 
+	integration.Init(ctx, config.Center.BuiltinIntegrationsDir)
 	var redis storage.Redis
 	redis, err = storage.NewRedis(config.Redis)
 	if err != nil {
@@ -79,8 +84,6 @@ func Initialize(configDir string, cryptoKey string) (func(), error) {
 	syncStats := memsto.NewSyncStats()
 	alertStats := astats.NewSyncStats()
 
-	sso := sso.Init(config.Center, ctx)
-
 	configCache := memsto.NewConfigCache(ctx, syncStats, config.HTTP.RSA.RSAPrivateKey, config.HTTP.RSA.RSAPassWord)
 	busiGroupCache := memsto.NewBusiGroupCache(ctx, syncStats)
 	targetCache := memsto.NewTargetCache(ctx, syncStats, redis)
@@ -90,12 +93,14 @@ func Initialize(configDir string, cryptoKey string) (func(), error) {
 	notifyConfigCache := memsto.NewNotifyConfigCache(ctx, configCache)
 	userCache := memsto.NewUserCache(ctx, syncStats)
 	userGroupCache := memsto.NewUserGroupCache(ctx, syncStats)
+	taskTplCache := memsto.NewTaskTplCache(ctx)
 
+	sso := sso.Init(config.Center, ctx, configCache)
 	promClients := prom.NewPromClient(ctx)
 	tdengineClients := tdengine.NewTdengineClient(ctx, config.Alert.Heartbeat)
 
 	externalProcessors := process.NewExternalProcessors()
-	alert.Start(config.Alert, config.Pushgw, syncStats, alertStats, externalProcessors, targetCache, busiGroupCache, alertMuteCache, alertRuleCache, notifyConfigCache, dsCache, ctx, promClients, tdengineClients, userCache, userGroupCache)
+	alert.Start(config.Alert, config.Pushgw, syncStats, alertStats, externalProcessors, targetCache, busiGroupCache, alertMuteCache, alertRuleCache, notifyConfigCache, taskTplCache, dsCache, ctx, promClients, tdengineClients, userCache, userGroupCache)
 
 	writers := writer.NewWriters(config.Pushgw)
 
@@ -113,6 +118,11 @@ func Initialize(configDir string, cryptoKey string) (func(), error) {
 	pushgwRouter.Config(r)
 	dumper.ConfigRouter(r)
 
+	if config.Ibex.Enable {
+		migrate.MigrateIbexTables(db)
+		ibex.ServerStart(true, db, redis, config.HTTP.APIForService.BasicAuth, config.Alert.Heartbeat, &config.CenterApi, r, centerRouter, config.Ibex, config.HTTP.Port)
+	}
+
 	httpClean := httpx.Init(config.HTTP, r)
 
 	return func() {

center/integration/init.go

@@ -0,0 +1,365 @@
+package integration
+
+import (
+	"encoding/json"
+	"path"
+	"strings"
+	"time"
+
+	"github.com/ccfos/nightingale/v6/models"
+	"github.com/ccfos/nightingale/v6/pkg/ctx"
+	"github.com/toolkits/pkg/file"
+	"github.com/toolkits/pkg/logger"
+	"github.com/toolkits/pkg/runner"
+)
+
+const SYSTEM = "system"
+
+func Init(ctx *ctx.Context, builtinIntegrationsDir string) {
+	fp := builtinIntegrationsDir
+	if fp == "" {
+		fp = path.Join(runner.Cwd, "integrations")
+	}
+
+	// var fileList []string
+	dirList, err := file.DirsUnder(fp)
+	if err != nil {
+		logger.Warning("read builtin component dir fail ", err)
+		return
+	}
+
+	for _, dir := range dirList {
+		// components icon
+		componentDir := fp + "/" + dir
+		component := models.BuiltinComponent{
+			Ident: dir,
+		}
+
+		// get logo name
+		// /api/n9e/integrations/icon/AliYun/aliyun.png
+		files, err := file.FilesUnder(componentDir + "/icon")
+		if err == nil && len(files) > 0 {
+			component.Logo = "/api/n9e/integrations/icon/" + component.Ident + "/" + files[0]
+		} else if err != nil {
+			logger.Warningf("read builtin component icon dir fail %s %v", component.Ident, err)
+		}
+
+		// get description
+		files, err = file.FilesUnder(componentDir + "/markdown")
+		if err == nil && len(files) > 0 {
+			var readmeFile string
+			for _, file := range files {
+				if strings.HasSuffix(strings.ToLower(file), "md") {
+					readmeFile = componentDir + "/markdown/" + file
+					break
+				}
+			}
+			if readmeFile != "" {
+				component.Readme, _ = file.ReadString(readmeFile)
+			}
+		} else if err != nil {
+			logger.Warningf("read builtin component markdown dir fail %s %v", component.Ident, err)
+		}
+
+		exists, _ := models.BuiltinComponentExists(ctx, &component)
+		if !exists {
+			err = component.Add(ctx, SYSTEM)
+			if err != nil {
+				logger.Warning("add builtin component fail ", component, err)
+				continue
+			}
+		} else {
+			old, err := models.BuiltinComponentGet(ctx, "ident = ?", component.Ident)
+			if err != nil {
+				logger.Warning("get builtin component fail ", component, err)
+				continue
+			}
+
+			if old == nil {
+				logger.Warning("get builtin component nil ", component)
+				continue
+			}
+
+			if old.UpdatedBy == SYSTEM {
+				now := time.Now().Unix()
+				old.CreatedAt = now
+				old.UpdatedAt = now
+				old.Readme = component.Readme
+				old.UpdatedBy = SYSTEM
+
+				err = models.DB(ctx).Model(old).Select("*").Updates(old).Error
+				if err != nil {
+					logger.Warning("update builtin component fail ", old, err)
+				}
+			}
+		}
+
+		// delete uuid is emtpy
+		err = models.DB(ctx).Exec("delete from builtin_payloads where uuid = 0 and type != 'collect' and (updated_by = 'system' or updated_by = '')").Error
+		if err != nil {
+			logger.Warning("delete builtin payloads fail ", err)
+		}
+
+		// delete builtin metrics uuid is emtpy
+		err = models.DB(ctx).Exec("delete from builtin_metrics where uuid = 0 and (updated_by = 'system' or updated_by = '')").Error
+		if err != nil {
+			logger.Warning("delete builtin metrics fail ", err)
+		}
+
+		// alerts
+		files, err = file.FilesUnder(componentDir + "/alerts")
+		if err == nil && len(files) > 0 {
+			for _, f := range files {
+				fp := componentDir + "/alerts/" + f
+				bs, err := file.ReadBytes(fp)
+				if err != nil {
+					logger.Warning("read builtin component alerts file fail ", f, err)
+					continue
+				}
+
+				alerts := []models.AlertRule{}
+				err = json.Unmarshal(bs, &alerts)
+				if err != nil {
+					logger.Warning("parse builtin component alerts file fail ", f, err)
+					continue
+				}
+
+				newAlerts := []models.AlertRule{}
+				writeAlertFileFlag := false
+				for _, alert := range alerts {
+					if alert.UUID == 0 {
+						writeAlertFileFlag = true
+						alert.UUID = time.Now().UnixNano()
+					}
+
+					newAlerts = append(newAlerts, alert)
+					content, err := json.Marshal(alert)
+					if err != nil {
+						logger.Warning("marshal builtin alert fail ", alert, err)
+						continue
+					}
+
+					cate := strings.Replace(f, ".json", "", -1)
+					builtinAlert := models.BuiltinPayload{
+						Component: component.Ident,
+						Type:      "alert",
+						Cate:      cate,
+						Name:      alert.Name,
+						Tags:      alert.AppendTags,
+						Content:   string(content),
+						UUID:      alert.UUID,
+					}
+
+					old, err := models.BuiltinPayloadGet(ctx, "uuid = ?", alert.UUID)
+					if err != nil {
+						logger.Warning("get builtin alert fail ", builtinAlert, err)
+						continue
+					}
+
+					if old == nil {
+						err := builtinAlert.Add(ctx, SYSTEM)
+						if err != nil {
+							logger.Warning("add builtin alert fail ", builtinAlert, err)
+						}
+						continue
+					}
+
+					if old.UpdatedBy == SYSTEM {
+						old.Content = string(content)
+						old.Name = alert.Name
+						old.Tags = alert.AppendTags
+						err = models.DB(ctx).Model(old).Select("*").Updates(old).Error
+						if err != nil {
+							logger.Warningf("update builtin alert:%+v fail %v", builtinAlert, err)
+						}
+					}
+				}
+
+				if writeAlertFileFlag {
+					bs, err = json.MarshalIndent(newAlerts, "", "    ")
+					if err != nil {
+						logger.Warning("marshal builtin alerts fail ", newAlerts, err)
+						continue
+					}
+
+					_, err = file.WriteBytes(fp, bs)
+					if err != nil {
+						logger.Warning("write builtin alerts file fail ", f, err)
+					}
+				}
+
+			}
+		}
+
+		// dashboards
+		files, err = file.FilesUnder(componentDir + "/dashboards")
+		if err == nil && len(files) > 0 {
+			for _, f := range files {
+				fp := componentDir + "/dashboards/" + f
+				bs, err := file.ReadBytes(fp)
+				if err != nil {
+					logger.Warning("read builtin component dashboards file fail ", f, err)
+					continue
+				}
+
+				dashboard := BuiltinBoard{}
+				err = json.Unmarshal(bs, &dashboard)
+				if err != nil {
+					logger.Warning("parse builtin component dashboards file fail ", f, err)
+					continue
+				}
+
+				if dashboard.UUID == 0 {
+					dashboard.UUID = time.Now().UnixNano()
+					// 补全文件中的 uuid
+					bs, err = json.MarshalIndent(dashboard, "", "    ")
+					if err != nil {
+						logger.Warning("marshal builtin dashboard fail ", dashboard, err)
+						continue
+					}
+
+					_, err = file.WriteBytes(fp, bs)
+					if err != nil {
+						logger.Warning("write builtin dashboard file fail ", f, err)
+					}
+				}
+
+				content, err := json.Marshal(dashboard)
+				if err != nil {
+					logger.Warning("marshal builtin dashboard fail ", dashboard, err)
+					continue
+				}
+
+				builtinDashboard := models.BuiltinPayload{
+					Component: component.Ident,
+					Type:      "dashboard",
+					Cate:      "",
+					Name:      dashboard.Name,
+					Tags:      dashboard.Tags,
+					Content:   string(content),
+					UUID:      dashboard.UUID,
+				}
+
+				old, err := models.BuiltinPayloadGet(ctx, "uuid = ?", dashboard.UUID)
+				if err != nil {
+					logger.Warning("get builtin alert fail ", builtinDashboard, err)
+					continue
+				}
+
+				if old == nil {
+					err := builtinDashboard.Add(ctx, SYSTEM)
+					if err != nil {
+						logger.Warning("add builtin alert fail ", builtinDashboard, err)
+					}
+					continue
+				}
+
+				if old.UpdatedBy == SYSTEM {
+					old.Content = string(content)
+					old.Name = dashboard.Name
+					old.Tags = dashboard.Tags
+					err = models.DB(ctx).Model(old).Select("*").Updates(old).Error
+					if err != nil {
+						logger.Warningf("update builtin alert:%+v fail %v", builtinDashboard, err)
+					}
+				}
+			}
+		} else if err != nil {
+			logger.Warningf("read builtin component dash dir fail %s %v", component.Ident, err)
+		}
+
+		// metrics
+		files, err = file.FilesUnder(componentDir + "/metrics")
+		if err == nil && len(files) > 0 {
+			for _, f := range files {
+				fp := componentDir + "/metrics/" + f
+				bs, err := file.ReadBytes(fp)
+				if err != nil {
+					logger.Warning("read builtin component metrics file fail", f, err)
+					continue
+				}
+
+				metrics := []models.BuiltinMetric{}
+				newMetrics := []models.BuiltinMetric{}
+				err = json.Unmarshal(bs, &metrics)
+				if err != nil {
+					logger.Warning("parse builtin component metrics file fail", f, err)
+					continue
+				}
+
+				writeMetricFileFlag := false
+				for _, metric := range metrics {
+					if metric.UUID == 0 {
+						writeMetricFileFlag = true
+						metric.UUID = time.Now().UnixNano()
+					}
+					newMetrics = append(newMetrics, metric)
+
+					old, err := models.BuiltinMetricGet(ctx, "uuid = ?", metric.UUID)
+					if err != nil {
+						logger.Warning("get builtin metrics fail ", metric, err)
+						continue
+					}
+
+					if old == nil {
+						err := metric.Add(ctx, SYSTEM)
+						if err != nil {
+							logger.Warning("add builtin metrics fail ", metric, err)
+						}
+						continue
+					}
+
+					if old.UpdatedBy == SYSTEM {
+						old.Collector = metric.Collector
+						old.Typ = metric.Typ
+						old.Name = metric.Name
+						old.Unit = metric.Unit
+						old.Note = metric.Note
+						old.Lang = metric.Lang
+						old.Expression = metric.Expression
+
+						err = models.DB(ctx).Model(old).Select("*").Updates(old).Error
+						if err != nil {
+							logger.Warningf("update builtin metric:%+v fail %v", metric, err)
+						}
+					}
+				}
+
+				if writeMetricFileFlag {
+					bs, err = json.MarshalIndent(newMetrics, "", "    ")
+					if err != nil {
+						logger.Warning("marshal builtin metrics fail ", newMetrics, err)
+						continue
+					}
+
+					_, err = file.WriteBytes(fp, bs)
+					if err != nil {
+						logger.Warning("write builtin metrics file fail ", f, err)
+					}
+				}
+
+			}
+		} else if err != nil {
+			logger.Warningf("read builtin component metrics dir fail %s %v", component.Ident, err)
+		}
+	}
+}
+
+type BuiltinBoard struct {
+	Id         int64       `json:"id" gorm:"primaryKey"`
+	GroupId    int64       `json:"group_id"`
+	Name       string      `json:"name"`
+	Ident      string      `json:"ident"`
+	Tags       string      `json:"tags"`
+	CreateAt   int64       `json:"create_at"`
+	CreateBy   string      `json:"create_by"`
+	UpdateAt   int64       `json:"update_at"`
+	UpdateBy   string      `json:"update_by"`
+	Configs    interface{} `json:"configs" gorm:"-"`
+	Public     int         `json:"public"`      // 0: false, 1: true
+	PublicCate int         `json:"public_cate"` // 0: anonymous, 1: login, 2: busi
+	Bgids      []int64     `json:"bgids" gorm:"-"`
+	BuiltIn    int         `json:"built_in"` // 0: false, 1: true
+	Hide       int         `json:"hide"`     // 0: false, 1: true
+	UUID       int64       `json:"uuid"`
+}

center/router/router.go

@@ -92,14 +92,14 @@ func languageDetector(i18NHeaderKey string) gin.HandlerFunc {
 			lang := c.GetHeader(headerKey)
 			if lang != "" {
 				if strings.HasPrefix(lang, "zh") {
-					c.Request.Header.Set("X-Language", "zh")
+					c.Request.Header.Set("X-Language", "zh_CN")
 				} else if strings.HasPrefix(lang, "en") {
 					c.Request.Header.Set("X-Language", "en")
 				} else {
 					c.Request.Header.Set("X-Language", lang)
 				}
 			} else {
-				c.Request.Header.Set("X-Language", "en")
+				c.Request.Header.Set("X-Language", "zh_CN")
 			}
 		}
 		c.Next()
@@ -229,6 +229,20 @@ func (rt *Router) Config(r *gin.Engine) {
 		pages.POST("/metric-views", rt.auth(), rt.user(), rt.metricViewAdd)
 		pages.PUT("/metric-views", rt.auth(), rt.user(), rt.metricViewPut)
 
+		pages.GET("/builtin-metric-filters", rt.auth(), rt.user(), rt.metricFilterGets)
+		pages.DELETE("/builtin-metric-filters", rt.auth(), rt.user(), rt.metricFilterDel)
+		pages.POST("/builtin-metric-filters", rt.auth(), rt.user(), rt.metricFilterAdd)
+		pages.PUT("/builtin-metric-filters", rt.auth(), rt.user(), rt.metricFilterPut)
+		pages.POST("/builtin-metric-promql", rt.auth(), rt.user(), rt.getMetricPromql)
+
+		pages.POST("/builtin-metrics", rt.auth(), rt.user(), rt.perm("/builtin-metrics/add"), rt.builtinMetricsAdd)
+		pages.PUT("/builtin-metrics", rt.auth(), rt.user(), rt.perm("/builtin-metrics/put"), rt.builtinMetricsPut)
+		pages.DELETE("/builtin-metrics", rt.auth(), rt.user(), rt.perm("/builtin-metrics/del"), rt.builtinMetricsDel)
+		pages.GET("/builtin-metrics", rt.auth(), rt.user(), rt.builtinMetricsGets)
+		pages.GET("/builtin-metrics/types", rt.auth(), rt.user(), rt.builtinMetricsTypes)
+		pages.GET("/builtin-metrics/types/default", rt.auth(), rt.user(), rt.builtinMetricsDefaultTypes)
+		pages.GET("/builtin-metrics/collectors", rt.auth(), rt.user(), rt.builtinMetricsCollectors)
+
 		pages.GET("/user-groups", rt.auth(), rt.user(), rt.userGroupGets)
 		pages.POST("/user-groups", rt.auth(), rt.user(), rt.perm("/user-groups/add"), rt.userGroupAdd)
 		pages.GET("/user-group/:id", rt.auth(), rt.user(), rt.userGroupGet)
@@ -260,20 +274,21 @@ func (rt *Router) Config(r *gin.Engine) {
 		pages.POST("/builtin-cate-favorite", rt.auth(), rt.user(), rt.builtinCateFavoriteAdd)
 		pages.DELETE("/builtin-cate-favorite/:name", rt.auth(), rt.user(), rt.builtinCateFavoriteDel)
 
-		pages.GET("/builtin-boards", rt.builtinBoardGets)
-		pages.GET("/builtin-board/:name", rt.builtinBoardGet)
-		pages.GET("/dashboards/builtin/list", rt.builtinBoardGets)
-		pages.GET("/builtin-boards-cates", rt.auth(), rt.user(), rt.builtinBoardCateGets)
-		pages.POST("/builtin-boards-detail", rt.auth(), rt.user(), rt.builtinBoardDetailGets)
 		pages.GET("/integrations/icon/:cate/:name", rt.builtinIcon)
-		pages.GET("/integrations/makedown/:cate", rt.builtinMarkdown)
+
+		// pages.GET("/builtin-boards", rt.builtinBoardGets)
+		// pages.GET("/builtin-board/:name", rt.builtinBoardGet)
+		// pages.GET("/dashboards/builtin/list", rt.builtinBoardGets)
+		// pages.GET("/builtin-boards-cates", rt.auth(), rt.user(), rt.builtinBoardCateGets)
+		// pages.POST("/builtin-boards-detail", rt.auth(), rt.user(), rt.builtinBoardDetailGets)
+		// pages.GET("/integrations/makedown/:cate", rt.builtinMarkdown)
 
 		pages.GET("/busi-groups/public-boards", rt.auth(), rt.user(), rt.perm("/dashboards"), rt.publicBoardGets)
 		pages.GET("/busi-groups/boards", rt.auth(), rt.user(), rt.perm("/dashboards"), rt.boardGetsByGids)
 		pages.GET("/busi-group/:id/boards", rt.auth(), rt.user(), rt.perm("/dashboards"), rt.bgro(), rt.boardGets)
 		pages.POST("/busi-group/:id/boards", rt.auth(), rt.user(), rt.perm("/dashboards/add"), rt.bgrw(), rt.boardAdd)
 		pages.POST("/busi-group/:id/board/:bid/clone", rt.auth(), rt.user(), rt.perm("/dashboards/add"), rt.bgrw(), rt.boardClone)
-		pages.POST("/busi-group/:id/boards/clones", rt.auth(), rt.user(), rt.perm("/dashboards/add"), rt.boardBatchClone)
+		pages.POST("/busi-groups/boards/clones", rt.auth(), rt.user(), rt.perm("/dashboards/add"), rt.boardBatchClone)
 
 		pages.GET("/board/:bid", rt.boardGet)
 		pages.GET("/board/:bid/pure", rt.boardPureGet)
@@ -285,8 +300,8 @@ func (rt *Router) Config(r *gin.Engine) {
 		pages.GET("/share-charts", rt.chartShareGets)
 		pages.POST("/share-charts", rt.auth(), rt.chartShareAdd)
 
-		pages.GET("/alert-rules/builtin/alerts-cates", rt.auth(), rt.user(), rt.builtinAlertCateGets)
-		pages.GET("/alert-rules/builtin/list", rt.auth(), rt.user(), rt.builtinAlertRules)
+		// pages.GET("/alert-rules/builtin/alerts-cates", rt.auth(), rt.user(), rt.builtinAlertCateGets)
+		// pages.GET("/alert-rules/builtin/list", rt.auth(), rt.user(), rt.builtinAlertRules)
 		pages.GET("/alert-rules/callbacks", rt.auth(), rt.user(), rt.alertRuleCallbacks)
 
 		pages.GET("/busi-groups/alert-rules", rt.auth(), rt.user(), rt.perm("/alert-rules"), rt.alertRuleGetsByGids)
@@ -327,15 +342,15 @@ func (rt *Router) Config(r *gin.Engine) {
 			pages.GET("/alert-cur-event/:eid", rt.alertCurEventGet)
 			pages.GET("/alert-his-event/:eid", rt.alertHisEventGet)
 		} else {
-			pages.GET("/alert-cur-event/:eid", rt.auth(), rt.alertCurEventGet)
-			pages.GET("/alert-his-event/:eid", rt.auth(), rt.alertHisEventGet)
+			pages.GET("/alert-cur-event/:eid", rt.auth(), rt.user(), rt.alertCurEventGet)
+			pages.GET("/alert-his-event/:eid", rt.auth(), rt.user(), rt.alertHisEventGet)
 		}
 
 		// card logic
-		pages.GET("/alert-cur-events/list", rt.auth(), rt.alertCurEventsList)
-		pages.GET("/alert-cur-events/card", rt.auth(), rt.alertCurEventsCard)
+		pages.GET("/alert-cur-events/list", rt.auth(), rt.user(), rt.alertCurEventsList)
+		pages.GET("/alert-cur-events/card", rt.auth(), rt.user(), rt.alertCurEventsCard)
 		pages.POST("/alert-cur-events/card/details", rt.auth(), rt.alertCurEventsCardDetails)
-		pages.GET("/alert-his-events/list", rt.auth(), rt.alertHisEventsList)
+		pages.GET("/alert-his-events/list", rt.auth(), rt.user(), rt.alertHisEventsList)
 		pages.DELETE("/alert-cur-events", rt.auth(), rt.user(), rt.perm("/alert-cur-events/del"), rt.alertCurEventDel)
 		pages.GET("/alert-cur-events/stats", rt.auth(), rt.alertCurEventsStatistics)
 
@@ -356,11 +371,9 @@ func (rt *Router) Config(r *gin.Engine) {
 		pages.GET("/busi-groups/tasks", rt.auth(), rt.user(), rt.perm("/job-tasks"), rt.taskGetsByGids)
 		pages.GET("/busi-group/:id/tasks", rt.auth(), rt.user(), rt.perm("/job-tasks"), rt.bgro(), rt.taskGets)
 		pages.POST("/busi-group/:id/tasks", rt.auth(), rt.user(), rt.perm("/job-tasks/add"), rt.bgrw(), rt.taskAdd)
-		pages.GET("/busi-group/:id/task/*url", rt.auth(), rt.user(), rt.perm("/job-tasks"), rt.taskProxy)
-		pages.PUT("/busi-group/:id/task/*url", rt.auth(), rt.user(), rt.perm("/job-tasks/put"), rt.bgrw(), rt.taskProxy)
 
-		pages.GET("/servers", rt.auth(), rt.admin(), rt.serversGet)
-		pages.GET("/server-clusters", rt.auth(), rt.admin(), rt.serverClustersGet)
+		pages.GET("/servers", rt.auth(), rt.user(), rt.perm("/help/servers"), rt.serversGet)
+		pages.GET("/server-clusters", rt.auth(), rt.user(), rt.perm("/help/servers"), rt.serverClustersGet)
 
 		pages.POST("/datasource/list", rt.auth(), rt.user(), rt.datasourceList)
 		pages.POST("/datasource/plugin/list", rt.auth(), rt.pluginList)
@@ -422,6 +435,17 @@ func (rt *Router) Config(r *gin.Engine) {
 		// for admin api
 		pages.GET("/user/busi-groups", rt.auth(), rt.admin(), rt.userBusiGroupsGets)
 
+		pages.GET("/builtin-components", rt.auth(), rt.user(), rt.builtinComponentsGets)
+		pages.POST("/builtin-components", rt.auth(), rt.user(), rt.perm("/built-in-components/add"), rt.builtinComponentsAdd)
+		pages.PUT("/builtin-components", rt.auth(), rt.user(), rt.perm("/built-in-components/put"), rt.builtinComponentsPut)
+		pages.DELETE("/builtin-components", rt.auth(), rt.user(), rt.perm("/built-in-components/del"), rt.builtinComponentsDel)
+
+		pages.GET("/builtin-payloads", rt.auth(), rt.user(), rt.builtinPayloadsGets)
+		pages.GET("/builtin-payloads/cates", rt.auth(), rt.user(), rt.builtinPayloadcatesGet)
+		pages.POST("/builtin-payloads", rt.auth(), rt.user(), rt.perm("/built-in-components/add"), rt.builtinPayloadsAdd)
+		pages.GET("/builtin-payload/:id", rt.auth(), rt.user(), rt.perm("/built-in-components"), rt.builtinPayloadGet)
+		pages.PUT("/builtin-payloads", rt.auth(), rt.user(), rt.perm("/built-in-components/put"), rt.builtinPayloadsPut)
+		pages.DELETE("/builtin-payloads", rt.auth(), rt.user(), rt.perm("/built-in-components/del"), rt.builtinPayloadsDel)
 	}
 
 	r.GET("/api/n9e/versions", func(c *gin.Context) {
@@ -455,10 +479,14 @@ func (rt *Router) Config(r *gin.Engine) {
 			service.GET("/user-group-members", rt.userGroupMemberGetsByService)
 
 			service.GET("/targets", rt.targetGetsByService)
+			service.GET("/target/extra-meta", rt.targetExtendInfoByIdent)
+			service.POST("/target/list", rt.targetGetsByHostFilter)
+			service.DELETE("/targets", rt.targetDelByService)
 			service.GET("/targets/tags", rt.targetGetTags)
 			service.POST("/targets/tags", rt.targetBindTagsByService)
 			service.DELETE("/targets/tags", rt.targetUnbindTagsByService)
 			service.PUT("/targets/note", rt.targetUpdateNoteByService)
+			service.PUT("/targets/bgid", rt.targetUpdateBgidByService)
 
 			service.POST("/alert-rules", rt.alertRuleAddByService)
 			service.POST("/alert-rule-add", rt.alertRuleAddOneByService)
@@ -488,6 +516,8 @@ func (rt *Router) Config(r *gin.Engine) {
 			service.GET("/alert-his-event/:eid", rt.alertHisEventGet)
 
 			service.GET("/task-tpl/:tid", rt.taskTplGetByService)
+			service.GET("/task-tpls", rt.taskTplGetsByService)
+			service.GET("/task-tpl/statistics", rt.taskTplStatistics)
 
 			service.GET("/config/:id", rt.configGet)
 			service.GET("/configs", rt.configsGet)

center/router/router_alert_cur_event.go

@@ -43,7 +43,6 @@ func (rt *Router) alertCurEventsCard(c *gin.Context) {
 	stime, etime := getTimeRange(c)
 	severity := ginx.QueryInt(c, "severity", -1)
 	query := ginx.QueryStr(c, "query", "")
-	busiGroupId := ginx.QueryInt64(c, "bgid", 0)
 	dsIds := queryDatasourceIds(c)
 	rules := parseAggrRules(c)
 
@@ -62,8 +61,11 @@ func (rt *Router) alertCurEventsCard(c *gin.Context) {
 		cates = strings.Split(cate, ",")
 	}
 
+	bgids, err := GetBusinessGroupIds(c, rt.Ctx, rt.Center.EventHistoryGroupView)
+	ginx.Dangerous(err)
+
 	// 最多获取50000个，获取太多也没啥意义
-	list, err := models.AlertCurEventGets(rt.Ctx, prods, busiGroupId, stime, etime, severity, dsIds, cates, query, 50000, 0)
+	list, err := models.AlertCurEventGets(rt.Ctx, prods, bgids, stime, etime, severity, dsIds, cates, query, 50000, 0)
 	ginx.Dangerous(err)
 
 	cardmap := make(map[string]*AlertCard)
@@ -142,7 +144,6 @@ func (rt *Router) alertCurEventsList(c *gin.Context) {
 	severity := ginx.QueryInt(c, "severity", -1)
 	query := ginx.QueryStr(c, "query", "")
 	limit := ginx.QueryInt(c, "limit", 20)
-	busiGroupId := ginx.QueryInt64(c, "bgid", 0)
 	dsIds := queryDatasourceIds(c)
 
 	prod := ginx.QueryStr(c, "prods", "")
@@ -161,10 +162,13 @@ func (rt *Router) alertCurEventsList(c *gin.Context) {
 		cates = strings.Split(cate, ",")
 	}
 
-	total, err := models.AlertCurEventTotal(rt.Ctx, prods, busiGroupId, stime, etime, severity, dsIds, cates, query)
+	bgids, err := GetBusinessGroupIds(c, rt.Ctx, rt.Center.EventHistoryGroupView)
 	ginx.Dangerous(err)
 
-	list, err := models.AlertCurEventGets(rt.Ctx, prods, busiGroupId, stime, etime, severity, dsIds, cates, query, limit, ginx.Offset(c, limit))
+	total, err := models.AlertCurEventTotal(rt.Ctx, prods, bgids, stime, etime, severity, dsIds, cates, query)
+	ginx.Dangerous(err)
+
+	list, err := models.AlertCurEventGets(rt.Ctx, prods, bgids, stime, etime, severity, dsIds, cates, query, limit, ginx.Offset(c, limit))
 	ginx.Dangerous(err)
 
 	cache := make(map[int64]*models.UserGroup)
@@ -214,6 +218,10 @@ func (rt *Router) alertCurEventGet(c *gin.Context) {
 		ginx.Bomb(404, "No such active event")
 	}
 
+	if !rt.Center.AnonymousAccess.AlertDetail && rt.Center.EventHistoryGroupView {
+		rt.bgroCheck(c, event.GroupId)
+	}
+
 	ginx.NewRender(c).Data(event, nil)
 }
 

center/router/router_alert_his_event.go

@@ -1,13 +1,16 @@
 package router
 
 import (
+	"fmt"
 	"strings"
 	"time"
 
 	"github.com/ccfos/nightingale/v6/models"
+	"github.com/ccfos/nightingale/v6/pkg/ctx"
 
 	"github.com/gin-gonic/gin"
 	"github.com/toolkits/pkg/ginx"
+	"golang.org/x/exp/slices"
 )
 
 func getTimeRange(c *gin.Context) (stime, etime int64) {
@@ -33,7 +36,6 @@ func (rt *Router) alertHisEventsList(c *gin.Context) {
 	recovered := ginx.QueryInt(c, "is_recovered", -1)
 	query := ginx.QueryStr(c, "query", "")
 	limit := ginx.QueryInt(c, "limit", 20)
-	busiGroupId := ginx.QueryInt64(c, "bgid", 0)
 	dsIds := queryDatasourceIds(c)
 
 	prod := ginx.QueryStr(c, "prods", "")
@@ -52,10 +54,13 @@ func (rt *Router) alertHisEventsList(c *gin.Context) {
 		cates = strings.Split(cate, ",")
 	}
 
-	total, err := models.AlertHisEventTotal(rt.Ctx, prods, busiGroupId, stime, etime, severity, recovered, dsIds, cates, query)
+	bgids, err := GetBusinessGroupIds(c, rt.Ctx, rt.Center.EventHistoryGroupView)
 	ginx.Dangerous(err)
 
-	list, err := models.AlertHisEventGets(rt.Ctx, prods, busiGroupId, stime, etime, severity, recovered, dsIds, cates, query, limit, ginx.Offset(c, limit))
+	total, err := models.AlertHisEventTotal(rt.Ctx, prods, bgids, stime, etime, severity, recovered, dsIds, cates, query)
+	ginx.Dangerous(err)
+
+	list, err := models.AlertHisEventGets(rt.Ctx, prods, bgids, stime, etime, severity, recovered, dsIds, cates, query, limit, ginx.Offset(c, limit))
 	ginx.Dangerous(err)
 
 	cache := make(map[int64]*models.UserGroup)
@@ -78,5 +83,43 @@ func (rt *Router) alertHisEventGet(c *gin.Context) {
 		ginx.Bomb(404, "No such alert event")
 	}
 
+	if !rt.Center.AnonymousAccess.AlertDetail && rt.Center.EventHistoryGroupView {
+		rt.bgroCheck(c, event.GroupId)
+	}
+
 	ginx.NewRender(c).Data(event, err)
 }
+
+func GetBusinessGroupIds(c *gin.Context, ctx *ctx.Context, eventHistoryGroupView bool) ([]int64, error) {
+	bgid := ginx.QueryInt64(c, "bgid", 0)
+	var bgids []int64
+	user := c.MustGet("user").(*models.User)
+
+	if !eventHistoryGroupView || user.IsAdmin() {
+		if bgid > 0 {
+			return []int64{bgid}, nil
+		}
+		return bgids, nil
+	}
+
+	bussGroupIds, err := models.MyBusiGroupIds(ctx, user.Id)
+	if err != nil {
+		return nil, err
+	}
+
+	if len(bussGroupIds) == 0 {
+		// 如果没查到用户属于任何业务组，需要返回一个0，否则会导致查询到全部告警历史
+		return []int64{0}, nil
+	}
+
+	if bgid > 0 && !slices.Contains(bussGroupIds, bgid) {
+		return nil, fmt.Errorf("business group ID not allowed")
+	}
+
+	if bgid > 0 {
+		// Pass filter parameters, priority to use
+		return []int64{bgid}, nil
+	}
+
+	return bussGroupIds, nil
+}

center/router/router_alert_rule.go

@@ -40,6 +40,11 @@ func (rt *Router) alertRuleGetsByGids(c *gin.Context) {
 			var err error
 			gids, err = models.MyBusiGroupIds(rt.Ctx, me.Id)
 			ginx.Dangerous(err)
+
+			if len(gids) == 0 {
+				ginx.Bomb(http.StatusForbidden, "forbidden")
+				return
+			}
 		}
 	}
 

center/router/router_alert_subscribe.go

@@ -42,6 +42,11 @@ func (rt *Router) alertSubscribeGetsByGids(c *gin.Context) {
 			var err error
 			gids, err = models.MyBusiGroupIds(rt.Ctx, me.Id)
 			ginx.Dangerous(err)
+
+			if len(gids) == 0 {
+				ginx.Bomb(http.StatusForbidden, "forbidden")
+				return
+			}
 		}
 	}
 

center/router/router_board.go

@@ -1,6 +1,7 @@
 package router
 
 import (
+	"fmt"
 	"net/http"
 	"time"
 
@@ -269,6 +270,11 @@ func (rt *Router) boardGetsByGids(c *gin.Context) {
 			var err error
 			gids, err = models.MyBusiGroupIds(rt.Ctx, me.Id)
 			ginx.Dangerous(err)
+
+			if len(gids) == 0 {
+				ginx.Bomb(http.StatusForbidden, "forbidden")
+				return
+			}
 		}
 	}
 
@@ -294,7 +300,7 @@ func (rt *Router) boardClone(c *gin.Context) {
 	me := c.MustGet("user").(*models.User)
 	bo := rt.Board(ginx.UrlParamInt64(c, "bid"))
 
-	newBoard := bo.Clone(me.Username, bo.GroupId)
+	newBoard := bo.Clone(me.Username, bo.GroupId, " Cloned")
 
 	ginx.Dangerous(newBoard.Add(rt.Ctx))
 
@@ -311,32 +317,34 @@ func (rt *Router) boardClone(c *gin.Context) {
 
 type boardsForm struct {
 	BoardIds []int64 `json:"board_ids"`
+	Bgids    []int64 `json:"bgids"`
 }
 
 func (rt *Router) boardBatchClone(c *gin.Context) {
 	me := c.MustGet("user").(*models.User)
-	bgid := ginx.UrlParamInt64(c, "id")
-	rt.bgrwCheck(c, bgid)
-
 	var f boardsForm
 	ginx.BindJSON(c, &f)
 
+	for _, bgid := range f.Bgids {
+		rt.bgrwCheck(c, bgid)
+	}
+
 	reterr := make(map[string]string, len(f.BoardIds))
 	lang := c.GetHeader("X-Language")
-	for _, bid := range f.BoardIds {
-		bo := rt.Board(bid)
 
-		newBoard := bo.Clone(me.Username, bgid)
-		payload, err := models.BoardPayloadGet(rt.Ctx, bo.Id)
-		if err != nil {
-			reterr[newBoard.Name] = i18n.Sprintf(lang, err.Error())
-			continue
-		}
+	for _, bgid := range f.Bgids {
+		for _, bid := range f.BoardIds {
+			bo := rt.Board(bid)
+			newBoard := bo.Clone(me.Username, bgid, "")
+			payload, err := models.BoardPayloadGet(rt.Ctx, bo.Id)
+			if err != nil {
+				reterr[fmt.Sprintf("%s-%d", newBoard.Name, bgid)] = i18n.Sprintf(lang, err.Error())
+				continue
+			}
 
-		if err = newBoard.AtomicAdd(rt.Ctx, payload); err != nil {
-			reterr[newBoard.Name] = i18n.Sprintf(lang, err.Error())
-		} else {
-			reterr[newBoard.Name] = ""
+			if err = newBoard.AtomicAdd(rt.Ctx, payload); err != nil {
+				reterr[fmt.Sprintf("%s-%d", newBoard.Name, bgid)] = i18n.Sprintf(lang, err.Error())
+			}
 		}
 	}
 

center/router/router_builtin_componet.go

@@ -0,0 +1,66 @@
+package router
+
+import (
+	"net/http"
+
+	"github.com/ccfos/nightingale/v6/models"
+	"github.com/gin-gonic/gin"
+	"github.com/toolkits/pkg/ginx"
+)
+
+func (rt *Router) builtinComponentsAdd(c *gin.Context) {
+	var lst []models.BuiltinComponent
+	ginx.BindJSON(c, &lst)
+
+	username := Username(c)
+
+	count := len(lst)
+	if count == 0 {
+		ginx.Bomb(http.StatusBadRequest, "input json is empty")
+	}
+
+	reterr := make(map[string]string)
+	for i := 0; i < count; i++ {
+		if err := lst[i].Add(rt.Ctx, username); err != nil {
+			reterr[lst[i].Ident] = err.Error()
+		}
+	}
+
+	ginx.NewRender(c).Data(reterr, nil)
+}
+
+func (rt *Router) builtinComponentsGets(c *gin.Context) {
+	query := ginx.QueryStr(c, "query", "")
+
+	bc, err := models.BuiltinComponentGets(rt.Ctx, query)
+	ginx.Dangerous(err)
+
+	ginx.NewRender(c).Data(bc, nil)
+}
+
+func (rt *Router) builtinComponentsPut(c *gin.Context) {
+	var req models.BuiltinComponent
+	ginx.BindJSON(c, &req)
+
+	bc, err := models.BuiltinComponentGet(rt.Ctx, "id = ?", req.ID)
+	ginx.Dangerous(err)
+
+	if bc == nil {
+		ginx.NewRender(c, http.StatusNotFound).Message("No such builtin component")
+		return
+	}
+
+	username := Username(c)
+	req.UpdatedBy = username
+
+	ginx.NewRender(c).Message(bc.Update(rt.Ctx, req))
+}
+
+func (rt *Router) builtinComponentsDel(c *gin.Context) {
+	var req idsForm
+	ginx.BindJSON(c, &req)
+
+	req.Verify()
+
+	ginx.NewRender(c).Message(models.BuiltinComponentDels(rt.Ctx, req.Ids))
+}

center/router/router_builtin_metric_filter.go

@@ -0,0 +1,120 @@
+package router
+
+import (
+	"github.com/ccfos/nightingale/v6/models"
+	"github.com/ccfos/nightingale/v6/pkg/prom"
+	"github.com/gin-gonic/gin"
+	"github.com/toolkits/pkg/ginx"
+)
+
+func (rt *Router) metricFilterGets(c *gin.Context) {
+	lst, err := models.MetricFilterGets(rt.Ctx, "")
+	ginx.Dangerous(err)
+	me := c.MustGet("user").(*models.User)
+
+	gids, err := models.MyGroupIds(rt.Ctx, me.Id)
+	ginx.Dangerous(err)
+	arr := make([]models.MetricFilter, 0)
+
+	for _, f := range lst {
+		if me.Username == f.CreateBy {
+			arr = append(arr, f)
+			continue
+		}
+
+		if HasPerm(gids, f.GroupsPerm, false) {
+			arr = append(arr, f)
+		}
+	}
+
+	ginx.NewRender(c).Data(arr, err)
+}
+
+func (rt *Router) metricFilterAdd(c *gin.Context) {
+	var f models.MetricFilter
+	ginx.BindJSON(c, &f)
+	me := c.MustGet("user").(*models.User)
+
+	f.CreateBy = me.Username
+	f.UpdateBy = me.Username
+	ginx.Dangerous(f.Add(rt.Ctx))
+	ginx.NewRender(c).Data(f, nil)
+}
+
+func (rt *Router) metricFilterDel(c *gin.Context) {
+	var f idsForm
+	ginx.BindJSON(c, &f)
+	f.Verify()
+
+	me := c.MustGet("user").(*models.User)
+
+	for _, id := range f.Ids {
+		old, err := models.MetricFilterGet(rt.Ctx, id)
+		ginx.Dangerous(err)
+
+		if me.Username != old.CreateBy {
+			gids, err := models.MyGroupIds(rt.Ctx, me.Id)
+			ginx.Dangerous(err)
+
+			if !HasPerm(gids, old.GroupsPerm, true) {
+				ginx.NewRender(c).Message("no permission")
+				return
+			}
+		}
+	}
+
+	ginx.NewRender(c).Message(models.MetricFilterDel(rt.Ctx, f.Ids))
+}
+
+func (rt *Router) metricFilterPut(c *gin.Context) {
+	var f models.MetricFilter
+	ginx.BindJSON(c, &f)
+
+	me := c.MustGet("user").(*models.User)
+	old, err := models.MetricFilterGet(rt.Ctx, f.ID)
+	ginx.Dangerous(err)
+
+	if me.Username != old.CreateBy {
+		gids, err := models.MyGroupIds(rt.Ctx, me.Id)
+		ginx.Dangerous(err)
+
+		if !HasPerm(gids, old.GroupsPerm, true) {
+			ginx.NewRender(c).Message("no permission")
+			return
+		}
+	}
+
+	f.UpdateBy = me.Username
+	ginx.NewRender(c).Message(f.Update(rt.Ctx))
+}
+
+type metricPromqlReq struct {
+	LabelFilter string `json:"label_filter"`
+	Promql      string `json:"promql"`
+}
+
+func (rt *Router) getMetricPromql(c *gin.Context) {
+	var req metricPromqlReq
+	ginx.BindJSON(c, &req)
+
+	promql := prom.AddLabelToPromQL(req.LabelFilter, req.Promql)
+	ginx.NewRender(c).Data(promql, nil)
+}
+
+func HasPerm(gids []int64, gps []models.GroupPerm, checkWrite bool) bool {
+	gmap := make(map[int64]struct{})
+	for _, gp := range gps {
+		if checkWrite && !gp.Write {
+			continue
+		}
+		gmap[gp.Gid] = struct{}{}
+	}
+
+	for _, gid := range gids {
+		if _, ok := gmap[gid]; ok {
+			return true
+		}
+	}
+
+	return false
+}

center/router/router_builtin_metrics.go

@@ -0,0 +1,115 @@
+package router
+
+import (
+	"net/http"
+	"time"
+
+	"github.com/ccfos/nightingale/v6/models"
+
+	"github.com/gin-gonic/gin"
+	"github.com/toolkits/pkg/ginx"
+)
+
+// single or import
+func (rt *Router) builtinMetricsAdd(c *gin.Context) {
+	var lst []models.BuiltinMetric
+	ginx.BindJSON(c, &lst)
+	username := Username(c)
+	count := len(lst)
+	if count == 0 {
+		ginx.Bomb(http.StatusBadRequest, "input json is empty")
+	}
+
+	lang := c.GetHeader("X-Language")
+	if lang == "" {
+		lang = "zh_CN"
+	}
+
+	reterr := make(map[string]string)
+	for i := 0; i < count; i++ {
+		lst[i].Lang = lang
+		lst[i].UUID = time.Now().UnixNano()
+		if err := lst[i].Add(rt.Ctx, username); err != nil {
+			reterr[lst[i].Name] = err.Error()
+		}
+	}
+	ginx.NewRender(c).Data(reterr, nil)
+}
+
+func (rt *Router) builtinMetricsGets(c *gin.Context) {
+	collector := ginx.QueryStr(c, "collector", "")
+	typ := ginx.QueryStr(c, "typ", "")
+	query := ginx.QueryStr(c, "query", "")
+	limit := ginx.QueryInt(c, "limit", 20)
+	lang := c.GetHeader("X-Language")
+	unit := ginx.QueryStr(c, "unit", "")
+	if lang == "" {
+		lang = "zh_CN"
+	}
+
+	bm, err := models.BuiltinMetricGets(rt.Ctx, lang, collector, typ, query, unit, limit, ginx.Offset(c, limit))
+	ginx.Dangerous(err)
+
+	total, err := models.BuiltinMetricCount(rt.Ctx, lang, collector, typ, query, unit)
+	ginx.Dangerous(err)
+	ginx.NewRender(c).Data(gin.H{
+		"list":  bm,
+		"total": total,
+	}, nil)
+}
+
+func (rt *Router) builtinMetricsPut(c *gin.Context) {
+	var req models.BuiltinMetric
+	ginx.BindJSON(c, &req)
+
+	bm, err := models.BuiltinMetricGet(rt.Ctx, "id = ?", req.ID)
+	ginx.Dangerous(err)
+	if bm == nil {
+		ginx.NewRender(c, http.StatusNotFound).Message("No such builtin metric")
+		return
+	}
+	username := Username(c)
+
+	req.UpdatedBy = username
+	ginx.NewRender(c).Message(bm.Update(rt.Ctx, req))
+}
+
+func (rt *Router) builtinMetricsDel(c *gin.Context) {
+	var req idsForm
+	ginx.BindJSON(c, &req)
+	req.Verify()
+
+	ginx.NewRender(c).Message(models.BuiltinMetricDels(rt.Ctx, req.Ids))
+}
+
+func (rt *Router) builtinMetricsDefaultTypes(c *gin.Context) {
+	lst := []string{
+		"Linux",
+		"cAdvisor",
+		"Ping",
+		"MySQL",
+		"Redis",
+		"Kafka",
+		"Elasticsearch",
+		"PostgreSQL",
+		"MongoDB",
+		"Memcached",
+	}
+	ginx.NewRender(c).Data(lst, nil)
+}
+
+func (rt *Router) builtinMetricsTypes(c *gin.Context) {
+	collector := ginx.QueryStr(c, "collector", "")
+	query := ginx.QueryStr(c, "query", "")
+	lang := c.GetHeader("X-Language")
+
+	ginx.NewRender(c).Data(models.BuiltinMetricTypes(rt.Ctx, lang, collector, query))
+}
+
+func (rt *Router) builtinMetricsCollectors(c *gin.Context) {
+	typ := ginx.QueryStr(c, "typ", "")
+	query := ginx.QueryStr(c, "query", "")
+	lang := c.GetHeader("X-Language")
+
+	ginx.NewRender(c).Data(models.BuiltinMetricCollectors(rt.Ctx, lang, typ, query))
+}

center/router/router_builtin_payload.go

@@ -0,0 +1,246 @@
+package router
+
+import (
+	"encoding/json"
+	"net/http"
+	"strings"
+	"time"
+
+	"github.com/ccfos/nightingale/v6/models"
+	"github.com/gin-gonic/gin"
+	"github.com/toolkits/pkg/ginx"
+)
+
+type Board struct {
+	Name    string      `json:"name"`
+	Tags    string      `json:"tags"`
+	Configs interface{} `json:"configs"`
+	UUID    int64       `json:"uuid"`
+}
+
+func (rt *Router) builtinPayloadsAdd(c *gin.Context) {
+	var lst []models.BuiltinPayload
+	ginx.BindJSON(c, &lst)
+
+	username := Username(c)
+
+	count := len(lst)
+	if count == 0 {
+		ginx.Bomb(http.StatusBadRequest, "input json is empty")
+	}
+
+	reterr := make(map[string]string)
+	for i := 0; i < count; i++ {
+		if lst[i].Type == "alert" {
+			if strings.HasPrefix(strings.TrimSpace(lst[i].Content), "[") {
+				// 处理多个告警规则模板的情况
+				alertRules := []models.AlertRule{}
+				if err := json.Unmarshal([]byte(lst[i].Content), &alertRules); err != nil {
+					reterr[lst[i].Name] = err.Error()
+				}
+
+				for _, rule := range alertRules {
+					if rule.UUID == 0 {
+						rule.UUID = time.Now().UnixNano()
+					}
+
+					contentBytes, err := json.Marshal(rule)
+					if err != nil {
+						reterr[rule.Name] = err.Error()
+						continue
+					}
+
+					bp := models.BuiltinPayload{
+						Type:      lst[i].Type,
+						Component: lst[i].Component,
+						Cate:      lst[i].Cate,
+						Name:      rule.Name,
+						Tags:      rule.AppendTags,
+						UUID:      rule.UUID,
+						Content:   string(contentBytes),
+						CreatedBy: username,
+						UpdatedBy: username,
+					}
+
+					if err := bp.Add(rt.Ctx, username); err != nil {
+						reterr[bp.Name] = err.Error()
+					}
+				}
+				continue
+			}
+
+			alertRule := models.AlertRule{}
+			if err := json.Unmarshal([]byte(lst[i].Content), &alertRule); err != nil {
+				reterr[lst[i].Name] = err.Error()
+				continue
+			}
+
+			if alertRule.UUID == 0 {
+				alertRule.UUID = time.Now().UnixNano()
+			}
+
+			bp := models.BuiltinPayload{
+				Type:      lst[i].Type,
+				Component: lst[i].Component,
+				Cate:      lst[i].Cate,
+				Name:      alertRule.Name,
+				Tags:      alertRule.AppendTags,
+				UUID:      alertRule.UUID,
+				Content:   lst[i].Content,
+				CreatedBy: username,
+				UpdatedBy: username,
+			}
+
+			if err := bp.Add(rt.Ctx, username); err != nil {
+				reterr[bp.Name] = err.Error()
+			}
+		} else if lst[i].Type == "dashboard" {
+			if strings.HasPrefix(strings.TrimSpace(lst[i].Content), "[") {
+				// 处理多个告警规则模板的情况
+				dashboards := []Board{}
+				if err := json.Unmarshal([]byte(lst[i].Content), &dashboards); err != nil {
+					reterr[lst[i].Name] = err.Error()
+				}
+
+				for _, dashboard := range dashboards {
+					if dashboard.UUID == 0 {
+						dashboard.UUID = time.Now().UnixNano()
+					}
+
+					contentBytes, err := json.Marshal(dashboard)
+					if err != nil {
+						reterr[dashboard.Name] = err.Error()
+						continue
+					}
+
+					bp := models.BuiltinPayload{
+						Type:      lst[i].Type,
+						Component: lst[i].Component,
+						Cate:      lst[i].Cate,
+						Name:      dashboard.Name,
+						Tags:      dashboard.Tags,
+						UUID:      dashboard.UUID,
+						Content:   string(contentBytes),
+						CreatedBy: username,
+						UpdatedBy: username,
+					}
+
+					if err := bp.Add(rt.Ctx, username); err != nil {
+						reterr[bp.Name] = err.Error()
+					}
+				}
+				continue
+			}
+
+			dashboard := Board{}
+			if err := json.Unmarshal([]byte(lst[i].Content), &dashboard); err != nil {
+				reterr[lst[i].Name] = err.Error()
+				continue
+			}
+
+			if dashboard.UUID == 0 {
+				dashboard.UUID = time.Now().UnixNano()
+			}
+
+			bp := models.BuiltinPayload{
+				Type:      lst[i].Type,
+				Component: lst[i].Component,
+				Cate:      lst[i].Cate,
+				Name:      dashboard.Name,
+				Tags:      dashboard.Tags,
+				UUID:      dashboard.UUID,
+				Content:   lst[i].Content,
+				CreatedBy: username,
+				UpdatedBy: username,
+			}
+
+			if err := bp.Add(rt.Ctx, username); err != nil {
+				reterr[bp.Name] = err.Error()
+			}
+		} else {
+			if err := lst[i].Add(rt.Ctx, username); err != nil {
+				reterr[lst[i].Name] = err.Error()
+			}
+		}
+
+	}
+
+	ginx.NewRender(c).Data(reterr, nil)
+}
+
+func (rt *Router) builtinPayloadsGets(c *gin.Context) {
+	typ := ginx.QueryStr(c, "type", "")
+	component := ginx.QueryStr(c, "component", "")
+	cate := ginx.QueryStr(c, "cate", "")
+	query := ginx.QueryStr(c, "query", "")
+
+	lst, err := models.BuiltinPayloadGets(rt.Ctx, typ, component, cate, query)
+	ginx.NewRender(c).Data(lst, err)
+}
+
+func (rt *Router) builtinPayloadcatesGet(c *gin.Context) {
+	typ := ginx.QueryStr(c, "type", "")
+	component := ginx.QueryStr(c, "component", "")
+
+	cates, err := models.BuiltinPayloadCates(rt.Ctx, typ, component)
+	ginx.NewRender(c).Data(cates, err)
+}
+
+func (rt *Router) builtinPayloadGet(c *gin.Context) {
+	id := ginx.UrlParamInt64(c, "id")
+
+	bp, err := models.BuiltinPayloadGet(rt.Ctx, "id = ?", id)
+	if err != nil {
+		ginx.Bomb(http.StatusInternalServerError, err.Error())
+	}
+	if bp == nil {
+		ginx.Bomb(http.StatusNotFound, "builtin payload not found")
+	}
+
+	ginx.NewRender(c).Data(bp, nil)
+}
+
+func (rt *Router) builtinPayloadsPut(c *gin.Context) {
+	var req models.BuiltinPayload
+	ginx.BindJSON(c, &req)
+
+	bp, err := models.BuiltinPayloadGet(rt.Ctx, "id = ?", req.ID)
+	ginx.Dangerous(err)
+
+	if bp == nil {
+		ginx.NewRender(c, http.StatusNotFound).Message("No such builtin payload")
+		return
+	}
+
+	if req.Type == "alert" {
+		alertRule := models.AlertRule{}
+		if err := json.Unmarshal([]byte(req.Content), &alertRule); err != nil {
+			ginx.Bomb(http.StatusBadRequest, err.Error())
+		}
+
+		req.Name = alertRule.Name
+		req.Tags = alertRule.AppendTags
+	} else if req.Type == "dashboard" {
+		dashboard := Board{}
+		if err := json.Unmarshal([]byte(req.Content), &dashboard); err != nil {
+			ginx.Bomb(http.StatusBadRequest, err.Error())
+		}
+
+		req.Name = dashboard.Name
+		req.Tags = dashboard.Tags
+	}
+
+	username := Username(c)
+	req.UpdatedBy = username
+
+	ginx.NewRender(c).Message(bp.Update(rt.Ctx, req))
+}
+
+func (rt *Router) builtinPayloadsDel(c *gin.Context) {
+	var req idsForm
+	ginx.BindJSON(c, &req)
+
+	req.Verify()
+
+	ginx.NewRender(c).Message(models.BuiltinPayloadDels(rt.Ctx, req.Ids))
+}

center/router/router_funcs.go

@@ -1,17 +1,14 @@
 package router
 
 import (
-	"fmt"
 	"net/http"
 	"strconv"
 	"strings"
 
-	"github.com/ccfos/nightingale/v6/alert/aconf"
 	"github.com/ccfos/nightingale/v6/models"
 	"github.com/ccfos/nightingale/v6/pkg/ctx"
-	"github.com/ccfos/nightingale/v6/pkg/ibex"
-	"github.com/gin-gonic/gin"
 
+	"github.com/gin-gonic/gin"
 	"github.com/toolkits/pkg/ginx"
 )
 
@@ -135,31 +132,6 @@ type TaskCreateReply struct {
 	Dat int64  `json:"dat"` // task.id
 }
 
-// return task.id, error
-func TaskCreate(v interface{}, ibexc aconf.Ibex) (int64, error) {
-	var res TaskCreateReply
-	err := ibex.New(
-		ibexc.Address,
-		ibexc.BasicAuthUser,
-		ibexc.BasicAuthPass,
-		ibexc.Timeout,
-	).
-		Path("/ibex/v1/tasks").
-		In(v).
-		Out(&res).
-		POST()
-
-	if err != nil {
-		return 0, err
-	}
-
-	if res.Err != "" {
-		return 0, fmt.Errorf("response.err: %v", res.Err)
-	}
-
-	return res.Dat, nil
-}
-
 func Username(c *gin.Context) string {
 	username := c.GetString(gin.AuthUserKey)
 	if username == "" {

center/router/router_login.go

@@ -92,7 +92,7 @@ func (rt *Router) loginPost(c *gin.Context) {
 }
 
 func (rt *Router) logoutPost(c *gin.Context) {
-	logger.Infof("username:%s login from:%s", c.GetString("username"), c.ClientIP())
+	logger.Infof("username:%s logout from:%s", c.GetString("username"), c.ClientIP())
 	metadata, err := rt.extractTokenMetadata(c.Request)
 	if err != nil {
 		ginx.NewRender(c, http.StatusBadRequest).Message("failed to parse jwt token")

center/router/router_mute.go

@@ -33,6 +33,11 @@ func (rt *Router) alertMuteGetsByGids(c *gin.Context) {
 			var err error
 			gids, err = models.MyBusiGroupIds(rt.Ctx, me.Id)
 			ginx.Dangerous(err)
+
+			if len(gids) == 0 {
+				ginx.Bomb(http.StatusForbidden, "forbidden")
+				return
+			}
 		}
 	}
 
@@ -101,7 +106,7 @@ func (rt *Router) alertMuteDel(c *gin.Context) {
 	ginx.NewRender(c).Message(models.AlertMuteDel(rt.Ctx, f.Ids))
 }
 
-// alertMuteGetById returns the alert mute by ID
+// alertMuteGet returns the alert mute by ID
 func (rt *Router) alertMuteGet(c *gin.Context) {
 	amid := ginx.UrlParamInt64(c, "amid")
 	am, err := models.AlertMuteGetById(rt.Ctx, amid)

center/router/router_mw.go

@@ -92,6 +92,10 @@ func (rt *Router) jwtAuth() gin.HandlerFunc {
 	}
 }
 
+func (rt *Router) Auth() gin.HandlerFunc {
+	return rt.auth()
+}
+
 func (rt *Router) auth() gin.HandlerFunc {
 	if rt.HTTP.ProxyAuth.Enable {
 		return rt.proxyAuth()
@@ -120,6 +124,10 @@ func (rt *Router) jwtMock() gin.HandlerFunc {
 	}
 }
 
+func (rt *Router) User() gin.HandlerFunc {
+	return rt.user()
+}
+
 func (rt *Router) user() gin.HandlerFunc {
 	return func(c *gin.Context) {
 		userid := c.MustGet("userid").(int64)
@@ -135,6 +143,8 @@ func (rt *Router) user() gin.HandlerFunc {
 
 		c.Set("user", user)
 		c.Set("isadmin", user.IsAdmin())
+		// Update user.LastActiveTime
+		rt.UserCache.SetLastActiveTime(user.Id, time.Now().Unix())
 		c.Next()
 	}
 }
@@ -174,6 +184,10 @@ func (rt *Router) bgro() gin.HandlerFunc {
 }
 
 // bgrw 逐步要被干掉，不安全
+func (rt *Router) Bgrw() gin.HandlerFunc {
+	return rt.bgrw()
+}
+
 func (rt *Router) bgrw() gin.HandlerFunc {
 	return func(c *gin.Context) {
 		me := c.MustGet("user").(*models.User)
@@ -233,6 +247,10 @@ func (rt *Router) bgroCheck(c *gin.Context, bgid int64) {
 	c.Set("busi_group", bg)
 }
 
+func (rt *Router) Perm(operation string) gin.HandlerFunc {
+	return rt.perm(operation)
+}
+
 func (rt *Router) perm(operation string) gin.HandlerFunc {
 	return func(c *gin.Context) {
 		me := c.MustGet("user").(*models.User)

center/router/router_notify_config.go

@@ -169,10 +169,6 @@ func (rt *Router) notifyConfigPut(c *gin.Context) {
 		var smtp aconf.SMTPConfig
 		err := toml.Unmarshal([]byte(text), &smtp)
 		ginx.Dangerous(err)
-	case models.IBEX:
-		var ibex aconf.Ibex
-		err := toml.Unmarshal([]byte(f.Cval), &ibex)
-		ginx.Dangerous(err)
 	default:
 		ginx.Bomb(200, "key %s can not modify", f.Ckey)
 	}

center/router/router_recording_rule.go

@@ -32,6 +32,11 @@ func (rt *Router) recordingRuleGetsByGids(c *gin.Context) {
 			var err error
 			gids, err = models.MyBusiGroupIds(rt.Ctx, me.Id)
 			ginx.Dangerous(err)
+
+			if len(gids) == 0 {
+				ginx.Bomb(http.StatusForbidden, "forbidden")
+				return
+			}
 		}
 	}
 

center/router/router_self.go

@@ -2,8 +2,8 @@ package router
 
 import (
 	"github.com/ccfos/nightingale/v6/models"
+	"github.com/ccfos/nightingale/v6/pkg/flashduty"
 	"github.com/ccfos/nightingale/v6/pkg/ormx"
-	"github.com/ccfos/nightingale/v6/pkg/secu"
 
 	"github.com/gin-gonic/gin"
 	"github.com/toolkits/pkg/ginx"
@@ -30,6 +30,11 @@ func (rt *Router) selfProfilePut(c *gin.Context) {
 	ginx.BindJSON(c, &f)
 
 	user := c.MustGet("user").(*models.User)
+	oldInfo := models.User{
+		Username: user.Username,
+		Phone:    user.Phone,
+		Email:    user.Email,
+	}
 	user.Nickname = f.Nickname
 	user.Phone = f.Phone
 	user.Email = f.Email
@@ -37,6 +42,10 @@ func (rt *Router) selfProfilePut(c *gin.Context) {
 	user.Contacts = f.Contacts
 	user.UpdateBy = user.Username
 
+	if flashduty.NeedSyncUser(rt.Ctx) {
+		flashduty.UpdateUser(rt.Ctx, oldInfo, f.Email, f.Phone)
+	}
+
 	ginx.NewRender(c).Message(user.UpdateAllFields(rt.Ctx))
 }
 
@@ -49,9 +58,5 @@ func (rt *Router) selfPasswordPut(c *gin.Context) {
 	var f selfPasswordForm
 	ginx.BindJSON(c, &f)
 	user := c.MustGet("user").(*models.User)
-	decodeOP, err := secu.Decrypt(f.OldPass, rt.HTTP.RSA.RSAPrivateKey, rt.HTTP.RSA.RSAPassWord)
-	ginx.Dangerous(err)
-	decodeNP, err := secu.Decrypt(f.NewPass, rt.HTTP.RSA.RSAPrivateKey, rt.HTTP.RSA.RSAPassWord)
-	ginx.Dangerous(err)
-	ginx.NewRender(c).Message(user.ChangePassword(rt.Ctx, decodeOP, decodeNP))
+	ginx.NewRender(c).Message(user.ChangePassword(rt.Ctx, f.OldPass, f.NewPass))
 }

center/router/router_target.go

@@ -153,173 +153,242 @@ func (rt *Router) targetGetTags(c *gin.Context) {
 }
 
 type targetTagsForm struct {
-	Idents []string `json:"idents" binding:"required"`
-	Tags   []string `json:"tags" binding:"required"`
+	Idents  []string `json:"idents" binding:"required_without=HostIps"`
+	HostIps []string `json:"host_ips" binding:"required_without=Idents"`
+	Tags    []string `json:"tags" binding:"required"`
 }
 
 func (rt *Router) targetBindTagsByFE(c *gin.Context) {
 	var f targetTagsForm
+	var err error
+	var failedResults = make(map[string]string)
 	ginx.BindJSON(c, &f)
 
-	if len(f.Idents) == 0 {
-		ginx.Bomb(http.StatusBadRequest, "idents empty")
+	if len(f.Idents) == 0 && len(f.HostIps) == 0 {
+		ginx.Bomb(http.StatusBadRequest, "idents or host_ips must be provided")
+	}
+	// Acquire idents by idents and hostIps
+	failedResults, f.Idents, err = models.TargetsGetIdentsByIdentsAndHostIps(rt.Ctx, f.Idents, f.HostIps)
+	if err != nil {
+		ginx.Bomb(http.StatusBadRequest, err.Error())
 	}
 
 	rt.checkTargetPerm(c, f.Idents)
 
-	ginx.NewRender(c).Message(rt.targetBindTags(f))
+	ginx.NewRender(c).Data(rt.targetBindTags(f, failedResults))
 }
 
 func (rt *Router) targetBindTagsByService(c *gin.Context) {
 	var f targetTagsForm
+	var err error
+	var failedResults = make(map[string]string)
 	ginx.BindJSON(c, &f)
 
-	if len(f.Idents) == 0 {
-		ginx.Bomb(http.StatusBadRequest, "idents empty")
+	if len(f.Idents) == 0 && len(f.HostIps) == 0 {
+		ginx.Bomb(http.StatusBadRequest, "idents or host_ips must be provided")
+	}
+	// Acquire idents by idents and hostIps
+	failedResults, f.Idents, err = models.TargetsGetIdentsByIdentsAndHostIps(rt.Ctx, f.Idents, f.HostIps)
+	if err != nil {
+		ginx.Bomb(http.StatusBadRequest, err.Error())
 	}
 
-	ginx.NewRender(c).Message(rt.targetBindTags(f))
+	ginx.NewRender(c).Data(rt.targetBindTags(f, failedResults))
 }
 
-func (rt *Router) targetBindTags(f targetTagsForm) error {
-	for i := 0; i < len(f.Tags); i++ {
-		arr := strings.Split(f.Tags[i], "=")
+func (rt *Router) targetBindTags(f targetTagsForm, failedIdents map[string]string) (map[string]string, error) {
+	// 1. Check tags
+	if err := rt.validateTags(f.Tags); err != nil {
+		return nil, err
+	}
+
+	// 2. Acquire targets by idents
+	targets, err := models.TargetsGetByIdents(rt.Ctx, f.Idents)
+	if err != nil {
+		return nil, err
+	}
+
+	// 3. Add tags to targets
+	for _, target := range targets {
+		if err = rt.addTagsToTarget(target, f.Tags); err != nil {
+			failedIdents[target.Ident] = err.Error()
+		}
+	}
+
+	return failedIdents, nil
+}
+
+func (rt *Router) validateTags(tags []string) error {
+	for _, tag := range tags {
+		arr := strings.Split(tag, "=")
 		if len(arr) != 2 {
-			return fmt.Errorf("invalid tag(%s)", f.Tags[i])
+			return fmt.Errorf("invalid tag format: %s (expected format: key=value)", tag)
 		}
 
-		if strings.TrimSpace(arr[0]) == "" || strings.TrimSpace(arr[1]) == "" {
-			return fmt.Errorf("invalid tag(%s)", f.Tags[i])
+		key, value := strings.TrimSpace(arr[0]), strings.TrimSpace(arr[1])
+		if key == "" {
+			return fmt.Errorf("invalid tag: key is empty in tag %s", tag)
+		}
+		if value == "" {
+			return fmt.Errorf("invalid tag: value is empty in tag %s", tag)
 		}
 
-		if strings.IndexByte(arr[0], '.') != -1 {
-			return fmt.Errorf("invalid tagkey(%s): cannot contains . ", arr[0])
+		if strings.Contains(key, ".") {
+			return fmt.Errorf("invalid tag key: %s (key cannot contain '.')", key)
 		}
 
-		if strings.IndexByte(arr[0], '-') != -1 {
-			return fmt.Errorf("invalid tagkey(%s): cannot contains -", arr[0])
+		if strings.Contains(key, "-") {
+			return fmt.Errorf("invalid tag key: %s (key cannot contain '-')", key)
 		}
 
-		if !model.LabelNameRE.MatchString(arr[0]) {
-			return fmt.Errorf("invalid tagkey(%s)", arr[0])
+		if !model.LabelNameRE.MatchString(key) {
+			return fmt.Errorf("invalid tag key: %s "+
+				"(key must start with a letter or underscore, followed by letters, digits, or underscores)", key)
 		}
 	}
 
-	for i := 0; i < len(f.Idents); i++ {
-		target, err := models.TargetGetByIdent(rt.Ctx, f.Idents[i])
-		if err != nil {
-			return err
-		}
-
-		if target == nil {
-			continue
-		}
-
-		// 不能有同key的标签，否则附到时序数据上会产生覆盖，让人困惑
-		for j := 0; j < len(f.Tags); j++ {
-			tagkey := strings.Split(f.Tags[j], "=")[0]
-			tagkeyPrefix := tagkey + "="
-			if strings.HasPrefix(target.Tags, tagkeyPrefix) {
-				return fmt.Errorf("duplicate tagkey(%s)", tagkey)
-			}
-		}
-
-		err = target.AddTags(rt.Ctx, f.Tags)
-		if err != nil {
-			return err
-		}
-	}
 	return nil
 }
 
+func (rt *Router) addTagsToTarget(target *models.Target, tags []string) error {
+	for _, tag := range tags {
+		tagKey := strings.Split(tag, "=")[0]
+		if strings.Contains(target.Tags, tagKey+"=") {
+			return fmt.Errorf("duplicate tagkey(%s)", tagKey)
+		}
+	}
+
+	return target.AddTags(rt.Ctx, tags)
+}
+
 func (rt *Router) targetUnbindTagsByFE(c *gin.Context) {
 	var f targetTagsForm
+	var err error
+	var failedResults = make(map[string]string)
 	ginx.BindJSON(c, &f)
 
-	if len(f.Idents) == 0 {
-		ginx.Bomb(http.StatusBadRequest, "idents empty")
+	if len(f.Idents) == 0 && len(f.HostIps) == 0 {
+		ginx.Bomb(http.StatusBadRequest, "idents or host_ips must be provided")
+	}
+	// Acquire idents by idents and hostIps
+	failedResults, f.Idents, err = models.TargetsGetIdentsByIdentsAndHostIps(rt.Ctx, f.Idents, f.HostIps)
+	if err != nil {
+		ginx.Bomb(http.StatusBadRequest, err.Error())
 	}
 
 	rt.checkTargetPerm(c, f.Idents)
 
-	ginx.NewRender(c).Message(rt.targetUnbindTags(f))
+	ginx.NewRender(c).Data(rt.targetUnbindTags(f, failedResults))
 }
 
 func (rt *Router) targetUnbindTagsByService(c *gin.Context) {
 	var f targetTagsForm
+	var err error
+	var failedResults = make(map[string]string)
 	ginx.BindJSON(c, &f)
 
-	if len(f.Idents) == 0 {
-		ginx.Bomb(http.StatusBadRequest, "idents empty")
+	if len(f.Idents) == 0 && len(f.HostIps) == 0 {
+		ginx.Bomb(http.StatusBadRequest, "idents or host_ips must be provided")
+	}
+	// Acquire idents by idents and hostIps
+	failedResults, f.Idents, err = models.TargetsGetIdentsByIdentsAndHostIps(rt.Ctx, f.Idents, f.HostIps)
+	if err != nil {
+		ginx.Bomb(http.StatusBadRequest, err.Error())
 	}
 
-	ginx.NewRender(c).Message(rt.targetUnbindTags(f))
+	ginx.NewRender(c).Data(rt.targetUnbindTags(f, failedResults))
 }
 
-func (rt *Router) targetUnbindTags(f targetTagsForm) error {
-	for i := 0; i < len(f.Idents); i++ {
-		target, err := models.TargetGetByIdent(rt.Ctx, f.Idents[i])
-		if err != nil {
-			return err
-		}
-
-		if target == nil {
-			continue
-		}
+func (rt *Router) targetUnbindTags(f targetTagsForm, failedIdents map[string]string) (map[string]string, error) {
+	// 1. Acquire targets by idents
+	targets, err := models.TargetsGetByIdents(rt.Ctx, f.Idents)
+	if err != nil {
+		return nil, err
+	}
 
+	// 2. Remove tags from targets
+	for _, target := range targets {
 		err = target.DelTags(rt.Ctx, f.Tags)
 		if err != nil {
-			return err
+			failedIdents[target.Ident] = err.Error()
+			continue
 		}
 	}
-	return nil
+
+	return failedIdents, nil
 }
 
 type targetNoteForm struct {
-	Idents []string `json:"idents" binding:"required"`
-	Note   string   `json:"note"`
+	Idents  []string `json:"idents" binding:"required_without=HostIps"`
+	HostIps []string `json:"host_ips" binding:"required_without=Idents"`
+	Note    string   `json:"note"`
 }
 
 func (rt *Router) targetUpdateNote(c *gin.Context) {
 	var f targetNoteForm
+	var err error
+	var failedResults = make(map[string]string)
 	ginx.BindJSON(c, &f)
 
-	if len(f.Idents) == 0 {
-		ginx.Bomb(http.StatusBadRequest, "idents empty")
+	if len(f.Idents) == 0 && len(f.HostIps) == 0 {
+		ginx.Bomb(http.StatusBadRequest, "idents or host_ips must be provided")
+	}
+
+	// Acquire idents by idents and hostIps
+	failedResults, f.Idents, err = models.TargetsGetIdentsByIdentsAndHostIps(rt.Ctx, f.Idents, f.HostIps)
+	if err != nil {
+		ginx.Bomb(http.StatusBadRequest, err.Error())
 	}
 
 	rt.checkTargetPerm(c, f.Idents)
 
-	ginx.NewRender(c).Message(models.TargetUpdateNote(rt.Ctx, f.Idents, f.Note))
+	ginx.NewRender(c).Data(failedResults, models.TargetUpdateNote(rt.Ctx, f.Idents, f.Note))
 }
 
 func (rt *Router) targetUpdateNoteByService(c *gin.Context) {
 	var f targetNoteForm
+	var err error
+	var failedResults = make(map[string]string)
 	ginx.BindJSON(c, &f)
 
-	if len(f.Idents) == 0 {
-		ginx.Bomb(http.StatusBadRequest, "idents empty")
+	if len(f.Idents) == 0 && len(f.HostIps) == 0 {
+		ginx.Bomb(http.StatusBadRequest, "idents or host_ips must be provided")
 	}
 
-	ginx.NewRender(c).Message(models.TargetUpdateNote(rt.Ctx, f.Idents, f.Note))
+	// Acquire idents by idents and hostIps
+	failedResults, f.Idents, err = models.TargetsGetIdentsByIdentsAndHostIps(rt.Ctx, f.Idents, f.HostIps)
+	if err != nil {
+		ginx.Bomb(http.StatusBadRequest, err.Error())
+	}
+
+	ginx.NewRender(c).Data(failedResults, models.TargetUpdateNote(rt.Ctx, f.Idents, f.Note))
 }
 
 type targetBgidForm struct {
-	Idents []string `json:"idents" binding:"required"`
-	Bgid   int64    `json:"bgid"`
+	Idents  []string `json:"idents" binding:"required_without=HostIps"`
+	HostIps []string `json:"host_ips" binding:"required_without=Idents"`
+	Bgid    int64    `json:"bgid"`
 }
 
 func (rt *Router) targetUpdateBgid(c *gin.Context) {
 	var f targetBgidForm
+	var err error
+	var failedResults = make(map[string]string)
 	ginx.BindJSON(c, &f)
 
-	if len(f.Idents) == 0 {
-		ginx.Bomb(http.StatusBadRequest, "idents empty")
+	if len(f.Idents) == 0 && len(f.HostIps) == 0 {
+		ginx.Bomb(http.StatusBadRequest, "idents or host_ips must be provided")
+	}
+
+	// Acquire idents by idents and hostIps
+	failedResults, f.Idents, err = models.TargetsGetIdentsByIdentsAndHostIps(rt.Ctx, f.Idents, f.HostIps)
+	if err != nil {
+		ginx.Bomb(http.StatusBadRequest, err.Error())
 	}
 
 	user := c.MustGet("user").(*models.User)
 	if user.IsAdmin() {
-		ginx.NewRender(c).Message(models.TargetUpdateBgid(rt.Ctx, f.Idents, f.Bgid, false))
+		ginx.NewRender(c).Data(failedResults, models.TargetUpdateBgid(rt.Ctx, f.Idents, f.Bgid, false))
 		return
 	}
 
@@ -361,24 +430,69 @@ func (rt *Router) targetUpdateBgid(c *gin.Context) {
 		ginx.Bomb(http.StatusBadRequest, "invalid bgid")
 	}
 
-	ginx.NewRender(c).Message(models.TargetUpdateBgid(rt.Ctx, f.Idents, f.Bgid, false))
+	ginx.NewRender(c).Data(failedResults, models.TargetUpdateBgid(rt.Ctx, f.Idents, f.Bgid, false))
+}
+
+func (rt *Router) targetUpdateBgidByService(c *gin.Context) {
+	var f targetBgidForm
+	var err error
+	var failedResults = make(map[string]string)
+	ginx.BindJSON(c, &f)
+
+	if len(f.Idents) == 0 && len(f.HostIps) == 0 {
+		ginx.Bomb(http.StatusBadRequest, "idents or host_ips must be provided")
+	}
+
+	// Acquire idents by idents and hostIps
+	failedResults, f.Idents, err = models.TargetsGetIdentsByIdentsAndHostIps(rt.Ctx, f.Idents, f.HostIps)
+	if err != nil {
+		ginx.Bomb(http.StatusBadRequest, err.Error())
+	}
+
+	ginx.NewRender(c).Data(failedResults, models.TargetUpdateBgid(rt.Ctx, f.Idents, f.Bgid, false))
 }
 
 type identsForm struct {
-	Idents []string `json:"idents" binding:"required"`
+	Idents  []string `json:"idents" binding:"required_without=HostIps"`
+	HostIps []string `json:"host_ips" binding:"required_without=Idents"`
 }
 
 func (rt *Router) targetDel(c *gin.Context) {
 	var f identsForm
+	var err error
+	var failedResults = make(map[string]string)
 	ginx.BindJSON(c, &f)
 
-	if len(f.Idents) == 0 {
-		ginx.Bomb(http.StatusBadRequest, "idents empty")
+	if len(f.Idents) == 0 && len(f.HostIps) == 0 {
+		ginx.Bomb(http.StatusBadRequest, "idents or host_ips must be provided")
 	}
 
-	rt.checkTargetPerm(c, f.Idents)
+	// Acquire idents by idents and hostIps
+	failedResults, f.Idents, err = models.TargetsGetIdentsByIdentsAndHostIps(rt.Ctx, f.Idents, f.HostIps)
+	if err != nil {
+		ginx.Bomb(http.StatusBadRequest, err.Error())
+	}
 
-	ginx.NewRender(c).Message(models.TargetDel(rt.Ctx, f.Idents))
+	ginx.NewRender(c).Data(failedResults, models.TargetDel(rt.Ctx, f.Idents))
+}
+
+func (rt *Router) targetDelByService(c *gin.Context) {
+	var f identsForm
+	var err error
+	var failedResults = make(map[string]string)
+	ginx.BindJSON(c, &f)
+
+	if len(f.Idents) == 0 && len(f.HostIps) == 0 {
+		ginx.Bomb(http.StatusBadRequest, "idents or host_ips must be provided")
+	}
+
+	// Acquire idents by idents and hostIps
+	failedResults, f.Idents, err = models.TargetsGetIdentsByIdentsAndHostIps(rt.Ctx, f.Idents, f.HostIps)
+	if err != nil {
+		ginx.Bomb(http.StatusBadRequest, err.Error())
+	}
+
+	ginx.NewRender(c).Data(failedResults, models.TargetDel(rt.Ctx, f.Idents))
 }
 
 func (rt *Router) checkTargetPerm(c *gin.Context, idents []string) {

center/router/router_task.go

@@ -1,13 +1,10 @@
 package router
 
 import (
-	"fmt"
 	"net/http"
-	"net/http/httputil"
-	"net/url"
-	"strings"
 	"time"
 
+	"github.com/ccfos/nightingale/v6/alert/sender"
 	"github.com/ccfos/nightingale/v6/models"
 
 	"github.com/gin-gonic/gin"
@@ -54,6 +51,11 @@ func (rt *Router) taskGetsByGids(c *gin.Context) {
 			var err error
 			gids, err = models.MyBusiGroupIds(rt.Ctx, me.Id)
 			ginx.Dangerous(err)
+
+			if len(gids) == 0 {
+				ginx.Bomb(http.StatusForbidden, "forbidden")
+				return
+			}
 		}
 	}
 
@@ -96,71 +98,6 @@ type taskForm struct {
 	Hosts     []string `json:"hosts" binding:"required"`
 }
 
-func (f *taskForm) Verify() error {
-	if f.Batch < 0 {
-		return fmt.Errorf("arg(batch) should be nonnegative")
-	}
-
-	if f.Tolerance < 0 {
-		return fmt.Errorf("arg(tolerance) should be nonnegative")
-	}
-
-	if f.Timeout < 0 {
-		return fmt.Errorf("arg(timeout) should be nonnegative")
-	}
-
-	if f.Timeout > 3600*24 {
-		return fmt.Errorf("arg(timeout) longer than one day")
-	}
-
-	if f.Timeout == 0 {
-		f.Timeout = 30
-	}
-
-	f.Pause = strings.Replace(f.Pause, "，", ",", -1)
-	f.Pause = strings.Replace(f.Pause, " ", "", -1)
-	f.Args = strings.Replace(f.Args, "，", ",", -1)
-
-	if f.Title == "" {
-		return fmt.Errorf("arg(title) is required")
-	}
-
-	if str.Dangerous(f.Title) {
-		return fmt.Errorf("arg(title) is dangerous")
-	}
-
-	if f.Script == "" {
-		return fmt.Errorf("arg(script) is required")
-	}
-	f.Script = strings.Replace(f.Script, "\r\n", "\n", -1)
-
-	if str.Dangerous(f.Args) {
-		return fmt.Errorf("arg(args) is dangerous")
-	}
-
-	if str.Dangerous(f.Pause) {
-		return fmt.Errorf("arg(pause) is dangerous")
-	}
-
-	if len(f.Hosts) == 0 {
-		return fmt.Errorf("arg(hosts) empty")
-	}
-
-	if f.Action != "start" && f.Action != "pause" {
-		return fmt.Errorf("arg(action) invalid")
-	}
-
-	return nil
-}
-
-func (f *taskForm) HandleFH(fh string) {
-	i := strings.Index(f.Title, " FH: ")
-	if i > 0 {
-		f.Title = f.Title[:i]
-	}
-	f.Title = f.Title + " FH: " + fh
-}
-
 func (rt *Router) taskRecordAdd(c *gin.Context) {
 	var f *models.TaskRecord
 	ginx.BindJSON(c, &f)
@@ -168,7 +105,7 @@ func (rt *Router) taskRecordAdd(c *gin.Context) {
 }
 
 func (rt *Router) taskAdd(c *gin.Context) {
-	var f taskForm
+	var f models.TaskForm
 	ginx.BindJSON(c, &f)
 
 	bgid := ginx.UrlParamInt64(c, "id")
@@ -184,7 +121,7 @@ func (rt *Router) taskAdd(c *gin.Context) {
 	rt.checkTargetPerm(c, f.Hosts)
 
 	// call ibex
-	taskId, err := TaskCreate(f, rt.NotifyConfigCache.GetIbex())
+	taskId, err := sender.TaskAdd(f, user.Username, rt.Ctx.IsCenter)
 	ginx.Dangerous(err)
 
 	if taskId <= 0 {
@@ -193,65 +130,20 @@ func (rt *Router) taskAdd(c *gin.Context) {
 
 	// write db
 	record := models.TaskRecord{
-		Id:           taskId,
-		GroupId:      bgid,
-		IbexAddress:  rt.NotifyConfigCache.GetIbex().Address,
-		IbexAuthUser: rt.NotifyConfigCache.GetIbex().BasicAuthUser,
-		IbexAuthPass: rt.NotifyConfigCache.GetIbex().BasicAuthPass,
-		Title:        f.Title,
-		Account:      f.Account,
-		Batch:        f.Batch,
-		Tolerance:    f.Tolerance,
-		Timeout:      f.Timeout,
-		Pause:        f.Pause,
-		Script:       f.Script,
-		Args:         f.Args,
-		CreateAt:     time.Now().Unix(),
-		CreateBy:     f.Creator,
+		Id:        taskId,
+		GroupId:   bgid,
+		Title:     f.Title,
+		Account:   f.Account,
+		Batch:     f.Batch,
+		Tolerance: f.Tolerance,
+		Timeout:   f.Timeout,
+		Pause:     f.Pause,
+		Script:    f.Script,
+		Args:      f.Args,
+		CreateAt:  time.Now().Unix(),
+		CreateBy:  f.Creator,
 	}
 
 	err = record.Add(rt.Ctx)
 	ginx.NewRender(c).Data(taskId, err)
 }
-
-func (rt *Router) taskProxy(c *gin.Context) {
-	target, err := url.Parse(rt.NotifyConfigCache.GetIbex().Address)
-	if err != nil {
-		ginx.NewRender(c).Message("invalid ibex address: %s", rt.NotifyConfigCache.GetIbex().Address)
-		return
-	}
-
-	director := func(req *http.Request) {
-		req.URL.Scheme = target.Scheme
-		req.URL.Host = target.Host
-
-		// fe request e.g. /api/n9e/busi-group/:id/task/*url
-		index := strings.Index(req.URL.Path, "/task/")
-		if index == -1 {
-			panic("url path invalid")
-		}
-
-		req.URL.Path = "/ibex/v1" + req.URL.Path[index:]
-
-		if target.RawQuery == "" || req.URL.RawQuery == "" {
-			req.URL.RawQuery = target.RawQuery + req.URL.RawQuery
-		} else {
-			req.URL.RawQuery = target.RawQuery + "&" + req.URL.RawQuery
-		}
-
-		if rt.NotifyConfigCache.GetIbex().BasicAuthUser != "" {
-			req.SetBasicAuth(rt.NotifyConfigCache.GetIbex().BasicAuthUser, rt.NotifyConfigCache.GetIbex().BasicAuthPass)
-		}
-	}
-
-	errFunc := func(w http.ResponseWriter, r *http.Request, err error) {
-		ginx.NewRender(c, http.StatusBadGateway).Message(err)
-	}
-
-	proxy := &httputil.ReverseProxy{
-		Director:     director,
-		ErrorHandler: errFunc,
-	}
-
-	proxy.ServeHTTP(c.Writer, c.Request)
-}

center/router/router_task_tpl.go

@@ -45,6 +45,11 @@ func (rt *Router) taskTplGetsByGids(c *gin.Context) {
 			var err error
 			gids, err = models.MyBusiGroupIds(rt.Ctx, me.Id)
 			ginx.Dangerous(err)
+
+			if len(gids) == 0 {
+				ginx.Bomb(http.StatusForbidden, "forbidden")
+				return
+			}
 		}
 	}
 
@@ -91,6 +96,14 @@ func (rt *Router) taskTplGetByService(c *gin.Context) {
 	ginx.NewRender(c).Data(tpl, err)
 }
 
+func (rt *Router) taskTplGetsByService(c *gin.Context) {
+	ginx.NewRender(c).Data(models.TaskTplGetAll(rt.Ctx))
+}
+
+func (rt *Router) taskTplStatistics(c *gin.Context) {
+	ginx.NewRender(c).Data(models.TaskTplStatistics(rt.Ctx))
+}
+
 type taskTplForm struct {
 	Title     string   `json:"title" binding:"required"`
 	Batch     int      `json:"batch"`

center/router/router_user.go

@@ -5,8 +5,8 @@ import (
 	"strings"
 
 	"github.com/ccfos/nightingale/v6/models"
+	"github.com/ccfos/nightingale/v6/pkg/flashduty"
 	"github.com/ccfos/nightingale/v6/pkg/ormx"
-	"github.com/ccfos/nightingale/v6/pkg/secu"
 
 	"github.com/gin-gonic/gin"
 	"github.com/toolkits/pkg/ginx"
@@ -40,13 +40,16 @@ func (rt *Router) userFindAll(c *gin.Context) {
 }
 
 func (rt *Router) userGets(c *gin.Context) {
+	stime, etime := getTimeRange(c)
 	limit := ginx.QueryInt(c, "limit", 20)
 	query := ginx.QueryStr(c, "query", "")
+	order := ginx.QueryStr(c, "order", "username")
+	desc := ginx.QueryBool(c, "desc", false)
 
-	total, err := models.UserTotal(rt.Ctx, query)
+	total, err := models.UserTotal(rt.Ctx, query, stime, etime)
 	ginx.Dangerous(err)
 
-	list, err := models.UserGets(rt.Ctx, query, limit, ginx.Offset(c, limit))
+	list, err := models.UserGets(rt.Ctx, query, limit, ginx.Offset(c, limit), stime, etime, order, desc)
 	ginx.Dangerous(err)
 
 	user := c.MustGet("user").(*models.User)
@@ -73,10 +76,7 @@ func (rt *Router) userAddPost(c *gin.Context) {
 	var f userAddForm
 	ginx.BindJSON(c, &f)
 
-	decPassWord, err := secu.Decrypt(f.Password, rt.HTTP.RSA.RSAPrivateKey, rt.HTTP.RSA.RSAPassWord)
-	ginx.Dangerous(err)
-
-	password, err := models.CryptoPass(rt.Ctx, decPassWord)
+	password, err := models.CryptoPass(rt.Ctx, f.Password)
 	ginx.Dangerous(err)
 
 	if len(f.Roles) == 0 {
@@ -98,6 +98,7 @@ func (rt *Router) userAddPost(c *gin.Context) {
 		UpdateBy: username,
 	}
 
+	ginx.Dangerous(u.Verify())
 	ginx.NewRender(c).Message(u.Add(rt.Ctx))
 }
 
@@ -122,10 +123,7 @@ func (rt *Router) userProfilePutByService(c *gin.Context) {
 		ginx.Bomb(http.StatusBadRequest, "roles empty")
 	}
 
-	decPassWord, err := secu.Decrypt(f.Password, rt.HTTP.RSA.RSAPrivateKey, rt.HTTP.RSA.RSAPassWord)
-	ginx.Dangerous(err)
-
-	password, err := models.CryptoPass(rt.Ctx, decPassWord)
+	password, err := models.CryptoPass(rt.Ctx, f.Password)
 	ginx.Dangerous(err)
 
 	target := User(rt.Ctx, ginx.UrlParamInt64(c, "id"))
@@ -150,6 +148,11 @@ func (rt *Router) userProfilePut(c *gin.Context) {
 	}
 
 	target := User(rt.Ctx, ginx.UrlParamInt64(c, "id"))
+	oldInfo := models.User{
+		Username: target.Username,
+		Phone:    target.Phone,
+		Email:    target.Email,
+	}
 	target.Nickname = f.Nickname
 	target.Phone = f.Phone
 	target.Email = f.Email
@@ -157,6 +160,10 @@ func (rt *Router) userProfilePut(c *gin.Context) {
 	target.Contacts = f.Contacts
 	target.UpdateBy = c.MustGet("username").(string)
 
+	if flashduty.NeedSyncUser(rt.Ctx) {
+		flashduty.UpdateUser(rt.Ctx, oldInfo, f.Email, f.Phone)
+	}
+
 	ginx.NewRender(c).Message(target.UpdateAllFields(rt.Ctx))
 }
 
@@ -170,10 +177,7 @@ func (rt *Router) userPasswordPut(c *gin.Context) {
 
 	target := User(rt.Ctx, ginx.UrlParamInt64(c, "id"))
 
-	decPassWord, err := secu.Decrypt(f.Password, rt.HTTP.RSA.RSAPrivateKey, rt.HTTP.RSA.RSAPassWord)
-	ginx.Dangerous(err)
-
-	cryptoPass, err := models.CryptoPass(rt.Ctx, decPassWord)
+	cryptoPass, err := models.CryptoPass(rt.Ctx, f.Password)
 	ginx.Dangerous(err)
 
 	ginx.NewRender(c).Message(target.UpdatePassword(rt.Ctx, cryptoPass, c.MustGet("username").(string)))

center/sso/init.go

@@ -5,23 +5,27 @@ import (
 	"time"
 
 	"github.com/ccfos/nightingale/v6/center/cconf"
+	"github.com/ccfos/nightingale/v6/memsto"
 	"github.com/ccfos/nightingale/v6/models"
 	"github.com/ccfos/nightingale/v6/pkg/cas"
 	"github.com/ccfos/nightingale/v6/pkg/ctx"
 	"github.com/ccfos/nightingale/v6/pkg/ldapx"
 	"github.com/ccfos/nightingale/v6/pkg/oauth2x"
 	"github.com/ccfos/nightingale/v6/pkg/oidcx"
+	"github.com/ccfos/nightingale/v6/pkg/tplx"
 
 	"github.com/BurntSushi/toml"
 	"github.com/toolkits/pkg/logger"
 )
 
 type SsoClient struct {
-	OIDC           *oidcx.SsoClient
-	LDAP           *ldapx.SsoClient
-	CAS            *cas.SsoClient
-	OAuth2         *oauth2x.SsoClient
-	LastUpdateTime int64
+	OIDC                 *oidcx.SsoClient
+	LDAP                 *ldapx.SsoClient
+	CAS                  *cas.SsoClient
+	OAuth2               *oauth2x.SsoClient
+	LastUpdateTime       int64
+	configCache          *memsto.ConfigCache
+	configLastUpdateTime int64
 }
 
 const LDAP = `
@@ -111,7 +115,7 @@ Phone = 'phone_number'
 Email = 'email'
 `
 
-func Init(center cconf.Center, ctx *ctx.Context) *SsoClient {
+func Init(center cconf.Center, ctx *ctx.Context, configCache *memsto.ConfigCache) *SsoClient {
 	ssoClient := new(SsoClient)
 	m := make(map[string]string)
 	m["LDAP"] = LDAP
@@ -140,6 +144,11 @@ func Init(center cconf.Center, ctx *ctx.Context) *SsoClient {
 			log.Fatalln(err)
 		}
 	}
+	if configCache == nil {
+		logger.Error("configCache is nil, sso initialization failed")
+	}
+	ssoClient.configCache = configCache
+	userVariableMap := configCache.Get()
 
 	configs, err := models.SsoConfigGets(ctx)
 	if err != nil {
@@ -147,6 +156,7 @@ func Init(center cconf.Center, ctx *ctx.Context) *SsoClient {
 	}
 
 	for _, cfg := range configs {
+		cfg.Content = tplx.ReplaceTemplateUseText(cfg.Name, cfg.Content, userVariableMap)
 		switch cfg.Name {
 		case "LDAP":
 			var config ldapx.Config
@@ -185,7 +195,7 @@ func Init(center cconf.Center, ctx *ctx.Context) *SsoClient {
 		}
 	}
 
-	ssoClient.SyncSsoUsers(ctx)
+	go ssoClient.SyncSsoUsers(ctx)
 	go ssoClient.Reload(ctx)
 	return ssoClient
 }
@@ -197,7 +207,8 @@ func (s *SsoClient) reload(ctx *ctx.Context) error {
 		return err
 	}
 
-	if lastUpdateTime == s.LastUpdateTime {
+	lastCacheUpdateTime := s.configCache.GetLastUpdateTime()
+	if lastUpdateTime == s.LastUpdateTime && lastCacheUpdateTime == s.configLastUpdateTime {
 		return nil
 	}
 
@@ -205,8 +216,9 @@ func (s *SsoClient) reload(ctx *ctx.Context) error {
 	if err != nil {
 		return err
 	}
-
+	userVariableMap := s.configCache.Get()
 	for _, cfg := range configs {
+		cfg.Content = tplx.ReplaceTemplateUseText(cfg.Name, cfg.Content, userVariableMap)
 		switch cfg.Name {
 		case "LDAP":
 			var config ldapx.Config
@@ -250,6 +262,7 @@ func (s *SsoClient) reload(ctx *ctx.Context) error {
 	}
 
 	s.LastUpdateTime = lastUpdateTime
+	s.configLastUpdateTime = lastCacheUpdateTime
 	return nil
 }
 

cmd/edge/edge.go

@@ -8,6 +8,7 @@ import (
 	"github.com/ccfos/nightingale/v6/alert"
 	"github.com/ccfos/nightingale/v6/alert/astats"
 	"github.com/ccfos/nightingale/v6/alert/process"
+	alertrt "github.com/ccfos/nightingale/v6/alert/router"
 	"github.com/ccfos/nightingale/v6/center/metas"
 	"github.com/ccfos/nightingale/v6/conf"
 	"github.com/ccfos/nightingale/v6/dumper"
@@ -17,12 +18,12 @@ import (
 	"github.com/ccfos/nightingale/v6/pkg/logx"
 	"github.com/ccfos/nightingale/v6/prom"
 	"github.com/ccfos/nightingale/v6/pushgw/idents"
+	pushgwrt "github.com/ccfos/nightingale/v6/pushgw/router"
 	"github.com/ccfos/nightingale/v6/pushgw/writer"
 	"github.com/ccfos/nightingale/v6/storage"
 	"github.com/ccfos/nightingale/v6/tdengine"
 
-	alertrt "github.com/ccfos/nightingale/v6/alert/router"
-	pushgwrt "github.com/ccfos/nightingale/v6/pushgw/router"
+	"github.com/flashcatcloud/ibex/src/cmd/ibex"
 )
 
 func Initialize(configDir string, cryptoKey string) (func(), error) {
@@ -42,16 +43,14 @@ func Initialize(configDir string, cryptoKey string) (func(), error) {
 	ctx := ctx.NewContext(context.Background(), nil, false, config.CenterApi)
 
 	var redis storage.Redis
-	if config.Redis.Address != "" {
-		redis, err = storage.NewRedis(config.Redis)
-		if err != nil {
-			return nil, err
-		}
+	redis, err = storage.NewRedis(config.Redis)
+	if err != nil {
+		return nil, err
 	}
 
 	syncStats := memsto.NewSyncStats()
 
-	targetCache := memsto.NewTargetCache(ctx, syncStats, nil)
+	targetCache := memsto.NewTargetCache(ctx, syncStats, redis)
 	busiGroupCache := memsto.NewBusiGroupCache(ctx, syncStats)
 	idents := idents.New(ctx, redis)
 	metas := metas.New(redis)
@@ -69,17 +68,22 @@ func Initialize(configDir string, cryptoKey string) (func(), error) {
 		notifyConfigCache := memsto.NewNotifyConfigCache(ctx, configCache)
 		userCache := memsto.NewUserCache(ctx, syncStats)
 		userGroupCache := memsto.NewUserGroupCache(ctx, syncStats)
+		taskTplsCache := memsto.NewTaskTplCache(ctx)
 
 		promClients := prom.NewPromClient(ctx)
 		tdengineClients := tdengine.NewTdengineClient(ctx, config.Alert.Heartbeat)
 		externalProcessors := process.NewExternalProcessors()
 
 		alert.Start(config.Alert, config.Pushgw, syncStats, alertStats, externalProcessors, targetCache, busiGroupCache, alertMuteCache,
-			alertRuleCache, notifyConfigCache, dsCache, ctx, promClients, tdengineClients, userCache, userGroupCache)
+			alertRuleCache, notifyConfigCache, taskTplsCache, dsCache, ctx, promClients, tdengineClients, userCache, userGroupCache)
 
 		alertrtRouter := alertrt.New(config.HTTP, config.Alert, alertMuteCache, targetCache, busiGroupCache, alertStats, ctx, externalProcessors)
 
 		alertrtRouter.Config(r)
+
+		if config.Ibex.Enable {
+			ibex.ServerStart(false, nil, redis, config.HTTP.APIForService.BasicAuth, config.Alert.Heartbeat, &config.CenterApi, r, nil, config.Ibex, config.HTTP.Port)
+		}
 	}
 
 	dumper.ConfigRouter(r)

conf/conf.go

@@ -27,6 +27,7 @@ type ConfigType struct {
 	Pushgw pconf.Pushgw
 	Alert  aconf.Alert
 	Center cconf.Center
+	Ibex   Ibex
 }
 
 type CenterApi struct {
@@ -40,6 +41,17 @@ type GlobalConfig struct {
 	RunMode string
 }
 
+type Ibex struct {
+	Enable    bool
+	RPCListen string
+	Output    Output
+}
+
+type Output struct {
+	ComeFrom string
+	AgtdPort int
+}
+
 func InitConfig(configDir, cryptoKey string) (*ConfigType, error) {
 	var config = new(ConfigType)
 

docker/Dockerfile

@@ -1,12 +0,0 @@
-FROM python:3-slim
-#FROM ubuntu:21.04
-
-WORKDIR /app
-ADD n9e /app
-ADD http://download.flashcat.cloud/wait /wait
-RUN chmod +x /wait
-RUN chmod +x n9e
-
-EXPOSE 17000
-
-CMD ["/app/n9e", "-h"]

docker/Dockerfile.goreleaser

@@ -3,7 +3,7 @@ FROM --platform=$TARGETPLATFORM python:3-slim
 
 WORKDIR /app
 ADD n9e /app/
-ADD etc /app/
+ADD etc /app/etc/
 ADD integrations /app/integrations/
 RUN pip install requests
 

docker/Dockerfile.goreleaser.arm64

@@ -3,7 +3,7 @@ FROM --platform=$TARGETPLATFORM python:3-slim
 
 WORKDIR /app
 ADD n9e /app/
-ADD etc /app/
+ADD etc /app/etc/
 ADD integrations /app/integrations/
 
 EXPOSE 17000

docker/compose-bridge/docker-compose.yaml

@@ -69,27 +69,6 @@ services:
     command:
       - "--loggerTimezone=Asia/Shanghai"
 
-  ibex:
-    image: flashcatcloud/ibex:v1.2.0
-    container_name: ibex
-    hostname: ibex
-    restart: always
-    environment:
-      GIN_MODE: release
-      TZ: Asia/Shanghai
-      WAIT_HOSTS: mysql:3306
-    volumes:
-      - ./etc-ibex:/app/etc
-    networks:
-      - nightingale
-    ports:
-      - "10090:10090"
-      - "20090:20090"
-    depends_on:
-      - mysql
-    command: >
-      sh -c "/app/ibex server"
-
   nightingale:
     image: flashcatcloud/nightingale:latest
     container_name: nightingale
@@ -105,6 +84,7 @@ services:
       - nightingale
     ports:
       - "17000:17000"
+      - "20090:20090"
     depends_on:
       - mysql
       - redis
@@ -122,7 +102,7 @@ services:
       HOST_PROC: /hostfs/proc
       HOST_SYS: /hostfs/sys
       HOST_MOUNT_PREFIX: /hostfs
-      WAIT_HOSTS: nightingale:17000, ibex:20090
+      WAIT_HOSTS: nightingale:17000, nightingale:20090
     volumes:
       - ./etc-categraf:/etc/categraf/conf
       - /:/hostfs

docker/compose-bridge/etc-categraf/config.toml

@@ -78,6 +78,6 @@ enable = true
 ## ibex flush interval
 interval = "1000ms"
 ## n9e ibex server rpc address
-servers = ["ibex:20090"]
+servers = ["nightingale:20090"]
 ## temp script dir
 meta_dir = "./meta"

docker/compose-bridge/etc-ibex/server.conf

@@ -1,97 +0,0 @@
-# debug, release
-RunMode = "release"
-
-[Log]
-# log write dir
-Dir = "logs-server"
-# log level: DEBUG INFO WARNING ERROR
-Level = "DEBUG"
-# stdout, stderr, file
-Output = "stdout"
-# # rotate by time
-# KeepHours: 4
-# # rotate by size
-# RotateNum = 3
-# # unit: MB
-# RotateSize = 256
-
-[HTTP]
-Enable = true
-# http listening address
-Host = "0.0.0.0"
-# http listening port
-Port = 10090
-# https cert file path
-CertFile = ""
-# https key file path
-KeyFile = ""
-# whether print access log
-PrintAccessLog = true
-# whether enable pprof
-PProf = false
-# http graceful shutdown timeout, unit: s
-ShutdownTimeout = 30
-# max content length: 64M
-MaxContentLength = 67108864
-# http server read timeout, unit: s
-ReadTimeout = 20
-# http server write timeout, unit: s
-WriteTimeout = 40
-# http server idle timeout, unit: s
-IdleTimeout = 120
-
-[BasicAuth]
-# using when call apis
-ibex = "ibex"
-
-[RPC]
-Listen = "0.0.0.0:20090"
-
-[Heartbeat]
-# auto detect if blank
-IP = ""
-# unit: ms
-Interval = 1000
-
-[Output]
-# database | remote
-ComeFrom = "database"
-AgtdPort = 2090
-
-[Gorm]
-# enable debug mode or not
-Debug = false
-# mysql postgres
-DBType = "mysql"
-# unit: s
-MaxLifetime = 7200
-# max open connections
-MaxOpenConns = 150
-# max idle connections
-MaxIdleConns = 50
-# table prefix
-TablePrefix = ""
-
-[MySQL]
-# mysql address host:port
-Address = "mysql:3306"
-# mysql username
-User = "root"
-# mysql password
-Password = "1234"
-# database name
-DBName = "ibex"
-# connection params
-Parameters = "charset=utf8mb4&parseTime=True&loc=Local&allowNativePasswords=true"
-
-[Postgres]
-# pg address host:port
-Address = "postgres:5432"
-# pg user
-User = "root"
-# pg password
-Password = "1234"
-# database name
-DBName = "ibex"
-# ssl mode
-SSLMode = "disable"

docker/compose-bridge/etc-nightingale/config.toml

@@ -55,8 +55,6 @@ Enable = true
 user001 = "ccc26da7b9aba533cbb263a36c07dcc5"
 
 [HTTP.JWTAuth]
-# signing key
-SigningKey = "5b94a0fd640fe2765af826acfe42d151"
 # unit: min
 AccessExpired = 1500
 # unit: min
@@ -96,8 +94,6 @@ MaxLifetime = 7200
 MaxOpenConns = 150
 # max idle connections
 MaxIdleConns = 50
-# table prefix
-TablePrefix = ""
 # enable auto migrate or not
 # EnableAutoMigrate = false
 
@@ -181,3 +177,7 @@ MaxIdleConnsPerHost = 100
 # Regex = "([^:]+)(?::\\d+)?"
 # Replacement = "$1:80"
 # TargetLabel = "__address__"
+
+[Ibex]
+Enable = true
+RPCListen = "0.0.0.0:20090"

docker/compose-host-network-metric-log/docker-compose.yaml

@@ -42,23 +42,6 @@ services:
       - "--enable-feature=remote-write-receiver"
       - "--query.lookback-delta=2m"
 
-  ibex:
-    image: flashcatcloud/ibex:v0.5.0
-    container_name: ibex
-    hostname: ibex
-    restart: always
-    environment:
-      GIN_MODE: release
-      TZ: Asia/Shanghai
-      WAIT_HOSTS: 127.0.0.1:3306
-    volumes:
-      - ./etc-ibex:/app/etc
-    network_mode: host
-    depends_on:
-      - mysql
-    command: >
-      sh -c "/app/ibex server"
-
   n9e:
     image: flashcatcloud/nightingale:latest
     container_name: n9e

docker/compose-host-network-metric-log/etc-ibex/server.conf

@@ -1,97 +0,0 @@
-# debug, release
-RunMode = "release"
-
-[Log]
-# log write dir
-Dir = "logs-server"
-# log level: DEBUG INFO WARNING ERROR
-Level = "DEBUG"
-# stdout, stderr, file
-Output = "stdout"
-# # rotate by time
-# KeepHours: 4
-# # rotate by size
-# RotateNum = 3
-# # unit: MB
-# RotateSize = 256
-
-[HTTP]
-Enable = true
-# http listening address
-Host = "0.0.0.0"
-# http listening port
-Port = 10090
-# https cert file path
-CertFile = ""
-# https key file path
-KeyFile = ""
-# whether print access log
-PrintAccessLog = true
-# whether enable pprof
-PProf = false
-# http graceful shutdown timeout, unit: s
-ShutdownTimeout = 30
-# max content length: 64M
-MaxContentLength = 67108864
-# http server read timeout, unit: s
-ReadTimeout = 20
-# http server write timeout, unit: s
-WriteTimeout = 40
-# http server idle timeout, unit: s
-IdleTimeout = 120
-
-[BasicAuth]
-# using when call apis
-ibex = "ibex"
-
-[RPC]
-Listen = "0.0.0.0:20090"
-
-[Heartbeat]
-# auto detect if blank
-IP = ""
-# unit: ms
-Interval = 1000
-
-[Output]
-# database | remote
-ComeFrom = "database"
-AgtdPort = 2090
-
-[Gorm]
-# enable debug mode or not
-Debug = false
-# mysql postgres
-DBType = "mysql"
-# unit: s
-MaxLifetime = 7200
-# max open connections
-MaxOpenConns = 150
-# max idle connections
-MaxIdleConns = 50
-# table prefix
-TablePrefix = ""
-
-[MySQL]
-# mysql address host:port
-Address = "127.0.0.1:3306"
-# mysql username
-User = "root"
-# mysql password
-Password = "1234"
-# database name
-DBName = "ibex"
-# connection params
-Parameters = "charset=utf8mb4&parseTime=True&loc=Local&allowNativePasswords=true"
-
-[Postgres]
-# pg address host:port
-Address = "127.0.0.1:5432"
-# pg user
-User = "root"
-# pg password
-Password = "1234"
-# database name
-DBName = "ibex"
-# ssl mode
-SSLMode = "disable"

docker/compose-host-network-metric-log/etc-nightingale/config.toml

@@ -55,8 +55,6 @@ Enable = true
 user001 = "ccc26da7b9aba533cbb263a36c07dcc5"
 
 [HTTP.JWTAuth]
-# signing key
-SigningKey = "5b94a0fd640fe2765af826acfe42d151"
 # unit: min
 AccessExpired = 1500
 # unit: min
@@ -97,8 +95,6 @@ MaxLifetime = 7200
 MaxOpenConns = 150
 # max idle connections
 MaxIdleConns = 50
-# table prefix
-TablePrefix = ""
 # enable auto migrate or not
 # EnableAutoMigrate = false
 
@@ -182,3 +178,7 @@ MaxIdleConnsPerHost = 100
 # Regex = "([^:]+)(?::\\d+)?"
 # Replacement = "$1:80"
 # TargetLabel = "__address__"
+
+[Ibex]
+Enable = true
+RPCListen = "0.0.0.0:20090"

docker/compose-host-network/docker-compose.yaml

@@ -42,23 +42,6 @@ services:
       - "--enable-feature=remote-write-receiver"
       - "--query.lookback-delta=2m"
 
-  ibex:
-    image: flashcatcloud/ibex:v0.5.0
-    container_name: ibex
-    hostname: ibex
-    restart: always
-    environment:
-      GIN_MODE: release
-      TZ: Asia/Shanghai
-      WAIT_HOSTS: 127.0.0.1:3306
-    volumes:
-      - ./etc-ibex:/app/etc
-    network_mode: host
-    depends_on:
-      - mysql
-    command: >
-      sh -c "/app/ibex server"
-
   n9e:
     image: flashcatcloud/nightingale:latest
     container_name: n9e

docker/compose-host-network/etc-ibex/server.conf

@@ -1,97 +0,0 @@
-# debug, release
-RunMode = "release"
-
-[Log]
-# log write dir
-Dir = "logs-server"
-# log level: DEBUG INFO WARNING ERROR
-Level = "DEBUG"
-# stdout, stderr, file
-Output = "stdout"
-# # rotate by time
-# KeepHours: 4
-# # rotate by size
-# RotateNum = 3
-# # unit: MB
-# RotateSize = 256
-
-[HTTP]
-Enable = true
-# http listening address
-Host = "0.0.0.0"
-# http listening port
-Port = 10090
-# https cert file path
-CertFile = ""
-# https key file path
-KeyFile = ""
-# whether print access log
-PrintAccessLog = true
-# whether enable pprof
-PProf = false
-# http graceful shutdown timeout, unit: s
-ShutdownTimeout = 30
-# max content length: 64M
-MaxContentLength = 67108864
-# http server read timeout, unit: s
-ReadTimeout = 20
-# http server write timeout, unit: s
-WriteTimeout = 40
-# http server idle timeout, unit: s
-IdleTimeout = 120
-
-[BasicAuth]
-# using when call apis
-ibex = "ibex"
-
-[RPC]
-Listen = "0.0.0.0:20090"
-
-[Heartbeat]
-# auto detect if blank
-IP = ""
-# unit: ms
-Interval = 1000
-
-[Output]
-# database | remote
-ComeFrom = "database"
-AgtdPort = 2090
-
-[Gorm]
-# enable debug mode or not
-Debug = false
-# mysql postgres
-DBType = "mysql"
-# unit: s
-MaxLifetime = 7200
-# max open connections
-MaxOpenConns = 150
-# max idle connections
-MaxIdleConns = 50
-# table prefix
-TablePrefix = ""
-
-[MySQL]
-# mysql address host:port
-Address = "127.0.0.1:3306"
-# mysql username
-User = "root"
-# mysql password
-Password = "1234"
-# database name
-DBName = "ibex"
-# connection params
-Parameters = "charset=utf8mb4&parseTime=True&loc=Local&allowNativePasswords=true"
-
-[Postgres]
-# pg address host:port
-Address = "127.0.0.1:5432"
-# pg user
-User = "root"
-# pg password
-Password = "1234"
-# database name
-DBName = "ibex"
-# ssl mode
-SSLMode = "disable"

docker/compose-host-network/etc-nightingale/config.toml

@@ -55,8 +55,6 @@ Enable = true
 user001 = "ccc26da7b9aba533cbb263a36c07dcc5"
 
 [HTTP.JWTAuth]
-# signing key
-SigningKey = "5b94a0fd640fe2765af826acfe42d151"
 # unit: min
 AccessExpired = 1500
 # unit: min
@@ -97,8 +95,6 @@ MaxLifetime = 7200
 MaxOpenConns = 150
 # max idle connections
 MaxIdleConns = 50
-# table prefix
-TablePrefix = ""
 # enable auto migrate or not
 # EnableAutoMigrate = false
 
@@ -182,3 +178,7 @@ MaxIdleConnsPerHost = 100
 # Regex = "([^:]+)(?::\\d+)?"
 # Replacement = "$1:80"
 # TargetLabel = "__address__"
+
+[Ibex]
+Enable = true
+RPCListen = "0.0.0.0:20090"

docker/compose-postgres/docker-compose.yaml

@@ -51,29 +51,6 @@ services:
     command:
       - "--loggerTimezone=Asia/Shanghai"
 
-  ibex:
-    image: flashcatcloud/ibex:v1.2.0
-    container_name: ibex
-    hostname: ibex
-    restart: always
-    environment:
-      GIN_MODE: release
-      TZ: Asia/Shanghai
-      WAIT_HOSTS: postgres:5432
-    ports:
-      - "10090:10090"
-      - "20090:20090"
-    volumes:
-      - ./ibexetc_pg:/app/etc
-    networks:
-      - nightingale
-    depends_on:
-      - postgres
-    links:
-      - postgres:postgres
-    command: >
-      sh -c "/app/ibex server"
-
   nightingale:
     image: flashcatcloud/nightingale:latest
     container_name: nightingale
@@ -93,12 +70,10 @@ services:
       - postgres
       - redis
       - victoriametrics
-      - ibex
     links:
       - postgres:postgres
       - redis:redis
       - victoriametrics:victoriametrics
-      - ibex:ibex
     command: >
       sh -c "/app/n9e"
 
@@ -112,7 +87,7 @@ services:
       HOST_PROC: /hostfs/proc
       HOST_SYS: /hostfs/sys
       HOST_MOUNT_PREFIX: /hostfs
-      WAIT_HOSTS: nightingale:17000, ibex:20090
+      WAIT_HOSTS: nightingale:17000, nightingale:20090
     volumes:
       - ./categraf/conf:/etc/categraf/conf
       - /:/hostfs
@@ -124,7 +99,5 @@ services:
       - nightingale
     depends_on:
       - nightingale
-      - ibex
     links:
-      - nightingale:nightingale
-      - ibex:ibex
+      - nightingale:nightingale

docker/compose-postgres/ibexetc_pg/server.conf

@@ -1,97 +0,0 @@
-# debug, release
-RunMode = "release"
-
-[Log]
-# log write dir
-Dir = "logs-server"
-# log level: DEBUG INFO WARNING ERROR
-Level = "DEBUG"
-# stdout, stderr, file
-Output = "stdout"
-# # rotate by time
-# KeepHours: 4
-# # rotate by size
-# RotateNum = 3
-# # unit: MB
-# RotateSize = 256
-
-[HTTP]
-Enable = true
-# http listening address
-Host = "0.0.0.0"
-# http listening port
-Port = 10090
-# https cert file path
-CertFile = ""
-# https key file path
-KeyFile = ""
-# whether print access log
-PrintAccessLog = true
-# whether enable pprof
-PProf = false
-# http graceful shutdown timeout, unit: s
-ShutdownTimeout = 30
-# max content length: 64M
-MaxContentLength = 67108864
-# http server read timeout, unit: s
-ReadTimeout = 20
-# http server write timeout, unit: s
-WriteTimeout = 40
-# http server idle timeout, unit: s
-IdleTimeout = 120
-
-[BasicAuth]
-# using when call apis
-ibex = "ibex"
-
-[RPC]
-Listen = "0.0.0.0:20090"
-
-[Heartbeat]
-# auto detect if blank
-IP = ""
-# unit: ms
-Interval = 1000
-
-[Output]
-# database | remote
-ComeFrom = "database"
-AgtdPort = 2090
-
-[Gorm]
-# enable debug mode or not
-Debug = false
-# mysql postgres
-DBType = "postgres"
-# unit: s
-MaxLifetime = 7200
-# max open connections
-MaxOpenConns = 150
-# max idle connections
-MaxIdleConns = 50
-# table prefix
-TablePrefix = ""
-
-[MySQL]
-# mysql address host:port
-Address = "mysql:3306"
-# mysql username
-User = "root"
-# mysql password
-Password = "1234"
-# database name
-DBName = "ibex"
-# connection params
-Parameters = "charset=utf8mb4&parseTime=True&loc=Local&allowNativePasswords=true"
-
-[Postgres]
-# pg address host:port
-Address = "postgres:5432"
-# pg user
-User = "root"
-# pg password
-Password = "1234"
-# database name
-DBName = "n9e_v6"
-# ssl mode
-SSLMode = "disable"

docker/compose-postgres/initsql_for_postgres/a-n9e-for-Postgres.sql

@@ -1,26 +1,31 @@
 CREATE TABLE users (
     id bigserial,
-    username varchar(64) not null ,
-    nickname varchar(64) not null ,
+    username varchar(64) not null,
+    nickname varchar(64) not null,
     password varchar(128) not null default '',
     phone varchar(16) not null default '',
     email varchar(64) not null default '',
-    portrait varchar(255) not null default '' ,
-    roles varchar(255) not null ,
-    contacts varchar(1024) ,
-    maintainer smallint not null default 0,
+    portrait varchar(255) not null default '',
+    roles varchar(255) not null,
+    contacts varchar(1024),
+    maintainer boolean not null default false,
+    belong varchar(16) not null default '',
+    last_active_time bigint not null default 0,
     create_at bigint not null default 0,
     create_by varchar(64) not null default '',
     update_at bigint not null default 0,
     update_by varchar(64) not null default '',
     PRIMARY KEY (id),
     UNIQUE (username)
-) ;
-COMMENT ON COLUMN users.username IS 'login name, cannot rename';
+);
+
+COMMENT ON COLUMN users.id IS 'id';
+COMMENT ON COLUMN users.username IS 'login name, cannot rename';  
 COMMENT ON COLUMN users.nickname IS 'display name, chinese name';
 COMMENT ON COLUMN users.portrait IS 'portrait image url';
 COMMENT ON COLUMN users.roles IS 'Admin | Standard | Guest, split by space';
 COMMENT ON COLUMN users.contacts IS 'json e.g. {wecom:xx, dingtalk_robot_token:yy}';
+COMMENT ON COLUMN users.belong IS 'belong';
 
 insert into users(id, username, nickname, password, roles, create_at, create_by, update_at, update_by) values(1, 'root', '超管', 'root.2020', 'Admin', date_part('epoch',current_timestamp)::int, 'system', date_part('epoch',current_timestamp)::int, 'system');
 
@@ -54,9 +59,16 @@ CREATE TABLE configs (
     id bigserial,
     ckey varchar(191) not null,
     cval text not null default '',
+    note varchar(1024) not null default '',
+    external boolean not null default false,
+    encrypted boolean not null default false,
+    create_at bigint not null default 0,
+    create_by varchar(64) not null default '',
+    update_at bigint not null default 0,
+    update_by varchar(64) not null default '',
     PRIMARY KEY (id),
     UNIQUE (ckey)
-) ;
+);
 
 CREATE TABLE role (
     id bigserial,
@@ -366,32 +378,37 @@ COMMENT ON COLUMN alert_mute.disabled IS '0:enabled 1:disabled';
 CREATE TABLE alert_subscribe (
     id bigserial,
     name varchar(255) not null default '',
-    disabled smallint not null default 0 ,
-    group_id bigint not null default 0 ,
+    disabled boolean not null default false,
+    group_id bigint not null default 0,
     prod varchar(255) not null default '',
     cate varchar(128) not null,
-    datasource_ids varchar(255) not null default '' ,
+    datasource_ids varchar(255) not null default '',
     cluster varchar(128) not null,
     rule_id bigint not null default 0,
     severities varchar(32) not null default '',
     tags varchar(4096) not null default '[]',
     redefine_severity smallint default 0 ,
-    new_severity smallint not null ,
+    new_severity smallint not null,
     redefine_channels smallint default 0 ,
-    new_channels varchar(255) not null default '' ,
-    user_group_ids varchar(250) not null ,
+    new_channels varchar(255) not null default '',
+    user_group_ids varchar(250) not null,
+    busi_groups VARCHAR(4096) NOT NULL DEFAULT '[]',
+    note VARCHAR(1024) DEFAULT '',
+    rule_ids VARCHAR(1024) DEFAULT '',
     webhooks text not null,
     extra_config text not null,
-    redefine_webhooks smallint default 0,
+    redefine_webhooks boolean default false,
     for_duration bigint not null default 0,
     create_at bigint not null default 0,
     create_by varchar(64) not null default '',
     update_at bigint not null default 0,
     update_by varchar(64) not null default '',
     PRIMARY KEY (id)
-) ;
-CREATE INDEX alert_subscribe_group_id_idx ON alert_subscribe (group_id);
-CREATE INDEX alert_subscribe_update_at_idx ON alert_subscribe (update_at);
+);
+
+CREATE INDEX ON alert_subscribe (update_at);
+CREATE INDEX ON alert_subscribe (group_id);
+
 COMMENT ON COLUMN alert_subscribe.disabled IS '0:enabled 1:disabled';
 COMMENT ON COLUMN alert_subscribe.group_id IS 'busi group id';
 COMMENT ON COLUMN alert_subscribe.datasource_ids IS 'datasource ids';
@@ -401,25 +418,34 @@ COMMENT ON COLUMN alert_subscribe.new_severity IS '0:Emergency 1:Warning 2:Notic
 COMMENT ON COLUMN alert_subscribe.redefine_channels IS 'is redefine channels?';
 COMMENT ON COLUMN alert_subscribe.new_channels IS 'split by space: sms voice email dingtalk wecom';
 COMMENT ON COLUMN alert_subscribe.user_group_ids IS 'split by space 1 34 5, notify cc to user_group_ids';
+COMMENT ON COLUMN alert_subscribe.note IS 'note';
+COMMENT ON COLUMN alert_subscribe.rule_ids IS 'rule_ids';
 COMMENT ON COLUMN alert_subscribe.extra_config IS 'extra_config';
 
 
 CREATE TABLE target (
     id bigserial,
-    group_id bigint not null default 0 ,
-    ident varchar(191) not null ,
-    note varchar(255) not null default '' ,
-    tags varchar(512) not null default '' ,
+    group_id bigint not null default 0,
+    ident varchar(191) not null,
+    note varchar(255) not null default '',
+    tags varchar(512) not null default '',
+    host_ip varchar(15) default '',
+    agent_version varchar(255) default '',
+    engine_name varchar(255) default '',
     update_at bigint not null default 0,
     PRIMARY KEY (id),
     UNIQUE (ident)
-) ;
-CREATE INDEX target_group_id_idx ON target (group_id);
+);
+
+CREATE INDEX ON target (group_id);
+
 COMMENT ON COLUMN target.group_id IS 'busi group id';
 COMMENT ON COLUMN target.ident IS 'target id';
 COMMENT ON COLUMN target.note IS 'append to alert event as field';
 COMMENT ON COLUMN target.tags IS 'append to series data as tags, split by space, append external space at suffix';
-
+COMMENT ON COLUMN target.host_ip IS 'IPv4 string';
+COMMENT ON COLUMN target.agent_version IS 'agent version';
+COMMENT ON COLUMN target.engine_name IS 'engine_name';
 -- case1: target_idents; case2: target_tags
 -- CREATE TABLE collect_rule (
 --     id bigserial,
@@ -606,6 +632,7 @@ CREATE TABLE alert_his_event (
 CREATE INDEX alert_his_event_hash_idx ON alert_his_event (hash);
 CREATE INDEX alert_his_event_rule_id_idx ON alert_his_event (rule_id);
 CREATE INDEX alert_his_event_tg_idx ON alert_his_event (trigger_time, group_id);
+CREATE INDEX alert_his_event_nrn_idx ON alert_his_event (last_eval_time);
 COMMENT ON COLUMN alert_his_event.group_id IS 'busi group id of rule';
 COMMENT ON COLUMN alert_his_event.datasource_id IS 'datasource id';
 COMMENT ON COLUMN alert_his_event.group_name IS 'busi group name';
@@ -717,6 +744,7 @@ CREATE TABLE datasource
     status varchar(255) not null default '',
     http varchar(4096) not null default '',
     auth varchar(8192) not null default '',
+    is_default smallint not null default 0,
     created_at bigint not null default 0,
     created_by varchar(64) not null default '',
     updated_at bigint not null default 0,
@@ -737,17 +765,22 @@ CREATE TABLE notify_tpl (
     channel varchar(32) not null,
     name varchar(255) not null,
     content text not null,
+    create_at bigint not null default 0,
+    create_by varchar(64) not null default '',
+    update_at bigint not null default 0,
+    update_by varchar(64) not null default '',
     PRIMARY KEY (id),
     UNIQUE (channel)
-) ;
+);
 
 CREATE TABLE sso_config (
     id bigserial,
     name varchar(191) not null,
     content text not null,
+    update_at bigint not null default 0,
     PRIMARY KEY (id),
     UNIQUE (name)
-) ;
+);
 
 
 CREATE TABLE es_index_pattern (
@@ -765,3 +798,90 @@ CREATE TABLE es_index_pattern (
     UNIQUE (datasource_id, name)
 ) ;
 COMMENT ON COLUMN es_index_pattern.datasource_id IS 'datasource id';
+
+CREATE TABLE builtin_metrics (
+  id bigserial,
+  collector varchar(191) NOT NULL,
+  typ varchar(191) NOT NULL,
+  name varchar(191) NOT NULL,
+  unit varchar(191) NOT NULL,
+  lang varchar(191) NOT NULL DEFAULT '',
+  note varchar(4096) NOT NULL,
+  expression varchar(4096) NOT NULL,
+  created_at bigint NOT NULL DEFAULT 0,
+  created_by varchar(191) NOT NULL DEFAULT '',
+  updated_at bigint NOT NULL DEFAULT 0,
+  updated_by varchar(191) NOT NULL DEFAULT '',
+  PRIMARY KEY (id),
+  UNIQUE (lang, collector, typ, name)
+);
+
+CREATE INDEX idx_collector ON builtin_metrics (collector);
+CREATE INDEX idx_typ ON builtin_metrics (typ);
+CREATE INDEX idx_name ON builtin_metrics (name);
+CREATE INDEX idx_lang ON builtin_metrics (lang);
+
+COMMENT ON COLUMN builtin_metrics.id IS 'unique identifier';
+COMMENT ON COLUMN builtin_metrics.collector IS 'type of collector';
+COMMENT ON COLUMN builtin_metrics.typ IS 'type of metric';
+COMMENT ON COLUMN builtin_metrics.name IS 'name of metric';
+COMMENT ON COLUMN builtin_metrics.unit IS 'unit of metric';
+COMMENT ON COLUMN builtin_metrics.lang IS 'language of metric';
+COMMENT ON COLUMN builtin_metrics.note IS 'description of metric in Chinese';
+COMMENT ON COLUMN builtin_metrics.expression IS 'expression of metric';
+COMMENT ON COLUMN builtin_metrics.created_at IS 'create time';
+COMMENT ON COLUMN builtin_metrics.created_by IS 'creator';
+COMMENT ON COLUMN builtin_metrics.updated_at IS 'update time';
+COMMENT ON COLUMN builtin_metrics.updated_by IS 'updater';
+
+CREATE TABLE metric_filter (
+  id BIGSERIAL PRIMARY KEY,
+  name VARCHAR(191) NOT NULL,
+  configs VARCHAR(4096) NOT NULL,
+  groups_perm TEXT,
+  create_at BIGINT NOT NULL DEFAULT 0,
+  create_by VARCHAR(191) NOT NULL DEFAULT '',
+  update_at BIGINT NOT NULL DEFAULT 0,
+  update_by VARCHAR(191) NOT NULL DEFAULT ''
+);
+
+CREATE INDEX idx_name ON metric_filter (name);
+
+CREATE TABLE board_busigroup (
+  busi_group_id BIGINT NOT NULL DEFAULT 0,
+  board_id BIGINT NOT NULL DEFAULT 0,
+  PRIMARY KEY (busi_group_id, board_id)
+);
+
+
+CREATE TABLE builtin_components (
+  id BIGSERIAL PRIMARY KEY,
+  ident VARCHAR(191) NOT NULL,
+  logo VARCHAR(191) NOT NULL,
+  readme TEXT NOT NULL,
+  created_at BIGINT NOT NULL DEFAULT 0,
+  created_by VARCHAR(191) NOT NULL DEFAULT '',
+  updated_at BIGINT NOT NULL DEFAULT 0,
+  updated_by VARCHAR(191) NOT NULL DEFAULT ''
+);
+
+CREATE INDEX idx_ident ON builtin_components (ident);
+
+CREATE TABLE builtin_payloads (
+  id BIGSERIAL PRIMARY KEY,
+  type VARCHAR(191) NOT NULL,
+  component VARCHAR(191) NOT NULL,
+  cate VARCHAR(191) NOT NULL,
+  name VARCHAR(191) NOT NULL,
+  tags VARCHAR(191) NOT NULL DEFAULT '',
+  content TEXT NOT NULL,
+  created_at BIGINT NOT NULL DEFAULT 0,
+  created_by VARCHAR(191) NOT NULL DEFAULT '',
+  updated_at BIGINT NOT NULL DEFAULT 0,
+  updated_by VARCHAR(191) NOT NULL DEFAULT ''
+);
+
+CREATE INDEX idx_component ON builtin_payloads (component);
+CREATE INDEX idx_name ON builtin_payloads (name);
+CREATE INDEX idx_cate ON builtin_payloads (cate);
+CREATE INDEX idx_type ON builtin_payloads (type);

docker/compose-postgres/n9eetc_pg/config.toml

@@ -55,8 +55,6 @@ Enable = true
 user001 = "ccc26da7b9aba533cbb263a36c07dcc5"
 
 [HTTP.JWTAuth]
-# signing key
-SigningKey = "5b94a0fd640fe2765af826acfe42d151"
 # unit: min
 AccessExpired = 1500
 # unit: min
@@ -92,8 +90,6 @@ MaxLifetime = 7200
 MaxOpenConns = 150
 # max idle connections
 MaxIdleConns = 50
-# table prefix
-TablePrefix = ""
 # enable auto migrate or not
 # EnableAutoMigrate = false
 
@@ -177,3 +173,7 @@ MaxIdleConnsPerHost = 100
 # Regex = "([^:]+)(?::\\d+)?"
 # Replacement = "$1:80"
 # TargetLabel = "__address__"
+
+[Ibex]
+Enable = true
+RPCListen = "0.0.0.0:20090"

docker/migratesql/migrate.sql

@@ -1,40 +1,77 @@
-use n9e_v6;
+/* v7.0.0-beta.3 */
+CREATE TABLE `builtin_metrics` (
+    `id` bigint unsigned NOT NULL AUTO_INCREMENT COMMENT 'unique identifier',
+    `collector` varchar(191) NOT NULL COMMENT 'type of collector',
+    `typ` varchar(191) NOT NULL COMMENT 'type of metric',
+    `name` varchar(191) NOT NULL COMMENT 'name of metric',
+    `unit` varchar(191) NOT NULL COMMENT 'unit of metric',
+    `lang` varchar(191) NOT NULL DEFAULT '' COMMENT 'language of metric',
+    `note` varchar(4096) NOT NULL COMMENT 'description of metric in Chinese',
+    `expression` varchar(4096) NOT NULL COMMENT 'expression of metric',
+    `created_at` bigint NOT NULL DEFAULT 0 COMMENT 'create time',
+    `created_by` varchar(191) NOT NULL DEFAULT '' COMMENT 'creator',
+    `updated_at` bigint NOT NULL DEFAULT 0 COMMENT 'update time',
+    `updated_by` varchar(191) NOT NULL DEFAULT '' COMMENT 'updater',
+    PRIMARY KEY (`id`),
+    UNIQUE KEY `idx_collector_typ_name` (`lang`,`collector`, `typ`, `name`),
+    INDEX `idx_collector` (`collector`),
+    INDEX `idx_typ` (`typ`),
+    INDEX `idx_name` (`name`),
+    INDEX `idx_lang` (`lang`)
+) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
 
--- Alter table for AlertSubscribe
-ALTER TABLE alert_subscribe ADD COLUMN busi_groups VARCHAR(4096) NOT NULL DEFAULT '[]';
-ALTER TABLE alert_subscribe ADD COLUMN note VARCHAR(1024) DEFAULT '' COMMENT 'note';
-ALTER TABLE alert_subscribe ADD COLUMN rule_ids VARCHAR(1024) DEFAULT '' COMMENT 'rule_ids';
+CREATE TABLE `metric_filter` (
+  `id` bigint NOT NULL AUTO_INCREMENT COMMENT 'unique identifier',
+  `name` varchar(191) NOT NULL COMMENT 'name of metric filter',
+  `configs` varchar(4096) NOT NULL COMMENT 'configuration of metric filter',
+  `groups_perm` text,
+  `create_at` bigint NOT NULL DEFAULT '0' COMMENT 'create time',
+  `create_by` varchar(191) NOT NULL DEFAULT '' COMMENT 'creator',
+  `update_at` bigint NOT NULL DEFAULT '0' COMMENT 'update time',
+  `update_by` varchar(191) NOT NULL DEFAULT '' COMMENT 'updater',
+  PRIMARY KEY (`id`),
+  KEY `idx_name` (`name`)
+) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
 
--- Alter table for TaskRecord
-ALTER TABLE task_record ADD COLUMN event_id BIGINT(20) NOT NULL DEFAULT 0 COMMENT 'event id';
 
--- Alter table for AlertHisEvent
-CREATE INDEX idx_last_eval_time ON alert_his_event (last_eval_time);
+CREATE TABLE `board_busigroup` (
+  `busi_group_id` bigint(20) NOT NULL DEFAULT '0' COMMENT 'busi group id',
+  `board_id` bigint(20) NOT NULL DEFAULT '0' COMMENT 'board id',
+  PRIMARY KEY (`busi_group_id`, `board_id`)
+) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
 
--- Alter table for Target
-ALTER TABLE target ADD COLUMN host_ip VARCHAR(15) DEFAULT '' COMMENT 'IPv4 string';
-ALTER TABLE target ADD COLUMN agent_version VARCHAR(255) DEFAULT '' COMMENT 'agent version';
-ALTER TABLE target ADD COLUMN engine_name VARCHAR(255) DEFAULT '' COMMENT 'engine_name';
+/* v7.0.0-beta.6 */
+CREATE TABLE `builtin_components` (
+  `id` bigint(20) NOT NULL AUTO_INCREMENT COMMENT '''unique identifier''',
+  `ident` varchar(191) NOT NULL COMMENT '''identifier of component''',
+  `logo` varchar(191) NOT NULL COMMENT '''logo of component''',
+  `readme` text NOT NULL COMMENT '''readme of component''',
+  `created_at` bigint(20) NOT NULL DEFAULT 0 COMMENT '''create time''',
+  `created_by` varchar(191) NOT NULL DEFAULT '' COMMENT '''creator''',
+  `updated_at` bigint(20) NOT NULL DEFAULT 0 COMMENT '''update time''',
+  `updated_by` varchar(191) NOT NULL DEFAULT '' COMMENT '''updater''',
+  PRIMARY KEY (`id`),
+  KEY `idx_ident` (`ident`)
+) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
 
--- Alter table for Datasource
-ALTER TABLE datasource ADD COLUMN is_default TINYINT NOT NULL DEFAULT 0 COMMENT 'is default datasource';
+CREATE TABLE `builtin_payloads` (
+  `id` bigint(20) NOT NULL AUTO_INCREMENT COMMENT '''unique identifier''',
+  `type` varchar(191) NOT NULL COMMENT '''type of payload''',
+  `component` varchar(191) NOT NULL COMMENT '''component of payload''',
+  `cate` varchar(191) NOT NULL COMMENT '''category of payload''',
+  `name` varchar(191) NOT NULL COMMENT '''name of payload''',
+  `tags` varchar(191) NOT NULL DEFAULT '' COMMENT '''tags of payload''',
+  `content` longtext NOT NULL COMMENT '''content of payload''',
+  `created_at` bigint(20) NOT NULL DEFAULT 0 COMMENT '''create time''',
+  `created_by` varchar(191) NOT NULL DEFAULT '' COMMENT '''creator''',
+  `updated_at` bigint(20) NOT NULL DEFAULT 0 COMMENT '''update time''',
+  `updated_by` varchar(191) NOT NULL DEFAULT '' COMMENT '''updater''',
+  PRIMARY KEY (`id`),
+  KEY `idx_component` (`component`),
+  KEY `idx_name` (`name`),
+  KEY `idx_cate` (`cate`),
+  KEY `idx_type` (`type`)
+) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
 
--- Alter table for Configs
-ALTER TABLE configs ADD COLUMN note VARCHAR(1024) DEFAULT '' COMMENT 'note';
-ALTER TABLE configs ADD COLUMN external INT DEFAULT 0 COMMENT '0: built-in 1: external';
-ALTER TABLE configs ADD COLUMN encrypted INT DEFAULT 0 COMMENT '0: plaintext 1: ciphertext';
-ALTER TABLE configs ADD COLUMN create_at INT DEFAULT 0 COMMENT 'create_at';
-ALTER TABLE configs ADD COLUMN create_by VARCHAR(64) DEFAULT '' COMMENT 'create_by';
-ALTER TABLE configs ADD COLUMN update_at INT DEFAULT 0 COMMENT 'update_at';
-ALTER TABLE configs ADD COLUMN update_by VARCHAR(64) DEFAULT '' COMMENT 'update_by';
-ALTER TABLE configs DROP INDEX ckey;
-
-ALTER TABLE notify_tpl ADD COLUMN create_at INT DEFAULT 0 COMMENT 'create_at';
-ALTER TABLE notify_tpl ADD COLUMN create_by VARCHAR(64) DEFAULT '' COMMENT 'create_by';
-ALTER TABLE notify_tpl ADD COLUMN update_at INT DEFAULT 0 COMMENT 'update_at';
-ALTER TABLE notify_tpl ADD COLUMN update_by VARCHAR(64) DEFAULT '' COMMENT 'update_by';
-
--- Alter table for Users
-ALTER TABLE users ADD COLUMN belong VARCHAR(16) DEFAULT '' COMMENT 'belong';
-
-ALTER TABLE `sso_config` ADD COLUMN `update_at` INT NOT NULL DEFAULT 0 COMMENT 'update_at';
+/* v7.0.0-beta.7 */
+ALTER TABLE users ADD COLUMN last_active_time BIGINT NOT NULL DEFAULT 0;

etc/config.toml

@@ -27,7 +27,7 @@ KeyFile = ""
 # whether print access log
 PrintAccessLog = false
 # whether enable pprof
-PProf = false
+PProf = true
 # expose prometheus /metrics?
 ExposeMetrics = true
 # http graceful shutdown timeout, unit: s
@@ -55,8 +55,6 @@ Enable = true
 user001 = "ccc26da7b9aba533cbb263a36c07dcc5"
 
 [HTTP.JWTAuth]
-# signing key
-SigningKey = "5b94a0fd640fe2765af826acfe42d151"
 # unit: min
 AccessExpired = 1500
 # unit: min
@@ -88,8 +86,6 @@ MaxLifetime = 7200
 MaxOpenConns = 150
 # max idle connections
 MaxIdleConns = 50
-# table prefix
-TablePrefix = ""
 # enable auto migrate or not
 # EnableAutoMigrate = false
 
@@ -167,9 +163,13 @@ MaxIdleConnsPerHost = 100
 # TLSCert = "/etc/n9e/cert.pem"
 # TLSKey = "/etc/n9e/key.pem"
 # InsecureSkipVerify = false
-# [[Writers.WriteRelabels]]
+# [[Pushgw.Writers.WriteRelabels]]
 # Action = "replace"
 # SourceLabels = ["__address__"]
 # Regex = "([^:]+)(?::\\d+)?"
 # Replacement = "$1:80"
 # TargetLabel = "__address__"
+
+[Ibex]
+Enable = false
+RPCListen = "0.0.0.0:20090"

etc/edge/edge.toml

@@ -116,6 +116,12 @@ MaxIdleConnsPerHost = 100
 # Replacement = "$1:80"
 # TargetLabel = "__address__"
 
+[Ibex]
+Enable = false
+RPCListen = "0.0.0.0:20090"
+
+# n9e-edge cannot directly reuse the redis that n9e relies on at the center.
+# It needs to deploy a separate redis in the edge region for n9e-edge to use.
 [Redis]
 # address, ip:port or ip1:port,ip2:port for cluster and sentinel(SentinelAddrs)
 Address = "127.0.0.1:6379"
@@ -129,4 +135,4 @@ RedisType = "standalone"
 # Mastername for sentinel type
 # MasterName = "mymaster"
 # SentinelUsername = ""
-# SentinelPassword = ""
+# SentinelPassword = ""

go.mod

@@ -8,6 +8,7 @@ require (
 	github.com/davecgh/go-spew v1.1.2-0.20180830191138-d8f796af33cc
 	github.com/dgrijalva/jwt-go v3.2.0+incompatible
 	github.com/expr-lang/expr v1.16.1
+	github.com/flashcatcloud/ibex v1.3.3
 	github.com/gin-contrib/pprof v1.4.0
 	github.com/gin-gonic/gin v1.9.1
 	github.com/go-ldap/ldap/v3 v3.4.4
@@ -32,6 +33,7 @@ require (
 	github.com/spaolacci/murmur3 v1.1.0
 	github.com/tidwall/gjson v1.14.0
 	github.com/toolkits/pkg v1.3.6
+	golang.org/x/exp v0.0.0-20230713183714-613f0c0eb8a1
 	golang.org/x/oauth2 v0.10.0
 	gopkg.in/gomail.v2 v2.0.0-20160411212932-81ebce5c23df
 	gopkg.in/yaml.v2 v2.4.0
@@ -46,12 +48,15 @@ require (
 	github.com/bytedance/sonic v1.9.1 // indirect
 	github.com/cespare/xxhash/v2 v2.2.0 // indirect
 	github.com/chenzhuoyu/base64x v0.0.0-20221115062448-fe3a3abad311 // indirect
+	github.com/dennwc/varint v1.0.0 // indirect
 	github.com/dgryski/go-rendezvous v0.0.0-20200823014737-9f7001d12a5f // indirect
 	github.com/fatih/camelcase v1.0.0 // indirect
 	github.com/fatih/structs v1.1.0 // indirect
 	github.com/gabriel-vasile/mimetype v1.4.2 // indirect
 	github.com/gin-contrib/sse v0.1.0 // indirect
 	github.com/go-asn1-ber/asn1-ber v1.5.4 // indirect
+	github.com/go-kit/log v0.2.1 // indirect
+	github.com/go-logfmt/logfmt v0.6.0 // indirect
 	github.com/go-playground/locales v0.14.1 // indirect
 	github.com/go-playground/universal-translator v0.18.1 // indirect
 	github.com/go-playground/validator/v10 v10.14.0 // indirect
@@ -82,12 +87,13 @@ require (
 	github.com/tidwall/pretty v1.2.0 // indirect
 	github.com/twitchyliquid64/golang-asm v0.15.1 // indirect
 	github.com/ugorji/go/codec v1.2.11 // indirect
+	go.uber.org/atomic v1.11.0 // indirect
 	go.uber.org/automaxprocs v1.5.2 // indirect
 	golang.org/x/arch v0.3.0 // indirect
-	golang.org/x/crypto v0.17.0 // indirect
+	golang.org/x/crypto v0.21.0 // indirect
 	golang.org/x/image v0.13.0 // indirect
-	golang.org/x/net v0.17.0 // indirect
-	golang.org/x/sys v0.15.0 // indirect
+	golang.org/x/net v0.23.0 // indirect
+	golang.org/x/sys v0.18.0 // indirect
 	golang.org/x/text v0.14.0 // indirect
 	google.golang.org/appengine v1.6.7 // indirect
 	google.golang.org/protobuf v1.33.0 // indirect

go.sum

@@ -1,9 +1,16 @@
+github.com/Azure/azure-sdk-for-go v65.0.0+incompatible h1:HzKLt3kIwMm4KeJYTdx9EbjRYTySD/t8i1Ee/W5EGXw=
+github.com/Azure/azure-sdk-for-go/sdk/azcore v1.7.0 h1:8q4SaHjFsClSvuVne0ID/5Ka8u3fcIHyqkLjcFpNRHQ=
+github.com/Azure/azure-sdk-for-go/sdk/azidentity v1.3.0 h1:vcYCAze6p19qBW7MhZybIsqD8sMV8js0NyQM8JDnVtg=
+github.com/Azure/azure-sdk-for-go/sdk/internal v1.3.0 h1:sXr+ck84g/ZlZUOZiNELInmMgOsuGwdjjVkEIde0OtY=
 github.com/Azure/go-ntlmssp v0.0.0-20220621081337-cb9428e4ac1e h1:NeAW1fUYUEWhft7pkxDf6WoUvEZJ/uOKsvtpjLnn8MU=
 github.com/Azure/go-ntlmssp v0.0.0-20220621081337-cb9428e4ac1e/go.mod h1:chxPXzSsl7ZWRAuOIE23GDNzjWuZquvFlgA8xmpunjU=
+github.com/AzureAD/microsoft-authentication-library-for-go v1.0.0 h1:OBhqkivkhkMqLPymWEppkm7vgPQY2XsHoEkaMQ0AdZY=
 github.com/BurntSushi/toml v0.3.1 h1:WXkYYl6Yr3qBf1K79EBnL4mak0OimBfB0XUf9Vl28OQ=
 github.com/BurntSushi/toml v0.3.1/go.mod h1:xHWCNGjB5oqiDr8zfno3MHue2Ht5sIBksp03qcyfWMU=
 github.com/Masterminds/semver/v3 v3.1.1 h1:hLg3sBzpNErnxhQtUy/mmLR2I9foDujNK030IGemrRc=
 github.com/Masterminds/semver/v3 v3.1.1/go.mod h1:VPu/7SZ7ePZ3QOrcuXROw5FAcLl4a0cBrbBpGY/8hQs=
+github.com/alecthomas/units v0.0.0-20211218093645-b94a6e3cc137 h1:s6gZFSlWYmbqAuRjVTiNNhvNRfY2Wxp9nhfyel4rklc=
+github.com/aws/aws-sdk-go v1.44.302 h1:ST3ko6GrJKn3Xi+nAvxjG3uk/V1pW8KC52WLeIxqqNk=
 github.com/beorn7/perks v1.0.1 h1:VlbKKnNfV8bJzeqoa4cOKqO6bYr3WgKZxO8Z16+hsOM=
 github.com/beorn7/perks v1.0.1/go.mod h1:G2ZrVWU2WbWT9wwq4/hrbKbnv/1ERSJQ0ibhJ6rlkpw=
 github.com/bsm/ginkgo/v2 v2.5.0 h1:aOAnND1T40wEdAtkGSkvSICWeQ8L3UASX7YVCqQx+eQ=
@@ -28,6 +35,8 @@ github.com/davecgh/go-spew v1.1.0/go.mod h1:J7Y8YcW2NihsgmVo/mv3lAwl/skON4iLHjSs
 github.com/davecgh/go-spew v1.1.1/go.mod h1:J7Y8YcW2NihsgmVo/mv3lAwl/skON4iLHjSsI+c5H38=
 github.com/davecgh/go-spew v1.1.2-0.20180830191138-d8f796af33cc h1:U9qPSI2PIWSS1VwoXQT9A3Wy9MM3WgvqSxFWenqJduM=
 github.com/davecgh/go-spew v1.1.2-0.20180830191138-d8f796af33cc/go.mod h1:J7Y8YcW2NihsgmVo/mv3lAwl/skON4iLHjSsI+c5H38=
+github.com/dennwc/varint v1.0.0 h1:kGNFFSSw8ToIy3obO/kKr8U9GZYUAxQEVuix4zfDWzE=
+github.com/dennwc/varint v1.0.0/go.mod h1:hnItb35rvZvJrbTALZtY/iQfDs48JKRG1RPpgziApxA=
 github.com/dgrijalva/jwt-go v3.2.0+incompatible h1:7qlOGliEKZXTDg6OTjfoBKDXWrumCAMpl/TFQ4/5kLM=
 github.com/dgrijalva/jwt-go v3.2.0+incompatible/go.mod h1:E3ru+11k8xSBh+hMPgOLZmtrrCbhqsmaPHjLKYnJCaQ=
 github.com/dgryski/go-rendezvous v0.0.0-20200823014737-9f7001d12a5f h1:lO4WD4F/rVNCu3HqELle0jiPLLBs70cWOduZpkS1E78=
@@ -38,6 +47,8 @@ github.com/fatih/camelcase v1.0.0 h1:hxNvNX/xYBp0ovncs8WyWZrOrpBNub/JfaMvbURyft8
 github.com/fatih/camelcase v1.0.0/go.mod h1:yN2Sb0lFhZJUdVvtELVWefmrXpuZESvPmqwoZc+/fpc=
 github.com/fatih/structs v1.1.0 h1:Q7juDM0QtcnhCpeyLGQKyg4TOIghuNXrkL32pHAUMxo=
 github.com/fatih/structs v1.1.0/go.mod h1:9NiDSp5zOcgEDl+j00MP/WkGVPOlPRLejGD8Ga6PJ7M=
+github.com/flashcatcloud/ibex v1.3.3 h1:1Bxk5sgpsq4+e9bMchucGttg8Sw4KEpZy9tctFfj/cE=
+github.com/flashcatcloud/ibex v1.3.3/go.mod h1:T8hbMUySK2q6cXUaYp0AUVeKkU9Od2LjzwmB5lmTRBM=
 github.com/gabriel-vasile/mimetype v1.4.2 h1:w5qFW6JKBz9Y393Y4q372O9A7cUSequkh1Q7OhCmWKU=
 github.com/gabriel-vasile/mimetype v1.4.2/go.mod h1:zApsH/mKG4w07erKIaJPFiX0Tsq9BFQgN3qGY5GnNgA=
 github.com/garyburd/redigo v1.6.2/go.mod h1:NR3MbYisc3/PwhQ00EMzDiPmrwpPxAn5GI05/YaO1SY=
@@ -51,9 +62,13 @@ github.com/gin-gonic/gin v1.9.1/go.mod h1:hPrL7YrpYKXt5YId3A/Tnip5kqbEAP+KLuI3SU
 github.com/go-asn1-ber/asn1-ber v1.5.4 h1:vXT6d/FNDiELJnLb6hGNa309LMsrCoYFvpwHDF0+Y1A=
 github.com/go-asn1-ber/asn1-ber v1.5.4/go.mod h1:hEBeB/ic+5LoWskz+yKT7vGhhPYkProFKoKdwZRWMe0=
 github.com/go-kit/log v0.1.0/go.mod h1:zbhenjAZHb184qTLMA9ZjW7ThYL0H2mk7Q6pNt4vbaY=
+github.com/go-kit/log v0.2.1 h1:MRVx0/zhvdseW+Gza6N9rVzU/IVzaeE1SFI4raAhmBU=
+github.com/go-kit/log v0.2.1/go.mod h1:NwTd00d/i8cPZ3xOwwiv2PO5MOcx78fFErGNcVmBjv0=
 github.com/go-ldap/ldap/v3 v3.4.4 h1:qPjipEpt+qDa6SI/h1fzuGWoRUY+qqQ9sOZq67/PYUs=
 github.com/go-ldap/ldap/v3 v3.4.4/go.mod h1:fe1MsuN5eJJ1FeLT/LEBVdWfNWKh459R7aXgXtJC+aI=
 github.com/go-logfmt/logfmt v0.5.0/go.mod h1:wCYkCAKZfumFQihp8CzCvQ3paCTfi41vtzG1KdI/P7A=
+github.com/go-logfmt/logfmt v0.6.0 h1:wGYYu3uicYdqXVgoYbvnkrPVXkuLM1p1ifugDMEdRi4=
+github.com/go-logfmt/logfmt v0.6.0/go.mod h1:WYhtIu8zTZfxdn5+rREduYbwxfcBr/Vr6KEVveWlfTs=
 github.com/go-playground/assert/v2 v2.0.1/go.mod h1:VDjEfimB/XKnb+ZQfWdccd7VUvScMdVu0Titje2rxJ4=
 github.com/go-playground/assert/v2 v2.2.0 h1:JvknZsQTYeFEAhQwI4qEt9cyV5ONwRHC+lYKSsYSR8s=
 github.com/go-playground/assert/v2 v2.2.0/go.mod h1:VDjEfimB/XKnb+ZQfWdccd7VUvScMdVu0Titje2rxJ4=
@@ -78,6 +93,7 @@ github.com/gogo/protobuf v1.3.2 h1:Ov1cvc58UF3b5XjBnZv7+opcTcQFZebYjWzi34vdm4Q=
 github.com/gogo/protobuf v1.3.2/go.mod h1:P1XiOD3dCwIKUDQYPy72D8LYyHL2YPYrpS2s69NZV8Q=
 github.com/golang-jwt/jwt v3.2.2+incompatible h1:IfV12K8xAKAnZqdXVzCZ+TOjboZ2keLg81eXfW3O+oY=
 github.com/golang-jwt/jwt v3.2.2+incompatible/go.mod h1:8pz2t5EyA70fFQQSrl6XZXzqecmYZeUEB8OUGHkxJ+I=
+github.com/golang-jwt/jwt/v4 v4.5.0 h1:7cYmW1XlMY7h7ii7UhUyChSgS5wUJEnm9uZVTGqOWzg=
 github.com/golang/freetype v0.0.0-20170609003504-e2365dfdc4a0 h1:DACJavvAHhabrF08vX0COfcOBJRhZ8lUbR+ZWIs0Y5g=
 github.com/golang/freetype v0.0.0-20170609003504-e2365dfdc4a0/go.mod h1:E/TSTwGwJL78qG/PmXZO1EjYhfJinVAhrmmHX6Z8B9k=
 github.com/golang/protobuf v1.2.0/go.mod h1:6lQm79b+lXiMfvg/cZm0SGofjICqVBUtrP5yJMmIC1U=
@@ -149,12 +165,15 @@ github.com/jinzhu/inflection v1.0.0/go.mod h1:h+uFLlag+Qp1Va5pdKtLDYj+kHp5pxUVkr
 github.com/jinzhu/now v1.1.4/go.mod h1:d3SSVoowX0Lcu0IBviAWJpolVfI5UJVZZ7cO71lE/z8=
 github.com/jinzhu/now v1.1.5 h1:/o9tlHleP7gOFmsnYNz3RGnqzefHA47wQpKrrdTIwXQ=
 github.com/jinzhu/now v1.1.5/go.mod h1:d3SSVoowX0Lcu0IBviAWJpolVfI5UJVZZ7cO71lE/z8=
+github.com/jmespath/go-jmespath v0.4.0 h1:BEgLn5cpjn8UN1mAw4NjwDrS35OdebyEtFe+9YPoQUg=
 github.com/josharian/intern v1.0.0 h1:vlS4z54oSdjm0bgjRigI+G1HpF+tI+9rE5LLzOg8HmY=
 github.com/josharian/intern v1.0.0/go.mod h1:5DoeVV0s6jJacbCEi61lwdGj/aVlrQvzHFFd8Hwg//Y=
+github.com/jpillora/backoff v1.0.0 h1:uvFg412JmmHBHw7iwprIxkPMI+sGQ4kzOWsMeHnm2EA=
 github.com/json-iterator/go v1.1.12 h1:PV8peI4a0ysnczrg+LtxykD8LfKY9ML6u2jnxaEnrnM=
 github.com/json-iterator/go v1.1.12/go.mod h1:e30LSqwooZae/UwlEbR2852Gd8hjQvJoHmT4TnhNGBo=
 github.com/kisielk/errcheck v1.5.0/go.mod h1:pFxgyoBC7bSaBwPgfKdkLd5X25qrDl4LWUI2bnpBCr8=
 github.com/kisielk/gotool v1.0.0/go.mod h1:XhKaO+MFFWcvkIS/tQcRk01m1F5IRFswLeQ+oQHNcck=
+github.com/klauspost/compress v1.16.7 h1:2mk3MPGNzKyxErAw8YaohYh69+pa4sIQSC0fPGCFR9I=
 github.com/klauspost/cpuid/v2 v2.0.9/go.mod h1:FInQzS24/EEf25PyTYn52gqo7WaD8xa0213Md/qVLRg=
 github.com/klauspost/cpuid/v2 v2.2.4 h1:acbojRNwl3o09bUq+yDCtZFc1aiwaAAxtcn8YkZXnvk=
 github.com/klauspost/cpuid/v2 v2.2.4/go.mod h1:RVVoqg1df56z8g3pUjL/3lE5UfnlrJX8tyFgg4nqhuY=
@@ -171,6 +190,7 @@ github.com/kr/pty v1.1.8/go.mod h1:O1sed60cT9XZ5uDucP5qwvh+TE3NnUj51EiZO/lmSfw=
 github.com/kr/text v0.1.0/go.mod h1:4Jbv+DJW3UT/LiOwJeYQe1efqtUx/iVham/4vfdArNI=
 github.com/kr/text v0.2.0 h1:5Nx0Ya0ZqY2ygV366QzturHI13Jq95ApcVaJBhpS+AY=
 github.com/kr/text v0.2.0/go.mod h1:eLer722TekiGuMkidMxC/pM04lWEeraHUUmBw8l2grE=
+github.com/kylelemons/godebug v1.1.0 h1:RPNrshWIDI6G2gRW9EHilWtl7Z6Sb1BR0xunSBf0SNc=
 github.com/leodido/go-urn v1.2.1/go.mod h1:zt4jvISO2HfUBqxjfIshjdMTYS56ZS/qv49ictyFfxY=
 github.com/leodido/go-urn v1.2.4 h1:XlAE/cm/ms7TE/VMVoduSpNBoyc2dOxHs5MZSwAN63Q=
 github.com/leodido/go-urn v1.2.4/go.mod h1:7ZrI8mTSeBSHl/UaRyKQW1qZeMgak41ANeCNaVckg+4=
@@ -198,9 +218,12 @@ github.com/modern-go/reflect2 v1.0.2 h1:xBagoLtFs94CBntxluKeaWgTMpvLxC4ur3nMaC9G
 github.com/modern-go/reflect2 v1.0.2/go.mod h1:yWuevngMOJpCy52FWWMvUC8ws7m/LJsjYzDa0/r8luk=
 github.com/mojocn/base64Captcha v1.3.6 h1:gZEKu1nsKpttuIAQgWHO+4Mhhls8cAKyiV2Ew03H+Tw=
 github.com/mojocn/base64Captcha v1.3.6/go.mod h1:i5CtHvm+oMbj1UzEPXaA8IH/xHFZ3DGY3Wh3dBpZ28E=
+github.com/mwitkow/go-conntrack v0.0.0-20190716064945-2f068394615f h1:KUppIJq7/+SVif2QVs3tOP0zanoHgBEVAwHxUSIzRqU=
+github.com/oklog/ulid v1.3.1 h1:EGfNDEx6MqHz8B3uNV6QAib1UR2Lm97sHi3ocA6ESJ4=
 github.com/pelletier/go-toml/v2 v2.0.1/go.mod h1:r9LEWfGN8R5k0VXJ+0BkIe7MYkRdwZOjgMj2KwnJFUo=
 github.com/pelletier/go-toml/v2 v2.0.8 h1:0ctb6s9mE31h0/lhu+J6OPmVeDxJn+kYnJc2jZR9tGQ=
 github.com/pelletier/go-toml/v2 v2.0.8/go.mod h1:vuYfssBdrU2XDZ9bYydBu6t+6a6PYNcZljzZR9VXg+4=
+github.com/pkg/browser v0.0.0-20210911075715-681adbf594b8 h1:KoWmjvw+nsYOo29YJK9vDA65RGE3NrOnUtO7a+RF9HU=
 github.com/pkg/diff v0.0.0-20210226163009-20ebb0f2a09e/go.mod h1:pJLUxLENpZxwdsKMEsNbx1VGcRFpLqf3715MtcvvzbA=
 github.com/pkg/errors v0.8.1/go.mod h1:bwawxfHBFNV+L2hUp1rHADufV3IMtnDRdf1r5NINEl0=
 github.com/pkg/errors v0.9.1 h1:FEBLx1zS214owpjy7qsBeixbURkuhQAwrK5UwLGTwt4=
@@ -216,6 +239,7 @@ github.com/prometheus/client_model v0.4.0 h1:5lQXD3cAg1OXBf4Wq03gTrXHeaV0TQvGfUo
 github.com/prometheus/client_model v0.4.0/go.mod h1:oMQmHW1/JoDwqLtg57MGgP/Fb1CJEYF2imWWhWtMkYU=
 github.com/prometheus/common v0.44.0 h1:+5BrQJwiBB9xsMygAB3TNvpQKOwlkc25LbISbrdOOfY=
 github.com/prometheus/common v0.44.0/go.mod h1:ofAIvZbQ1e/nugmZGz4/qCb9Ap1VoSTIO7x0VV9VvuY=
+github.com/prometheus/common/sigv4 v0.1.0 h1:qoVebwtwwEhS85Czm2dSROY5fTo2PAPEVdDeppTwGX4=
 github.com/prometheus/procfs v0.11.0 h1:5EAgkfkMl659uZPbe9AS2N68a7Cc1TJbPEuGzFuRbyk=
 github.com/prometheus/procfs v0.11.0/go.mod h1:nwNm2aOCAYw8uTR/9bWRREkZFxAUcWzPHWJq+XBB/FM=
 github.com/prometheus/prometheus v0.47.1 h1:bd2LiZyxzHn9Oo2Ei4eK2D86vz/L/OiqR1qYo0XmMBo=
@@ -280,9 +304,12 @@ go.uber.org/atomic v1.3.2/go.mod h1:gD2HeocX3+yG+ygLZcrzQJaqmWj9AIm7n08wl/qW/PE=
 go.uber.org/atomic v1.4.0/go.mod h1:gD2HeocX3+yG+ygLZcrzQJaqmWj9AIm7n08wl/qW/PE=
 go.uber.org/atomic v1.5.0/go.mod h1:sABNBOSYdrvTF6hTgEIbc7YasKWGhgEQZyfxyTvoXHQ=
 go.uber.org/atomic v1.6.0/go.mod h1:sABNBOSYdrvTF6hTgEIbc7YasKWGhgEQZyfxyTvoXHQ=
+go.uber.org/atomic v1.11.0 h1:ZvwS0R+56ePWxUNi+Atn9dWONBPp/AUETXlHW0DxSjE=
+go.uber.org/atomic v1.11.0/go.mod h1:LUxbIzbOniOlMKjJjyPfpl4v+PKK2cNJn91OQbhoJI0=
 go.uber.org/automaxprocs v1.4.0/go.mod h1:/mTEdr7LvHhs0v7mjdxDreTz1OG5zdZGqgOnhWiR/+Q=
 go.uber.org/automaxprocs v1.5.2 h1:2LxUOGiR3O6tw8ui5sZa2LAaHnsviZdVOUZw4fvbnME=
 go.uber.org/automaxprocs v1.5.2/go.mod h1:eRbA25aqJrxAbsLO0xy5jVwPt7FQnRgjW+efnwa1WM0=
+go.uber.org/goleak v1.2.1 h1:NBol2c7O1ZokfZ0LEU9K6Whx/KnwvepVetCUhtKja4A=
 go.uber.org/multierr v1.1.0/go.mod h1:wR5kodmAFQ0UK8QlbwjlSNy0Z68gJhDJUG5sjR94q/0=
 go.uber.org/multierr v1.3.0/go.mod h1:VgVr7evmIr6uPjLBxg28wmKNXyqE9akIJ5XnfpiKl+4=
 go.uber.org/multierr v1.5.0/go.mod h1:FeouvMocqHpRaaGuG9EjoKcStLC43Zu/fmqdUMPcKYU=
@@ -307,8 +334,10 @@ golang.org/x/crypto v0.0.0-20220622213112-05595931fe9d/go.mod h1:IxCIyHEi3zRg3s0
 golang.org/x/crypto v0.0.0-20220722155217-630584e8d5aa/go.mod h1:IxCIyHEi3zRg3s0A5j5BB6A9Jmi73HwBIUl50j+osU4=
 golang.org/x/crypto v0.7.0/go.mod h1:pYwdfH91IfpZVANVyUOhSIPZaFoJGxTFbZhFTx+dXZU=
 golang.org/x/crypto v0.9.0/go.mod h1:yrmDGqONDYtNj3tH8X9dzUun2m2lzPa9ngI6/RUPGR0=
-golang.org/x/crypto v0.17.0 h1:r8bRNjWL3GshPW3gkd+RpvzWrZAwPS49OmTGZ/uhM4k=
-golang.org/x/crypto v0.17.0/go.mod h1:gCAAfMLgwOJRpTjQ2zCCt2OcSfYMTeZVSRtQlPC7Nq4=
+golang.org/x/crypto v0.21.0 h1:X31++rzVUdKhX5sWmSOFZxx8UW/ldWx55cbf08iNAMA=
+golang.org/x/crypto v0.21.0/go.mod h1:0BP7YvVV9gBbVKyeTG0Gyn+gZm94bibOW5BjDEYAOMs=
+golang.org/x/exp v0.0.0-20230713183714-613f0c0eb8a1 h1:MGwJjxBy0HJshjDNfLsYO8xppfqWlA5ZT9OhtUUhTNw=
+golang.org/x/exp v0.0.0-20230713183714-613f0c0eb8a1/go.mod h1:FXUEEKJgO7OQYeo8N01OfiKP8RXMtf6e8aTskBGqWdc=
 golang.org/x/image v0.13.0 h1:3cge/F/QTkNLauhf2QoE9zp+7sr+ZcL4HnoZmdwg9sg=
 golang.org/x/image v0.13.0/go.mod h1:6mmbMOeV28HuMTgA6OSRkdXKYw/t5W9Uwn2Yv1r3Yxk=
 golang.org/x/lint v0.0.0-20190930215403-16217165b5de/go.mod h1:6SW0HCj/g11FgYtHlgUYUwCkIfeOF89ocIRzGO/8vkc=
@@ -331,8 +360,8 @@ golang.org/x/net v0.0.0-20220722155237-a158d28d115b/go.mod h1:XRhObCWvk6IyKnWLug
 golang.org/x/net v0.6.0/go.mod h1:2Tu9+aMcznHK/AK1HMvgo6xiTLG5rD5rZLDS+rp2Bjs=
 golang.org/x/net v0.8.0/go.mod h1:QVkue5JL9kW//ek3r6jTKnTFis1tRmNAW2P1shuFdJc=
 golang.org/x/net v0.10.0/go.mod h1:0qNGK6F8kojg2nk9dLZ2mShWaEBan6FAoqfSigmmuDg=
-golang.org/x/net v0.17.0 h1:pVaXccu2ozPjCXewfr1S7xza/zcXTity9cCdXQYSjIM=
-golang.org/x/net v0.17.0/go.mod h1:NxSsAGuq816PNPmqtQdLE42eU2Fs7NoRIZrHJAlaCOE=
+golang.org/x/net v0.23.0 h1:7EYJ93RZ9vYSZAIb2x3lnuvqO5zneoD6IvWjuhfxjTs=
+golang.org/x/net v0.23.0/go.mod h1:JKghWKKOSdJwpW2GEx0Ja7fmaKnMsbu+MWVZTokSYmg=
 golang.org/x/oauth2 v0.10.0 h1:zHCpF2Khkwy4mMB4bv0U37YtJdTGW8jI0glAApi0Kh8=
 golang.org/x/oauth2 v0.10.0/go.mod h1:kTpgurOux7LqtuxjuyZa4Gj2gdezIt/jQtGnNFfypQI=
 golang.org/x/sync v0.0.0-20181221193216-37e7f081c4d4/go.mod h1:RxMgew5VJxzue5/jJTE5uejpjVlOe/izrB70Jof72aM=
@@ -341,6 +370,7 @@ golang.org/x/sync v0.0.0-20190911185100-cd5d95a43a6e/go.mod h1:RxMgew5VJxzue5/jJ
 golang.org/x/sync v0.0.0-20201020160332-67f06af15bc9/go.mod h1:RxMgew5VJxzue5/jJTE5uejpjVlOe/izrB70Jof72aM=
 golang.org/x/sync v0.0.0-20220722155255-886fb9371eb4/go.mod h1:RxMgew5VJxzue5/jJTE5uejpjVlOe/izrB70Jof72aM=
 golang.org/x/sync v0.1.0/go.mod h1:RxMgew5VJxzue5/jJTE5uejpjVlOe/izrB70Jof72aM=
+golang.org/x/sync v0.3.0 h1:ftCYgMx6zT/asHUrPw8BLLscYtGznsLAnjq5RH9P66E=
 golang.org/x/sys v0.0.0-20180905080454-ebe1bf3edb33/go.mod h1:STP8DvDyc/dI5b8T5hshtkjS+E42TnysNCUPdjciGhY=
 golang.org/x/sys v0.0.0-20190215142949-d0b11bdaac8a/go.mod h1:STP8DvDyc/dI5b8T5hshtkjS+E42TnysNCUPdjciGhY=
 golang.org/x/sys v0.0.0-20190222072716-a9d3bda3a223/go.mod h1:STP8DvDyc/dI5b8T5hshtkjS+E42TnysNCUPdjciGhY=
@@ -363,8 +393,8 @@ golang.org/x/sys v0.0.0-20220722155257-8c9f86f7a55f/go.mod h1:oPkhp1MJrh7nUepCBc
 golang.org/x/sys v0.5.0/go.mod h1:oPkhp1MJrh7nUepCBck5+mAzfO9JrbApNNgaTdGDITg=
 golang.org/x/sys v0.6.0/go.mod h1:oPkhp1MJrh7nUepCBck5+mAzfO9JrbApNNgaTdGDITg=
 golang.org/x/sys v0.8.0/go.mod h1:oPkhp1MJrh7nUepCBck5+mAzfO9JrbApNNgaTdGDITg=
-golang.org/x/sys v0.15.0 h1:h48lPFYpsTvQJZF4EKyI4aLHaev3CxivZmv7yZig9pc=
-golang.org/x/sys v0.15.0/go.mod h1:/VUhepiaJMQUp4+oa/7Zr1D23ma6VTLIYjOOTFZPUcA=
+golang.org/x/sys v0.18.0 h1:DBdB3niSjOA/O0blCZBqDefyWNYveAYMNF1Wum0DYQ4=
+golang.org/x/sys v0.18.0/go.mod h1:/VUhepiaJMQUp4+oa/7Zr1D23ma6VTLIYjOOTFZPUcA=
 golang.org/x/term v0.0.0-20201117132131-f5c789dd3221/go.mod h1:Nr5EML6q2oocZ2LXRh80K7BxOlk5/8JxuGnuhpl+muw=
 golang.org/x/term v0.0.0-20201126162022-7de9c90e9dd1/go.mod h1:bj7SfCRtBDWHUb9snDiAeCFNEtKQo2Wmx5Cou7ajbmo=
 golang.org/x/term v0.0.0-20210927222741-03fcf44c2211/go.mod h1:jbD1KX2456YbFQfuXm/mYQcufACuNUgVhRMnK/tPxf8=

integrations/AliYun/dashboards/arms-db.json

@@ -1,95 +1,106 @@
 {
+    "id": 0,
+    "group_id": 0,
     "name": "ARMS-DB",
-    "tags": "ARMS",
     "ident": "",
+    "tags": "ARMS",
+    "create_at": 0,
+    "create_by": "",
+    "update_at": 0,
+    "update_by": "",
     "configs": {
-        "version": "3.0.0",
         "links": [],
-        "var": [
-            {
-                "name": "datasource",
-                "type": "datasource",
-                "definition": "prometheus"
-            },
-            {
-                "type": "query",
-                "name": "service",
-                "definition": "label_values(arms_system_cpu_idle,service)",
-                "allOption": false,
-                "multi": false,
-                "reg": "",
-                "datasource": {
-                    "cate": "prometheus",
-                    "value": "${datasource}"
-                }
-            },
-            {
-                "type": "query",
-                "name": "instance",
-                "definition": "label_values(arms_db_requests_count{service=\"$service\"},endpoint)",
-                "allOption": false,
-                "multi": false,
-                "reg": "",
-                "datasource": {
-                    "cate": "prometheus",
-                    "value": "${datasource}"
-                }
-            },
-            {
-                "type": "query",
-                "name": "db",
-                "definition": "label_values(arms_db_requests_count{endpoint=\"${instance}\"},destId)",
-                "allValue": ".*",
-                "allOption": true,
-                "multi": false,
-                "reg": "",
-                "datasource": {
-                    "cate": "prometheus",
-                    "value": "${datasource}"
-                }
-            }
-        ],
         "panels": [
             {
-                "version": "3.0.0",
-                "id": "bd8c0aac-06df-4b2d-9456-cad8e7389499",
-                "type": "row",
-                "name": "概览(DB级别)",
                 "collapsed": true,
+                "id": "bd8c0aac-06df-4b2d-9456-cad8e7389499",
                 "layout": {
                     "h": 1,
+                    "i": "bd8c0aac-06df-4b2d-9456-cad8e7389499",
                     "w": 24,
                     "x": 0,
-                    "y": 0,
-                    "i": "bd8c0aac-06df-4b2d-9456-cad8e7389499"
+                    "y": 0
                 },
-                "panels": []
+                "name": "概览(DB级别)",
+                "panels": [],
+                "type": "row",
+                "version": "3.0.0"
             },
             {
-                "version": "3.0.0",
+                "custom": {
+                    "drawStyle": "lines",
+                    "fillOpacity": 0.3,
+                    "gradientMode": "opacity",
+                    "lineInterpolation": "linear",
+                    "lineWidth": 2,
+                    "stack": "off",
+                    "version": "3.0.0"
+                },
+                "datasourceCate": "prometheus",
+                "datasourceValue": "${datasource}",
                 "id": "8d2da301-e5e8-4b2f-9b31-59aa0835c312",
-                "type": "timeseries",
+                "layout": {
+                    "h": 8,
+                    "i": "8d2da301-e5e8-4b2f-9b31-59aa0835c312",
+                    "w": 12,
+                    "x": 0,
+                    "y": 1
+                },
+                "links": [],
+                "maxPerRow": 4,
                 "name": "请求数/每分钟",
-                "links": [],
-                "layout": {
-                    "h": 8,
-                    "w": 12,
-                    "x": 0,
-                    "y": 1,
-                    "i": "8d2da301-e5e8-4b2f-9b31-59aa0835c312"
+                "options": {
+                    "legend": {
+                        "displayMode": "hidden"
+                    },
+                    "thresholds": {
+                        "steps": [
+                            {
+                                "color": "#634CD9",
+                                "type": "base",
+                                "value": null
+                            }
+                        ]
+                    },
+                    "tooltip": {
+                        "mode": "all",
+                        "sort": "none"
+                    }
                 },
                 "targets": [
                     {
-                        "refId": "B",
                         "expr": "sum by (callType) (sum_over_time(arms_db_requests_count{endpoint=\"${instance}\",destId=~\"${db}\"}[1m]))",
-                        "legend": "{{callType}}入口"
+                        "legend": "{{callType}}入口",
+                        "refId": "B"
                     }
                 ],
+                "type": "timeseries",
+                "version": "3.0.0"
+            },
+            {
+                "custom": {
+                    "drawStyle": "lines",
+                    "fillOpacity": 0.3,
+                    "gradientMode": "opacity",
+                    "lineInterpolation": "linear",
+                    "lineWidth": 2,
+                    "stack": "off",
+                    "version": "3.0.0"
+                },
+                "datasourceCate": "prometheus",
+                "datasourceValue": "${datasource}",
+                "id": "ab2b0969-50e7-4e4b-962a-58be133e6aef",
+                "layout": {
+                    "h": 8,
+                    "i": "ab2b0969-50e7-4e4b-962a-58be133e6aef",
+                    "w": 12,
+                    "x": 12,
+                    "y": 1
+                },
+                "links": [],
+                "maxPerRow": 4,
+                "name": "响应时间/每分钟",
                 "options": {
-                    "tooltip": {
-                        "mode": "all",
-                        "sort": "none"
-                    },
                     "legend": {
                         "displayMode": "hidden"
                     },
@@ -97,97 +108,50 @@
                         "steps": [
                             {
                                 "color": "#634CD9",
-                                "value": null,
-                                "type": "base"
+                                "type": "base",
+                                "value": null
                             }
                         ]
+                    },
+                    "tooltip": {
+                        "mode": "all",
+                        "sort": "none"
                     }
                 },
-                "custom": {
-                    "version": "3.0.0",
-                    "drawStyle": "lines",
-                    "lineInterpolation": "linear",
-                    "fillOpacity": 0.5,
-                    "stack": "off"
-                },
-                "maxPerRow": 4,
-                "datasourceCate": "prometheus",
-                "datasourceValue": "${datasource}"
-            },
-            {
-                "version": "3.0.0",
-                "id": "ab2b0969-50e7-4e4b-962a-58be133e6aef",
-                "type": "timeseries",
-                "name": "响应时间/每分钟",
-                "links": [],
-                "layout": {
-                    "h": 8,
-                    "w": 12,
-                    "x": 12,
-                    "y": 1,
-                    "i": "ab2b0969-50e7-4e4b-962a-58be133e6aef"
-                },
                 "targets": [
                     {
-                        "refId": "A",
                         "expr": "sum by (callType) (sum_over_time(arms_db_requests_seconds{endpoint=\"$instance\",destId=~\"^$db$\"}[1m]))/sum by (callType) (sum_over_time(arms_db_requests_count{endpoint=\"$instance\",destId=~\"^$db$\"}[1m]))",
-                        "legend": "{{callType}}入口"
+                        "legend": "{{callType}}入口",
+                        "refId": "A"
                     }
                 ],
-                "options": {
-                    "tooltip": {
-                        "mode": "all",
-                        "sort": "none"
-                    },
-                    "legend": {
-                        "displayMode": "hidden"
-                    },
-                    "thresholds": {
-                        "steps": [
-                            {
-                                "color": "#634CD9",
-                                "value": null,
-                                "type": "base"
-                            }
-                        ]
-                    }
-                },
-                "custom": {
-                    "version": "3.0.0",
-                    "drawStyle": "lines",
-                    "lineInterpolation": "linear",
-                    "fillOpacity": 0.5,
-                    "stack": "off"
-                },
-                "maxPerRow": 4,
-                "datasourceCate": "prometheus",
-                "datasourceValue": "${datasource}"
+                "type": "timeseries",
+                "version": "3.0.0"
             },
             {
-                "version": "3.0.0",
+                "custom": {
+                    "drawStyle": "lines",
+                    "fillOpacity": 0.3,
+                    "gradientMode": "opacity",
+                    "lineInterpolation": "linear",
+                    "lineWidth": 2,
+                    "stack": "off",
+                    "version": "3.0.0"
+                },
+                "datasourceCate": "prometheus",
+                "datasourceValue": "${datasource}",
                 "id": "6bd5d219-0a94-4f90-b2e0-93ed3eeca9f0",
-                "type": "timeseries",
-                "name": "错误数/每分钟",
-                "links": [],
                 "layout": {
                     "h": 8,
+                    "i": "6bd5d219-0a94-4f90-b2e0-93ed3eeca9f0",
                     "w": 12,
                     "x": 0,
-                    "y": 9,
-                    "i": "6bd5d219-0a94-4f90-b2e0-93ed3eeca9f0"
+                    "y": 9
                 },
-                "targets": [
-                    {
-                        "refId": "A",
-                        "expr": "sum by (callType) (sum_over_time(arms_db_requests_error_count{endpoint=\"$instance\",destId=~\"$db\"}[1m]))",
-                        "legend": "{{callType}}入口"
-                    }
-                ],
+                "links": [],
+                "maxPerRow": 4,
+                "name": "错误数/每分钟",
                 "options": {
-                    "tooltip": {
-                        "mode": "all",
-                        "sort": "none"
-                    },
                     "legend": {
                         "displayMode": "hidden"
                     },
@@ -195,54 +159,51 @@
                         "steps": [
                             {
                                 "color": "#634CD9",
-                                "value": null,
-                                "type": "base"
+                                "type": "base",
+                                "value": null
                             }
                         ]
+                    },
+                    "tooltip": {
+                        "mode": "all",
+                        "sort": "none"
                     }
                 },
-                "custom": {
-                    "version": "3.0.0",
-                    "drawStyle": "lines",
-                    "lineInterpolation": "linear",
-                    "fillOpacity": 0.5,
-                    "stack": "off"
-                },
-                "maxPerRow": 4,
-                "datasourceCate": "prometheus",
-                "datasourceValue": "${datasource}"
+                "targets": [
+                    {
+                        "expr": "sum by (callType) (sum_over_time(arms_db_requests_error_count{endpoint=\"$instance\",destId=~\"$db\"}[1m]))",
+                        "legend": "{{callType}}入口",
+                        "refId": "A"
+                    }
+                ],
+                "type": "timeseries",
+                "version": "3.0.0"
             },
             {
-                "version": "3.0.0",
-                "id": "d9093b86-5796-471a-a28c-fe1d8daf1721",
-                "type": "timeseries",
-                "name": "性能一览/每分钟",
+                "custom": {
+                    "drawStyle": "lines",
+                    "fillOpacity": 0.3,
+                    "gradientMode": "opacity",
+                    "lineInterpolation": "linear",
+                    "lineWidth": 2,
+                    "stack": "off",
+                    "version": "3.0.0"
+                },
+                "datasourceCate": "prometheus",
+                "datasourceValue": "${datasource}",
                 "description": "针对所有SQL的聚和指标",
-                "links": [],
+                "id": "d9093b86-5796-471a-a28c-fe1d8daf1721",
                 "layout": {
                     "h": 8,
+                    "i": "d9093b86-5796-471a-a28c-fe1d8daf1721",
                     "w": 12,
                     "x": 12,
-                    "y": 9,
-                    "i": "d9093b86-5796-471a-a28c-fe1d8daf1721"
+                    "y": 9
                 },
-                "targets": [
-                    {
-                        "refId": "A",
-                        "expr": "sum(sum_over_time(arms_db_requests_count{endpoint=\"$instance\",destId=~\"$db\"}[1m]))",
-                        "legend": "请求次数"
-                    },
-                    {
-                        "refId": "B",
-                        "expr": "sum(sum_over_time(arms_db_requests_seconds{endpoint=\"$instance\",destId=~\"$db\"}[1m]))/sum(sum_over_time(arms_db_requests_count{endpoint=\"$instance\",destId=~\"$db\"}[1m]))",
-                        "legend": "平均耗时"
-                    }
-                ],
+                "links": [],
+                "maxPerRow": 4,
+                "name": "性能一览/每分钟",
                 "options": {
-                    "tooltip": {
-                        "mode": "all",
-                        "sort": "none"
-                    },
                     "legend": {
                         "displayMode": "hidden"
                     },
@@ -250,23 +211,82 @@
                         "steps": [
                             {
                                 "color": "#634CD9",
-                                "value": null,
-                                "type": "base"
+                                "type": "base",
+                                "value": null
                             }
                         ]
+                    },
+                    "tooltip": {
+                        "mode": "all",
+                        "sort": "none"
                     }
                 },
-                "custom": {
-                    "version": "3.0.0",
-                    "drawStyle": "lines",
-                    "lineInterpolation": "linear",
-                    "fillOpacity": 0.5,
-                    "stack": "off"
-                },
-                "maxPerRow": 4,
-                "datasourceCate": "prometheus",
-                "datasourceValue": "${datasource}"
+                "targets": [
+                    {
+                        "expr": "sum(sum_over_time(arms_db_requests_count{endpoint=\"$instance\",destId=~\"$db\"}[1m]))",
+                        "legend": "请求次数",
+                        "refId": "A"
+                    },
+                    {
+                        "expr": "sum(sum_over_time(arms_db_requests_seconds{endpoint=\"$instance\",destId=~\"$db\"}[1m]))/sum(sum_over_time(arms_db_requests_count{endpoint=\"$instance\",destId=~\"$db\"}[1m]))",
+                        "legend": "平均耗时",
+                        "refId": "B"
+                    }
+                ],
+                "type": "timeseries",
+                "version": "3.0.0"
             }
-        ]
-    }
+        ],
+        "var": [
+            {
+                "definition": "prometheus",
+                "name": "datasource",
+                "type": "datasource"
+            },
+            {
+                "allOption": false,
+                "datasource": {
+                    "cate": "prometheus",
+                    "value": "${datasource}"
+                },
+                "definition": "label_values(arms_system_cpu_idle,service)",
+                "multi": false,
+                "name": "service",
+                "reg": "",
+                "type": "query"
+            },
+            {
+                "allOption": false,
+                "datasource": {
+                    "cate": "prometheus",
+                    "value": "${datasource}"
+                },
+                "definition": "label_values(arms_db_requests_count{service=\"$service\"},endpoint)",
+                "multi": false,
+                "name": "instance",
+                "reg": "",
+                "type": "query"
+            },
+            {
+                "allOption": true,
+                "allValue": ".*",
+                "datasource": {
+                    "cate": "prometheus",
+                    "value": "${datasource}"
+                },
+                "definition": "label_values(arms_db_requests_count{endpoint=\"${instance}\"},destId)",
+                "multi": false,
+                "name": "db",
+                "reg": "",
+                "type": "query"
+            }
+        ],
+        "version": "3.0.0"
+    },
+    "public": 0,
+    "public_cate": 0,
+    "bgids": null,
+    "built_in": 0,
+    "hide": 0,
+    "uuid": 1717556327092680000
 }

integrations/AliYun/dashboards/arms-jvm-service.json

@@ -1,7 +1,13 @@
 {
+    "id": 0,
+    "group_id": 0,
     "name": "阿里云 ARMS-JVM-SERVICE",
-    "tags": "JVM ARMS",
     "ident": "",
+    "tags": "JVM ARMS",
+    "create_at": 0,
+    "create_by": "",
+    "update_at": 0,
+    "update_by": "",
     "configs": {
         "panels": [
             {
@@ -21,10 +27,10 @@
             {
                 "custom": {
                     "drawStyle": "lines",
-                    "fillOpacity": 0.5,
-                    "gradientMode": "none",
+                    "fillOpacity": 0.3,
+                    "gradientMode": "opacity",
                     "lineInterpolation": "smooth",
-                    "lineWidth": 1,
+                    "lineWidth": 2,
                     "scaleDistribution": {
                         "type": "linear"
                     },
@@ -85,10 +91,10 @@
             {
                 "custom": {
                     "drawStyle": "lines",
-                    "fillOpacity": 0.5,
-                    "gradientMode": "none",
+                    "fillOpacity": 0.3,
+                    "gradientMode": "opacity",
                     "lineInterpolation": "smooth",
-                    "lineWidth": 1,
+                    "lineWidth": 2,
                     "scaleDistribution": {
                         "type": "linear"
                     },
@@ -149,10 +155,10 @@
             {
                 "custom": {
                     "drawStyle": "lines",
-                    "fillOpacity": 0.5,
-                    "gradientMode": "none",
+                    "fillOpacity": 0.3,
+                    "gradientMode": "opacity",
                     "lineInterpolation": "smooth",
-                    "lineWidth": 1,
+                    "lineWidth": 2,
                     "scaleDistribution": {
                         "type": "linear"
                     },
@@ -227,10 +233,10 @@
             {
                 "custom": {
                     "drawStyle": "lines",
-                    "fillOpacity": 0.5,
-                    "gradientMode": "none",
+                    "fillOpacity": 0.3,
+                    "gradientMode": "opacity",
                     "lineInterpolation": "smooth",
-                    "lineWidth": 1,
+                    "lineWidth": 2,
                     "scaleDistribution": {
                         "type": "linear"
                     },
@@ -296,10 +302,10 @@
             {
                 "custom": {
                     "drawStyle": "lines",
-                    "fillOpacity": 0.5,
-                    "gradientMode": "none",
+                    "fillOpacity": 0.3,
+                    "gradientMode": "opacity",
                     "lineInterpolation": "smooth",
-                    "lineWidth": 1,
+                    "lineWidth": 2,
                     "scaleDistribution": {
                         "type": "linear"
                     },
@@ -365,10 +371,10 @@
             {
                 "custom": {
                     "drawStyle": "lines",
-                    "fillOpacity": 0.5,
-                    "gradientMode": "none",
+                    "fillOpacity": 0.3,
+                    "gradientMode": "opacity",
                     "lineInterpolation": "smooth",
-                    "lineWidth": 1,
+                    "lineWidth": 2,
                     "scaleDistribution": {
                         "type": "linear"
                     },
@@ -434,10 +440,10 @@
             {
                 "custom": {
                     "drawStyle": "lines",
-                    "fillOpacity": 0.5,
-                    "gradientMode": "none",
+                    "fillOpacity": 0.3,
+                    "gradientMode": "opacity",
                     "lineInterpolation": "smooth",
-                    "lineWidth": 1,
+                    "lineWidth": 2,
                     "scaleDistribution": {
                         "type": "linear"
                     },
@@ -498,10 +504,10 @@
             {
                 "custom": {
                     "drawStyle": "lines",
-                    "fillOpacity": 0.5,
-                    "gradientMode": "none",
+                    "fillOpacity": 0.3,
+                    "gradientMode": "opacity",
                     "lineInterpolation": "smooth",
-                    "lineWidth": 1,
+                    "lineWidth": 2,
                     "scaleDistribution": {
                         "type": "linear"
                     },
@@ -562,10 +568,10 @@
             {
                 "custom": {
                     "drawStyle": "lines",
-                    "fillOpacity": 0.5,
-                    "gradientMode": "none",
+                    "fillOpacity": 0.3,
+                    "gradientMode": "opacity",
                     "lineInterpolation": "smooth",
-                    "lineWidth": 1,
+                    "lineWidth": 2,
                     "scaleDistribution": {
                         "type": "linear"
                     },
@@ -640,10 +646,10 @@
             {
                 "custom": {
                     "drawStyle": "lines",
-                    "fillOpacity": 0.5,
-                    "gradientMode": "none",
+                    "fillOpacity": 0.3,
+                    "gradientMode": "opacity",
                     "lineInterpolation": "smooth",
-                    "lineWidth": 1,
+                    "lineWidth": 2,
                     "scaleDistribution": {
                         "type": "linear"
                     },
@@ -702,10 +708,10 @@
             {
                 "custom": {
                     "drawStyle": "lines",
-                    "fillOpacity": 0.5,
-                    "gradientMode": "none",
+                    "fillOpacity": 0.3,
+                    "gradientMode": "opacity",
                     "lineInterpolation": "smooth",
-                    "lineWidth": 1,
+                    "lineWidth": 2,
                     "scaleDistribution": {
                         "type": "linear"
                     },
@@ -770,14 +776,14 @@
                 "type": "datasource"
             },
             {
-                "name": "service",
-                "label": "service",
-                "type": "query",
                 "datasource": {
                     "cate": "prometheus",
                     "value": "${prom}"
                 },
-                "definition": "label_values(arms_jvm_buffer_pool_count, service)"
+                "definition": "label_values(arms_jvm_buffer_pool_count, service)",
+                "label": "service",
+                "name": "service",
+                "type": "query"
             },
             {
                 "datasource": {
@@ -791,5 +797,11 @@
             }
         ],
         "version": "3.0.0"
-    }
+    },
+    "public": 0,
+    "public_cate": 0,
+    "bgids": null,
+    "built_in": 0,
+    "hide": 0,
+    "uuid": 1717556327094704000
 }

integrations/AliYun/dashboards/arms-machine.json

@@ -1,329 +1,304 @@
 {
+    "id": 0,
+    "group_id": 0,
     "name": "ARMS-Machine",
-    "tags": "ARMS",
     "ident": "",
+    "tags": "ARMS",
+    "create_at": 0,
+    "create_by": "",
+    "update_at": 0,
+    "update_by": "",
     "configs": {
-        "version": "3.0.0",
         "links": [],
-        "var": [
-            {
-                "name": "datasource",
-                "type": "datasource",
-                "definition": "prometheus"
-            },
-            {
-                "type": "query",
-                "name": "service",
-                "definition": "label_values(arms_system_cpu_idle,service)",
-                "allOption": false,
-                "multi": false,
-                "reg": "",
-                "datasource": {
-                    "cate": "prometheus",
-                    "value": "${datasource}"
-                }
-            },
-            {
-                "type": "query",
-                "name": "host",
-                "definition": "label_values(arms_system_cpu_idle{service=\"$service\"},host)",
-                "allValue": "*",
-                "allOption": false,
-                "multi": false,
-                "reg": "",
-                "datasource": {
-                    "cate": "prometheus",
-                    "value": "${datasource}"
-                }
-            }
-        ],
         "panels": [
             {
-                "version": "3.0.0",
-                "id": "8865eacb-f0f6-45fa-912a-8494907c48d6",
-                "type": "row",
-                "name": "系统信息",
                 "collapsed": true,
+                "id": "8865eacb-f0f6-45fa-912a-8494907c48d6",
                 "layout": {
                     "h": 1,
+                    "i": "8865eacb-f0f6-45fa-912a-8494907c48d6",
                     "w": 24,
                     "x": 0,
-                    "y": 0,
-                    "i": "8865eacb-f0f6-45fa-912a-8494907c48d6"
+                    "y": 0
                 },
-                "panels": []
+                "name": "系统信息",
+                "panels": [],
+                "type": "row",
+                "version": "3.0.0"
             },
             {
-                "version": "3.0.0",
+                "custom": {
+                    "drawStyle": "lines",
+                    "fillOpacity": 0.3,
+                    "gradientMode": "opacity",
+                    "lineInterpolation": "linear",
+                    "lineWidth": 2,
+                    "stack": "off",
+                    "version": "3.0.0"
+                },
+                "datasourceCate": "prometheus",
+                "datasourceValue": "${datasource}",
                 "id": "7fd3186b-6190-44c7-ad05-1c81993f27c9",
-                "type": "timeseries",
+                "layout": {
+                    "h": 9,
+                    "i": "7fd3186b-6190-44c7-ad05-1c81993f27c9",
+                    "w": 24,
+                    "x": 0,
+                    "y": 1
+                },
+                "links": [],
+                "maxPerRow": 4,
                 "name": "CPU",
-                "links": [],
-                "layout": {
-                    "h": 9,
-                    "w": 24,
-                    "x": 0,
-                    "y": 1,
-                    "i": "7fd3186b-6190-44c7-ad05-1c81993f27c9"
+                "options": {
+                    "legend": {
+                        "displayMode": "hidden"
+                    },
+                    "thresholds": {
+                        "steps": [
+                            {
+                                "color": "#634CD9",
+                                "type": "base",
+                                "value": null
+                            }
+                        ]
+                    },
+                    "tooltip": {
+                        "mode": "all",
+                        "sort": "none"
+                    }
                 },
                 "targets": [
                     {
-                        "refId": "A",
                         "expr": "max(arms_system_cpu_system{host=~\"$host\"})",
-                        "legend": "系统CPU使用率"
+                        "legend": "系统CPU使用率",
+                        "refId": "A"
                     },
                     {
-                        "refId": "B",
                         "expr": "max(arms_system_cpu_io_wait{host=~\"$host\"})",
-                        "legend": "等待IO完成的CPU使用率"
+                        "legend": "等待IO完成的CPU使用率",
+                        "refId": "B"
                     },
                     {
-                        "refId": "C",
                         "expr": "max(arms_system_cpu_user{host=~\"$host\"})",
-                        "legend": "用户CPU使用率"
+                        "legend": "用户CPU使用率",
+                        "refId": "C"
                     },
                     {
-                        "refId": "D",
                         "expr": "max(arms_system_cpu_system{host=\"$host\"})+max(arms_system_cpu_io_wait{host=~\"$host\"})+max(arms_system_cpu_user{host=\"$host\"})",
-                        "legend": "总和"
+                        "legend": "总和",
+                        "refId": "D"
                     }
                 ],
-                "options": {
-                    "tooltip": {
-                        "mode": "all",
-                        "sort": "none"
-                    },
-                    "legend": {
-                        "displayMode": "hidden"
-                    },
-                    "thresholds": {
-                        "steps": [
-                            {
-                                "color": "#634CD9",
-                                "value": null,
-                                "type": "base"
-                            }
-                        ]
-                    }
-                },
-                "custom": {
-                    "version": "3.0.0",
-                    "drawStyle": "lines",
-                    "lineInterpolation": "linear",
-                    "fillOpacity": 0.5,
-                    "stack": "off"
-                },
-                "maxPerRow": 4,
-                "datasourceCate": "prometheus",
-                "datasourceValue": "${datasource}"
+                "type": "timeseries",
+                "version": "3.0.0"
             },
             {
-                "version": "3.0.0",
+                "custom": {
+                    "drawStyle": "lines",
+                    "fillOpacity": 0.3,
+                    "gradientMode": "opacity",
+                    "lineInterpolation": "linear",
+                    "lineWidth": 2,
+                    "stack": "off",
+                    "version": "3.0.0"
+                },
+                "datasourceCate": "prometheus",
+                "datasourceValue": "${datasource}",
                 "id": "60fc127b-b565-40de-9346-860062d5ea58",
-                "type": "timeseries",
+                "layout": {
+                    "h": 9,
+                    "i": "60fc127b-b565-40de-9346-860062d5ea58",
+                    "w": 24,
+                    "x": 0,
+                    "y": 10
+                },
+                "links": [],
+                "maxPerRow": 4,
                 "name": "内存",
-                "links": [],
-                "layout": {
-                    "h": 9,
-                    "w": 24,
-                    "x": 0,
-                    "y": 10,
-                    "i": "60fc127b-b565-40de-9346-860062d5ea58"
+                "options": {
+                    "legend": {
+                        "displayMode": "hidden"
+                    },
+                    "thresholds": {
+                        "steps": [
+                            {
+                                "color": "#634CD9",
+                                "type": "base",
+                                "value": null
+                            }
+                        ]
+                    },
+                    "tooltip": {
+                        "mode": "all",
+                        "sort": "none"
+                    }
                 },
                 "targets": [
                     {
-                        "refId": "A",
                         "expr": "max(arms_system_mem_used_bytes{host=\"$host\"})",
-                        "legend": "系统的已经使用的内存"
+                        "legend": "系统的已经使用的内存",
+                        "refId": "A"
                     },
                     {
-                        "refId": "C",
                         "expr": "max(arms_system_mem_total_bytes{host=\"$host\"})",
-                        "legend": "总和"
+                        "legend": "总和",
+                        "refId": "C"
                     },
                     {
-                        "refId": "D",
                         "expr": "max(arms_system_mem_buffers_bytes{host=\"$host\"})",
-                        "legend": "系统的BufferCache的内存数"
+                        "legend": "系统的BufferCache的内存数",
+                        "refId": "D"
                     },
                     {
-                        "refId": "E",
                         "expr": "max(arms_system_mem_cached_bytes{host=\"$host\"})",
-                        "legend": "系统的PageCache里的内存数"
+                        "legend": "系统的PageCache里的内存数",
+                        "refId": "E"
                     },
                     {
-                        "refId": "B",
                         "expr": "max(arms_system_mem_free_bytes{host=\"$host\"})",
-                        "legend": "系统的空闲内存"
+                        "legend": "系统的空闲内存",
+                        "refId": "B"
                     }
                 ],
-                "options": {
-                    "tooltip": {
-                        "mode": "all",
-                        "sort": "none"
-                    },
-                    "legend": {
-                        "displayMode": "hidden"
-                    },
-                    "thresholds": {
-                        "steps": [
-                            {
-                                "color": "#634CD9",
-                                "value": null,
-                                "type": "base"
-                            }
-                        ]
-                    }
-                },
-                "custom": {
-                    "version": "3.0.0",
-                    "drawStyle": "lines",
-                    "lineInterpolation": "linear",
-                    "fillOpacity": 0.5,
-                    "stack": "off"
-                },
-                "maxPerRow": 4,
-                "datasourceCate": "prometheus",
-                "datasourceValue": "${datasource}"
+                "type": "timeseries",
+                "version": "3.0.0"
             },
             {
-                "version": "3.0.0",
+                "custom": {
+                    "drawStyle": "lines",
+                    "fillOpacity": 0.3,
+                    "gradientMode": "opacity",
+                    "lineInterpolation": "linear",
+                    "lineWidth": 2,
+                    "stack": "off",
+                    "version": "3.0.0"
+                },
+                "datasourceCate": "prometheus",
+                "datasourceValue": "${datasource}",
                 "id": "5229fd8c-3e26-44e6-a091-145c3caef46f",
-                "type": "timeseries",
+                "layout": {
+                    "h": 9,
+                    "i": "5229fd8c-3e26-44e6-a091-145c3caef46f",
+                    "w": 24,
+                    "x": 0,
+                    "y": 19
+                },
+                "links": [],
+                "maxPerRow": 4,
                 "name": "负载",
-                "links": [],
-                "layout": {
-                    "h": 9,
-                    "w": 24,
-                    "x": 0,
-                    "y": 19,
-                    "i": "5229fd8c-3e26-44e6-a091-145c3caef46f"
+                "options": {
+                    "legend": {
+                        "displayMode": "hidden"
+                    },
+                    "thresholds": {
+                        "steps": [
+                            {
+                                "color": "#634CD9",
+                                "type": "base",
+                                "value": null
+                            }
+                        ]
+                    },
+                    "tooltip": {
+                        "mode": "all",
+                        "sort": "none"
+                    }
                 },
                 "targets": [
                     {
-                        "refId": "A",
                         "expr": "max(arms_system_load{host=\"$host\"})",
-                        "legend": "负载"
+                        "legend": "负载",
+                        "refId": "A"
                     }
                 ],
-                "options": {
-                    "tooltip": {
-                        "mode": "all",
-                        "sort": "none"
-                    },
-                    "legend": {
-                        "displayMode": "hidden"
-                    },
-                    "thresholds": {
-                        "steps": [
-                            {
-                                "color": "#634CD9",
-                                "value": null,
-                                "type": "base"
-                            }
-                        ]
-                    }
-                },
-                "custom": {
-                    "version": "3.0.0",
-                    "drawStyle": "lines",
-                    "lineInterpolation": "linear",
-                    "fillOpacity": 0.5,
-                    "stack": "off"
-                },
-                "maxPerRow": 4,
-                "datasourceCate": "prometheus",
-                "datasourceValue": "${datasource}"
+                "type": "timeseries",
+                "version": "3.0.0"
             },
             {
-                "version": "3.0.0",
+                "custom": {
+                    "drawStyle": "lines",
+                    "fillOpacity": 0.3,
+                    "gradientMode": "opacity",
+                    "lineInterpolation": "linear",
+                    "lineWidth": 2,
+                    "stack": "off",
+                    "version": "3.0.0"
+                },
+                "datasourceCate": "prometheus",
+                "datasourceValue": "${datasource}",
                 "id": "60872e48-5445-4ee1-b0a2-19be72b6f737",
-                "type": "timeseries",
+                "layout": {
+                    "h": 9,
+                    "i": "60872e48-5445-4ee1-b0a2-19be72b6f737",
+                    "w": 24,
+                    "x": 0,
+                    "y": 28
+                },
+                "links": [],
+                "maxPerRow": 4,
                 "name": "磁盘",
-                "links": [],
-                "layout": {
-                    "h": 9,
-                    "w": 24,
-                    "x": 0,
-                    "y": 28,
-                    "i": "60872e48-5445-4ee1-b0a2-19be72b6f737"
+                "options": {
+                    "legend": {
+                        "displayMode": "hidden"
+                    },
+                    "thresholds": {
+                        "steps": [
+                            {
+                                "color": "#634CD9",
+                                "type": "base",
+                                "value": null
+                            }
+                        ]
+                    },
+                    "tooltip": {
+                        "mode": "all",
+                        "sort": "none"
+                    }
                 },
                 "targets": [
                     {
-                        "refId": "A",
                         "expr": "max(arms_system_disk_free_bytes{host=\"$host\"})",
-                        "legend": "可用磁盘容量"
+                        "legend": "可用磁盘容量",
+                        "refId": "A"
                     },
                     {
-                        "refId": "B",
                         "expr": "max(arms_system_disk_total_bytes{host=\"$host\"})",
-                        "legend": "总磁盘容量"
+                        "legend": "总磁盘容量",
+                        "refId": "B"
                     },
                     {
-                        "refId": "C",
                         "expr": "max(arms_system_disk_total_bytes{host=~\"$host\"})-max(arms_system_disk_free_bytes{host=~\"$host\"})",
-                        "legend": "已使用磁盘容量"
+                        "legend": "已使用磁盘容量",
+                        "refId": "C"
                     }
                 ],
-                "options": {
-                    "tooltip": {
-                        "mode": "all",
-                        "sort": "none"
-                    },
-                    "legend": {
-                        "displayMode": "hidden"
-                    },
-                    "thresholds": {
-                        "steps": [
-                            {
-                                "color": "#634CD9",
-                                "value": null,
-                                "type": "base"
-                            }
-                        ]
-                    }
-                },
-                "custom": {
-                    "version": "3.0.0",
-                    "drawStyle": "lines",
-                    "lineInterpolation": "linear",
-                    "fillOpacity": 0.5,
-                    "stack": "off"
-                },
-                "maxPerRow": 4,
-                "datasourceCate": "prometheus",
-                "datasourceValue": "${datasource}"
+                "type": "timeseries",
+                "version": "3.0.0"
             },
             {
-                "version": "3.0.0",
+                "custom": {
+                    "drawStyle": "lines",
+                    "fillOpacity": 0.3,
+                    "gradientMode": "opacity",
+                    "lineInterpolation": "linear",
+                    "lineWidth": 2,
+                    "stack": "off",
+                    "version": "3.0.0"
+                },
+                "datasourceCate": "prometheus",
+                "datasourceValue": "${datasource}",
                 "id": "517cc410-c4a0-4923-a902-3c102f06cd0c",
-                "type": "timeseries",
-                "name": "网络流量(Byte)/每分钟",
-                "links": [],
                 "layout": {
                     "h": 9,
+                    "i": "517cc410-c4a0-4923-a902-3c102f06cd0c",
                     "w": 24,
                     "x": 0,
-                    "y": 37,
-                    "i": "517cc410-c4a0-4923-a902-3c102f06cd0c"
+                    "y": 37
                 },
-                "targets": [
-                    {
-                        "refId": "A",
-                        "expr": "max(max_over_time(arms_system_net_in_bytes{host=~\"$host\"}[1m]))",
-                        "legend": "网络接收的字节数"
-                    },
-                    {
-                        "refId": "B",
-                        "expr": "max(max_over_time(arms_system_net_out_bytes{host=~\"$host\"}[1m]))",
-                        "legend": "网络发送的字节数"
-                    }
-                ],
+                "links": [],
+                "maxPerRow": 4,
+                "name": "网络流量(Byte)/每分钟",
                 "options": {
-                    "tooltip": {
-                        "mode": "all",
-                        "sort": "none"
-                    },
                     "legend": {
                         "displayMode": "hidden"
                     },
@@ -331,63 +306,55 @@
                         "steps": [
                             {
                                 "color": "#634CD9",
-                                "value": null,
-                                "type": "base"
+                                "type": "base",
+                                "value": null
                             }
                         ]
+                    },
+                    "tooltip": {
+                        "mode": "all",
+                        "sort": "none"
                     }
                 },
-                "custom": {
-                    "version": "3.0.0",
-                    "drawStyle": "lines",
-                    "lineInterpolation": "linear",
-                    "fillOpacity": 0.5,
-                    "stack": "off"
-                },
-                "maxPerRow": 4,
-                "datasourceCate": "prometheus",
-                "datasourceValue": "${datasource}"
+                "targets": [
+                    {
+                        "expr": "max(max_over_time(arms_system_net_in_bytes{host=~\"$host\"}[1m]))",
+                        "legend": "网络接收的字节数",
+                        "refId": "A"
+                    },
+                    {
+                        "expr": "max(max_over_time(arms_system_net_out_bytes{host=~\"$host\"}[1m]))",
+                        "legend": "网络发送的字节数",
+                        "refId": "B"
+                    }
+                ],
+                "type": "timeseries",
+                "version": "3.0.0"
             },
             {
-                "version": "3.0.0",
+                "custom": {
+                    "drawStyle": "lines",
+                    "fillOpacity": 0.3,
+                    "gradientMode": "opacity",
+                    "lineInterpolation": "linear",
+                    "lineWidth": 2,
+                    "stack": "off",
+                    "version": "3.0.0"
+                },
+                "datasourceCate": "prometheus",
+                "datasourceValue": "${datasource}",
                 "id": "752d89ce-1136-4ddf-b4b9-1a232a8840db",
-                "type": "timeseries",
-                "name": "网络数据包(个)/每分钟",
-                "links": [],
                 "layout": {
                     "h": 9,
+                    "i": "752d89ce-1136-4ddf-b4b9-1a232a8840db",
                     "w": 24,
                     "x": 0,
-                    "y": 46,
-                    "i": "752d89ce-1136-4ddf-b4b9-1a232a8840db"
+                    "y": 46
                 },
-                "targets": [
-                    {
-                        "refId": "A",
-                        "expr": "max(max_over_time(arms_system_net_in_packets{host=~\"$host\"}[1m]))",
-                        "legend": "网络接收的报文数"
-                    },
-                    {
-                        "refId": "C",
-                        "expr": "max(max_over_time(arms_system_net_out_packets{host=~\"$host\"}[1m]))",
-                        "legend": "网络发送的报文数"
-                    },
-                    {
-                        "refId": "D",
-                        "expr": "max(max_over_time(arms_system_net_in_errs{host=~\"$host\"}[1m]))",
-                        "legend": "网络接收的错误数"
-                    },
-                    {
-                        "refId": "E",
-                        "expr": "max(max_over_time(arms_system_net_out_errs{host=~\"$host\"}[1m]))",
-                        "legend": "网络丢弃报文数"
-                    }
-                ],
+                "links": [],
+                "maxPerRow": 4,
+                "name": "网络数据包(个)/每分钟",
                 "options": {
-                    "tooltip": {
-                        "mode": "all",
-                        "sort": "none"
-                    },
                     "legend": {
                         "displayMode": "hidden"
                     },
@@ -395,23 +362,80 @@
                         "steps": [
                             {
                                 "color": "#634CD9",
-                                "value": null,
-                                "type": "base"
+                                "type": "base",
+                                "value": null
                             }
                         ]
+                    },
+                    "tooltip": {
+                        "mode": "all",
+                        "sort": "none"
                     }
                 },
-                "custom": {
-                    "version": "3.0.0",
-                    "drawStyle": "lines",
-                    "lineInterpolation": "linear",
-                    "fillOpacity": 0.5,
-                    "stack": "off"
-                },
-                "maxPerRow": 4,
-                "datasourceCate": "prometheus",
-                "datasourceValue": "${datasource}"
+                "targets": [
+                    {
+                        "expr": "max(max_over_time(arms_system_net_in_packets{host=~\"$host\"}[1m]))",
+                        "legend": "网络接收的报文数",
+                        "refId": "A"
+                    },
+                    {
+                        "expr": "max(max_over_time(arms_system_net_out_packets{host=~\"$host\"}[1m]))",
+                        "legend": "网络发送的报文数",
+                        "refId": "C"
+                    },
+                    {
+                        "expr": "max(max_over_time(arms_system_net_in_errs{host=~\"$host\"}[1m]))",
+                        "legend": "网络接收的错误数",
+                        "refId": "D"
+                    },
+                    {
+                        "expr": "max(max_over_time(arms_system_net_out_errs{host=~\"$host\"}[1m]))",
+                        "legend": "网络丢弃报文数",
+                        "refId": "E"
+                    }
+                ],
+                "type": "timeseries",
+                "version": "3.0.0"
             }
-        ]
-    }
+        ],
+        "var": [
+            {
+                "definition": "prometheus",
+                "name": "datasource",
+                "type": "datasource"
+            },
+            {
+                "allOption": false,
+                "datasource": {
+                    "cate": "prometheus",
+                    "value": "${datasource}"
+                },
+                "definition": "label_values(arms_system_cpu_idle,service)",
+                "multi": false,
+                "name": "service",
+                "reg": "",
+                "type": "query"
+            },
+            {
+                "allOption": false,
+                "allValue": "*",
+                "datasource": {
+                    "cate": "prometheus",
+                    "value": "${datasource}"
+                },
+                "definition": "label_values(arms_system_cpu_idle{service=\"$service\"},host)",
+                "multi": false,
+                "name": "host",
+                "reg": "",
+                "type": "query"
+            }
+        ],
+        "version": "3.0.0"
+    },
+    "public": 0,
+    "public_cate": 0,
+    "bgids": null,
+    "built_in": 0,
+    "hide": 0,
+    "uuid": 1717556327098444000
 }

integrations/AliYun/dashboards/cdn.json

@@ -1,352 +1,364 @@
 {
-  "name": "阿里云CDN",
-  "tags": "CDN",
-  "ident": "",
-  "configs": {
-    "var": [
-      {
-        "name": "datasource",
-        "label": "datasource",
-        "type": "datasource",
-        "definition": "prometheus"
-      },
-      {
-        "name": "instance_id",
-        "label": "instance_id",
-        "type": "query",
-        "datasource": {
-          "cate": "prometheus",
-          "value": "${datasource}"
-        },
-        "definition": "label_values(aliyun_acs_cdn_qps_isp_value, instance_id)"
-      }
-    ],
-    "panels": [
-      {
-        "type": "timeseries",
-        "id": "0430c7e9-7372-45e3-9bb2-c5939baf6bfa",
-        "layout": {
-          "h": 4,
-          "w": 8,
-          "x": 0,
-          "y": 0,
-          "i": "0430c7e9-7372-45e3-9bb2-c5939baf6bfa",
-          "isResizable": true
-        },
-        "version": "3.0.0",
-        "datasourceCate": "prometheus",
-        "datasourceValue": "${datasource}",
-        "targets": [
-          {
-            "refId": "A",
-            "expr": "aliyun_acs_cdn_bps_isp_value{instance_id=\"$instance_id\"}",
-            "legend": "峰值 {{instance_id}"
-          },
-          {
-            "expr": "aliyun_acs_cdn_internet_out_average{instance_id=\"$instance_id\"}",
-            "refId": "B",
-            "legend": "均值 {{instance_id}}"
-          }
+    "id": 0,
+    "group_id": 0,
+    "name": "阿里云CDN",
+    "ident": "",
+    "tags": "CDN",
+    "create_at": 0,
+    "create_by": "",
+    "update_at": 0,
+    "update_by": "",
+    "configs": {
+        "panels": [
+            {
+                "custom": {
+                    "drawStyle": "lines",
+                    "fillOpacity": 0.3,
+                    "gradientMode": "opacity",
+                    "lineInterpolation": "smooth",
+                    "lineWidth": 2,
+                    "scaleDistribution": {
+                        "type": "linear"
+                    },
+                    "spanNulls": true,
+                    "stack": "off"
+                },
+                "datasourceCate": "prometheus",
+                "datasourceValue": "${datasource}",
+                "id": "0430c7e9-7372-45e3-9bb2-c5939baf6bfa",
+                "layout": {
+                    "h": 4,
+                    "i": "0430c7e9-7372-45e3-9bb2-c5939baf6bfa",
+                    "isResizable": true,
+                    "w": 8,
+                    "x": 0,
+                    "y": 0
+                },
+                "maxPerRow": 4,
+                "name": "网络带宽(bits/s)",
+                "options": {
+                    "legend": {
+                        "displayMode": "hidden"
+                    },
+                    "standardOptions": {},
+                    "thresholds": {
+                        "steps": [
+                            {
+                                "color": "#634CD9",
+                                "type": "base",
+                                "value": null
+                            }
+                        ]
+                    },
+                    "tooltip": {
+                        "mode": "all",
+                        "sort": "none"
+                    }
+                },
+                "targets": [
+                    {
+                        "expr": "aliyun_acs_cdn_bps_isp_value{instance_id=\"$instance_id\"}",
+                        "legend": "峰值 {{instance_id}",
+                        "refId": "A"
+                    },
+                    {
+                        "expr": "aliyun_acs_cdn_internet_out_average{instance_id=\"$instance_id\"}",
+                        "legend": "均值 {{instance_id}}",
+                        "refId": "B"
+                    }
+                ],
+                "transformations": [
+                    {
+                        "id": "organize",
+                        "options": {}
+                    }
+                ],
+                "type": "timeseries",
+                "version": "3.0.0"
+            },
+            {
+                "custom": {
+                    "drawStyle": "lines",
+                    "fillOpacity": 0.3,
+                    "gradientMode": "opacity",
+                    "lineInterpolation": "smooth",
+                    "lineWidth": 2,
+                    "scaleDistribution": {
+                        "type": "linear"
+                    },
+                    "spanNulls": false,
+                    "stack": "off"
+                },
+                "datasourceCate": "prometheus",
+                "datasourceValue": "${datasource}",
+                "id": "b438ae81-3dfc-4ed8-b66f-262a4b507e4b",
+                "layout": {
+                    "h": 4,
+                    "i": "b438ae81-3dfc-4ed8-b66f-262a4b507e4b",
+                    "isResizable": true,
+                    "w": 8,
+                    "x": 8,
+                    "y": 0
+                },
+                "maxPerRow": 4,
+                "name": "下行流量(bytes)",
+                "options": {
+                    "legend": {
+                        "displayMode": "hidden"
+                    },
+                    "standardOptions": {},
+                    "thresholds": {
+                        "steps": [
+                            {
+                                "color": "#634CD9",
+                                "type": "base",
+                                "value": null
+                            }
+                        ]
+                    },
+                    "tooltip": {
+                        "mode": "all",
+                        "sort": "none"
+                    }
+                },
+                "targets": [
+                    {
+                        "expr": "aliyun_acs_cdn_internet_out_isp_value{instance_id=\"$instance_id\"}",
+                        "legend": "{{instance_id}}",
+                        "refId": "A"
+                    }
+                ],
+                "transformations": [
+                    {
+                        "id": "organize",
+                        "options": {}
+                    }
+                ],
+                "type": "timeseries",
+                "version": "3.0.0"
+            },
+            {
+                "custom": {
+                    "drawStyle": "lines",
+                    "fillOpacity": 0.3,
+                    "gradientMode": "opacity",
+                    "lineInterpolation": "smooth",
+                    "lineWidth": 2,
+                    "scaleDistribution": {
+                        "type": "linear"
+                    },
+                    "spanNulls": false,
+                    "stack": "off"
+                },
+                "datasourceCate": "prometheus",
+                "datasourceValue": "${datasource}",
+                "id": "af0874c7-3123-437a-93bc-448f6de8b43b",
+                "layout": {
+                    "h": 4,
+                    "i": "c6e41c04-d591-4117-bdf1-5dc6e1f4c084",
+                    "isResizable": true,
+                    "w": 8,
+                    "x": 16,
+                    "y": 0
+                },
+                "maxPerRow": 4,
+                "name": "每秒访问次数(个)",
+                "options": {
+                    "legend": {
+                        "displayMode": "hidden"
+                    },
+                    "standardOptions": {},
+                    "thresholds": {
+                        "steps": [
+                            {
+                                "color": "#634CD9",
+                                "type": "base",
+                                "value": null
+                            }
+                        ]
+                    },
+                    "tooltip": {
+                        "mode": "all",
+                        "sort": "none"
+                    }
+                },
+                "targets": [
+                    {
+                        "expr": "aliyun_acs_cdn_qps_isp_value{instance_id=\"$instance_id\"}",
+                        "legend": "{{instance_id}}",
+                        "refId": "A"
+                    }
+                ],
+                "transformations": [
+                    {
+                        "id": "organize",
+                        "options": {}
+                    }
+                ],
+                "type": "timeseries",
+                "version": "3.0.0"
+            },
+            {
+                "custom": {
+                    "drawStyle": "lines",
+                    "fillOpacity": 0.3,
+                    "gradientMode": "opacity",
+                    "lineInterpolation": "smooth",
+                    "lineWidth": 2,
+                    "scaleDistribution": {
+                        "type": "linear"
+                    },
+                    "spanNulls": true,
+                    "stack": "off"
+                },
+                "datasourceCate": "prometheus",
+                "datasourceValue": "${datasource}",
+                "id": "ec8fcf96-1691-4e45-9a5f-2f183021b434",
+                "layout": {
+                    "h": 4,
+                    "i": "ec8fcf96-1691-4e45-9a5f-2f183021b434",
+                    "isResizable": true,
+                    "w": 8,
+                    "x": 0,
+                    "y": 4
+                },
+                "maxPerRow": 4,
+                "name": "边缘状态码4XX占比(%)",
+                "options": {
+                    "legend": {
+                        "displayMode": "hidden"
+                    },
+                    "standardOptions": {
+                        "util": "percent"
+                    },
+                    "thresholds": {
+                        "steps": [
+                            {
+                                "color": "#634CD9",
+                                "type": "base",
+                                "value": null
+                            }
+                        ]
+                    },
+                    "tooltip": {
+                        "mode": "all",
+                        "sort": "none"
+                    }
+                },
+                "targets": [
+                    {
+                        "expr": "aliyun_acs_cdn_code4xx_isp_value{instance_id=\"$instance_id\"}",
+                        "legend": "峰值{{instance_id}}",
+                        "refId": "A"
+                    },
+                    {
+                        "expr": "aliyun_acs_cdn_bps_average{instance_id=\"$instance_id\"}",
+                        "legend": "均值 {{instance_id}}",
+                        "refId": "B"
+                    }
+                ],
+                "transformations": [
+                    {
+                        "id": "organize",
+                        "options": {}
+                    }
+                ],
+                "type": "timeseries",
+                "version": "3.0.0"
+            },
+            {
+                "custom": {
+                    "drawStyle": "lines",
+                    "fillOpacity": 0.3,
+                    "gradientMode": "opacity",
+                    "lineInterpolation": "smooth",
+                    "lineWidth": 2,
+                    "scaleDistribution": {
+                        "type": "linear"
+                    },
+                    "spanNulls": true,
+                    "stack": "off"
+                },
+                "datasourceCate": "prometheus",
+                "datasourceValue": "${datasource}",
+                "id": "25b6e3fa-f6dd-4452-8025-3c7d9a9a592c",
+                "layout": {
+                    "h": 4,
+                    "i": "e884b781-1bd4-476c-a807-a68a6417764e",
+                    "isResizable": true,
+                    "w": 8,
+                    "x": 8,
+                    "y": 4
+                },
+                "maxPerRow": 4,
+                "name": "边缘状态码5XX占比(%)",
+                "options": {
+                    "legend": {
+                        "displayMode": "hidden"
+                    },
+                    "standardOptions": {
+                        "util": "percent"
+                    },
+                    "thresholds": {
+                        "steps": [
+                            {
+                                "color": "#634CD9",
+                                "type": "base",
+                                "value": null
+                            }
+                        ]
+                    },
+                    "tooltip": {
+                        "mode": "all",
+                        "sort": "none"
+                    }
+                },
+                "targets": [
+                    {
+                        "expr": "aliyun_acs_cdn_code5xx_isp_value{instance_id=\"$instance_id\"}",
+                        "legend": "峰值{{instance_id}}",
+                        "refId": "A"
+                    },
+                    {
+                        "expr": "aliyun_acs_cdn_bps_average{instance_id=\"$instance_id\"}",
+                        "legend": "均值 {{instance_id}}",
+                        "refId": "B"
+                    }
+                ],
+                "transformations": [
+                    {
+                        "id": "organize",
+                        "options": {}
+                    }
+                ],
+                "type": "timeseries",
+                "version": "3.0.0"
+            }
         ],
-        "transformations": [
-          {
-            "id": "organize",
-            "options": {}
-          }
+        "var": [
+            {
+                "definition": "prometheus",
+                "label": "datasource",
+                "name": "datasource",
+                "type": "datasource"
+            },
+            {
+                "datasource": {
+                    "cate": "prometheus",
+                    "value": "${datasource}"
+                },
+                "definition": "label_values(aliyun_acs_cdn_qps_isp_value, instance_id)",
+                "label": "instance_id",
+                "name": "instance_id",
+                "type": "query"
+            }
         ],
-        "name": "网络带宽(bits/s)",
-        "maxPerRow": 4,
-        "options": {
-          "tooltip": {
-            "mode": "all",
-            "sort": "none"
-          },
-          "legend": {
-            "displayMode": "hidden"
-          },
-          "standardOptions": {},
-          "thresholds": {
-            "steps": [
-              {
-                "color": "#634CD9",
-                "value": null,
-                "type": "base"
-              }
-            ]
-          }
-        },
-        "custom": {
-          "drawStyle": "lines",
-          "lineInterpolation": "smooth",
-          "spanNulls": true,
-          "lineWidth": 1,
-          "fillOpacity": 0.5,
-          "gradientMode": "none",
-          "stack": "off",
-          "scaleDistribution": {
-            "type": "linear"
-          }
-        }
-      },
-      {
-        "type": "timeseries",
-        "id": "b438ae81-3dfc-4ed8-b66f-262a4b507e4b",
-        "layout": {
-          "h": 4,
-          "w": 8,
-          "x": 8,
-          "y": 0,
-          "i": "b438ae81-3dfc-4ed8-b66f-262a4b507e4b",
-          "isResizable": true
-        },
-        "version": "3.0.0",
-        "datasourceCate": "prometheus",
-        "datasourceValue": "${datasource}",
-        "targets": [
-          {
-            "refId": "A",
-            "expr": "aliyun_acs_cdn_internet_out_isp_value{instance_id=\"$instance_id\"}",
-            "legend": "{{instance_id}}"
-          }
-        ],
-        "transformations": [
-          {
-            "id": "organize",
-            "options": {}
-          }
-        ],
-        "name": "下行流量(bytes)",
-        "maxPerRow": 4,
-        "options": {
-          "tooltip": {
-            "mode": "all",
-            "sort": "none"
-          },
-          "legend": {
-            "displayMode": "hidden"
-          },
-          "standardOptions": {},
-          "thresholds": {
-            "steps": [
-              {
-                "color": "#634CD9",
-                "value": null,
-                "type": "base"
-              }
-            ]
-          }
-        },
-        "custom": {
-          "drawStyle": "lines",
-          "lineInterpolation": "smooth",
-          "spanNulls": false,
-          "lineWidth": 1,
-          "fillOpacity": 0.5,
-          "gradientMode": "none",
-          "stack": "off",
-          "scaleDistribution": {
-            "type": "linear"
-          }
-        }
-      },
-      {
-        "type": "timeseries",
-        "id": "af0874c7-3123-437a-93bc-448f6de8b43b",
-        "layout": {
-          "h": 4,
-          "w": 8,
-          "x": 16,
-          "y": 0,
-          "i": "c6e41c04-d591-4117-bdf1-5dc6e1f4c084",
-          "isResizable": true
-        },
-        "version": "3.0.0",
-        "datasourceCate": "prometheus",
-        "datasourceValue": "${datasource}",
-        "targets": [
-          {
-            "refId": "A",
-            "expr": "aliyun_acs_cdn_qps_isp_value{instance_id=\"$instance_id\"}",
-            "legend": "{{instance_id}}"
-          }
-        ],
-        "transformations": [
-          {
-            "id": "organize",
-            "options": {}
-          }
-        ],
-        "name": "每秒访问次数(个)",
-        "maxPerRow": 4,
-        "options": {
-          "tooltip": {
-            "mode": "all",
-            "sort": "none"
-          },
-          "legend": {
-            "displayMode": "hidden"
-          },
-          "standardOptions": {},
-          "thresholds": {
-            "steps": [
-              {
-                "color": "#634CD9",
-                "value": null,
-                "type": "base"
-              }
-            ]
-          }
-        },
-        "custom": {
-          "drawStyle": "lines",
-          "lineInterpolation": "smooth",
-          "spanNulls": false,
-          "lineWidth": 1,
-          "fillOpacity": 0.5,
-          "gradientMode": "none",
-          "stack": "off",
-          "scaleDistribution": {
-            "type": "linear"
-          }
-        }
-      },
-      {
-        "type": "timeseries",
-        "id": "ec8fcf96-1691-4e45-9a5f-2f183021b434",
-        "layout": {
-          "h": 4,
-          "w": 8,
-          "x": 0,
-          "y": 4,
-          "i": "ec8fcf96-1691-4e45-9a5f-2f183021b434",
-          "isResizable": true
-        },
-        "version": "3.0.0",
-        "datasourceCate": "prometheus",
-        "datasourceValue": "${datasource}",
-        "targets": [
-          {
-            "refId": "A",
-            "expr": "aliyun_acs_cdn_code4xx_isp_value{instance_id=\"$instance_id\"}",
-            "legend": "峰值{{instance_id}}"
-          },
-          {
-            "expr": "aliyun_acs_cdn_bps_average{instance_id=\"$instance_id\"}",
-            "refId": "B",
-            "legend": "均值 {{instance_id}}"
-          }
-        ],
-        "transformations": [
-          {
-            "id": "organize",
-            "options": {}
-          }
-        ],
-        "name": "边缘状态码4XX占比(%)",
-        "maxPerRow": 4,
-        "options": {
-          "tooltip": {
-            "mode": "all",
-            "sort": "none"
-          },
-          "legend": {
-            "displayMode": "hidden"
-          },
-          "standardOptions": {
-            "util": "percent"
-          },
-          "thresholds": {
-            "steps": [
-              {
-                "color": "#634CD9",
-                "value": null,
-                "type": "base"
-              }
-            ]
-          }
-        },
-        "custom": {
-          "drawStyle": "lines",
-          "lineInterpolation": "smooth",
-          "spanNulls": true,
-          "lineWidth": 1,
-          "fillOpacity": 0.5,
-          "gradientMode": "none",
-          "stack": "off",
-          "scaleDistribution": {
-            "type": "linear"
-          }
-        }
-      },
-      {
-        "type": "timeseries",
-        "id": "25b6e3fa-f6dd-4452-8025-3c7d9a9a592c",
-        "layout": {
-          "h": 4,
-          "w": 8,
-          "x": 8,
-          "y": 4,
-          "i": "e884b781-1bd4-476c-a807-a68a6417764e",
-          "isResizable": true
-        },
-        "version": "3.0.0",
-        "datasourceCate": "prometheus",
-        "datasourceValue": "${datasource}",
-        "targets": [
-          {
-            "refId": "A",
-            "expr": "aliyun_acs_cdn_code5xx_isp_value{instance_id=\"$instance_id\"}",
-            "legend": "峰值{{instance_id}}"
-          },
-          {
-            "expr": "aliyun_acs_cdn_bps_average{instance_id=\"$instance_id\"}",
-            "refId": "B",
-            "legend": "均值 {{instance_id}}"
-          }
-        ],
-        "transformations": [
-          {
-            "id": "organize",
-            "options": {}
-          }
-        ],
-        "name": "边缘状态码5XX占比(%)",
-        "maxPerRow": 4,
-        "options": {
-          "tooltip": {
-            "mode": "all",
-            "sort": "none"
-          },
-          "legend": {
-            "displayMode": "hidden"
-          },
-          "standardOptions": {
-            "util": "percent"
-          },
-          "thresholds": {
-            "steps": [
-              {
-                "color": "#634CD9",
-                "value": null,
-                "type": "base"
-              }
-            ]
-          }
-        },
-        "custom": {
-          "drawStyle": "lines",
-          "lineInterpolation": "smooth",
-          "spanNulls": true,
-          "lineWidth": 1,
-          "fillOpacity": 0.5,
-          "gradientMode": "none",
-          "stack": "off",
-          "scaleDistribution": {
-            "type": "linear"
-          }
-        }
-      }
-    ],
-    "version": "3.0.0"
-  }
+        "version": "3.0.0"
+    },
+    "public": 0,
+    "public_cate": 0,
+    "bgids": null,
+    "built_in": 0,
+    "hide": 0,
+    "uuid": 1717556327104499000
 }

integrations/AliYun/dashboards/ecs.json

@@ -1,324 +1,336 @@
 {
-  "name": "阿里云ECS",
-  "tags": "",
-  "ident": "",
-  "configs": {
-    "panels": [
-      {
-        "custom": {
-          "drawStyle": "lines",
-          "fillOpacity": 0.5,
-          "gradientMode": "none",
-          "lineInterpolation": "smooth",
-          "lineWidth": 1,
-          "scaleDistribution": {
-            "type": "linear"
-          },
-          "spanNulls": false,
-          "stack": "off"
-        },
-        "datasourceCate": "prometheus",
-        "datasourceName": "Default",
-        "id": "8606d5ad-c3c7-4b1d-86bf-474d3302ee17",
-        "layout": {
-          "h": 4,
-          "i": "8606d5ad-c3c7-4b1d-86bf-474d3302ee17",
-          "isResizable": true,
-          "w": 12,
-          "x": 0,
-          "y": 0
-        },
-        "maxPerRow": 4,
-        "name": "CPU平均使用率",
-        "options": {
-          "legend": {
-            "displayMode": "hidden"
-          },
-          "standardOptions": {},
-          "thresholds": {
-            "steps": [
-              {
-                "color": "#634CD9",
-                "type": "base",
-                "value": null
-              }
-            ]
-          },
-          "tooltip": {
-            "mode": "all",
-            "sort": "none"
-          }
-        },
-        "targets": [
-          {
-            "expr": "sum(aliyun_acs_ecs_dashboard_cpu_utilization_average{ident=~\"$ident\"}) by (ident,instance_id)",
-            "refId": "A"
-          }
-        ],
-        "type": "timeseries",
-        "version": "2.0.0",
-        "datasourceValue": "${datasource}"
-      },
-      {
-        "custom": {
-          "drawStyle": "lines",
-          "fillOpacity": 0.5,
-          "gradientMode": "none",
-          "lineInterpolation": "smooth",
-          "lineWidth": 1,
-          "scaleDistribution": {
-            "type": "linear"
-          },
-          "spanNulls": false,
-          "stack": "off"
-        },
-        "datasourceCate": "prometheus",
-        "datasourceName": "Default",
-        "id": "c7034fe3-5521-4867-a8bd-429767cc03a2",
-        "layout": {
-          "h": 4,
-          "i": "55404296-0bd9-409d-aeaf-e9c7cceea0dd",
-          "isResizable": true,
-          "w": 12,
-          "x": 12,
-          "y": 0
-        },
-        "maxPerRow": 4,
-        "name": "内存平均使用率",
-        "options": {
-          "legend": {
-            "displayMode": "hidden"
-          },
-          "standardOptions": {},
-          "thresholds": {
-            "steps": [
-              {
-                "color": "#634CD9",
-                "type": "base",
-                "value": null
-              }
-            ]
-          },
-          "tooltip": {
-            "mode": "all",
-            "sort": "none"
-          }
-        },
-        "targets": [
-          {
-            "expr": "sum(aliyun_acs_ecs_dashboard_memory_usedutilization_average{ident=~\"$ident\"}) by (ident,instance_id)",
-            "refId": "A"
-          }
-        ],
-        "type": "timeseries",
-        "version": "2.0.0",
-        "datasourceValue": "${datasource}"
-      },
-      {
-        "custom": {
-          "drawStyle": "lines",
-          "fillOpacity": 0.5,
-          "gradientMode": "none",
-          "lineInterpolation": "smooth",
-          "lineWidth": 1,
-          "scaleDistribution": {
-            "type": "linear"
-          },
-          "spanNulls": false,
-          "stack": "off"
-        },
-        "datasourceCate": "prometheus",
-        "datasourceName": "Default",
-        "id": "e4c11925-b359-4edb-9269-4bdd4d230224",
-        "layout": {
-          "h": 4,
-          "i": "0c7b3a5a-ef12-4349-be9b-7a245bf01418",
-          "isResizable": true,
-          "w": 12,
-          "x": 0,
-          "y": 4
-        },
-        "maxPerRow": 4,
-        "name": "系统负载[5m]",
-        "options": {
-          "legend": {
-            "displayMode": "hidden"
-          },
-          "standardOptions": {
-            "util": "percent"
-          },
-          "thresholds": {
-            "steps": [
-              {
-                "color": "#634CD9",
-                "type": "base",
-                "value": null
-              }
-            ]
-          },
-          "tooltip": {
-            "mode": "all",
-            "sort": "none"
-          }
-        },
-        "targets": [
-          {
-            "expr": "sum(aliyun_acs_ecs_dashboard_load_5m_average{ident=~\"$ident\"}) by (ident,instance_id)",
-            "legend": "{{ident}} {{instance_id}} 5分钟负载",
-            "refId": "B"
-          }
-        ],
-        "type": "timeseries",
-        "version": "2.0.0",
-        "datasourceValue": "${datasource}"
-      },
-      {
-        "custom": {
-          "drawStyle": "lines",
-          "fillOpacity": 0.5,
-          "gradientMode": "none",
-          "lineInterpolation": "smooth",
-          "lineWidth": 1,
-          "scaleDistribution": {
-            "type": "linear"
-          },
-          "spanNulls": false,
-          "stack": "off"
-        },
-        "datasourceCate": "prometheus",
-        "datasourceName": "Default",
-        "id": "388d4da6-eb1f-48f1-955d-37579809dfec",
-        "layout": {
-          "h": 4,
-          "i": "5abea3d2-ea82-4bdb-a4f0-4dd1316c0377",
-          "isResizable": true,
-          "w": 12,
-          "x": 12,
-          "y": 5
-        },
-        "maxPerRow": 4,
-        "name": "磁盘平均使用率",
-        "options": {
-          "legend": {
-            "displayMode": "hidden"
-          },
-          "standardOptions": {
-            "util": "percent"
-          },
-          "thresholds": {
-            "steps": [
-              {
-                "color": "#634CD9",
-                "type": "base",
-                "value": null
-              }
-            ]
-          },
-          "tooltip": {
-            "mode": "all",
-            "sort": "none"
-          }
-        },
-        "targets": [
-          {
-            "expr": "sum(aliyun_acs_ecs_dashboard_diskusage_utilization_average{ident=~\"$ident\"}) by (ident,instance_id)",
-            "refId": "A"
-          }
-        ],
-        "type": "timeseries",
-        "version": "2.0.0",
-        "datasourceValue": "${datasource}"
-      },
-      {
-        "custom": {
-          "drawStyle": "lines",
-          "fillOpacity": 0.5,
-          "gradientMode": "none",
-          "lineInterpolation": "smooth",
-          "lineWidth": 1,
-          "scaleDistribution": {
-            "type": "linear"
-          },
-          "spanNulls": false,
-          "stack": "off"
-        },
-        "datasourceCate": "prometheus",
-        "id": "f8d19cc9-0168-4c13-b9a9-c7980eced974",
-        "layout": {
-          "h": 4,
-          "i": "f8d19cc9-0168-4c13-b9a9-c7980eced974",
-          "w": 12,
-          "x": 0,
-          "y": 9
-        },
-        "maxPerRow": 4,
-        "name": "网络流量",
-        "options": {
-          "legend": {
-            "displayMode": "hidden"
-          },
-          "standardOptions": {
-            "util": "bitsSI"
-          },
-          "thresholds": {
-            "steps": [
-              {
-                "color": "#634CD9",
-                "type": "base",
-                "value": null
-              }
-            ]
-          },
-          "tooltip": {
-            "mode": "all",
-            "sort": "none"
-          }
-        },
-        "targets": [
-          {
-            "expr": "sum(aliyun_acs_ecs_dashboard_intranet_in_average{ident=~\"$ident\"}) by (ident,instance_id)",
-            "legend": "主机：{{ident}} 实例ID: {{instance_id}} 入流量",
-            "refId": "A",
-            "step": 300,
-            "time": {
-              "end": "now",
-              "start": "now-5m"
+    "id": 0,
+    "group_id": 0,
+    "name": "阿里云ECS",
+    "ident": "",
+    "tags": "",
+    "create_at": 0,
+    "create_by": "",
+    "update_at": 0,
+    "update_by": "",
+    "configs": {
+        "panels": [
+            {
+                "custom": {
+                    "drawStyle": "lines",
+                    "fillOpacity": 0.3,
+                    "gradientMode": "opacity",
+                    "lineInterpolation": "smooth",
+                    "lineWidth": 2,
+                    "scaleDistribution": {
+                        "type": "linear"
+                    },
+                    "spanNulls": false,
+                    "stack": "off"
+                },
+                "datasourceCate": "prometheus",
+                "datasourceName": "Default",
+                "datasourceValue": "${datasource}",
+                "id": "8606d5ad-c3c7-4b1d-86bf-474d3302ee17",
+                "layout": {
+                    "h": 4,
+                    "i": "8606d5ad-c3c7-4b1d-86bf-474d3302ee17",
+                    "isResizable": true,
+                    "w": 12,
+                    "x": 0,
+                    "y": 0
+                },
+                "maxPerRow": 4,
+                "name": "CPU平均使用率",
+                "options": {
+                    "legend": {
+                        "displayMode": "hidden"
+                    },
+                    "standardOptions": {},
+                    "thresholds": {
+                        "steps": [
+                            {
+                                "color": "#634CD9",
+                                "type": "base",
+                                "value": null
+                            }
+                        ]
+                    },
+                    "tooltip": {
+                        "mode": "all",
+                        "sort": "none"
+                    }
+                },
+                "targets": [
+                    {
+                        "expr": "sum(aliyun_acs_ecs_dashboard_cpu_utilization_average{ident=~\"$ident\"}) by (ident,instance_id)",
+                        "refId": "A"
+                    }
+                ],
+                "type": "timeseries",
+                "version": "2.0.0"
+            },
+            {
+                "custom": {
+                    "drawStyle": "lines",
+                    "fillOpacity": 0.3,
+                    "gradientMode": "opacity",
+                    "lineInterpolation": "smooth",
+                    "lineWidth": 2,
+                    "scaleDistribution": {
+                        "type": "linear"
+                    },
+                    "spanNulls": false,
+                    "stack": "off"
+                },
+                "datasourceCate": "prometheus",
+                "datasourceName": "Default",
+                "datasourceValue": "${datasource}",
+                "id": "c7034fe3-5521-4867-a8bd-429767cc03a2",
+                "layout": {
+                    "h": 4,
+                    "i": "55404296-0bd9-409d-aeaf-e9c7cceea0dd",
+                    "isResizable": true,
+                    "w": 12,
+                    "x": 12,
+                    "y": 0
+                },
+                "maxPerRow": 4,
+                "name": "内存平均使用率",
+                "options": {
+                    "legend": {
+                        "displayMode": "hidden"
+                    },
+                    "standardOptions": {},
+                    "thresholds": {
+                        "steps": [
+                            {
+                                "color": "#634CD9",
+                                "type": "base",
+                                "value": null
+                            }
+                        ]
+                    },
+                    "tooltip": {
+                        "mode": "all",
+                        "sort": "none"
+                    }
+                },
+                "targets": [
+                    {
+                        "expr": "sum(aliyun_acs_ecs_dashboard_memory_usedutilization_average{ident=~\"$ident\"}) by (ident,instance_id)",
+                        "refId": "A"
+                    }
+                ],
+                "type": "timeseries",
+                "version": "2.0.0"
+            },
+            {
+                "custom": {
+                    "drawStyle": "lines",
+                    "fillOpacity": 0.3,
+                    "gradientMode": "opacity",
+                    "lineInterpolation": "smooth",
+                    "lineWidth": 2,
+                    "scaleDistribution": {
+                        "type": "linear"
+                    },
+                    "spanNulls": false,
+                    "stack": "off"
+                },
+                "datasourceCate": "prometheus",
+                "datasourceName": "Default",
+                "datasourceValue": "${datasource}",
+                "id": "e4c11925-b359-4edb-9269-4bdd4d230224",
+                "layout": {
+                    "h": 4,
+                    "i": "0c7b3a5a-ef12-4349-be9b-7a245bf01418",
+                    "isResizable": true,
+                    "w": 12,
+                    "x": 0,
+                    "y": 4
+                },
+                "maxPerRow": 4,
+                "name": "系统负载[5m]",
+                "options": {
+                    "legend": {
+                        "displayMode": "hidden"
+                    },
+                    "standardOptions": {
+                        "util": "percent"
+                    },
+                    "thresholds": {
+                        "steps": [
+                            {
+                                "color": "#634CD9",
+                                "type": "base",
+                                "value": null
+                            }
+                        ]
+                    },
+                    "tooltip": {
+                        "mode": "all",
+                        "sort": "none"
+                    }
+                },
+                "targets": [
+                    {
+                        "expr": "sum(aliyun_acs_ecs_dashboard_load_5m_average{ident=~\"$ident\"}) by (ident,instance_id)",
+                        "legend": "{{ident}} {{instance_id}} 5分钟负载",
+                        "refId": "B"
+                    }
+                ],
+                "type": "timeseries",
+                "version": "2.0.0"
+            },
+            {
+                "custom": {
+                    "drawStyle": "lines",
+                    "fillOpacity": 0.3,
+                    "gradientMode": "opacity",
+                    "lineInterpolation": "smooth",
+                    "lineWidth": 2,
+                    "scaleDistribution": {
+                        "type": "linear"
+                    },
+                    "spanNulls": false,
+                    "stack": "off"
+                },
+                "datasourceCate": "prometheus",
+                "datasourceName": "Default",
+                "datasourceValue": "${datasource}",
+                "id": "388d4da6-eb1f-48f1-955d-37579809dfec",
+                "layout": {
+                    "h": 4,
+                    "i": "5abea3d2-ea82-4bdb-a4f0-4dd1316c0377",
+                    "isResizable": true,
+                    "w": 12,
+                    "x": 12,
+                    "y": 5
+                },
+                "maxPerRow": 4,
+                "name": "磁盘平均使用率",
+                "options": {
+                    "legend": {
+                        "displayMode": "hidden"
+                    },
+                    "standardOptions": {
+                        "util": "percent"
+                    },
+                    "thresholds": {
+                        "steps": [
+                            {
+                                "color": "#634CD9",
+                                "type": "base",
+                                "value": null
+                            }
+                        ]
+                    },
+                    "tooltip": {
+                        "mode": "all",
+                        "sort": "none"
+                    }
+                },
+                "targets": [
+                    {
+                        "expr": "sum(aliyun_acs_ecs_dashboard_diskusage_utilization_average{ident=~\"$ident\"}) by (ident,instance_id)",
+                        "refId": "A"
+                    }
+                ],
+                "type": "timeseries",
+                "version": "2.0.0"
+            },
+            {
+                "custom": {
+                    "drawStyle": "lines",
+                    "fillOpacity": 0.3,
+                    "gradientMode": "opacity",
+                    "lineInterpolation": "smooth",
+                    "lineWidth": 2,
+                    "scaleDistribution": {
+                        "type": "linear"
+                    },
+                    "spanNulls": false,
+                    "stack": "off"
+                },
+                "datasourceCate": "prometheus",
+                "datasourceValue": "${datasource}",
+                "id": "f8d19cc9-0168-4c13-b9a9-c7980eced974",
+                "layout": {
+                    "h": 4,
+                    "i": "f8d19cc9-0168-4c13-b9a9-c7980eced974",
+                    "w": 12,
+                    "x": 0,
+                    "y": 9
+                },
+                "maxPerRow": 4,
+                "name": "网络流量",
+                "options": {
+                    "legend": {
+                        "displayMode": "hidden"
+                    },
+                    "standardOptions": {
+                        "util": "bitsSI"
+                    },
+                    "thresholds": {
+                        "steps": [
+                            {
+                                "color": "#634CD9",
+                                "type": "base",
+                                "value": null
+                            }
+                        ]
+                    },
+                    "tooltip": {
+                        "mode": "all",
+                        "sort": "none"
+                    }
+                },
+                "targets": [
+                    {
+                        "expr": "sum(aliyun_acs_ecs_dashboard_intranet_in_average{ident=~\"$ident\"}) by (ident,instance_id)",
+                        "legend": "主机：{{ident}} 实例ID: {{instance_id}} 入流量",
+                        "refId": "A",
+                        "step": 300,
+                        "time": {
+                            "end": "now",
+                            "start": "now-5m"
+                        }
+                    },
+                    {
+                        "expr": "sum(aliyun_acs_ecs_dashboard_intranet_out_average{ident=~\"$ident\"}) by (ident,instance_id)",
+                        "legend": "主机：{{ident}} 实例ID: {{instance_id}} 出流量",
+                        "refId": "B",
+                        "step": 300,
+                        "time": {
+                            "end": "now",
+                            "start": "now-5m"
+                        }
+                    }
+                ],
+                "type": "timeseries",
+                "version": "2.0.0"
             }
-          },
-          {
-            "expr": "sum(aliyun_acs_ecs_dashboard_intranet_out_average{ident=~\"$ident\"}) by (ident,instance_id)",
-            "legend": "主机：{{ident}} 实例ID: {{instance_id}} 出流量",
-            "refId": "B",
-            "step": 300,
-            "time": {
-              "end": "now",
-              "start": "now-5m"
-            }
-          }
         ],
-        "type": "timeseries",
-        "version": "2.0.0",
-        "datasourceValue": "${datasource}"
-      }
-    ],
-    "var": [
-      {
-        "name": "datasource",
-        "type": "datasource",
-        "definition": "prometheus"
-      },
-      {
-        "allOption": true,
-        "datasource": {
-          "cate": "prometheus",
-          "value": "${datasource}"
-        },
-        "definition": "label_values(aliyun_acs_ecs_dashboard_cpu_utilization_average,ident)",
-        "multi": true,
-        "name": "ident",
-        "type": "query"
-      }
-    ],
-    "version": "3.0.0"
-  }
+        "var": [
+            {
+                "definition": "prometheus",
+                "name": "datasource",
+                "type": "datasource"
+            },
+            {
+                "allOption": true,
+                "datasource": {
+                    "cate": "prometheus",
+                    "value": "${datasource}"
+                },
+                "definition": "label_values(aliyun_acs_ecs_dashboard_cpu_utilization_average,ident)",
+                "multi": true,
+                "name": "ident",
+                "type": "query"
+            }
+        ],
+        "version": "3.0.0"
+    },
+    "public": 0,
+    "public_cate": 0,
+    "bgids": null,
+    "built_in": 0,
+    "hide": 0,
+    "uuid": 1717556327106006000
 }

integrations/AliYun/dashboards/mse.json

@@ -1,474 +1,486 @@
 {
-  "name": "MSE监控大盘",
-  "tags": "",
-  "ident": "MSE-Monitor",
-  "configs": {
-    "var": [
-      {
-        "name": "datasource",
-        "type": "datasource",
-        "definition": "prometheus"
-      },
-      {
-        "name": "envoy_clusterid",
-        "label": "envoy_clusterid",
-        "type": "query",
-        "hide": false,
-        "definition": "label_values(envoy_cluster_bind_errors, envoy_clusterid)",
-        "multi": false,
-        "datasource": {
-          "cate": "prometheus",
-          "value": "${datasource}"
-        }
-      }
-    ],
-    "panels": [
-      {
-        "type": "stat",
-        "id": "aba69dc0-5a11-4bcd-add9-335b5a677bee",
-        "layout": {
-          "h": 5,
-          "w": 6,
-          "x": 0,
-          "y": 0,
-          "i": "aba69dc0-5a11-4bcd-add9-335b5a677bee",
-          "isResizable": true
-        },
-        "version": "3.0.0",
-        "datasourceCate": "prometheus",
-        "datasourceValue": 7,
-        "targets": [
-          {
-            "refId": "A",
-            "expr": "sum(delta(envoy_http_rq_total{envoy_clusterid=\"$envoy_clusterid\"}[1m]))"
-          }
+    "id": 0,
+    "group_id": 0,
+    "name": "MSE监控大盘",
+    "ident": "MSE-Monitor",
+    "tags": "",
+    "create_at": 0,
+    "create_by": "",
+    "update_at": 0,
+    "update_by": "",
+    "configs": {
+        "panels": [
+            {
+                "custom": {
+                    "calc": "lastNotNull",
+                    "colSpan": 1,
+                    "colorMode": "value",
+                    "graphMode": "none",
+                    "textMode": "valueAndName",
+                    "textSize": {},
+                    "valueField": "Value"
+                },
+                "datasourceCate": "prometheus",
+                "datasourceValue": 7,
+                "id": "aba69dc0-5a11-4bcd-add9-335b5a677bee",
+                "layout": {
+                    "h": 5,
+                    "i": "aba69dc0-5a11-4bcd-add9-335b5a677bee",
+                    "isResizable": true,
+                    "w": 6,
+                    "x": 0,
+                    "y": 0
+                },
+                "maxPerRow": 4,
+                "name": "PV（一分钟）",
+                "options": {
+                    "standardOptions": {},
+                    "thresholds": {
+                        "steps": [
+                            {
+                                "color": "#634CD9",
+                                "type": "base",
+                                "value": null
+                            }
+                        ]
+                    }
+                },
+                "targets": [
+                    {
+                        "expr": "sum(delta(envoy_http_rq_total{envoy_clusterid=\"$envoy_clusterid\"}[1m]))",
+                        "refId": "A"
+                    }
+                ],
+                "transformations": [
+                    {
+                        "id": "organize",
+                        "options": {}
+                    }
+                ],
+                "type": "stat",
+                "version": "3.0.0"
+            },
+            {
+                "custom": {
+                    "calc": "lastNotNull",
+                    "detailName": "详情",
+                    "legengPosition": "right"
+                },
+                "datasourceCate": "prometheus",
+                "datasourceValue": 7,
+                "id": "e34a272e-6125-4afa-a2c1-80d7d9078673",
+                "layout": {
+                    "h": 5,
+                    "i": "116a5607-5860-426e-a560-d3241da88b57",
+                    "isResizable": true,
+                    "w": 9,
+                    "x": 6,
+                    "y": 0
+                },
+                "maxPerRow": 4,
+                "name": "请求成功率",
+                "options": {
+                    "standardOptions": {
+                        "decimals": 0,
+                        "util": "percentUnit"
+                    }
+                },
+                "targets": [
+                    {
+                        "expr": "sum(delta(envoy_http_downstream_rq{envoy_clusterid=\"$envoy_clusterid\"}[3m])) by (response_code_class)",
+                        "legend": "",
+                        "refId": "A"
+                    }
+                ],
+                "transformations": [
+                    {
+                        "id": "organize",
+                        "options": {}
+                    }
+                ],
+                "type": "pie",
+                "version": "3.0.0"
+            },
+            {
+                "custom": {
+                    "drawStyle": "lines",
+                    "fillOpacity": 0.3,
+                    "gradientMode": "opacity",
+                    "lineInterpolation": "smooth",
+                    "lineWidth": 2,
+                    "scaleDistribution": {
+                        "type": "linear"
+                    },
+                    "spanNulls": false,
+                    "stack": "off"
+                },
+                "datasourceCate": "prometheus",
+                "datasourceValue": 7,
+                "id": "a8917108-58a6-479a-8ec4-571f1b5a79c2",
+                "layout": {
+                    "h": 5,
+                    "i": "9be66a1f-c0bb-47dc-a3c0-ad43b588789b",
+                    "isResizable": true,
+                    "w": 9,
+                    "x": 15,
+                    "y": 0
+                },
+                "maxPerRow": 4,
+                "name": "请求量（一分钟）",
+                "options": {
+                    "legend": {
+                        "displayMode": "list"
+                    },
+                    "standardOptions": {
+                        "util": "bytesSI"
+                    },
+                    "thresholds": {
+                        "steps": [
+                            {
+                                "color": "#634CD9",
+                                "type": "base",
+                                "value": null
+                            }
+                        ]
+                    },
+                    "tooltip": {
+                        "mode": "all",
+                        "sort": "none"
+                    }
+                },
+                "targets": [
+                    {
+                        "expr": "sum(delta(envoy_http_downstream_cx_rx_bytes_total{envoy_clusterid=\"$envoy_clusterid\"}[1m]))",
+                        "legend": "",
+                        "refId": "A"
+                    }
+                ],
+                "transformations": [
+                    {
+                        "id": "organize",
+                        "options": {}
+                    }
+                ],
+                "type": "timeseries",
+                "version": "3.0.0"
+            },
+            {
+                "custom": {
+                    "drawStyle": "lines",
+                    "fillOpacity": 0.3,
+                    "gradientMode": "opacity",
+                    "lineInterpolation": "smooth",
+                    "lineWidth": 2,
+                    "scaleDistribution": {
+                        "type": "linear"
+                    },
+                    "spanNulls": false,
+                    "stack": "off"
+                },
+                "datasourceCate": "prometheus",
+                "datasourceValue": 7,
+                "id": "1b102bee-ccc9-49a0-a1d1-cc097bb6a987",
+                "layout": {
+                    "h": 6,
+                    "i": "1b102bee-ccc9-49a0-a1d1-cc097bb6a987",
+                    "isResizable": true,
+                    "w": 8,
+                    "x": 0,
+                    "y": 5
+                },
+                "maxPerRow": 4,
+                "name": "平均延迟",
+                "options": {
+                    "legend": {
+                        "displayMode": "list"
+                    },
+                    "standardOptions": {
+                        "util": "milliseconds"
+                    },
+                    "thresholds": {
+                        "steps": [
+                            {
+                                "color": "#634CD9",
+                                "type": "base",
+                                "value": null
+                            }
+                        ]
+                    },
+                    "tooltip": {
+                        "mode": "all",
+                        "sort": "none"
+                    }
+                },
+                "targets": [
+                    {
+                        "expr": "sum(rate(envoy_http_downstream_rq_time_sum{envoy_clusterid=\"$envoy_clusterid\"}[10m])) / sum(rate(envoy_http_downstream_rq_time_count{envoy_clusterid=\"$envoy_clusterid\"}[10m]))",
+                        "legend": "",
+                        "refId": "A"
+                    }
+                ],
+                "transformations": [
+                    {
+                        "id": "organize",
+                        "options": {}
+                    }
+                ],
+                "type": "timeseries",
+                "version": "3.0.0"
+            },
+            {
+                "custom": {
+                    "drawStyle": "lines",
+                    "fillOpacity": 0.3,
+                    "gradientMode": "opacity",
+                    "lineInterpolation": "smooth",
+                    "lineWidth": 2,
+                    "scaleDistribution": {
+                        "type": "linear"
+                    },
+                    "spanNulls": false,
+                    "stack": "off"
+                },
+                "datasourceCate": "prometheus",
+                "datasourceValue": 7,
+                "id": "b432fc11-2f9d-4b72-826b-6ca787401859",
+                "layout": {
+                    "h": 6,
+                    "i": "ea4c1073-07d3-4adc-a4d3-4812cc55ad7c",
+                    "isResizable": true,
+                    "w": 8,
+                    "x": 8,
+                    "y": 5
+                },
+                "maxPerRow": 4,
+                "name": "P95",
+                "options": {
+                    "legend": {
+                        "displayMode": "list"
+                    },
+                    "standardOptions": {
+                        "util": "milliseconds"
+                    },
+                    "thresholds": {
+                        "steps": [
+                            {
+                                "color": "#634CD9",
+                                "type": "base",
+                                "value": null
+                            }
+                        ]
+                    },
+                    "tooltip": {
+                        "mode": "all",
+                        "sort": "none"
+                    }
+                },
+                "targets": [
+                    {
+                        "expr": "histogram_quantile(0.95, sum(rate(envoy_http_downstream_rq_time_bucket{envoy_clusterid=\"$envoy_clusterid\"}[10m])) by (le, service))",
+                        "legend": "",
+                        "refId": "A"
+                    }
+                ],
+                "transformations": [
+                    {
+                        "id": "organize",
+                        "options": {}
+                    }
+                ],
+                "type": "timeseries",
+                "version": "3.0.0"
+            },
+            {
+                "custom": {
+                    "drawStyle": "lines",
+                    "fillOpacity": 0.3,
+                    "gradientMode": "opacity",
+                    "lineInterpolation": "smooth",
+                    "lineWidth": 2,
+                    "scaleDistribution": {
+                        "type": "linear"
+                    },
+                    "spanNulls": false,
+                    "stack": "off"
+                },
+                "datasourceCate": "prometheus",
+                "datasourceValue": 7,
+                "id": "9062d707-d8a7-4a93-82e5-46f6059e8d70",
+                "layout": {
+                    "h": 6,
+                    "i": "d36246b9-4a9c-4ab0-9171-c5ac330be0ca",
+                    "isResizable": true,
+                    "w": 8,
+                    "x": 16,
+                    "y": 5
+                },
+                "maxPerRow": 4,
+                "name": "QPS",
+                "options": {
+                    "legend": {
+                        "displayMode": "list"
+                    },
+                    "standardOptions": {
+                        "util": "none"
+                    },
+                    "thresholds": {
+                        "steps": [
+                            {
+                                "color": "#634CD9",
+                                "type": "base",
+                                "value": null
+                            }
+                        ]
+                    },
+                    "tooltip": {
+                        "mode": "all",
+                        "sort": "none"
+                    }
+                },
+                "targets": [
+                    {
+                        "expr": "sum(irate(envoy_http_downstream_rq{envoy_clusterid=\"$envoy_clusterid\"}[2m]))",
+                        "legend": "",
+                        "refId": "A"
+                    }
+                ],
+                "transformations": [
+                    {
+                        "id": "organize",
+                        "options": {}
+                    }
+                ],
+                "type": "timeseries",
+                "version": "3.0.0"
+            },
+            {
+                "custom": {
+                    "baseColor": "#9470FF",
+                    "calc": "lastNotNull",
+                    "serieWidth": 40,
+                    "sortOrder": "desc"
+                },
+                "datasourceCate": "prometheus",
+                "datasourceValue": 7,
+                "id": "c3f64cfd-adb2-4316-bb84-55f88ed513a3",
+                "layout": {
+                    "h": 6,
+                    "i": "807c34f9-bd61-4da3-ad88-41bb3e045605",
+                    "isResizable": true,
+                    "w": 24,
+                    "x": 0,
+                    "y": 11
+                },
+                "maxPerRow": 4,
+                "name": "Top Service Request",
+                "options": {
+                    "standardOptions": {}
+                },
+                "targets": [
+                    {
+                        "expr": "label_replace(label_replace(topk(10, sum(delta(envoy_cluster_upstream_rq_total{envoy_clusterid=\"$envoy_clusterid\", cluster_name=~\"outbound_([0-9]+)_(.*)_(.*).svc.cluster.local$\", cluster_name!~\".*waf-proxy.static\", cluster_name!~\"outbound_([0-9]+)_(.*)_kubernetes.default.svc.cluster.local\", cluster_name!~\"outbound_([0-9]+)_(.*)_(.*).kube-system.svc.cluster.local\", cluster_name!~\"outbound_([0-9]+)_(.*)_(.*).arms-prom.svc.cluster.local\"}[1m])) by (cluster_name)), \"service_name\", \"$3\", \"cluster_name\", \"outbound_([0-9]+)_(.*)_(.*).svc.cluster.local$\"), \"port\", \"$1\", \"cluster_name\", \"outbound_([0-9]+)_(.*)_(.*).svc.cluster.local$\")",
+                        "legend": "{{service_name}}:{{port}}",
+                        "refId": "A"
+                    }
+                ],
+                "transformations": [
+                    {
+                        "id": "organize",
+                        "options": {}
+                    }
+                ],
+                "type": "barGauge",
+                "version": "3.0.0"
+            },
+            {
+                "custom": {
+                    "drawStyle": "lines",
+                    "fillOpacity": 0.3,
+                    "gradientMode": "opacity",
+                    "lineInterpolation": "smooth",
+                    "lineWidth": 2,
+                    "scaleDistribution": {
+                        "type": "linear"
+                    },
+                    "spanNulls": false,
+                    "stack": "off"
+                },
+                "datasourceCate": "prometheus",
+                "datasourceValue": 7,
+                "id": "8df57678-ff19-4b63-b768-4dad3f12222b",
+                "layout": {
+                    "h": 5,
+                    "i": "44f413ba-3262-4ccf-a4b1-c1165bafaaff",
+                    "isResizable": true,
+                    "w": 24,
+                    "x": 0,
+                    "y": 17
+                },
+                "maxPerRow": 4,
+                "name": "Top Service RT",
+                "options": {
+                    "legend": {
+                        "displayMode": "hidden"
+                    },
+                    "standardOptions": {
+                        "util": "milliseconds"
+                    },
+                    "thresholds": {
+                        "steps": [
+                            {
+                                "color": "#634CD9",
+                                "type": "base",
+                                "value": null
+                            }
+                        ]
+                    },
+                    "tooltip": {
+                        "mode": "all",
+                        "sort": "none"
+                    }
+                },
+                "targets": [
+                    {
+                        "expr": "label_replace(label_replace(avg(delta(envoy_cluster_upstream_rq_time_sum{envoy_clusterid=\"$envoy_clusterid\", cluster_name=~\"outbound_([0-9]+)_(.*)_(.*)$\"}[3m])) by (cluster_name) / avg(delta(envoy_cluster_upstream_rq_time_count{envoy_clusterid=\"$envoy_clusterid\", cluster_name=~\"outbound_([0-9]+)_(.*)_(.*)$\"}[1m])) by (cluster_name), \"service_name\", \"$3\", \"cluster_name\", \"outbound_([0-9]+)_(.*)_(.*)$\"), \"port\", \"$1\", \"cluster_name\", \"outbound_([0-9]+)_(.*)_(.*)$\")",
+                        "legend": "{{service_name}}:{{port}}",
+                        "refId": "A"
+                    }
+                ],
+                "transformations": [
+                    {
+                        "id": "organize",
+                        "options": {}
+                    }
+                ],
+                "type": "timeseries",
+                "version": "3.0.0"
+            }
         ],
-        "transformations": [
-          {
-            "id": "organize",
-            "options": {}
-          }
+        "var": [
+            {
+                "definition": "prometheus",
+                "name": "datasource",
+                "type": "datasource"
+            },
+            {
+                "datasource": {
+                    "cate": "prometheus",
+                    "value": "${datasource}"
+                },
+                "definition": "label_values(envoy_cluster_bind_errors, envoy_clusterid)",
+                "hide": false,
+                "label": "envoy_clusterid",
+                "multi": false,
+                "name": "envoy_clusterid",
+                "type": "query"
+            }
         ],
-        "name": "PV（一分钟）",
-        "maxPerRow": 4,
-        "custom": {
-          "textMode": "valueAndName",
-          "graphMode": "none",
-          "colorMode": "value",
-          "calc": "lastNotNull",
-          "valueField": "Value",
-          "colSpan": 1,
-          "textSize": {}
-        },
-        "options": {
-          "thresholds": {
-            "steps": [
-              {
-                "color": "#634CD9",
-                "value": null,
-                "type": "base"
-              }
-            ]
-          },
-          "standardOptions": {}
-        }
-      },
-      {
-        "type": "pie",
-        "id": "e34a272e-6125-4afa-a2c1-80d7d9078673",
-        "layout": {
-          "h": 5,
-          "w": 9,
-          "x": 6,
-          "y": 0,
-          "i": "116a5607-5860-426e-a560-d3241da88b57",
-          "isResizable": true
-        },
-        "version": "3.0.0",
-        "datasourceCate": "prometheus",
-        "datasourceValue": 7,
-        "targets": [
-          {
-            "refId": "A",
-            "expr": "sum(delta(envoy_http_downstream_rq{envoy_clusterid=\"$envoy_clusterid\"}[3m])) by (response_code_class)",
-            "legend": ""
-          }
-        ],
-        "transformations": [
-          {
-            "id": "organize",
-            "options": {}
-          }
-        ],
-        "name": "请求成功率",
-        "maxPerRow": 4,
-        "custom": {
-          "calc": "lastNotNull",
-          "legengPosition": "right",
-          "detailName": "详情"
-        },
-        "options": {
-          "standardOptions": {
-            "util": "percentUnit",
-            "decimals": 0
-          }
-        }
-      },
-      {
-        "type": "timeseries",
-        "id": "a8917108-58a6-479a-8ec4-571f1b5a79c2",
-        "layout": {
-          "h": 5,
-          "w": 9,
-          "x": 15,
-          "y": 0,
-          "i": "9be66a1f-c0bb-47dc-a3c0-ad43b588789b",
-          "isResizable": true
-        },
-        "version": "3.0.0",
-        "datasourceCate": "prometheus",
-        "datasourceValue": 7,
-        "targets": [
-          {
-            "refId": "A",
-            "expr": "sum(delta(envoy_http_downstream_cx_rx_bytes_total{envoy_clusterid=\"$envoy_clusterid\"}[1m]))",
-            "legend": ""
-          }
-        ],
-        "transformations": [
-          {
-            "id": "organize",
-            "options": {}
-          }
-        ],
-        "name": "请求量（一分钟）",
-        "maxPerRow": 4,
-        "options": {
-          "tooltip": {
-            "mode": "all",
-            "sort": "none"
-          },
-          "legend": {
-            "displayMode": "list"
-          },
-          "standardOptions": {
-            "util": "bytesSI"
-          },
-          "thresholds": {
-            "steps": [
-              {
-                "color": "#634CD9",
-                "value": null,
-                "type": "base"
-              }
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-        },
-        "custom": {
-          "drawStyle": "lines",
-          "lineInterpolation": "smooth",
-          "spanNulls": false,
-          "lineWidth": 1,
-          "fillOpacity": 0.5,
-          "gradientMode": "none",
-          "stack": "off",
-          "scaleDistribution": {
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-          }
-        }
-      },
-      {
-        "type": "timeseries",
-        "id": "1b102bee-ccc9-49a0-a1d1-cc097bb6a987",
-        "layout": {
-          "h": 6,
-          "w": 8,
-          "x": 0,
-          "y": 5,
-          "i": "1b102bee-ccc9-49a0-a1d1-cc097bb6a987",
-          "isResizable": true
-        },
-        "version": "3.0.0",
-        "datasourceCate": "prometheus",
-        "datasourceValue": 7,
-        "targets": [
-          {
-            "refId": "A",
-            "expr": "sum(rate(envoy_http_downstream_rq_time_sum{envoy_clusterid=\"$envoy_clusterid\"}[10m])) / sum(rate(envoy_http_downstream_rq_time_count{envoy_clusterid=\"$envoy_clusterid\"}[10m]))",
-            "legend": ""
-          }
-        ],
-        "transformations": [
-          {
-            "id": "organize",
-            "options": {}
-          }
-        ],
-        "name": "平均延迟",
-        "maxPerRow": 4,
-        "options": {
-          "tooltip": {
-            "mode": "all",
-            "sort": "none"
-          },
-          "legend": {
-            "displayMode": "list"
-          },
-          "standardOptions": {
-            "util": "milliseconds"
-          },
-          "thresholds": {
-            "steps": [
-              {
-                "color": "#634CD9",
-                "value": null,
-                "type": "base"
-              }
-            ]
-          }
-        },
-        "custom": {
-          "drawStyle": "lines",
-          "lineInterpolation": "smooth",
-          "spanNulls": false,
-          "lineWidth": 1,
-          "fillOpacity": 0.5,
-          "gradientMode": "none",
-          "stack": "off",
-          "scaleDistribution": {
-            "type": "linear"
-          }
-        }
-      },
-      {
-        "type": "timeseries",
-        "id": "b432fc11-2f9d-4b72-826b-6ca787401859",
-        "layout": {
-          "h": 6,
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-          "x": 8,
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-          "isResizable": true
-        },
-        "version": "3.0.0",
-        "datasourceCate": "prometheus",
-        "datasourceValue": 7,
-        "targets": [
-          {
-            "refId": "A",
-            "expr": "histogram_quantile(0.95, sum(rate(envoy_http_downstream_rq_time_bucket{envoy_clusterid=\"$envoy_clusterid\"}[10m])) by (le, service))",
-            "legend": ""
-          }
-        ],
-        "transformations": [
-          {
-            "id": "organize",
-            "options": {}
-          }
-        ],
-        "name": "P95",
-        "maxPerRow": 4,
-        "options": {
-          "tooltip": {
-            "mode": "all",
-            "sort": "none"
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-          "legend": {
-            "displayMode": "list"
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-          "standardOptions": {
-            "util": "milliseconds"
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-          "thresholds": {
-            "steps": [
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-                "color": "#634CD9",
-                "value": null,
-                "type": "base"
-              }
-            ]
-          }
-        },
-        "custom": {
-          "drawStyle": "lines",
-          "lineInterpolation": "smooth",
-          "spanNulls": false,
-          "lineWidth": 1,
-          "fillOpacity": 0.5,
-          "gradientMode": "none",
-          "stack": "off",
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-          }
-        }
-      },
-      {
-        "type": "timeseries",
-        "id": "9062d707-d8a7-4a93-82e5-46f6059e8d70",
-        "layout": {
-          "h": 6,
-          "w": 8,
-          "x": 16,
-          "y": 5,
-          "i": "d36246b9-4a9c-4ab0-9171-c5ac330be0ca",
-          "isResizable": true
-        },
-        "version": "3.0.0",
-        "datasourceCate": "prometheus",
-        "datasourceValue": 7,
-        "targets": [
-          {
-            "refId": "A",
-            "expr": "sum(irate(envoy_http_downstream_rq{envoy_clusterid=\"$envoy_clusterid\"}[2m]))",
-            "legend": ""
-          }
-        ],
-        "transformations": [
-          {
-            "id": "organize",
-            "options": {}
-          }
-        ],
-        "name": "QPS",
-        "maxPerRow": 4,
-        "options": {
-          "tooltip": {
-            "mode": "all",
-            "sort": "none"
-          },
-          "legend": {
-            "displayMode": "list"
-          },
-          "standardOptions": {
-            "util": "none"
-          },
-          "thresholds": {
-            "steps": [
-              {
-                "color": "#634CD9",
-                "value": null,
-                "type": "base"
-              }
-            ]
-          }
-        },
-        "custom": {
-          "drawStyle": "lines",
-          "lineInterpolation": "smooth",
-          "spanNulls": false,
-          "lineWidth": 1,
-          "fillOpacity": 0.5,
-          "gradientMode": "none",
-          "stack": "off",
-          "scaleDistribution": {
-            "type": "linear"
-          }
-        }
-      },
-      {
-        "type": "barGauge",
-        "id": "c3f64cfd-adb2-4316-bb84-55f88ed513a3",
-        "layout": {
-          "h": 6,
-          "w": 24,
-          "x": 0,
-          "y": 11,
-          "i": "807c34f9-bd61-4da3-ad88-41bb3e045605",
-          "isResizable": true
-        },
-        "version": "3.0.0",
-        "datasourceCate": "prometheus",
-        "datasourceValue": 7,
-        "targets": [
-          {
-            "refId": "A",
-            "expr": "label_replace(label_replace(topk(10, sum(delta(envoy_cluster_upstream_rq_total{envoy_clusterid=\"$envoy_clusterid\", cluster_name=~\"outbound_([0-9]+)_(.*)_(.*).svc.cluster.local$\", cluster_name!~\".*waf-proxy.static\", cluster_name!~\"outbound_([0-9]+)_(.*)_kubernetes.default.svc.cluster.local\", cluster_name!~\"outbound_([0-9]+)_(.*)_(.*).kube-system.svc.cluster.local\", cluster_name!~\"outbound_([0-9]+)_(.*)_(.*).arms-prom.svc.cluster.local\"}[1m])) by (cluster_name)), \"service_name\", \"$3\", \"cluster_name\", \"outbound_([0-9]+)_(.*)_(.*).svc.cluster.local$\"), \"port\", \"$1\", \"cluster_name\", \"outbound_([0-9]+)_(.*)_(.*).svc.cluster.local$\")",
-            "legend": "{{service_name}}:{{port}}"
-          }
-        ],
-        "transformations": [
-          {
-            "id": "organize",
-            "options": {}
-          }
-        ],
-        "name": "Top Service Request",
-        "maxPerRow": 4,
-        "custom": {
-          "calc": "lastNotNull",
-          "baseColor": "#9470FF",
-          "serieWidth": 40,
-          "sortOrder": "desc"
-        },
-        "options": {
-          "standardOptions": {}
-        }
-      },
-      {
-        "type": "timeseries",
-        "id": "8df57678-ff19-4b63-b768-4dad3f12222b",
-        "layout": {
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-          "w": 24,
-          "x": 0,
-          "y": 17,
-          "i": "44f413ba-3262-4ccf-a4b1-c1165bafaaff",
-          "isResizable": true
-        },
-        "version": "3.0.0",
-        "datasourceCate": "prometheus",
-        "datasourceValue": 7,
-        "targets": [
-          {
-            "refId": "A",
-            "expr": "label_replace(label_replace(avg(delta(envoy_cluster_upstream_rq_time_sum{envoy_clusterid=\"$envoy_clusterid\", cluster_name=~\"outbound_([0-9]+)_(.*)_(.*)$\"}[3m])) by (cluster_name) / avg(delta(envoy_cluster_upstream_rq_time_count{envoy_clusterid=\"$envoy_clusterid\", cluster_name=~\"outbound_([0-9]+)_(.*)_(.*)$\"}[1m])) by (cluster_name), \"service_name\", \"$3\", \"cluster_name\", \"outbound_([0-9]+)_(.*)_(.*)$\"), \"port\", \"$1\", \"cluster_name\", \"outbound_([0-9]+)_(.*)_(.*)$\")",
-            "legend": "{{service_name}}:{{port}}"
-          }
-        ],
-        "transformations": [
-          {
-            "id": "organize",
-            "options": {}
-          }
-        ],
-        "name": "Top Service RT",
-        "maxPerRow": 4,
-        "options": {
-          "tooltip": {
-            "mode": "all",
-            "sort": "none"
-          },
-          "legend": {
-            "displayMode": "hidden"
-          },
-          "standardOptions": {
-            "util": "milliseconds"
-          },
-          "thresholds": {
-            "steps": [
-              {
-                "color": "#634CD9",
-                "value": null,
-                "type": "base"
-              }
-            ]
-          }
-        },
-        "custom": {
-          "drawStyle": "lines",
-          "lineInterpolation": "smooth",
-          "spanNulls": false,
-          "lineWidth": 1,
-          "fillOpacity": 0.5,
-          "gradientMode": "none",
-          "stack": "off",
-          "scaleDistribution": {
-            "type": "linear"
-          }
-        }
-      }
-    ],
-    "version": "3.0.0"
-  }
+        "version": "3.0.0"
+    },
+    "public": 0,
+    "public_cate": 0,
+    "bgids": null,
+    "built_in": 0,
+    "hide": 0,
+    "uuid": 1717556327111860000
 }

integrations/AliYun/dashboards/rds.json

@@ -1,334 +1,346 @@
 {
-  "name": "阿里云RDS",
-  "tags": "",
-  "ident": "",
-  "configs": {
-    "panels": [
-      {
-        "custom": {
-          "drawStyle": "lines",
-          "fillOpacity": 0.5,
-          "gradientMode": "none",
-          "lineInterpolation": "smooth",
-          "lineWidth": 1,
-          "scaleDistribution": {
-            "type": "linear"
-          },
-          "spanNulls": false,
-          "stack": "off"
-        },
-        "datasourceCate": "prometheus",
-        "datasourceValue": "${datasource}",
-        "id": "01f4d444-aa2d-466d-9615-c76baf60a40c",
-        "layout": {
-          "h": 4,
-          "i": "01f4d444-aa2d-466d-9615-c76baf60a40c",
-          "isResizable": true,
-          "w": 12,
-          "x": 0,
-          "y": 0
-        },
-        "maxPerRow": 4,
-        "name": "CPU平均使用率",
-        "options": {
-          "legend": {
-            "displayMode": "hidden"
-          },
-          "standardOptions": {},
-          "thresholds": {
-            "steps": [
-              {
-                "color": "#634CD9",
-                "type": "base",
-                "value": null
-              }
-            ]
-          },
-          "tooltip": {
-            "mode": "all",
-            "sort": "none"
-          }
-        },
-        "targets": [
-          {
-            "expr": "sum(aliyun_acs_rds_dashboard_cpu_usage_average{instance_id=\"$instance_id\"}) by (instance_id)",
-            "legend": "",
-            "refId": "A"
-          }
+    "id": 0,
+    "group_id": 0,
+    "name": "阿里云RDS",
+    "ident": "",
+    "tags": "",
+    "create_at": 0,
+    "create_by": "",
+    "update_at": 0,
+    "update_by": "",
+    "configs": {
+        "panels": [
+            {
+                "custom": {
+                    "drawStyle": "lines",
+                    "fillOpacity": 0.3,
+                    "gradientMode": "opacity",
+                    "lineInterpolation": "smooth",
+                    "lineWidth": 2,
+                    "scaleDistribution": {
+                        "type": "linear"
+                    },
+                    "spanNulls": false,
+                    "stack": "off"
+                },
+                "datasourceCate": "prometheus",
+                "datasourceValue": "${datasource}",
+                "id": "01f4d444-aa2d-466d-9615-c76baf60a40c",
+                "layout": {
+                    "h": 4,
+                    "i": "01f4d444-aa2d-466d-9615-c76baf60a40c",
+                    "isResizable": true,
+                    "w": 12,
+                    "x": 0,
+                    "y": 0
+                },
+                "maxPerRow": 4,
+                "name": "CPU平均使用率",
+                "options": {
+                    "legend": {
+                        "displayMode": "hidden"
+                    },
+                    "standardOptions": {},
+                    "thresholds": {
+                        "steps": [
+                            {
+                                "color": "#634CD9",
+                                "type": "base",
+                                "value": null
+                            }
+                        ]
+                    },
+                    "tooltip": {
+                        "mode": "all",
+                        "sort": "none"
+                    }
+                },
+                "targets": [
+                    {
+                        "expr": "sum(aliyun_acs_rds_dashboard_cpu_usage_average{instance_id=\"$instance_id\"}) by (instance_id)",
+                        "legend": "",
+                        "refId": "A"
+                    }
+                ],
+                "type": "timeseries",
+                "version": "2.0.0"
+            },
+            {
+                "custom": {
+                    "drawStyle": "lines",
+                    "fillOpacity": 0.3,
+                    "gradientMode": "opacity",
+                    "lineInterpolation": "smooth",
+                    "lineWidth": 2,
+                    "scaleDistribution": {
+                        "type": "linear"
+                    },
+                    "spanNulls": false,
+                    "stack": "off"
+                },
+                "datasourceCate": "prometheus",
+                "datasourceValue": "${datasource}",
+                "id": "c43eb882-915f-4c38-a0b5-8f33c21ab44a",
+                "layout": {
+                    "h": 4,
+                    "i": "09903231-6557-42be-9cf3-2873878e9bf2",
+                    "isResizable": true,
+                    "w": 12,
+                    "x": 12,
+                    "y": 0
+                },
+                "maxPerRow": 4,
+                "name": "内存平均使用率",
+                "options": {
+                    "legend": {
+                        "displayMode": "hidden"
+                    },
+                    "standardOptions": {},
+                    "thresholds": {
+                        "steps": [
+                            {
+                                "color": "#634CD9",
+                                "type": "base",
+                                "value": null
+                            }
+                        ]
+                    },
+                    "tooltip": {
+                        "mode": "all",
+                        "sort": "none"
+                    }
+                },
+                "targets": [
+                    {
+                        "expr": "sum(aliyun_acs_rds_dashboard_memory_usage_average{instance_id=\"$instance_id\"}) by (instance_id)",
+                        "legend": "",
+                        "refId": "A"
+                    }
+                ],
+                "type": "timeseries",
+                "version": "2.0.0"
+            },
+            {
+                "custom": {
+                    "drawStyle": "lines",
+                    "fillOpacity": 0.3,
+                    "gradientMode": "opacity",
+                    "lineInterpolation": "smooth",
+                    "lineWidth": 2,
+                    "scaleDistribution": {
+                        "type": "linear"
+                    },
+                    "spanNulls": false,
+                    "stack": "off"
+                },
+                "datasourceCate": "prometheus",
+                "datasourceValue": "${datasource}",
+                "id": "37447883-ad79-46bc-888a-1be2835c1c64",
+                "layout": {
+                    "h": 4,
+                    "i": "378a5a26-c28e-4612-af09-f82ec2e11d80",
+                    "isResizable": true,
+                    "w": 12,
+                    "x": 0,
+                    "y": 4
+                },
+                "maxPerRow": 4,
+                "name": "磁盘平均使用率",
+                "options": {
+                    "legend": {
+                        "displayMode": "hidden"
+                    },
+                    "standardOptions": {},
+                    "thresholds": {
+                        "steps": [
+                            {
+                                "color": "#634CD9",
+                                "type": "base",
+                                "value": null
+                            }
+                        ]
+                    },
+                    "tooltip": {
+                        "mode": "all",
+                        "sort": "none"
+                    }
+                },
+                "targets": [
+                    {
+                        "expr": "sum(aliyun_acs_rds_dashboard_disk_usage_average{instance_id=\"$instance_id\"}) by (instance_id)",
+                        "legend": "",
+                        "refId": "A"
+                    }
+                ],
+                "type": "timeseries",
+                "version": "2.0.0"
+            },
+            {
+                "custom": {
+                    "drawStyle": "lines",
+                    "fillOpacity": 0.3,
+                    "gradientMode": "opacity",
+                    "lineInterpolation": "smooth",
+                    "lineWidth": 2,
+                    "scaleDistribution": {
+                        "type": "linear"
+                    },
+                    "spanNulls": false,
+                    "stack": "off"
+                },
+                "datasourceCate": "prometheus",
+                "datasourceValue": "${datasource}",
+                "id": "c9735607-3f24-44a7-bbf1-3ad39441c5c9",
+                "layout": {
+                    "h": 4,
+                    "i": "93a4c8a6-ac23-4e26-8a38-781ec1668820",
+                    "isResizable": true,
+                    "w": 12,
+                    "x": 12,
+                    "y": 4
+                },
+                "maxPerRow": 4,
+                "name": "IOPS平均使用率",
+                "options": {
+                    "legend": {
+                        "displayMode": "hidden"
+                    },
+                    "standardOptions": {},
+                    "thresholds": {
+                        "steps": [
+                            {
+                                "color": "#634CD9",
+                                "type": "base",
+                                "value": null
+                            }
+                        ]
+                    },
+                    "tooltip": {
+                        "mode": "all",
+                        "sort": "none"
+                    }
+                },
+                "targets": [
+                    {
+                        "expr": "sum(aliyun_acs_rds_dashboard_iops_usage_average{instance_id=\"$instance_id\"}) by (instance_id)",
+                        "legend": "",
+                        "refId": "A"
+                    }
+                ],
+                "type": "timeseries",
+                "version": "2.0.0"
+            },
+            {
+                "custom": {
+                    "drawStyle": "lines",
+                    "fillOpacity": 0.3,
+                    "gradientMode": "opacity",
+                    "lineInterpolation": "smooth",
+                    "lineWidth": 2,
+                    "scaleDistribution": {
+                        "type": "linear"
+                    },
+                    "spanNulls": false,
+                    "stack": "off"
+                },
+                "datasourceCate": "prometheus",
+                "datasourceValue": "${datasource}",
+                "id": "b516e7dc-8022-409d-b907-18c4143df891",
+                "layout": {
+                    "h": 5,
+                    "i": "b516e7dc-8022-409d-b907-18c4143df891",
+                    "isResizable": true,
+                    "w": 24,
+                    "x": 0,
+                    "y": 8
+                },
+                "maxPerRow": 4,
+                "name": "SQL执行量",
+                "options": {
+                    "legend": {
+                        "displayMode": "hidden"
+                    },
+                    "standardOptions": {
+                        "util": "percent"
+                    },
+                    "thresholds": {
+                        "steps": [
+                            {
+                                "color": "#634CD9",
+                                "type": "base",
+                                "value": null
+                            }
+                        ]
+                    },
+                    "tooltip": {
+                        "mode": "all",
+                        "sort": "none"
+                    }
+                },
+                "targets": [
+                    {
+                        "expr": "sum(aliyun_acs_rds_dashboard_my_sql_com_delete_average{instance_id=\"$instance_id\"}) by (instance_id)",
+                        "legend": "delete",
+                        "refId": "A"
+                    },
+                    {
+                        "expr": "sum(aliyun_acs_rds_dashboard_my_sql_com_insert_average{instance_id=\"$instance_id\"}) by (instance_id)",
+                        "legend": "insert",
+                        "refId": "B"
+                    },
+                    {
+                        "expr": "sum(aliyun_acs_rds_dashboard_my_sql_com_insert_select_average{instance_id=\"$instance_id\"}) by (instance_id)",
+                        "legend": "insert_select",
+                        "refId": "C"
+                    },
+                    {
+                        "expr": "sum(aliyun_acs_rds_dashboard_my_sql_com_update_average{instance_id=\"$instance_id\"}) by (instance_id)",
+                        "legend": "update",
+                        "refId": "D"
+                    },
+                    {
+                        "expr": "sum(aliyun_acs_rds_dashboard_my_sql_com_select_average{instance_id=\"$instance_id\"}) by (instance_id)",
+                        "legend": "select",
+                        "refId": "E"
+                    }
+                ],
+                "type": "timeseries",
+                "version": "2.0.0"
+            }
         ],
-        "type": "timeseries",
-        "version": "2.0.0"
-      },
-      {
-        "custom": {
-          "drawStyle": "lines",
-          "fillOpacity": 0.5,
-          "gradientMode": "none",
-          "lineInterpolation": "smooth",
-          "lineWidth": 1,
-          "scaleDistribution": {
-            "type": "linear"
-          },
-          "spanNulls": false,
-          "stack": "off"
-        },
-        "datasourceCate": "prometheus",
-        "datasourceValue": "${datasource}",
-        "id": "c43eb882-915f-4c38-a0b5-8f33c21ab44a",
-        "layout": {
-          "h": 4,
-          "i": "09903231-6557-42be-9cf3-2873878e9bf2",
-          "isResizable": true,
-          "w": 12,
-          "x": 12,
-          "y": 0
-        },
-        "maxPerRow": 4,
-        "name": "内存平均使用率",
-        "options": {
-          "legend": {
-            "displayMode": "hidden"
-          },
-          "standardOptions": {},
-          "thresholds": {
-            "steps": [
-              {
-                "color": "#634CD9",
-                "type": "base",
-                "value": null
-              }
-            ]
-          },
-          "tooltip": {
-            "mode": "all",
-            "sort": "none"
-          }
-        },
-        "targets": [
-          {
-            "expr": "sum(aliyun_acs_rds_dashboard_memory_usage_average{instance_id=\"$instance_id\"}) by (instance_id)",
-            "legend": "",
-            "refId": "A"
-          }
+        "var": [
+            {
+                "definition": "prometheus",
+                "name": "datasource",
+                "type": "datasource"
+            },
+            {
+                "datasource": {
+                    "cate": "prometheus",
+                    "value": "${datasource}"
+                },
+                "definition": "label_values(aliyun_acs_rds_dashboard_cpu_usage_average,name)",
+                "multi": false,
+                "name": "name",
+                "type": "query"
+            },
+            {
+                "datasource": {
+                    "cate": "prometheus",
+                    "value": "${datasource}"
+                },
+                "definition": "label_values(aliyun_acs_rds_dashboard_cpu_usage_average{name=\"$name\"},instance_id)",
+                "multi": false,
+                "name": "instance_id",
+                "type": "query"
+            }
         ],
-        "type": "timeseries",
-        "version": "2.0.0"
-      },
-      {
-        "custom": {
-          "drawStyle": "lines",
-          "fillOpacity": 0.5,
-          "gradientMode": "none",
-          "lineInterpolation": "smooth",
-          "lineWidth": 1,
-          "scaleDistribution": {
-            "type": "linear"
-          },
-          "spanNulls": false,
-          "stack": "off"
-        },
-        "datasourceCate": "prometheus",
-        "datasourceValue": "${datasource}",
-        "id": "37447883-ad79-46bc-888a-1be2835c1c64",
-        "layout": {
-          "h": 4,
-          "i": "378a5a26-c28e-4612-af09-f82ec2e11d80",
-          "isResizable": true,
-          "w": 12,
-          "x": 0,
-          "y": 4
-        },
-        "maxPerRow": 4,
-        "name": "磁盘平均使用率",
-        "options": {
-          "legend": {
-            "displayMode": "hidden"
-          },
-          "standardOptions": {},
-          "thresholds": {
-            "steps": [
-              {
-                "color": "#634CD9",
-                "type": "base",
-                "value": null
-              }
-            ]
-          },
-          "tooltip": {
-            "mode": "all",
-            "sort": "none"
-          }
-        },
-        "targets": [
-          {
-            "expr": "sum(aliyun_acs_rds_dashboard_disk_usage_average{instance_id=\"$instance_id\"}) by (instance_id)",
-            "legend": "",
-            "refId": "A"
-          }
-        ],
-        "type": "timeseries",
-        "version": "2.0.0"
-      },
-      {
-        "custom": {
-          "drawStyle": "lines",
-          "fillOpacity": 0.5,
-          "gradientMode": "none",
-          "lineInterpolation": "smooth",
-          "lineWidth": 1,
-          "scaleDistribution": {
-            "type": "linear"
-          },
-          "spanNulls": false,
-          "stack": "off"
-        },
-        "datasourceCate": "prometheus",
-        "datasourceValue": "${datasource}",
-        "id": "c9735607-3f24-44a7-bbf1-3ad39441c5c9",
-        "layout": {
-          "h": 4,
-          "i": "93a4c8a6-ac23-4e26-8a38-781ec1668820",
-          "isResizable": true,
-          "w": 12,
-          "x": 12,
-          "y": 4
-        },
-        "maxPerRow": 4,
-        "name": "IOPS平均使用率",
-        "options": {
-          "legend": {
-            "displayMode": "hidden"
-          },
-          "standardOptions": {},
-          "thresholds": {
-            "steps": [
-              {
-                "color": "#634CD9",
-                "type": "base",
-                "value": null
-              }
-            ]
-          },
-          "tooltip": {
-            "mode": "all",
-            "sort": "none"
-          }
-        },
-        "targets": [
-          {
-            "expr": "sum(aliyun_acs_rds_dashboard_iops_usage_average{instance_id=\"$instance_id\"}) by (instance_id)",
-            "legend": "",
-            "refId": "A"
-          }
-        ],
-        "type": "timeseries",
-        "version": "2.0.0"
-      },
-      {
-        "custom": {
-          "drawStyle": "lines",
-          "fillOpacity": 0.5,
-          "gradientMode": "none",
-          "lineInterpolation": "smooth",
-          "lineWidth": 1,
-          "scaleDistribution": {
-            "type": "linear"
-          },
-          "spanNulls": false,
-          "stack": "off"
-        },
-        "datasourceCate": "prometheus",
-        "datasourceValue": "${datasource}",
-        "id": "b516e7dc-8022-409d-b907-18c4143df891",
-        "layout": {
-          "h": 5,
-          "i": "b516e7dc-8022-409d-b907-18c4143df891",
-          "isResizable": true,
-          "w": 24,
-          "x": 0,
-          "y": 8
-        },
-        "maxPerRow": 4,
-        "name": "SQL执行量",
-        "options": {
-          "legend": {
-            "displayMode": "hidden"
-          },
-          "standardOptions": {
-            "util": "percent"
-          },
-          "thresholds": {
-            "steps": [
-              {
-                "color": "#634CD9",
-                "type": "base",
-                "value": null
-              }
-            ]
-          },
-          "tooltip": {
-            "mode": "all",
-            "sort": "none"
-          }
-        },
-        "targets": [
-          {
-            "expr": "sum(aliyun_acs_rds_dashboard_my_sql_com_delete_average{instance_id=\"$instance_id\"}) by (instance_id)",
-            "legend": "delete",
-            "refId": "A"
-          },
-          {
-            "expr": "sum(aliyun_acs_rds_dashboard_my_sql_com_insert_average{instance_id=\"$instance_id\"}) by (instance_id)",
-            "legend": "insert",
-            "refId": "B"
-          },
-          {
-            "expr": "sum(aliyun_acs_rds_dashboard_my_sql_com_insert_select_average{instance_id=\"$instance_id\"}) by (instance_id)",
-            "legend": "insert_select",
-            "refId": "C"
-          },
-          {
-            "expr": "sum(aliyun_acs_rds_dashboard_my_sql_com_update_average{instance_id=\"$instance_id\"}) by (instance_id)",
-            "legend": "update",
-            "refId": "D"
-          },
-          {
-            "expr": "sum(aliyun_acs_rds_dashboard_my_sql_com_select_average{instance_id=\"$instance_id\"}) by (instance_id)",
-            "legend": "select",
-            "refId": "E"
-          }
-        ],
-        "type": "timeseries",
-        "version": "2.0.0"
-      }
-    ],
-    "var": [
-      {
-        "name": "datasource",
-        "type": "datasource",
-        "definition": "prometheus"
-      },
-      {
-        "name": "name",
-        "type": "query",
-        "datasource": {
-          "cate": "prometheus",
-          "value": "${datasource}"
-        },
-        "definition": "label_values(aliyun_acs_rds_dashboard_cpu_usage_average,name)",
-        "multi": false
-      },
-      {
-        "name": "instance_id",
-        "type": "query",
-        "datasource": {
-          "cate": "prometheus",
-          "value": "${datasource}"
-        },
-        "definition": "label_values(aliyun_acs_rds_dashboard_cpu_usage_average{name=\"$name\"},instance_id)",
-        "multi": false
-      }
-    ],
-    "version": "3.0.0"
-  }
+        "version": "3.0.0"
+    },
+    "public": 0,
+    "public_cate": 0,
+    "bgids": null,
+    "built_in": 0,
+    "hide": 0,
+    "uuid": 1717556327125143000
 }

integrations/AliYun/dashboards/redis.json

@@ -1,319 +1,331 @@
 {
-  "name": "阿里云REDIS",
-  "tags": "",
-  "ident": "",
-  "configs": {
-    "panels": [
-      {
-        "custom": {
-          "drawStyle": "lines",
-          "fillOpacity": 0.5,
-          "gradientMode": "none",
-          "lineInterpolation": "smooth",
-          "lineWidth": 1,
-          "scaleDistribution": {
-            "type": "linear"
-          },
-          "spanNulls": false,
-          "stack": "off"
-        },
-        "datasourceCate": "prometheus",
-        "datasourceValue": "${datasource}",
-        "id": "01f4d444-aa2d-466d-9615-c76baf60a40c",
-        "layout": {
-          "h": 4,
-          "i": "01f4d444-aa2d-466d-9615-c76baf60a40c",
-          "isResizable": true,
-          "w": 12,
-          "x": 0,
-          "y": 0
-        },
-        "maxPerRow": 4,
-        "name": "CPU平均使用率",
-        "options": {
-          "legend": {
-            "displayMode": "hidden"
-          },
-          "standardOptions": {},
-          "thresholds": {
-            "steps": [
-              {
-                "color": "#634CD9",
-                "type": "base",
-                "value": null
-              }
-            ]
-          },
-          "tooltip": {
-            "mode": "all",
-            "sort": "none"
-          }
-        },
-        "targets": [
-          {
-            "expr": "sum(aliyun_acs_kvstore_cpu_usage_average{instance_id=\"$instance_id\"}) by (instance_id)",
-            "legend": "",
-            "refId": "A"
-          }
+    "id": 0,
+    "group_id": 0,
+    "name": "阿里云REDIS",
+    "ident": "",
+    "tags": "",
+    "create_at": 0,
+    "create_by": "",
+    "update_at": 0,
+    "update_by": "",
+    "configs": {
+        "panels": [
+            {
+                "custom": {
+                    "drawStyle": "lines",
+                    "fillOpacity": 0.3,
+                    "gradientMode": "opacity",
+                    "lineInterpolation": "smooth",
+                    "lineWidth": 2,
+                    "scaleDistribution": {
+                        "type": "linear"
+                    },
+                    "spanNulls": false,
+                    "stack": "off"
+                },
+                "datasourceCate": "prometheus",
+                "datasourceValue": "${datasource}",
+                "id": "01f4d444-aa2d-466d-9615-c76baf60a40c",
+                "layout": {
+                    "h": 4,
+                    "i": "01f4d444-aa2d-466d-9615-c76baf60a40c",
+                    "isResizable": true,
+                    "w": 12,
+                    "x": 0,
+                    "y": 0
+                },
+                "maxPerRow": 4,
+                "name": "CPU平均使用率",
+                "options": {
+                    "legend": {
+                        "displayMode": "hidden"
+                    },
+                    "standardOptions": {},
+                    "thresholds": {
+                        "steps": [
+                            {
+                                "color": "#634CD9",
+                                "type": "base",
+                                "value": null
+                            }
+                        ]
+                    },
+                    "tooltip": {
+                        "mode": "all",
+                        "sort": "none"
+                    }
+                },
+                "targets": [
+                    {
+                        "expr": "sum(aliyun_acs_kvstore_cpu_usage_average{instance_id=\"$instance_id\"}) by (instance_id)",
+                        "legend": "",
+                        "refId": "A"
+                    }
+                ],
+                "type": "timeseries",
+                "version": "2.0.0"
+            },
+            {
+                "custom": {
+                    "drawStyle": "lines",
+                    "fillOpacity": 0.3,
+                    "gradientMode": "opacity",
+                    "lineInterpolation": "smooth",
+                    "lineWidth": 2,
+                    "scaleDistribution": {
+                        "type": "linear"
+                    },
+                    "spanNulls": false,
+                    "stack": "off"
+                },
+                "datasourceCate": "prometheus",
+                "datasourceValue": "${datasource}",
+                "id": "c43eb882-915f-4c38-a0b5-8f33c21ab44a",
+                "layout": {
+                    "h": 4,
+                    "i": "09903231-6557-42be-9cf3-2873878e9bf2",
+                    "isResizable": true,
+                    "w": 12,
+                    "x": 12,
+                    "y": 0
+                },
+                "maxPerRow": 4,
+                "name": "内存平均使用率",
+                "options": {
+                    "legend": {
+                        "displayMode": "hidden"
+                    },
+                    "standardOptions": {},
+                    "thresholds": {
+                        "steps": [
+                            {
+                                "color": "#634CD9",
+                                "type": "base",
+                                "value": null
+                            }
+                        ]
+                    },
+                    "tooltip": {
+                        "mode": "all",
+                        "sort": "none"
+                    }
+                },
+                "targets": [
+                    {
+                        "expr": "sum(aliyun_acs_kvstore_memory_usage_average{instance_id=\"$instance_id\"}) by (instance_id)",
+                        "legend": "",
+                        "refId": "A"
+                    }
+                ],
+                "type": "timeseries",
+                "version": "2.0.0"
+            },
+            {
+                "custom": {
+                    "drawStyle": "lines",
+                    "fillOpacity": 0.3,
+                    "gradientMode": "opacity",
+                    "lineInterpolation": "smooth",
+                    "lineWidth": 2,
+                    "scaleDistribution": {
+                        "type": "linear"
+                    },
+                    "spanNulls": false,
+                    "stack": "off"
+                },
+                "datasourceCate": "prometheus",
+                "datasourceValue": "${datasource}",
+                "id": "37447883-ad79-46bc-888a-1be2835c1c64",
+                "layout": {
+                    "h": 4,
+                    "i": "378a5a26-c28e-4612-af09-f82ec2e11d80",
+                    "isResizable": true,
+                    "w": 12,
+                    "x": 0,
+                    "y": 4
+                },
+                "maxPerRow": 4,
+                "name": "连接数平均使用率",
+                "options": {
+                    "legend": {
+                        "displayMode": "hidden"
+                    },
+                    "standardOptions": {},
+                    "thresholds": {
+                        "steps": [
+                            {
+                                "color": "#634CD9",
+                                "type": "base",
+                                "value": null
+                            }
+                        ]
+                    },
+                    "tooltip": {
+                        "mode": "all",
+                        "sort": "none"
+                    }
+                },
+                "targets": [
+                    {
+                        "expr": "sum(aliyun_acs_kvstore_connection_usage_average{instance_id=\"$instance_id\"}) by (instance_id)",
+                        "legend": "",
+                        "refId": "A"
+                    }
+                ],
+                "type": "timeseries",
+                "version": "2.0.0"
+            },
+            {
+                "custom": {
+                    "drawStyle": "lines",
+                    "fillOpacity": 0.3,
+                    "gradientMode": "opacity",
+                    "lineInterpolation": "smooth",
+                    "lineWidth": 2,
+                    "scaleDistribution": {
+                        "type": "linear"
+                    },
+                    "spanNulls": false,
+                    "stack": "off"
+                },
+                "datasourceCate": "prometheus",
+                "datasourceValue": "${datasource}",
+                "id": "c9735607-3f24-44a7-bbf1-3ad39441c5c9",
+                "layout": {
+                    "h": 4,
+                    "i": "93a4c8a6-ac23-4e26-8a38-781ec1668820",
+                    "isResizable": true,
+                    "w": 12,
+                    "x": 12,
+                    "y": 4
+                },
+                "maxPerRow": 4,
+                "name": "失败统计平均使用率",
+                "options": {
+                    "legend": {
+                        "displayMode": "hidden"
+                    },
+                    "standardOptions": {},
+                    "thresholds": {
+                        "steps": [
+                            {
+                                "color": "#634CD9",
+                                "type": "base",
+                                "value": null
+                            }
+                        ]
+                    },
+                    "tooltip": {
+                        "mode": "all",
+                        "sort": "none"
+                    }
+                },
+                "targets": [
+                    {
+                        "expr": "sum(aliyun_acs_kvstore_failed_count_average{instance_id=\"$instance_id\"}) by (instance_id)",
+                        "legend": "",
+                        "refId": "A"
+                    }
+                ],
+                "type": "timeseries",
+                "version": "2.0.0"
+            },
+            {
+                "custom": {
+                    "drawStyle": "lines",
+                    "fillOpacity": 0.3,
+                    "gradientMode": "opacity",
+                    "lineInterpolation": "smooth",
+                    "lineWidth": 2,
+                    "scaleDistribution": {
+                        "type": "linear"
+                    },
+                    "spanNulls": false,
+                    "stack": "off"
+                },
+                "datasourceCate": "prometheus",
+                "datasourceValue": "${datasource}",
+                "id": "b516e7dc-8022-409d-b907-18c4143df891",
+                "layout": {
+                    "h": 5,
+                    "i": "b516e7dc-8022-409d-b907-18c4143df891",
+                    "isResizable": true,
+                    "w": 24,
+                    "x": 0,
+                    "y": 8
+                },
+                "maxPerRow": 4,
+                "name": "网络流量",
+                "options": {
+                    "legend": {
+                        "displayMode": "hidden"
+                    },
+                    "standardOptions": {
+                        "util": "bitsSI"
+                    },
+                    "thresholds": {
+                        "steps": [
+                            {
+                                "color": "#634CD9",
+                                "type": "base",
+                                "value": null
+                            }
+                        ]
+                    },
+                    "tooltip": {
+                        "mode": "all",
+                        "sort": "none"
+                    }
+                },
+                "targets": [
+                    {
+                        "expr": "sum(aliyun_acs_kvstore_intranet_in_average{instance_id=\"$instance_id\"}) by (instance_id)",
+                        "legend": "in",
+                        "refId": "A"
+                    },
+                    {
+                        "expr": "sum(aliyun_acs_kvstore_intranet_out_average{instance_id=\"$instance_id\"}) by (instance_id)",
+                        "legend": "out",
+                        "refId": "B"
+                    }
+                ],
+                "type": "timeseries",
+                "version": "2.0.0"
+            }
         ],
-        "type": "timeseries",
-        "version": "2.0.0"
-      },
-      {
-        "custom": {
-          "drawStyle": "lines",
-          "fillOpacity": 0.5,
-          "gradientMode": "none",
-          "lineInterpolation": "smooth",
-          "lineWidth": 1,
-          "scaleDistribution": {
-            "type": "linear"
-          },
-          "spanNulls": false,
-          "stack": "off"
-        },
-        "datasourceCate": "prometheus",
-        "datasourceValue": "${datasource}",
-        "id": "c43eb882-915f-4c38-a0b5-8f33c21ab44a",
-        "layout": {
-          "h": 4,
-          "i": "09903231-6557-42be-9cf3-2873878e9bf2",
-          "isResizable": true,
-          "w": 12,
-          "x": 12,
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-        "maxPerRow": 4,
-        "name": "内存平均使用率",
-        "options": {
-          "legend": {
-            "displayMode": "hidden"
-          },
-          "standardOptions": {},
-          "thresholds": {
-            "steps": [
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-                "type": "base",
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-            "mode": "all",
-            "sort": "none"
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-            "expr": "sum(aliyun_acs_kvstore_memory_usage_average{instance_id=\"$instance_id\"}) by (instance_id)",
-            "legend": "",
-            "refId": "A"
-          }
+        "var": [
+            {
+                "definition": "prometheus",
+                "name": "datasource",
+                "type": "datasource"
+            },
+            {
+                "datasource": {
+                    "cate": "prometheus",
+                    "value": "${datasource}"
+                },
+                "definition": "label_values(aliyun_acs_kvstore_cpu_usage_average,name)",
+                "multi": false,
+                "name": "name",
+                "type": "query"
+            },
+            {
+                "datasource": {
+                    "cate": "prometheus",
+                    "value": "${datasource}"
+                },
+                "definition": "label_values(aliyun_acs_kvstore_cpu_usage_average{name=\"$name\"},instance_id)",
+                "multi": false,
+                "name": "instance_id",
+                "type": "query"
+            }
         ],
-        "type": "timeseries",
-        "version": "2.0.0"
-      },
-      {
-        "custom": {
-          "drawStyle": "lines",
-          "fillOpacity": 0.5,
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-          },
-          "spanNulls": false,
-          "stack": "off"
-        },
-        "datasourceCate": "prometheus",
-        "datasourceValue": "${datasource}",
-        "id": "37447883-ad79-46bc-888a-1be2835c1c64",
-        "layout": {
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-        "options": {
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-          },
-          "standardOptions": {},
-          "thresholds": {
-            "steps": [
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-                "type": "base",
-                "value": null
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-          },
-          "tooltip": {
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-            "sort": "none"
-          }
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-        "targets": [
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-            "expr": "sum(aliyun_acs_kvstore_connection_usage_average{instance_id=\"$instance_id\"}) by (instance_id)",
-            "legend": "",
-            "refId": "A"
-          }
-        ],
-        "type": "timeseries",
-        "version": "2.0.0"
-      },
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-          "lineWidth": 1,
-          "scaleDistribution": {
-            "type": "linear"
-          },
-          "spanNulls": false,
-          "stack": "off"
-        },
-        "datasourceCate": "prometheus",
-        "datasourceValue": "${datasource}",
-        "id": "c9735607-3f24-44a7-bbf1-3ad39441c5c9",
-        "layout": {
-          "h": 4,
-          "i": "93a4c8a6-ac23-4e26-8a38-781ec1668820",
-          "isResizable": true,
-          "w": 12,
-          "x": 12,
-          "y": 4
-        },
-        "maxPerRow": 4,
-        "name": "失败统计平均使用率",
-        "options": {
-          "legend": {
-            "displayMode": "hidden"
-          },
-          "standardOptions": {},
-          "thresholds": {
-            "steps": [
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-          },
-          "tooltip": {
-            "mode": "all",
-            "sort": "none"
-          }
-        },
-        "targets": [
-          {
-            "expr": "sum(aliyun_acs_kvstore_failed_count_average{instance_id=\"$instance_id\"}) by (instance_id)",
-            "legend": "",
-            "refId": "A"
-          }
-        ],
-        "type": "timeseries",
-        "version": "2.0.0"
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-          "stack": "off"
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-        "datasourceCate": "prometheus",
-        "datasourceValue": "${datasource}",
-        "id": "b516e7dc-8022-409d-b907-18c4143df891",
-        "layout": {
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-          "i": "b516e7dc-8022-409d-b907-18c4143df891",
-          "isResizable": true,
-          "w": 24,
-          "x": 0,
-          "y": 8
-        },
-        "maxPerRow": 4,
-        "name": "网络流量",
-        "options": {
-          "legend": {
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-          },
-          "standardOptions": {
-            "util": "bitsSI"
-          },
-          "thresholds": {
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-            "legend": "in",
-            "refId": "A"
-          },
-          {
-            "expr": "sum(aliyun_acs_kvstore_intranet_out_average{instance_id=\"$instance_id\"}) by (instance_id)",
-            "legend": "out",
-            "refId": "B"
-          }
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-        "type": "timeseries",
-        "version": "2.0.0"
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-        "name": "datasource",
-        "type": "datasource",
-        "definition": "prometheus"
-      },
-      {
-        "name": "name",
-        "type": "query",
-        "datasource": {
-          "cate": "prometheus",
-          "value": "${datasource}"
-        },
-        "definition": "label_values(aliyun_acs_kvstore_cpu_usage_average,name)",
-        "multi": false
-      },
-      {
-        "name": "instance_id",
-        "type": "query",
-        "datasource": {
-          "cate": "prometheus",
-          "value": "${datasource}"
-        },
-        "definition": "label_values(aliyun_acs_kvstore_cpu_usage_average{name=\"$name\"},instance_id)",
-        "multi": false
-      }
-    ],
-    "version": "3.0.0"
-  }
+        "version": "3.0.0"
+    },
+    "public": 0,
+    "public_cate": 0,
+    "bgids": null,
+    "built_in": 0,
+    "hide": 0,
+    "uuid": 1717556327128561000
 }

integrations/AliYun/dashboards/redis_new.json

@@ -1,437 +1,449 @@
 {
-  "name": "阿里云REDIS_N",
-  "tags": "",
-  "ident": "",
-  "configs": {
-    "panels": [
-      {
-        "collapsed": false,
-        "id": "2c38fd30-4c4c-40a9-ad4a-5c945db32947",
-        "layout": {
-          "h": 1,
-          "i": "2c38fd30-4c4c-40a9-ad4a-5c945db32947",
-          "isResizable": false,
-          "w": 24,
-          "x": 0,
-          "y": 0
-        },
-        "name": "默认分组",
-        "type": "row"
-      },
-      {
-        "custom": {
-          "drawStyle": "lines",
-          "fillOpacity": 0.5,
-          "gradientMode": "none",
-          "lineInterpolation": "smooth",
-          "lineWidth": 1,
-          "scaleDistribution": {
-            "type": "linear"
-          },
-          "spanNulls": false,
-          "stack": "off"
-        },
-        "datasourceCate": "prometheus",
-        "datasourceValue": "${datasource}",
-        "id": "01f4d444-aa2d-466d-9615-c76baf60a40c",
-        "layout": {
-          "h": 4,
-          "i": "01f4d444-aa2d-466d-9615-c76baf60a40c",
-          "isResizable": true,
-          "w": 8,
-          "x": 0,
-          "y": 1
-        },
-        "maxPerRow": 4,
-        "name": "CPU 使用率(%)",
-        "options": {
-          "legend": {
-            "displayMode": "hidden"
-          },
-          "standardOptions": {
-            "util": "percent"
-          },
-          "thresholds": {
-            "steps": [
-              {
-                "color": "#634CD9",
-                "type": "base",
-                "value": null
-              }
-            ]
-          },
-          "tooltip": {
-            "mode": "all",
-            "sort": "none"
-          }
-        },
-        "targets": [
-          {
-            "expr": "aliyun_acs_kvstore_cpu_usage_average{instance_id=\"$instance_id\"}",
-            "instant": false,
-            "legend": "",
-            "refId": "A",
-            "step": 120
-          }
+    "id": 0,
+    "group_id": 0,
+    "name": "阿里云REDIS_N",
+    "ident": "",
+    "tags": "",
+    "create_at": 0,
+    "create_by": "",
+    "update_at": 0,
+    "update_by": "",
+    "configs": {
+        "panels": [
+            {
+                "collapsed": false,
+                "id": "2c38fd30-4c4c-40a9-ad4a-5c945db32947",
+                "layout": {
+                    "h": 1,
+                    "i": "2c38fd30-4c4c-40a9-ad4a-5c945db32947",
+                    "isResizable": false,
+                    "w": 24,
+                    "x": 0,
+                    "y": 0
+                },
+                "name": "默认分组",
+                "type": "row"
+            },
+            {
+                "custom": {
+                    "drawStyle": "lines",
+                    "fillOpacity": 0.3,
+                    "gradientMode": "opacity",
+                    "lineInterpolation": "smooth",
+                    "lineWidth": 2,
+                    "scaleDistribution": {
+                        "type": "linear"
+                    },
+                    "spanNulls": false,
+                    "stack": "off"
+                },
+                "datasourceCate": "prometheus",
+                "datasourceValue": "${datasource}",
+                "id": "01f4d444-aa2d-466d-9615-c76baf60a40c",
+                "layout": {
+                    "h": 4,
+                    "i": "01f4d444-aa2d-466d-9615-c76baf60a40c",
+                    "isResizable": true,
+                    "w": 8,
+                    "x": 0,
+                    "y": 1
+                },
+                "maxPerRow": 4,
+                "name": "CPU 使用率(%)",
+                "options": {
+                    "legend": {
+                        "displayMode": "hidden"
+                    },
+                    "standardOptions": {
+                        "util": "percent"
+                    },
+                    "thresholds": {
+                        "steps": [
+                            {
+                                "color": "#634CD9",
+                                "type": "base",
+                                "value": null
+                            }
+                        ]
+                    },
+                    "tooltip": {
+                        "mode": "all",
+                        "sort": "none"
+                    }
+                },
+                "targets": [
+                    {
+                        "expr": "aliyun_acs_kvstore_cpu_usage_average{instance_id=\"$instance_id\"}",
+                        "instant": false,
+                        "legend": "",
+                        "refId": "A",
+                        "step": 120
+                    }
+                ],
+                "transformations": [
+                    {
+                        "id": "organize",
+                        "options": {}
+                    }
+                ],
+                "type": "timeseries",
+                "version": "3.0.0"
+            },
+            {
+                "custom": {
+                    "drawStyle": "lines",
+                    "fillOpacity": 0.3,
+                    "gradientMode": "opacity",
+                    "lineInterpolation": "smooth",
+                    "lineWidth": 2,
+                    "scaleDistribution": {
+                        "type": "linear"
+                    },
+                    "spanNulls": false,
+                    "stack": "off"
+                },
+                "datasourceCate": "prometheus",
+                "datasourceValue": "${datasource}",
+                "id": "c43eb882-915f-4c38-a0b5-8f33c21ab44a",
+                "layout": {
+                    "h": 4,
+                    "i": "09903231-6557-42be-9cf3-2873878e9bf2",
+                    "isResizable": true,
+                    "w": 8,
+                    "x": 8,
+                    "y": 1
+                },
+                "maxPerRow": 4,
+                "name": "内存使用率(%)",
+                "options": {
+                    "legend": {
+                        "displayMode": "hidden"
+                    },
+                    "standardOptions": {
+                        "util": "percent"
+                    },
+                    "thresholds": {
+                        "steps": [
+                            {
+                                "color": "#634CD9",
+                                "type": "base",
+                                "value": null
+                            }
+                        ]
+                    },
+                    "tooltip": {
+                        "mode": "all",
+                        "sort": "none"
+                    }
+                },
+                "targets": [
+                    {
+                        "expr": "aliyun_acs_kvstore_memory_usage_average{instance_id=\"$instance_id\"}",
+                        "legend": "",
+                        "refId": "A",
+                        "step": 120
+                    }
+                ],
+                "transformations": [
+                    {
+                        "id": "organize",
+                        "options": {}
+                    }
+                ],
+                "type": "timeseries",
+                "version": "3.0.0"
+            },
+            {
+                "custom": {
+                    "drawStyle": "lines",
+                    "fillOpacity": 0.3,
+                    "gradientMode": "opacity",
+                    "lineInterpolation": "smooth",
+                    "lineWidth": 2,
+                    "scaleDistribution": {
+                        "type": "linear"
+                    },
+                    "spanNulls": false,
+                    "stack": "off"
+                },
+                "datasourceCate": "prometheus",
+                "datasourceValue": "${datasource}",
+                "id": "37447883-ad79-46bc-888a-1be2835c1c64",
+                "layout": {
+                    "h": 4,
+                    "i": "378a5a26-c28e-4612-af09-f82ec2e11d80",
+                    "isResizable": true,
+                    "w": 8,
+                    "x": 16,
+                    "y": 1
+                },
+                "maxPerRow": 4,
+                "name": "连接数使用率(%)",
+                "options": {
+                    "legend": {
+                        "displayMode": "hidden"
+                    },
+                    "standardOptions": {
+                        "util": "percent"
+                    },
+                    "thresholds": {
+                        "steps": [
+                            {
+                                "color": "#634CD9",
+                                "type": "base",
+                                "value": null
+                            }
+                        ]
+                    },
+                    "tooltip": {
+                        "mode": "all",
+                        "sort": "none"
+                    }
+                },
+                "targets": [
+                    {
+                        "expr": "aliyun_acs_kvstore_connection_usage_average{instance_id=\"$instance_id\"}",
+                        "legend": "",
+                        "refId": "A",
+                        "step": 120
+                    }
+                ],
+                "transformations": [
+                    {
+                        "id": "organize",
+                        "options": {}
+                    }
+                ],
+                "type": "timeseries",
+                "version": "3.0.0"
+            },
+            {
+                "custom": {
+                    "drawStyle": "lines",
+                    "fillOpacity": 0.3,
+                    "gradientMode": "opacity",
+                    "lineInterpolation": "smooth",
+                    "lineWidth": 2,
+                    "scaleDistribution": {
+                        "type": "linear"
+                    },
+                    "spanNulls": false,
+                    "stack": "off"
+                },
+                "datasourceCate": "prometheus",
+                "datasourceValue": "${datasource}",
+                "id": "2d1c8cdf-538e-48b5-8563-358f242825e5",
+                "layout": {
+                    "h": 4,
+                    "i": "764e188d-d728-44a0-a79d-133d957df9a9",
+                    "isResizable": true,
+                    "w": 8,
+                    "x": 0,
+                    "y": 5
+                },
+                "maxPerRow": 4,
+                "name": "流入带宽使用率(%)",
+                "options": {
+                    "legend": {
+                        "displayMode": "hidden"
+                    },
+                    "standardOptions": {
+                        "util": "percent"
+                    },
+                    "thresholds": {
+                        "steps": [
+                            {
+                                "color": "#634CD9",
+                                "type": "base",
+                                "value": null
+                            }
+                        ]
+                    },
+                    "tooltip": {
+                        "mode": "all",
+                        "sort": "none"
+                    }
+                },
+                "targets": [
+                    {
+                        "expr": "aliyun_acs_kvstore_intranet_in_ratio_average{instance_id=\"$instance_id\"}",
+                        "instant": false,
+                        "legend": "",
+                        "refId": "A",
+                        "step": 120
+                    }
+                ],
+                "transformations": [
+                    {
+                        "id": "organize",
+                        "options": {}
+                    }
+                ],
+                "type": "timeseries",
+                "version": "3.0.0"
+            },
+            {
+                "custom": {
+                    "drawStyle": "lines",
+                    "fillOpacity": 0.3,
+                    "gradientMode": "opacity",
+                    "lineInterpolation": "smooth",
+                    "lineWidth": 2,
+                    "scaleDistribution": {
+                        "type": "linear"
+                    },
+                    "spanNulls": false,
+                    "stack": "off"
+                },
+                "datasourceCate": "prometheus",
+                "datasourceValue": "${datasource}",
+                "id": "0577dc0f-887a-4a54-9100-ef5e5e7443a0",
+                "layout": {
+                    "h": 4,
+                    "i": "93955b6b-620c-4407-908c-01ba4f544fef",
+                    "isResizable": true,
+                    "w": 8,
+                    "x": 8,
+                    "y": 5
+                },
+                "maxPerRow": 4,
+                "name": "流出带宽使用率(%)",
+                "options": {
+                    "legend": {
+                        "displayMode": "hidden"
+                    },
+                    "standardOptions": {
+                        "util": "percent"
+                    },
+                    "thresholds": {
+                        "steps": [
+                            {
+                                "color": "#634CD9",
+                                "type": "base",
+                                "value": null
+                            }
+                        ]
+                    },
+                    "tooltip": {
+                        "mode": "all",
+                        "sort": "none"
+                    }
+                },
+                "targets": [
+                    {
+                        "expr": "aliyun_acs_kvstore_intranet_out_ratio_average{instance_id=\"$instance_id\"}",
+                        "instant": false,
+                        "legend": "",
+                        "refId": "A",
+                        "step": 120
+                    }
+                ],
+                "transformations": [
+                    {
+                        "id": "organize",
+                        "options": {}
+                    }
+                ],
+                "type": "timeseries",
+                "version": "3.0.0"
+            },
+            {
+                "custom": {
+                    "drawStyle": "lines",
+                    "fillOpacity": 0.3,
+                    "gradientMode": "opacity",
+                    "lineInterpolation": "smooth",
+                    "lineWidth": 2,
+                    "scaleDistribution": {
+                        "type": "linear"
+                    },
+                    "spanNulls": false,
+                    "stack": "off"
+                },
+                "datasourceCate": "prometheus",
+                "datasourceValue": "${datasource}",
+                "id": "a83bd550-3866-4225-9c09-08dd77e1b281",
+                "layout": {
+                    "h": 4,
+                    "i": "7b4d509b-1a8d-4f6a-9df4-f14116c4b9eb",
+                    "isResizable": true,
+                    "w": 8,
+                    "x": 16,
+                    "y": 5
+                },
+                "maxPerRow": 4,
+                "name": "连接数使用率(%)",
+                "options": {
+                    "legend": {
+                        "displayMode": "hidden"
+                    },
+                    "standardOptions": {},
+                    "thresholds": {
+                        "steps": [
+                            {
+                                "color": "#634CD9",
+                                "type": "base",
+                                "value": null
+                            }
+                        ]
+                    },
+                    "tooltip": {
+                        "mode": "all",
+                        "sort": "none"
+                    }
+                },
+                "targets": [
+                    {
+                        "expr": "aliyun_acs_kvstore_connection_usage_average{instance_id=\"$instance_id\"}",
+                        "instant": false,
+                        "legend": "",
+                        "refId": "A",
+                        "step": 120
+                    }
+                ],
+                "transformations": [
+                    {
+                        "id": "organize",
+                        "options": {}
+                    }
+                ],
+                "type": "timeseries",
+                "version": "3.0.0"
+            }
         ],
-        "transformations": [
-          {
-            "id": "organize",
-            "options": {}
-          }
+        "var": [
+            {
+                "definition": "prometheus",
+                "name": "datasource",
+                "type": "datasource"
+            },
+            {
+                "datasource": {
+                    "cate": "prometheus",
+                    "value": "${datasource}"
+                },
+                "definition": "label_values(aliyun_acs_kvstore_cpu_usage_average,name)",
+                "multi": false,
+                "name": "name",
+                "type": "query"
+            },
+            {
+                "datasource": {
+                    "cate": "prometheus",
+                    "value": "${datasource}"
+                },
+                "definition": "label_values(aliyun_acs_kvstore_cpu_usage_average,instance_id)",
+                "multi": false,
+                "name": "instance_id",
+                "type": "query"
+            }
         ],
-        "type": "timeseries",
         "version": "3.0.0"
-      },
-      {
-        "custom": {
-          "drawStyle": "lines",
-          "fillOpacity": 0.5,
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-          "spanNulls": false,
-          "stack": "off"
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-        "datasourceCate": "prometheus",
-        "datasourceValue": "${datasource}",
-        "id": "c43eb882-915f-4c38-a0b5-8f33c21ab44a",
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-          "i": "09903231-6557-42be-9cf3-2873878e9bf2",
-          "isResizable": true,
-          "w": 8,
-          "x": 8,
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-        "name": "内存使用率(%)",
-        "options": {
-          "legend": {
-            "displayMode": "hidden"
-          },
-          "standardOptions": {
-            "util": "percent"
-          },
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-                "type": "base",
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-            "sort": "none"
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-            "expr": "aliyun_acs_kvstore_memory_usage_average{instance_id=\"$instance_id\"}",
-            "legend": "",
-            "refId": "A",
-            "step": 120
-          }
-        ],
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-        "version": "3.0.0"
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-            "type": "linear"
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-          "stack": "off"
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-        "datasourceCate": "prometheus",
-        "datasourceValue": "${datasource}",
-        "id": "37447883-ad79-46bc-888a-1be2835c1c64",
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-          "isResizable": true,
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-        "maxPerRow": 4,
-        "name": "连接数使用率(%)",
-        "options": {
-          "legend": {
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-          "standardOptions": {
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-          "thresholds": {
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-            "expr": "aliyun_acs_kvstore_connection_usage_average{instance_id=\"$instance_id\"}",
-            "legend": "",
-            "refId": "A",
-            "step": 120
-          }
-        ],
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-          "stack": "off"
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-        "datasourceCate": "prometheus",
-        "datasourceValue": "${datasource}",
-        "id": "2d1c8cdf-538e-48b5-8563-358f242825e5",
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-          "isResizable": true,
-          "w": 8,
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-        },
-        "maxPerRow": 4,
-        "name": "流入带宽使用率(%)",
-        "options": {
-          "legend": {
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-          "standardOptions": {
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-            "sort": "none"
-          }
-        },
-        "targets": [
-          {
-            "expr": "aliyun_acs_kvstore_intranet_in_ratio_average{instance_id=\"$instance_id\"}",
-            "instant": false,
-            "legend": "",
-            "refId": "A",
-            "step": 120
-          }
-        ],
-        "transformations": [
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-          },
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-          "stack": "off"
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-        "datasourceCate": "prometheus",
-        "datasourceValue": "${datasource}",
-        "id": "0577dc0f-887a-4a54-9100-ef5e5e7443a0",
-        "layout": {
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-            "mode": "all",
-            "sort": "none"
-          }
-        },
-        "targets": [
-          {
-            "expr": "aliyun_acs_kvstore_intranet_out_ratio_average{instance_id=\"$instance_id\"}",
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-            "legend": "",
-            "refId": "A",
-            "step": 120
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-        "id": "a83bd550-3866-4225-9c09-08dd77e1b281",
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-            "expr": "aliyun_acs_kvstore_connection_usage_average{instance_id=\"$instance_id\"}",
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-            "refId": "A",
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-      },
-      {
-        "name": "name",
-        "type": "query",
-        "datasource": {
-          "cate": "prometheus",
-          "value": "${datasource}"
-        },
-        "definition": "label_values(aliyun_acs_kvstore_cpu_usage_average,name)",
-        "multi": false
-      },
-      {
-        "datasource": {
-          "cate": "prometheus",
-          "value": "${datasource}"
-        },
-        "definition": "label_values(aliyun_acs_kvstore_cpu_usage_average,instance_id)",
-        "multi": false,
-        "name": "instance_id",
-        "type": "query"
-      }
-    ],
-    "version": "3.0.0"
-  }
+    },
+    "public": 0,
+    "public_cate": 0,
+    "bgids": null,
+    "built_in": 0,
+    "hide": 0,
+    "uuid": 1717556327133348000
 }

integrations/AliYun/dashboards/slb.json

@@ -1,388 +1,400 @@
 {
-  "name": "阿里云SLB",
-  "tags": "",
-  "ident": "",
-  "configs": {
-    "panels": [
-      {
-        "custom": {
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-          "fillOpacity": 0.5,
-          "gradientMode": "none",
-          "lineInterpolation": "smooth",
-          "lineWidth": 1,
-          "scaleDistribution": {
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-          "stack": "off"
-        },
-        "datasourceCate": "prometheus",
-        "datasourceName": "Default",
-        "id": "aa8b2623-1e14-43cd-a3c4-33944a61fcc5",
-        "layout": {
-          "h": 4,
-          "i": "aa8b2623-1e14-43cd-a3c4-33944a61fcc5",
-          "isResizable": true,
-          "w": 12,
-          "x": 0,
-          "y": 0
-        },
-        "maxPerRow": 4,
-        "name": "七层实例QPS使用率(%)",
-        "options": {
-          "legend": {
-            "displayMode": "hidden"
-          },
-          "standardOptions": {},
-          "thresholds": {
-            "steps": [
-              {
-                "color": "#634CD9",
-                "type": "base",
-                "value": null
-              }
-            ]
-          },
-          "tooltip": {
-            "mode": "all",
-            "sort": "none"
-          }
-        },
-        "targets": [
-          {
-            "expr": "sum(aliyun_acs_slb_dashboard_instance_qps_utilization_average{instance_id=~\"$instance_id\"}) by (instance_id)",
-            "legend": "{{instance_id}} QPS使用率 ",
-            "refId": "A"
-          }
+    "id": 0,
+    "group_id": 0,
+    "name": "阿里云SLB",
+    "ident": "",
+    "tags": "",
+    "create_at": 0,
+    "create_by": "",
+    "update_at": 0,
+    "update_by": "",
+    "configs": {
+        "panels": [
+            {
+                "custom": {
+                    "drawStyle": "lines",
+                    "fillOpacity": 0.3,
+                    "gradientMode": "opacity",
+                    "lineInterpolation": "smooth",
+                    "lineWidth": 2,
+                    "scaleDistribution": {
+                        "type": "linear"
+                    },
+                    "spanNulls": false,
+                    "stack": "off"
+                },
+                "datasourceCate": "prometheus",
+                "datasourceName": "Default",
+                "datasourceValue": "${datasource}",
+                "id": "aa8b2623-1e14-43cd-a3c4-33944a61fcc5",
+                "layout": {
+                    "h": 4,
+                    "i": "aa8b2623-1e14-43cd-a3c4-33944a61fcc5",
+                    "isResizable": true,
+                    "w": 12,
+                    "x": 0,
+                    "y": 0
+                },
+                "maxPerRow": 4,
+                "name": "七层实例QPS使用率(%)",
+                "options": {
+                    "legend": {
+                        "displayMode": "hidden"
+                    },
+                    "standardOptions": {},
+                    "thresholds": {
+                        "steps": [
+                            {
+                                "color": "#634CD9",
+                                "type": "base",
+                                "value": null
+                            }
+                        ]
+                    },
+                    "tooltip": {
+                        "mode": "all",
+                        "sort": "none"
+                    }
+                },
+                "targets": [
+                    {
+                        "expr": "sum(aliyun_acs_slb_dashboard_instance_qps_utilization_average{instance_id=~\"$instance_id\"}) by (instance_id)",
+                        "legend": "{{instance_id}} QPS使用率 ",
+                        "refId": "A"
+                    }
+                ],
+                "type": "timeseries",
+                "version": "2.0.0"
+            },
+            {
+                "custom": {
+                    "drawStyle": "lines",
+                    "fillOpacity": 0.3,
+                    "gradientMode": "opacity",
+                    "lineInterpolation": "smooth",
+                    "lineWidth": 2,
+                    "scaleDistribution": {
+                        "type": "linear"
+                    },
+                    "spanNulls": false,
+                    "stack": "off"
+                },
+                "datasourceCate": "prometheus",
+                "datasourceValue": "${datasource}",
+                "id": "b2002c63-8f0b-436c-b765-5bb65191f3c2",
+                "layout": {
+                    "h": 4,
+                    "i": "b2002c63-8f0b-436c-b765-5bb65191f3c2",
+                    "isResizable": true,
+                    "w": 12,
+                    "x": 12,
+                    "y": 0
+                },
+                "maxPerRow": 4,
+                "name": "7层协议实例Upstream状态码分布",
+                "options": {
+                    "legend": {
+                        "displayMode": "hidden"
+                    },
+                    "standardOptions": {},
+                    "thresholds": {
+                        "steps": [
+                            {
+                                "color": "#634CD9",
+                                "type": "base",
+                                "value": null
+                            }
+                        ]
+                    },
+                    "tooltip": {
+                        "mode": "all",
+                        "sort": "none"
+                    }
+                },
+                "targets": [
+                    {
+                        "expr": "sum(aliyun_acs_slb_dashboard_upstream_code4xx_average{instance_id=~\"$instance_id\"}) by (instance_id)",
+                        "legend": "{{instance_id}} 状态码 4xx ",
+                        "refId": "A"
+                    },
+                    {
+                        "expr": "sum(aliyun_acs_slb_dashboard_upstream_code5xx_average{instance_id=~\"$instance_id\"}) by (instance_id)",
+                        "legend": "{{instance_id}} 状态码 5xx ",
+                        "refId": "B"
+                    }
+                ],
+                "type": "timeseries",
+                "version": "2.0.0"
+            },
+            {
+                "custom": {
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+                    "gradientMode": "opacity",
+                    "lineInterpolation": "smooth",
+                    "lineWidth": 2,
+                    "scaleDistribution": {
+                        "type": "linear"
+                    },
+                    "spanNulls": false,
+                    "stack": "off"
+                },
+                "datasourceCate": "prometheus",
+                "datasourceValue": "${datasource}",
+                "id": "71028d82-4804-468f-92f4-3444953b22cc",
+                "layout": {
+                    "h": 4,
+                    "i": "71028d82-4804-468f-92f4-3444953b22cc",
+                    "isResizable": true,
+                    "w": 12,
+                    "x": 0,
+                    "y": 4
+                },
+                "maxPerRow": 4,
+                "name": "新建连接数",
+                "options": {
+                    "legend": {
+                        "displayMode": "hidden"
+                    },
+                    "standardOptions": {},
+                    "thresholds": {
+                        "steps": [
+                            {
+                                "color": "#634CD9",
+                                "type": "base",
+                                "value": null
+                            }
+                        ]
+                    },
+                    "tooltip": {
+                        "mode": "all",
+                        "sort": "none"
+                    }
+                },
+                "targets": [
+                    {
+                        "expr": "sum(aliyun_acs_slb_dashboard_instance_new_connection_average{instance_id=~\"$instance_id\"}) by (instance_id)",
+                        "legend": "{{instance_id}} 新建连接数",
+                        "refId": "A"
+                    }
+                ],
+                "type": "timeseries",
+                "version": "2.0.0"
+            },
+            {
+                "custom": {
+                    "drawStyle": "lines",
+                    "fillOpacity": 0.3,
+                    "gradientMode": "opacity",
+                    "lineInterpolation": "smooth",
+                    "lineWidth": 2,
+                    "scaleDistribution": {
+                        "type": "linear"
+                    },
+                    "spanNulls": false,
+                    "stack": "off"
+                },
+                "datasourceCate": "prometheus",
+                "datasourceValue": "${datasource}",
+                "id": "25f90635-ff68-4dc2-bfb0-c6634f0e6867",
+                "layout": {
+                    "h": 4,
+                    "i": "25f90635-ff68-4dc2-bfb0-c6634f0e6867",
+                    "isResizable": true,
+                    "w": 12,
+                    "x": 12,
+                    "y": 4
+                },
+                "maxPerRow": 4,
+                "name": "并发连接数",
+                "options": {
+                    "legend": {
+                        "displayMode": "hidden"
+                    },
+                    "standardOptions": {},
+                    "thresholds": {
+                        "steps": [
+                            {
+                                "color": "#634CD9",
+                                "type": "base",
+                                "value": null
+                            }
+                        ]
+                    },
+                    "tooltip": {
+                        "mode": "all",
+                        "sort": "none"
+                    }
+                },
+                "targets": [
+                    {
+                        "expr": "sum(aliyun_acs_slb_dashboard_active_connection_average{instance_id=~\"$instance_id\"}) by (instance_id)",
+                        "legend": "{{instance_id}} 活跃连接数",
+                        "refId": "A"
+                    },
+                    {
+                        "expr": "sum(aliyun_acs_slb_dashboard_inactive_connection_average{instance_id=~\"$instance_id\"}) by (instance_id)",
+                        "legend": "{{instance_id}} 非活跃连接数",
+                        "refId": "B"
+                    },
+                    {
+                        "expr": "sum(aliyun_acs_slb_dashboard_max_connection_average{instance_id=~\"$instance_id\"}) by (instance_id)",
+                        "legend": "{{instance_id}} 最大活跃连接数",
+                        "refId": "C"
+                    }
+                ],
+                "type": "timeseries",
+                "version": "2.0.0"
+            },
+            {
+                "custom": {
+                    "drawStyle": "lines",
+                    "fillOpacity": 0.3,
+                    "gradientMode": "opacity",
+                    "lineInterpolation": "smooth",
+                    "lineWidth": 2,
+                    "scaleDistribution": {
+                        "type": "linear"
+                    },
+                    "spanNulls": false,
+                    "stack": "off"
+                },
+                "datasourceCate": "prometheus",
+                "datasourceValue": "${datasource}",
+                "id": "fde27e57-bdd6-4fd6-b3c0-75222f736d3b",
+                "layout": {
+                    "h": 4,
+                    "i": "fde27e57-bdd6-4fd6-b3c0-75222f736d3b",
+                    "isResizable": true,
+                    "w": 12,
+                    "x": 0,
+                    "y": 8
+                },
+                "maxPerRow": 4,
+                "name": "数据包数",
+                "options": {
+                    "legend": {
+                        "displayMode": "hidden"
+                    },
+                    "standardOptions": {
+                        "util": "none"
+                    },
+                    "thresholds": {
+                        "steps": [
+                            {
+                                "color": "#634CD9",
+                                "type": "base",
+                                "value": null
+                            }
+                        ]
+                    },
+                    "tooltip": {
+                        "mode": "all",
+                        "sort": "none"
+                    }
+                },
+                "targets": [
+                    {
+                        "expr": "sum(aliyun_acs_slb_dashboard_packet_rx_average{instance_id=~\"$instance_id\"}) by (instance_id)",
+                        "legend": "{{instance_id}} 接受数据包数",
+                        "refId": "A"
+                    },
+                    {
+                        "expr": "sum(aliyun_acs_slb_dashboard_packet_tx_average{instance_id=~\"$instance_id\"}) by (instance_id)",
+                        "legend": "{{instance_id}} 发送数据包数",
+                        "refId": "B"
+                    }
+                ],
+                "type": "timeseries",
+                "version": "2.0.0"
+            },
+            {
+                "custom": {
+                    "drawStyle": "lines",
+                    "fillOpacity": 0.3,
+                    "gradientMode": "opacity",
+                    "lineInterpolation": "smooth",
+                    "lineWidth": 2,
+                    "scaleDistribution": {
+                        "type": "linear"
+                    },
+                    "spanNulls": false,
+                    "stack": "off"
+                },
+                "datasourceCate": "prometheus",
+                "datasourceValue": "${datasource}",
+                "id": "a0fd47db-0b49-4b71-ae16-b4108324e35a",
+                "layout": {
+                    "h": 4,
+                    "i": "a0fd47db-0b49-4b71-ae16-b4108324e35a",
+                    "isResizable": true,
+                    "w": 12,
+                    "x": 12,
+                    "y": 8
+                },
+                "maxPerRow": 4,
+                "name": "流量",
+                "options": {
+                    "legend": {
+                        "displayMode": "hidden"
+                    },
+                    "standardOptions": {
+                        "util": "bitsSI"
+                    },
+                    "thresholds": {
+                        "steps": [
+                            {
+                                "color": "#634CD9",
+                                "type": "base",
+                                "value": null
+                            }
+                        ]
+                    },
+                    "tooltip": {
+                        "mode": "all",
+                        "sort": "none"
+                    }
+                },
+                "targets": [
+                    {
+                        "expr": "sum(aliyun_acs_slb_dashboard_instance_traffic_rx_average{instance_id=~\"$instance_id\"}) by (instance_id)",
+                        "legend": "{{instance_id}} 出流量",
+                        "refId": "A"
+                    },
+                    {
+                        "expr": "sum(aliyun_acs_slb_dashboard_instance_traffic_tx_average{instance_id=~\"$instance_id\"}) by (instance_id)",
+                        "legend": "{{instance_id}} 入流量",
+                        "refId": "B"
+                    }
+                ],
+                "type": "timeseries",
+                "version": "2.0.0"
+            }
         ],
-        "type": "timeseries",
-        "version": "2.0.0",
-        "datasourceValue": "${datasource}"
-      },
-      {
-        "custom": {
-          "drawStyle": "lines",
-          "fillOpacity": 0.5,
-          "gradientMode": "none",
-          "lineInterpolation": "smooth",
-          "lineWidth": 1,
-          "scaleDistribution": {
-            "type": "linear"
-          },
-          "spanNulls": false,
-          "stack": "off"
-        },
-        "datasourceCate": "prometheus",
-        "id": "b2002c63-8f0b-436c-b765-5bb65191f3c2",
-        "layout": {
-          "h": 4,
-          "i": "b2002c63-8f0b-436c-b765-5bb65191f3c2",
-          "isResizable": true,
-          "w": 12,
-          "x": 12,
-          "y": 0
-        },
-        "maxPerRow": 4,
-        "name": "7层协议实例Upstream状态码分布",
-        "options": {
-          "legend": {
-            "displayMode": "hidden"
-          },
-          "standardOptions": {},
-          "thresholds": {
-            "steps": [
-              {
-                "color": "#634CD9",
-                "type": "base",
-                "value": null
-              }
-            ]
-          },
-          "tooltip": {
-            "mode": "all",
-            "sort": "none"
-          }
-        },
-        "targets": [
-          {
-            "expr": "sum(aliyun_acs_slb_dashboard_upstream_code4xx_average{instance_id=~\"$instance_id\"}) by (instance_id)",
-            "legend": "{{instance_id}} 状态码 4xx ",
-            "refId": "A"
-          },
-          {
-            "expr": "sum(aliyun_acs_slb_dashboard_upstream_code5xx_average{instance_id=~\"$instance_id\"}) by (instance_id)",
-            "legend": "{{instance_id}} 状态码 5xx ",
-            "refId": "B"
-          }
+        "var": [
+            {
+                "definition": "prometheus",
+                "name": "datasource",
+                "type": "datasource"
+            },
+            {
+                "allOption": true,
+                "datasource": {
+                    "cate": "prometheus",
+                    "value": "${datasource}"
+                },
+                "definition": "label_values(aliyun_acs_slb_dashboard_active_connection_average ,instance_id)",
+                "multi": true,
+                "name": "instance_id",
+                "type": "query"
+            }
         ],
-        "type": "timeseries",
-        "version": "2.0.0",
-        "datasourceValue": "${datasource}"
-      },
-      {
-        "custom": {
-          "drawStyle": "lines",
-          "fillOpacity": 0.5,
-          "gradientMode": "none",
-          "lineInterpolation": "smooth",
-          "lineWidth": 1,
-          "scaleDistribution": {
-            "type": "linear"
-          },
-          "spanNulls": false,
-          "stack": "off"
-        },
-        "datasourceCate": "prometheus",
-        "id": "71028d82-4804-468f-92f4-3444953b22cc",
-        "layout": {
-          "h": 4,
-          "i": "71028d82-4804-468f-92f4-3444953b22cc",
-          "isResizable": true,
-          "w": 12,
-          "x": 0,
-          "y": 4
-        },
-        "maxPerRow": 4,
-        "name": "新建连接数",
-        "options": {
-          "legend": {
-            "displayMode": "hidden"
-          },
-          "standardOptions": {},
-          "thresholds": {
-            "steps": [
-              {
-                "color": "#634CD9",
-                "type": "base",
-                "value": null
-              }
-            ]
-          },
-          "tooltip": {
-            "mode": "all",
-            "sort": "none"
-          }
-        },
-        "targets": [
-          {
-            "expr": "sum(aliyun_acs_slb_dashboard_instance_new_connection_average{instance_id=~\"$instance_id\"}) by (instance_id)",
-            "legend": "{{instance_id}} 新建连接数",
-            "refId": "A"
-          }
-        ],
-        "type": "timeseries",
-        "version": "2.0.0",
-        "datasourceValue": "${datasource}"
-      },
-      {
-        "custom": {
-          "drawStyle": "lines",
-          "fillOpacity": 0.5,
-          "gradientMode": "none",
-          "lineInterpolation": "smooth",
-          "lineWidth": 1,
-          "scaleDistribution": {
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-          "spanNulls": false,
-          "stack": "off"
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-        "datasourceCate": "prometheus",
-        "id": "25f90635-ff68-4dc2-bfb0-c6634f0e6867",
-        "layout": {
-          "h": 4,
-          "i": "25f90635-ff68-4dc2-bfb0-c6634f0e6867",
-          "isResizable": true,
-          "w": 12,
-          "x": 12,
-          "y": 4
-        },
-        "maxPerRow": 4,
-        "name": "并发连接数",
-        "options": {
-          "legend": {
-            "displayMode": "hidden"
-          },
-          "standardOptions": {},
-          "thresholds": {
-            "steps": [
-              {
-                "color": "#634CD9",
-                "type": "base",
-                "value": null
-              }
-            ]
-          },
-          "tooltip": {
-            "mode": "all",
-            "sort": "none"
-          }
-        },
-        "targets": [
-          {
-            "expr": "sum(aliyun_acs_slb_dashboard_active_connection_average{instance_id=~\"$instance_id\"}) by (instance_id)",
-            "legend": "{{instance_id}} 活跃连接数",
-            "refId": "A"
-          },
-          {
-            "expr": "sum(aliyun_acs_slb_dashboard_inactive_connection_average{instance_id=~\"$instance_id\"}) by (instance_id)",
-            "legend": "{{instance_id}} 非活跃连接数",
-            "refId": "B"
-          },
-          {
-            "expr": "sum(aliyun_acs_slb_dashboard_max_connection_average{instance_id=~\"$instance_id\"}) by (instance_id)",
-            "legend": "{{instance_id}} 最大活跃连接数",
-            "refId": "C"
-          }
-        ],
-        "type": "timeseries",
-        "version": "2.0.0",
-        "datasourceValue": "${datasource}"
-      },
-      {
-        "custom": {
-          "drawStyle": "lines",
-          "fillOpacity": 0.5,
-          "gradientMode": "none",
-          "lineInterpolation": "smooth",
-          "lineWidth": 1,
-          "scaleDistribution": {
-            "type": "linear"
-          },
-          "spanNulls": false,
-          "stack": "off"
-        },
-        "datasourceCate": "prometheus",
-        "id": "fde27e57-bdd6-4fd6-b3c0-75222f736d3b",
-        "layout": {
-          "h": 4,
-          "i": "fde27e57-bdd6-4fd6-b3c0-75222f736d3b",
-          "isResizable": true,
-          "w": 12,
-          "x": 0,
-          "y": 8
-        },
-        "maxPerRow": 4,
-        "name": "数据包数",
-        "options": {
-          "legend": {
-            "displayMode": "hidden"
-          },
-          "standardOptions": {
-            "util": "none"
-          },
-          "thresholds": {
-            "steps": [
-              {
-                "color": "#634CD9",
-                "type": "base",
-                "value": null
-              }
-            ]
-          },
-          "tooltip": {
-            "mode": "all",
-            "sort": "none"
-          }
-        },
-        "targets": [
-          {
-            "expr": "sum(aliyun_acs_slb_dashboard_packet_rx_average{instance_id=~\"$instance_id\"}) by (instance_id)",
-            "legend": "{{instance_id}} 接受数据包数",
-            "refId": "A"
-          },
-          {
-            "expr": "sum(aliyun_acs_slb_dashboard_packet_tx_average{instance_id=~\"$instance_id\"}) by (instance_id)",
-            "legend": "{{instance_id}} 发送数据包数",
-            "refId": "B"
-          }
-        ],
-        "type": "timeseries",
-        "version": "2.0.0",
-        "datasourceValue": "${datasource}"
-      },
-      {
-        "custom": {
-          "drawStyle": "lines",
-          "fillOpacity": 0.5,
-          "gradientMode": "none",
-          "lineInterpolation": "smooth",
-          "lineWidth": 1,
-          "scaleDistribution": {
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-          "spanNulls": false,
-          "stack": "off"
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-        "datasourceCate": "prometheus",
-        "id": "a0fd47db-0b49-4b71-ae16-b4108324e35a",
-        "layout": {
-          "h": 4,
-          "i": "a0fd47db-0b49-4b71-ae16-b4108324e35a",
-          "isResizable": true,
-          "w": 12,
-          "x": 12,
-          "y": 8
-        },
-        "maxPerRow": 4,
-        "name": "流量",
-        "options": {
-          "legend": {
-            "displayMode": "hidden"
-          },
-          "standardOptions": {
-            "util": "bitsSI"
-          },
-          "thresholds": {
-            "steps": [
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-          },
-          "tooltip": {
-            "mode": "all",
-            "sort": "none"
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-        },
-        "targets": [
-          {
-            "expr": "sum(aliyun_acs_slb_dashboard_instance_traffic_rx_average{instance_id=~\"$instance_id\"}) by (instance_id)",
-            "legend": "{{instance_id}} 出流量",
-            "refId": "A"
-          },
-          {
-            "expr": "sum(aliyun_acs_slb_dashboard_instance_traffic_tx_average{instance_id=~\"$instance_id\"}) by (instance_id)",
-            "legend": "{{instance_id}} 入流量",
-            "refId": "B"
-          }
-        ],
-        "type": "timeseries",
-        "version": "2.0.0",
-        "datasourceValue": "${datasource}"
-      }
-    ],
-    "var": [
-      {
-        "name": "datasource",
-        "type": "datasource",
-        "definition": "prometheus"
-      },
-      {
-        "allOption": true,
-        "datasource": {
-          "cate": "prometheus",
-          "value": "${datasource}"
-        },
-        "definition": "label_values(aliyun_acs_slb_dashboard_active_connection_average ,instance_id)",
-        "multi": true,
-        "name": "instance_id",
-        "type": "query"
-      }
-    ],
-    "version": "3.0.0"
-  }
+        "version": "3.0.0"
+    },
+    "public": 0,
+    "public_cate": 0,
+    "bgids": null,
+    "built_in": 0,
+    "hide": 0,
+    "uuid": 1717556327138375000
 }

integrations/AliYun/dashboards/waf.json

@@ -1,358 +1,370 @@
 {
-  "name": "阿里云WAF",
-  "tags": "",
-  "ident": "",
-  "configs": {
-    "panels": [
-      {
-        "custom": {
-          "drawStyle": "lines",
-          "fillOpacity": 0.5,
-          "gradientMode": "none",
-          "lineInterpolation": "smooth",
-          "lineWidth": 1,
-          "scaleDistribution": {
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-          },
-          "spanNulls": false,
-          "stack": "off"
-        },
-        "datasourceCate": "prometheus",
-        "id": "ec46b990-faf5-4ed7-a791-bbac5df91636",
-        "layout": {
-          "h": 4,
-          "i": "ec46b990-faf5-4ed7-a791-bbac5df91636",
-          "isResizable": true,
-          "w": 12,
-          "x": 0,
-          "y": 0
-        },
-        "maxPerRow": 4,
-        "name": "4xx 环比率V3",
-        "options": {
-          "legend": {
-            "displayMode": "hidden"
-          },
-          "standardOptions": {},
-          "thresholds": {
-            "steps": [
-              {
-                "color": "#634CD9",
-                "type": "base",
-                "value": null
-              }
-            ]
-          },
-          "tooltip": {
-            "mode": "all",
-            "sort": "none"
-          }
-        },
-        "targets": [
-          {
-            "expr": "sum(aliyun_waf_4xx_ratio_wafv3_maximum{instance_id=~\"$instance_id\"}) by (instance_id)",
-            "legend": "4xx 环比率V3",
-            "refId": "A"
-          }
+    "id": 0,
+    "group_id": 0,
+    "name": "阿里云WAF",
+    "ident": "",
+    "tags": "",
+    "create_at": 0,
+    "create_by": "",
+    "update_at": 0,
+    "update_by": "",
+    "configs": {
+        "panels": [
+            {
+                "custom": {
+                    "drawStyle": "lines",
+                    "fillOpacity": 0.3,
+                    "gradientMode": "opacity",
+                    "lineInterpolation": "smooth",
+                    "lineWidth": 2,
+                    "scaleDistribution": {
+                        "type": "linear"
+                    },
+                    "spanNulls": false,
+                    "stack": "off"
+                },
+                "datasourceCate": "prometheus",
+                "datasourceValue": "${datasource}",
+                "id": "ec46b990-faf5-4ed7-a791-bbac5df91636",
+                "layout": {
+                    "h": 4,
+                    "i": "ec46b990-faf5-4ed7-a791-bbac5df91636",
+                    "isResizable": true,
+                    "w": 12,
+                    "x": 0,
+                    "y": 0
+                },
+                "maxPerRow": 4,
+                "name": "4xx 环比率V3",
+                "options": {
+                    "legend": {
+                        "displayMode": "hidden"
+                    },
+                    "standardOptions": {},
+                    "thresholds": {
+                        "steps": [
+                            {
+                                "color": "#634CD9",
+                                "type": "base",
+                                "value": null
+                            }
+                        ]
+                    },
+                    "tooltip": {
+                        "mode": "all",
+                        "sort": "none"
+                    }
+                },
+                "targets": [
+                    {
+                        "expr": "sum(aliyun_waf_4xx_ratio_wafv3_maximum{instance_id=~\"$instance_id\"}) by (instance_id)",
+                        "legend": "4xx 环比率V3",
+                        "refId": "A"
+                    }
+                ],
+                "type": "timeseries",
+                "version": "2.0.0"
+            },
+            {
+                "custom": {
+                    "drawStyle": "lines",
+                    "fillOpacity": 0.3,
+                    "gradientMode": "opacity",
+                    "lineInterpolation": "smooth",
+                    "lineWidth": 2,
+                    "scaleDistribution": {
+                        "type": "linear"
+                    },
+                    "spanNulls": false,
+                    "stack": "off"
+                },
+                "datasourceCate": "prometheus",
+                "datasourceValue": "${datasource}",
+                "id": "efc75e62-5e75-470d-b12b-a98ca44b268a",
+                "layout": {
+                    "h": 4,
+                    "i": "584b5a3c-2b7a-4e11-bee5-c2ed8661933e",
+                    "isResizable": true,
+                    "w": 12,
+                    "x": 12,
+                    "y": 0
+                },
+                "maxPerRow": 4,
+                "name": "5xx 环比率V3",
+                "options": {
+                    "legend": {
+                        "displayMode": "hidden"
+                    },
+                    "standardOptions": {},
+                    "thresholds": {
+                        "steps": [
+                            {
+                                "color": "#634CD9",
+                                "type": "base",
+                                "value": null
+                            }
+                        ]
+                    },
+                    "tooltip": {
+                        "mode": "all",
+                        "sort": "none"
+                    }
+                },
+                "targets": [
+                    {
+                        "expr": "sum(aliyun_waf_5xx_ratio_wafv3_maximum{instance_id=~\"$instance_id\"}) by (instance_id)",
+                        "legend": "5xx 环比率V3",
+                        "refId": "A"
+                    }
+                ],
+                "type": "timeseries",
+                "version": "2.0.0"
+            },
+            {
+                "custom": {
+                    "drawStyle": "lines",
+                    "fillOpacity": 0.3,
+                    "gradientMode": "opacity",
+                    "lineInterpolation": "smooth",
+                    "lineWidth": 2,
+                    "scaleDistribution": {
+                        "type": "linear"
+                    },
+                    "spanNulls": false,
+                    "stack": "off"
+                },
+                "datasourceCate": "prometheus",
+                "datasourceValue": "${datasource}",
+                "id": "79aefa1b-5e50-4c0c-980d-e5523b859509",
+                "layout": {
+                    "h": 4,
+                    "i": "fc875397-c1a4-4713-b564-09abf852bcf3",
+                    "isResizable": true,
+                    "w": 12,
+                    "x": 0,
+                    "y": 4
+                },
+                "maxPerRow": 4,
+                "name": "4xx 环比率",
+                "options": {
+                    "legend": {
+                        "displayMode": "hidden"
+                    },
+                    "standardOptions": {},
+                    "thresholds": {
+                        "steps": [
+                            {
+                                "color": "#634CD9",
+                                "type": "base",
+                                "value": null
+                            }
+                        ]
+                    },
+                    "tooltip": {
+                        "mode": "all",
+                        "sort": "none"
+                    }
+                },
+                "targets": [
+                    {
+                        "expr": "sum(aliyun_waf_4xx_ratio_maximum{instance_id=~\"$instance_id\"}) by (instance_id)",
+                        "legend": "4xx 环比率",
+                        "refId": "A"
+                    }
+                ],
+                "type": "timeseries",
+                "version": "2.0.0"
+            },
+            {
+                "custom": {
+                    "drawStyle": "lines",
+                    "fillOpacity": 0.3,
+                    "gradientMode": "opacity",
+                    "lineInterpolation": "smooth",
+                    "lineWidth": 2,
+                    "scaleDistribution": {
+                        "type": "linear"
+                    },
+                    "spanNulls": false,
+                    "stack": "off"
+                },
+                "datasourceCate": "prometheus",
+                "datasourceValue": "${datasource}",
+                "id": "60c211d4-d51a-4681-b23b-ec8cc5dce7fe",
+                "layout": {
+                    "h": 4,
+                    "i": "946be0db-32a3-48ea-9473-88fdfa77201d",
+                    "isResizable": true,
+                    "w": 12,
+                    "x": 12,
+                    "y": 4
+                },
+                "maxPerRow": 4,
+                "name": "5xx 环比率",
+                "options": {
+                    "legend": {
+                        "displayMode": "hidden"
+                    },
+                    "standardOptions": {},
+                    "thresholds": {
+                        "steps": [
+                            {
+                                "color": "#634CD9",
+                                "type": "base",
+                                "value": null
+                            }
+                        ]
+                    },
+                    "tooltip": {
+                        "mode": "all",
+                        "sort": "none"
+                    }
+                },
+                "targets": [
+                    {
+                        "expr": "sum(aliyun_waf_5xx_ratio_maximum{instance_id=~\"$instance_id\"}) by (instance_id)",
+                        "legend": "5xx 环比率",
+                        "refId": "A"
+                    }
+                ],
+                "type": "timeseries",
+                "version": "2.0.0"
+            },
+            {
+                "custom": {
+                    "drawStyle": "lines",
+                    "fillOpacity": 0.3,
+                    "gradientMode": "opacity",
+                    "lineInterpolation": "smooth",
+                    "lineWidth": 2,
+                    "scaleDistribution": {
+                        "type": "linear"
+                    },
+                    "spanNulls": false,
+                    "stack": "off"
+                },
+                "datasourceCate": "prometheus",
+                "datasourceValue": "${datasource}",
+                "id": "0de9271c-7b19-4003-ae56-2e273b4b99c4",
+                "layout": {
+                    "h": 4,
+                    "i": "0de9271c-7b19-4003-ae56-2e273b4b99c4",
+                    "isResizable": true,
+                    "w": 12,
+                    "x": 0,
+                    "y": 8
+                },
+                "maxPerRow": 4,
+                "name": "QPS环比增长率",
+                "options": {
+                    "legend": {
+                        "displayMode": "hidden"
+                    },
+                    "standardOptions": {},
+                    "thresholds": {
+                        "steps": [
+                            {
+                                "color": "#634CD9",
+                                "type": "base",
+                                "value": null
+                            }
+                        ]
+                    },
+                    "tooltip": {
+                        "mode": "all",
+                        "sort": "none"
+                    }
+                },
+                "targets": [
+                    {
+                        "expr": "sum(aliyun_waf_qps_ratio_maximum{instance_id=~\"$instance_id\"}) by (instance_id)",
+                        "legend": "{{instance_id}}QPS 环比增长率",
+                        "refId": "A"
+                    }
+                ],
+                "type": "timeseries",
+                "version": "2.0.0"
+            },
+            {
+                "custom": {
+                    "drawStyle": "lines",
+                    "fillOpacity": 0.3,
+                    "gradientMode": "opacity",
+                    "lineInterpolation": "smooth",
+                    "lineWidth": 2,
+                    "scaleDistribution": {
+                        "type": "linear"
+                    },
+                    "spanNulls": false,
+                    "stack": "off"
+                },
+                "datasourceCate": "prometheus",
+                "datasourceValue": "${datasource}",
+                "id": "ccf2ffc1-6f22-4a13-b795-68072c077e1f",
+                "layout": {
+                    "h": 4,
+                    "i": "d0320716-f704-4b6e-8671-b58fb77a5d7c",
+                    "isResizable": true,
+                    "w": 12,
+                    "x": 12,
+                    "y": 8
+                },
+                "maxPerRow": 4,
+                "name": "QPS环比下降率",
+                "options": {
+                    "legend": {
+                        "displayMode": "hidden"
+                    },
+                    "standardOptions": {},
+                    "thresholds": {
+                        "steps": [
+                            {
+                                "color": "#634CD9",
+                                "type": "base",
+                                "value": null
+                            }
+                        ]
+                    },
+                    "tooltip": {
+                        "mode": "all",
+                        "sort": "none"
+                    }
+                },
+                "targets": [
+                    {
+                        "expr": "sum(aliyun_waf_qps_ratio_down_maximum{instance_id=~\"$instance_id\"}) by (instance_id)",
+                        "legend": "{{instance_id}}QPS 环比下降率",
+                        "refId": "A"
+                    }
+                ],
+                "type": "timeseries",
+                "version": "2.0.0"
+            }
         ],
-        "type": "timeseries",
-        "version": "2.0.0",
-        "datasourceValue": "${datasource}"
-      },
-      {
-        "custom": {
-          "drawStyle": "lines",
-          "fillOpacity": 0.5,
-          "gradientMode": "none",
-          "lineInterpolation": "smooth",
-          "lineWidth": 1,
-          "scaleDistribution": {
-            "type": "linear"
-          },
-          "spanNulls": false,
-          "stack": "off"
-        },
-        "datasourceCate": "prometheus",
-        "id": "efc75e62-5e75-470d-b12b-a98ca44b268a",
-        "layout": {
-          "h": 4,
-          "i": "584b5a3c-2b7a-4e11-bee5-c2ed8661933e",
-          "isResizable": true,
-          "w": 12,
-          "x": 12,
-          "y": 0
-        },
-        "maxPerRow": 4,
-        "name": "5xx 环比率V3",
-        "options": {
-          "legend": {
-            "displayMode": "hidden"
-          },
-          "standardOptions": {},
-          "thresholds": {
-            "steps": [
-              {
-                "color": "#634CD9",
-                "type": "base",
-                "value": null
-              }
-            ]
-          },
-          "tooltip": {
-            "mode": "all",
-            "sort": "none"
-          }
-        },
-        "targets": [
-          {
-            "expr": "sum(aliyun_waf_5xx_ratio_wafv3_maximum{instance_id=~\"$instance_id\"}) by (instance_id)",
-            "legend": "5xx 环比率V3",
-            "refId": "A"
-          }
+        "var": [
+            {
+                "definition": "prometheus",
+                "name": "datasource",
+                "type": "datasource"
+            },
+            {
+                "allOption": true,
+                "datasource": {
+                    "cate": "prometheus",
+                    "value": "${datasource}"
+                },
+                "definition": "label_values(aliyun_waf_qps_ratio_maximum,instance_id)",
+                "multi": true,
+                "name": "instance_id",
+                "type": "query"
+            }
         ],
-        "type": "timeseries",
-        "version": "2.0.0",
-        "datasourceValue": "${datasource}"
-      },
-      {
-        "custom": {
-          "drawStyle": "lines",
-          "fillOpacity": 0.5,
-          "gradientMode": "none",
-          "lineInterpolation": "smooth",
-          "lineWidth": 1,
-          "scaleDistribution": {
-            "type": "linear"
-          },
-          "spanNulls": false,
-          "stack": "off"
-        },
-        "datasourceCate": "prometheus",
-        "id": "79aefa1b-5e50-4c0c-980d-e5523b859509",
-        "layout": {
-          "h": 4,
-          "i": "fc875397-c1a4-4713-b564-09abf852bcf3",
-          "isResizable": true,
-          "w": 12,
-          "x": 0,
-          "y": 4
-        },
-        "maxPerRow": 4,
-        "name": "4xx 环比率",
-        "options": {
-          "legend": {
-            "displayMode": "hidden"
-          },
-          "standardOptions": {},
-          "thresholds": {
-            "steps": [
-              {
-                "color": "#634CD9",
-                "type": "base",
-                "value": null
-              }
-            ]
-          },
-          "tooltip": {
-            "mode": "all",
-            "sort": "none"
-          }
-        },
-        "targets": [
-          {
-            "expr": "sum(aliyun_waf_4xx_ratio_maximum{instance_id=~\"$instance_id\"}) by (instance_id)",
-            "legend": "4xx 环比率",
-            "refId": "A"
-          }
-        ],
-        "type": "timeseries",
-        "version": "2.0.0",
-        "datasourceValue": "${datasource}"
-      },
-      {
-        "custom": {
-          "drawStyle": "lines",
-          "fillOpacity": 0.5,
-          "gradientMode": "none",
-          "lineInterpolation": "smooth",
-          "lineWidth": 1,
-          "scaleDistribution": {
-            "type": "linear"
-          },
-          "spanNulls": false,
-          "stack": "off"
-        },
-        "datasourceCate": "prometheus",
-        "id": "60c211d4-d51a-4681-b23b-ec8cc5dce7fe",
-        "layout": {
-          "h": 4,
-          "i": "946be0db-32a3-48ea-9473-88fdfa77201d",
-          "isResizable": true,
-          "w": 12,
-          "x": 12,
-          "y": 4
-        },
-        "maxPerRow": 4,
-        "name": "5xx 环比率",
-        "options": {
-          "legend": {
-            "displayMode": "hidden"
-          },
-          "standardOptions": {},
-          "thresholds": {
-            "steps": [
-              {
-                "color": "#634CD9",
-                "type": "base",
-                "value": null
-              }
-            ]
-          },
-          "tooltip": {
-            "mode": "all",
-            "sort": "none"
-          }
-        },
-        "targets": [
-          {
-            "expr": "sum(aliyun_waf_5xx_ratio_maximum{instance_id=~\"$instance_id\"}) by (instance_id)",
-            "legend": "5xx 环比率",
-            "refId": "A"
-          }
-        ],
-        "type": "timeseries",
-        "version": "2.0.0",
-        "datasourceValue": "${datasource}"
-      },
-      {
-        "custom": {
-          "drawStyle": "lines",
-          "fillOpacity": 0.5,
-          "gradientMode": "none",
-          "lineInterpolation": "smooth",
-          "lineWidth": 1,
-          "scaleDistribution": {
-            "type": "linear"
-          },
-          "spanNulls": false,
-          "stack": "off"
-        },
-        "datasourceCate": "prometheus",
-        "id": "0de9271c-7b19-4003-ae56-2e273b4b99c4",
-        "layout": {
-          "h": 4,
-          "i": "0de9271c-7b19-4003-ae56-2e273b4b99c4",
-          "isResizable": true,
-          "w": 12,
-          "x": 0,
-          "y": 8
-        },
-        "maxPerRow": 4,
-        "name": "QPS环比增长率",
-        "options": {
-          "legend": {
-            "displayMode": "hidden"
-          },
-          "standardOptions": {},
-          "thresholds": {
-            "steps": [
-              {
-                "color": "#634CD9",
-                "type": "base",
-                "value": null
-              }
-            ]
-          },
-          "tooltip": {
-            "mode": "all",
-            "sort": "none"
-          }
-        },
-        "targets": [
-          {
-            "expr": "sum(aliyun_waf_qps_ratio_maximum{instance_id=~\"$instance_id\"}) by (instance_id)",
-            "legend": "{{instance_id}}QPS 环比增长率",
-            "refId": "A"
-          }
-        ],
-        "type": "timeseries",
-        "version": "2.0.0",
-        "datasourceValue": "${datasource}"
-      },
-      {
-        "custom": {
-          "drawStyle": "lines",
-          "fillOpacity": 0.5,
-          "gradientMode": "none",
-          "lineInterpolation": "smooth",
-          "lineWidth": 1,
-          "scaleDistribution": {
-            "type": "linear"
-          },
-          "spanNulls": false,
-          "stack": "off"
-        },
-        "datasourceCate": "prometheus",
-        "id": "ccf2ffc1-6f22-4a13-b795-68072c077e1f",
-        "layout": {
-          "h": 4,
-          "i": "d0320716-f704-4b6e-8671-b58fb77a5d7c",
-          "isResizable": true,
-          "w": 12,
-          "x": 12,
-          "y": 8
-        },
-        "maxPerRow": 4,
-        "name": "QPS环比下降率",
-        "options": {
-          "legend": {
-            "displayMode": "hidden"
-          },
-          "standardOptions": {},
-          "thresholds": {
-            "steps": [
-              {
-                "color": "#634CD9",
-                "type": "base",
-                "value": null
-              }
-            ]
-          },
-          "tooltip": {
-            "mode": "all",
-            "sort": "none"
-          }
-        },
-        "targets": [
-          {
-            "expr": "sum(aliyun_waf_qps_ratio_down_maximum{instance_id=~\"$instance_id\"}) by (instance_id)",
-            "legend": "{{instance_id}}QPS 环比下降率",
-            "refId": "A"
-          }
-        ],
-        "type": "timeseries",
-        "version": "2.0.0",
-        "datasourceValue": "${datasource}"
-      }
-    ],
-    "var": [
-      {
-        "name": "datasource",
-        "type": "datasource",
-        "definition": "prometheus"
-      },
-      {
-        "allOption": true,
-        "datasource": {
-          "cate": "prometheus",
-          "value": "${datasource}"
-        },
-        "definition": "label_values(aliyun_waf_qps_ratio_maximum,instance_id)",
-        "multi": true,
-        "name": "instance_id",
-        "type": "query"
-      }
-    ],
-    "version": "3.0.0"
-  }
+        "version": "3.0.0"
+    },
+    "public": 0,
+    "public_cate": 0,
+    "bgids": null,
+    "built_in": 0,
+    "hide": 0,
+    "uuid": 1717556327142143000
 }

integrations/Arp_Packet/markdown/README.md

@@ -1,30 +0,0 @@
-# 调整间隔时间
-如有诉求对此插件本身的采集间隔时间调整的话就启用,单位为秒
-interval = 15
-
-# 获取被监控端设备的网卡名称
-可用以下命令获取网卡名称列表
-```
-ip addr | grep '^[0-9]' |awk -F':' '{print $2}'
-
- lo
- eth0
- br-153e7f4f0c83
- br-2f302c2a8faa
- br-5ae0cdb82efc
- br-68cba8773a8c
- br-c50ca3122079
- docker0
- br-fd769e4347bd
- veth944ac75@if52
-```
-# 在数组instances中启用eth_device
-将以上获取的网卡列表，根据自己的诉求填入，如eth0
-```
-eth_device="eth0"
-```
-# 测试是否能获取到值
-```
-./categraf --test --inputs arp_packet
-
-```

integrations/AutoMQ/collect/prometheus/采集OTEL-COLLECTOR的样例.toml

@@ -0,0 +1,9 @@
+interval = 15
+
+[[instances]]
+urls = [
+     "http://<otel-collector-ip>:<otel-collector-port>/metrics"
+]
+
+url_label_key = "otel_collector"
+url_label_value = "{{.Host}}"

integrations/AutoMQ/dashboards/cluster_overview.json

@@ -0,0 +1,983 @@
+{
+    "id": 0,
+    "group_id": 0,
+    "name": "Cluster Overview",
+    "ident": "",
+    "tags": "",
+    "create_at": 0,
+    "create_by": "",
+    "update_at": 0,
+    "update_by": "",
+    "configs": {
+        "links": [],
+        "panels": [
+            {
+                "custom": {
+                    "calc": "lastNotNull",
+                    "colSpan": 1,
+                    "colorMode": "background",
+                    "graphMode": "none",
+                    "textMode": "valueAndName",
+                    "textSize": {},
+                    "valueField": "Value"
+                },
+                "datasourceCate": "prometheus",
+                "datasourceValue": "${DS_PROMETHEUS}",
+                "id": "970f949f-cdc8-4ec0-b2c8-c49d3bd14d8d",
+                "layout": {
+                    "h": 4,
+                    "i": "970f949f-cdc8-4ec0-b2c8-c49d3bd14d8d",
+                    "isResizable": true,
+                    "w": 3,
+                    "x": 0,
+                    "y": 0
+                },
+                "links": [],
+                "maxPerRow": 4,
+                "options": {
+                    "standardOptions": {
+                        "util": "none"
+                    },
+                    "thresholds": {
+                        "steps": [
+                            {
+                                "color": "#F2495C",
+                                "type": "base",
+                                "value": null
+                            },
+                            {
+                                "color": "#73BF69",
+                                "value": 0
+                            }
+                        ]
+                    },
+                    "valueMappings": []
+                },
+                "targets": [
+                    {
+                        "expr": "sum by(job) (kafka_controller_active_count{job=\"$cluster_id\"})",
+                        "legend": "Active Controller",
+                        "maxDataPoints": 240,
+                        "refId": "A"
+                    }
+                ],
+                "transformations": [
+                    {
+                        "id": "organize",
+                        "options": {}
+                    }
+                ],
+                "type": "stat",
+                "version": "3.0.0"
+            },
+            {
+                "custom": {
+                    "calc": "lastNotNull",
+                    "colSpan": 1,
+                    "colorMode": "background",
+                    "graphMode": "none",
+                    "textMode": "valueAndName",
+                    "textSize": {},
+                    "valueField": "Value"
+                },
+                "datasourceCate": "prometheus",
+                "datasourceValue": "${DS_PROMETHEUS}",
+                "id": "bcf3c5d7-9dd1-4cb6-81a1-3198f4b049e2",
+                "layout": {
+                    "h": 4,
+                    "i": "bcf3c5d7-9dd1-4cb6-81a1-3198f4b049e2",
+                    "isResizable": true,
+                    "w": 3,
+                    "x": 3,
+                    "y": 0
+                },
+                "links": [],
+                "maxPerRow": 4,
+                "options": {
+                    "standardOptions": {
+                        "util": "none"
+                    },
+                    "thresholds": {
+                        "steps": [
+                            {
+                                "color": "#73BF69",
+                                "type": "base",
+                                "value": null
+                            },
+                            {
+                                "color": "#F2495C",
+                                "value": 1
+                            }
+                        ]
+                    },
+                    "valueMappings": []
+                },
+                "targets": [
+                    {
+                        "expr": "kafka_broker_fenced_count{job=\"$cluster_id\", instance=\"$active_controller\"}",
+                        "legend": "Fenced Broker",
+                        "maxDataPoints": 240,
+                        "refId": "A"
+                    }
+                ],
+                "transformations": [
+                    {
+                        "id": "organize",
+                        "options": {}
+                    }
+                ],
+                "type": "stat",
+                "version": "3.0.0"
+            },
+            {
+                "custom": {
+                    "calc": "lastNotNull",
+                    "colSpan": 1,
+                    "colorMode": "background",
+                    "graphMode": "none",
+                    "textMode": "valueAndName",
+                    "textSize": {},
+                    "valueField": "Value"
+                },
+                "datasourceCate": "prometheus",
+                "datasourceValue": "${DS_PROMETHEUS}",
+                "id": "333648e6-4bef-4e2d-bb84-f1d720d383cc",
+                "layout": {
+                    "h": 4,
+                    "i": "333648e6-4bef-4e2d-bb84-f1d720d383cc",
+                    "isResizable": true,
+                    "w": 4,
+                    "x": 6,
+                    "y": 0
+                },
+                "links": [],
+                "maxPerRow": 4,
+                "options": {
+                    "standardOptions": {
+                        "util": "none"
+                    },
+                    "thresholds": {
+                        "steps": [
+                            {
+                                "color": "#3274D9",
+                                "type": "base",
+                                "value": null
+                            }
+                        ]
+                    },
+                    "valueMappings": []
+                },
+                "targets": [
+                    {
+                        "expr": "kafka_topic_count{job=\"$cluster_id\", instance=\"$active_controller\"}",
+                        "legend": "Topics",
+                        "maxDataPoints": 240,
+                        "refId": "A"
+                    }
+                ],
+                "transformations": [
+                    {
+                        "id": "organize",
+                        "options": {}
+                    }
+                ],
+                "type": "stat",
+                "version": "3.0.0"
+            },
+            {
+                "custom": {
+                    "calc": "lastNotNull",
+                    "colSpan": 1,
+                    "colorMode": "background",
+                    "graphMode": "none",
+                    "textMode": "value",
+                    "textSize": {},
+                    "valueField": "Value"
+                },
+                "datasourceCate": "prometheus",
+                "datasourceValue": "${DS_PROMETHEUS}",
+                "id": "659a8d96-5276-49fb-a011-22d85dace435",
+                "layout": {
+                    "h": 4,
+                    "i": "659a8d96-5276-49fb-a011-22d85dace435",
+                    "isResizable": true,
+                    "w": 2,
+                    "x": 10,
+                    "y": 0
+                },
+                "links": [],
+                "maxPerRow": 4,
+                "name": "Error Rate",
+                "options": {
+                    "standardOptions": {
+                        "decimals": 1,
+                        "util": "none"
+                    },
+                    "thresholds": {
+                        "steps": [
+                            {
+                                "color": "#73BF69",
+                                "type": "base",
+                                "value": null
+                            },
+                            {
+                                "color": "#F2495C",
+                                "value": 1
+                            }
+                        ]
+                    },
+                    "valueMappings": []
+                },
+                "targets": [
+                    {
+                        "expr": "sum(rate(kafka_request_error_count_total{job=\"$cluster_id\", error!=\"NONE\"}[$__rate_interval]))",
+                        "legend": "__auto",
+                        "maxDataPoints": 240,
+                        "refId": "A"
+                    }
+                ],
+                "transformations": [
+                    {
+                        "id": "organize",
+                        "options": {}
+                    }
+                ],
+                "type": "stat",
+                "version": "3.0.0"
+            },
+            {
+                "custom": {
+                    "drawStyle": "lines",
+                    "fillOpacity": 0.3,
+                    "gradientMode": "none",
+                    "lineInterpolation": "linear",
+                    "lineWidth": 1,
+                    "scaleDistribution": {
+                        "type": "linear"
+                    },
+                    "spanNulls": false,
+                    "stack": "off"
+                },
+                "datasourceCate": "prometheus",
+                "datasourceValue": "${DS_PROMETHEUS}",
+                "id": "0650f241-385f-4386-8b76-7f23d53ef8fb",
+                "layout": {
+                    "h": 8,
+                    "i": "0650f241-385f-4386-8b76-7f23d53ef8fb",
+                    "isResizable": true,
+                    "w": 12,
+                    "x": 12,
+                    "y": 0
+                },
+                "links": [],
+                "maxPerRow": 4,
+                "name": "Bytes In (+) / Out (-)",
+                "options": {
+                    "legend": {
+                        "behaviour": "showItem",
+                        "displayMode": "hidden",
+                        "placement": "bottom"
+                    },
+                    "standardOptions": {
+                        "decimals": 1,
+                        "util": "bytesSecIEC"
+                    },
+                    "thresholds": {
+                        "steps": [
+                            {
+                                "color": "#73BF69",
+                                "type": "base",
+                                "value": null
+                            }
+                        ]
+                    },
+                    "tooltip": {
+                        "mode": "all",
+                        "sort": "desc"
+                    },
+                    "valueMappings": []
+                },
+                "overrides": [
+                    {
+                        "matcher": {
+                            "id": "byFrameRefID"
+                        },
+                        "properties": {
+                            "rightYAxisDisplay": "off"
+                        }
+                    }
+                ],
+                "targets": [
+                    {
+                        "expr": "sum(rate(kafka_broker_network_io_bytes_total{job=\"$cluster_id\", direction=\"in\"}[$__rate_interval]))",
+                        "legend": "In",
+                        "maxDataPoints": 240,
+                        "refId": "A"
+                    },
+                    {
+                        "expr": "sum(rate(kafka_broker_network_io_bytes_total{job=\"$cluster_id\", direction=\"out\"}[$__rate_interval])) * -1",
+                        "legend": "Out",
+                        "maxDataPoints": 240,
+                        "refId": "B"
+                    }
+                ],
+                "transformations": [
+                    {
+                        "id": "organize",
+                        "options": {}
+                    }
+                ],
+                "type": "timeseries",
+                "version": "3.0.0"
+            },
+            {
+                "custom": {
+                    "calc": "lastNotNull",
+                    "colSpan": 1,
+                    "colorMode": "background",
+                    "graphMode": "none",
+                    "textMode": "valueAndName",
+                    "textSize": {},
+                    "valueField": "Value"
+                },
+                "datasourceCate": "prometheus",
+                "datasourceValue": "${DS_PROMETHEUS}",
+                "id": "aac842e5-e997-4c0f-84e4-0b104dd303e3",
+                "layout": {
+                    "h": 4,
+                    "i": "aac842e5-e997-4c0f-84e4-0b104dd303e3",
+                    "isResizable": true,
+                    "w": 6,
+                    "x": 0,
+                    "y": 4
+                },
+                "links": [],
+                "maxPerRow": 4,
+                "options": {
+                    "standardOptions": {
+                        "util": "none"
+                    },
+                    "thresholds": {
+                        "steps": [
+                            {
+                                "color": "#F2495C",
+                                "type": "base",
+                                "value": null
+                            },
+                            {
+                                "color": "#73BF69",
+                                "value": 0
+                            }
+                        ]
+                    },
+                    "valueMappings": []
+                },
+                "targets": [
+                    {
+                        "expr": "kafka_broker_active_count{job=\"$cluster_id\", instance=\"$active_controller\"}",
+                        "legend": "Active Broker",
+                        "maxDataPoints": 240,
+                        "refId": "A"
+                    }
+                ],
+                "transformations": [
+                    {
+                        "id": "organize",
+                        "options": {}
+                    }
+                ],
+                "type": "stat",
+                "version": "3.0.0"
+            },
+            {
+                "custom": {
+                    "calc": "lastNotNull",
+                    "colSpan": 1,
+                    "colorMode": "background",
+                    "graphMode": "none",
+                    "textMode": "valueAndName",
+                    "textSize": {},
+                    "valueField": "Value"
+                },
+                "datasourceCate": "prometheus",
+                "datasourceValue": "${DS_PROMETHEUS}",
+                "id": "fb4e88e4-9e6e-44d0-8bb8-1fe717c0b824",
+                "layout": {
+                    "h": 4,
+                    "i": "fb4e88e4-9e6e-44d0-8bb8-1fe717c0b824",
+                    "isResizable": true,
+                    "w": 4,
+                    "x": 6,
+                    "y": 4
+                },
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+                "maxPerRow": 4,
+                "options": {
+                    "standardOptions": {
+                        "util": "none"
+                    },
+                    "thresholds": {
+                        "steps": [
+                            {
+                                "color": "#3274D9",
+                                "type": "base",
+                                "value": null
+                            }
+                        ]
+                    },
+                    "valueMappings": []
+                },
+                "targets": [
+                    {
+                        "expr": "kafka_partition_total_count{job=\"$cluster_id\", instance=\"$active_controller\"}",
+                        "legend": "Partitions",
+                        "maxDataPoints": 240,
+                        "refId": "A"
+                    }
+                ],
+                "transformations": [
+                    {
+                        "id": "organize",
+                        "options": {}
+                    }
+                ],
+                "type": "stat",
+                "version": "3.0.0"
+            },
+            {
+                "custom": {
+                    "calc": "lastNotNull",
+                    "colSpan": 1,
+                    "colorMode": "background",
+                    "graphMode": "none",
+                    "textMode": "valueAndName",
+                    "textSize": {},
+                    "valueField": "Value"
+                },
+                "datasourceCate": "prometheus",
+                "datasourceValue": "${DS_PROMETHEUS}",
+                "id": "b752e09e-4bc4-4e12-935e-d24f1d422a9b",
+                "layout": {
+                    "h": 4,
+                    "i": "b752e09e-4bc4-4e12-935e-d24f1d422a9b",
+                    "isResizable": true,
+                    "w": 2,
+                    "x": 10,
+                    "y": 4
+                },
+                "links": [],
+                "maxPerRow": 4,
+                "options": {
+                    "standardOptions": {
+                        "decimals": 0,
+                        "util": "bytesIEC"
+                    },
+                    "thresholds": {
+                        "steps": [
+                            {
+                                "color": "#56A64B",
+                                "type": "base",
+                                "value": null
+                            }
+                        ]
+                    },
+                    "valueMappings": []
+                },
+                "targets": [
+                    {
+                        "expr": "sum(kafka_log_size{job=\"$cluster_id\"})",
+                        "legend": "Size",
+                        "maxDataPoints": 240,
+                        "refId": "A"
+                    }
+                ],
+                "transformations": [
+                    {
+                        "id": "organize",
+                        "options": {}
+                    }
+                ],
+                "type": "stat",
+                "version": "3.0.0"
+            },
+            {
+                "custom": {
+                    "baseColor": "#9470FF",
+                    "calc": "lastNotNull",
+                    "serieWidth": 70,
+                    "sortOrder": "desc"
+                },
+                "datasourceCate": "prometheus",
+                "datasourceValue": "${DS_PROMETHEUS}",
+                "id": "7b8a904f-179f-4140-9ed4-d109271ec7af",
+                "layout": {
+                    "h": 5,
+                    "i": "7b8a904f-179f-4140-9ed4-d109271ec7af",
+                    "isResizable": true,
+                    "w": 5,
+                    "x": 0,
+                    "y": 8
+                },
+                "links": [],
+                "maxPerRow": 4,
+                "name": "Group Count",
+                "options": {
+                    "standardOptions": {
+                        "util": "none"
+                    },
+                    "valueMappings": []
+                },
+                "targets": [
+                    {
+                        "expr": "sum(kafka_group_count{job=\"$cluster_id\"})",
+                        "legend": "total",
+                        "maxDataPoints": 240,
+                        "refId": "A"
+                    },
+                    {
+                        "expr": "sum(kafka_group_stable_count{job=\"$cluster_id\"})",
+                        "legend": "stable",
+                        "maxDataPoints": 240,
+                        "refId": "D"
+                    },
+                    {
+                        "expr": "sum(kafka_group_dead_count{job=\"$cluster_id\"})",
+                        "legend": "dead",
+                        "maxDataPoints": 240,
+                        "refId": "B"
+                    },
+                    {
+                        "expr": "sum(kafka_group_empty_count{job=\"$cluster_id\"})",
+                        "legend": "empty",
+                        "maxDataPoints": 240,
+                        "refId": "C"
+                    },
+                    {
+                        "expr": "sum(kafka_group_preparing_rebalance_count{job=\"$cluster_id\"})",
+                        "legend": "prepare_rebalance",
+                        "maxDataPoints": 240,
+                        "refId": "E"
+                    },
+                    {
+                        "expr": "sum(kafka_group_completing_rebalance_count{job=\"$cluster_id\"})",
+                        "legend": "completing_rebalance",
+                        "maxDataPoints": 240,
+                        "refId": "F"
+                    }
+                ],
+                "transformations": [
+                    {
+                        "id": "organize",
+                        "options": {}
+                    }
+                ],
+                "type": "barGauge",
+                "version": "3.0.0"
+            },
+            {
+                "custom": {
+                    "calc": "lastNotNull",
+                    "colorMode": "value",
+                    "columns": [],
+                    "displayMode": "labelsOfSeriesToRows",
+                    "linkMode": "appendLinkColumn",
+                    "links": [
+                        {
+                            "title": "下钻",
+                            "url": "/dashboards/automq-group-metrics?TSDB=${DS_PROMETHEUS}\u0026cluster_id=${cluster_id}\u0026group_id=${__field.labels.consumer_group}\u0026partition=all\u0026topic=${__field.labels.topic}"
+                        }
+                    ],
+                    "showHeader": true
+                },
+                "datasourceCate": "prometheus",
+                "datasourceValue": "${DS_PROMETHEUS}",
+                "id": "b7cb494b-413f-4b12-ae1e-7da55b65d5ee",
+                "layout": {
+                    "h": 5,
+                    "i": "b7cb494b-413f-4b12-ae1e-7da55b65d5ee",
+                    "isResizable": true,
+                    "w": 19,
+                    "x": 5,
+                    "y": 8
+                },
+                "links": [],
+                "maxPerRow": 4,
+                "name": "Consumer Lag",
+                "options": {
+                    "standardOptions": {},
+                    "valueMappings": [
+                        {
+                            "match": {
+                                "special": 0
+                            },
+                            "result": {
+                                "color": "rgba(44, 157, 61, 1)"
+                            },
+                            "type": "special"
+                        },
+                        {
+                            "match": {
+                                "from": 0
+                            },
+                            "result": {
+                                "color": "rgba(228, 22, 22, 1)"
+                            },
+                            "type": "range"
+                        }
+                    ]
+                },
+                "overrides": [
+                    {
+                        "matcher": {
+                            "id": "byFrameRefID"
+                        },
+                        "properties": {
+                            "valueMappings": []
+                        }
+                    }
+                ],
+                "targets": [
+                    {
+                        "expr": "sum by(topic) (max by(topic, partition) (kafka_log_end_offset{job=\"$cluster_id\"}))\n- on(topic) group_left(consumer_group)\nsum by(consumer_group, topic) (max by(consumer_group, topic, partition) (kafka_group_commit_offset{job=\"$cluster_id\"}))",
+                        "legend": "",
+                        "maxDataPoints": 240,
+                        "refId": "A"
+                    }
+                ],
+                "transformations": [
+                    {
+                        "id": "organize",
+                        "options": {
+                            "renameByName": {
+                                "value": "lag"
+                            }
+                        }
+                    }
+                ],
+                "type": "table",
+                "version": "3.0.0"
+            },
+            {
+                "custom": {
+                    "aggrDimension": [
+                        "topic"
+                    ],
+                    "calc": "lastNotNull",
+                    "colorMode": "value",
+                    "displayMode": "labelValuesToRows",
+                    "linkMode": "appendLinkColumn",
+                    "links": [
+                        {
+                            "title": "下钻",
+                            "url": "/dashboards/automq-topic-metrics?TSDB=${DS_PROMETHEUS}\u0026cluster_id=${cluster_id}\u0026topic=${__field.labels.topic}"
+                        }
+                    ],
+                    "showHeader": true
+                },
+                "datasourceCate": "prometheus",
+                "datasourceValue": "${DS_PROMETHEUS}",
+                "id": "90716481-5dd6-4c4e-8219-cbcb724a22d9",
+                "layout": {
+                    "h": 4,
+                    "i": "90716481-5dd6-4c4e-8219-cbcb724a22d9",
+                    "isResizable": true,
+                    "w": 24,
+                    "x": 0,
+                    "y": 13
+                },
+                "links": [],
+                "maxPerRow": 4,
+                "name": "Topic Statistics",
+                "options": {
+                    "standardOptions": {
+                        "decimals": 2
+                    }
+                },
+                "overrides": [
+                    {
+                        "matcher": {
+                            "id": "byFrameRefID",
+                            "value": "D"
+                        },
+                        "properties": {
+                            "standardOptions": {
+                                "decimals": 2,
+                                "util": "bytesIEC"
+                            },
+                            "valueMappings": []
+                        }
+                    },
+                    {
+                        "matcher": {
+                            "id": "byFrameRefID",
+                            "value": "A"
+                        },
+                        "properties": {
+                            "standardOptions": {
+                                "decimals": 1,
+                                "util": "bytesSecIEC"
+                            }
+                        },
+                        "type": "special"
+                    },
+                    {
+                        "matcher": {
+                            "id": "byFrameRefID",
+                            "value": "B"
+                        },
+                        "properties": {
+                            "standardOptions": {
+                                "decimals": 1,
+                                "util": "bytesSecIEC"
+                            }
+                        },
+                        "type": "special"
+                    }
+                ],
+                "targets": [
+                    {
+                        "expr": "sum by(topic) (rate(kafka_network_io_bytes_total{job=\"$cluster_id\", direction=\"in\"}[$__rate_interval]))",
+                        "legend": "Bytes in",
+                        "maxDataPoints": 240,
+                        "refId": "A"
+                    },
+                    {
+                        "expr": "sum by(topic) (rate(kafka_network_io_bytes_total{job=\"$cluster_id\", direction=\"out\"}[$__rate_interval]))",
+                        "legend": "Bytes out",
+                        "maxDataPoints": 240,
+                        "refId": "B"
+                    },
+                    {
+                        "expr": "sum by(topic) (rate(kafka_message_count_total{job=\"$cluster_id\", direction=\"in\"}[$__rate_interval]))",
+                        "legend": "Msgs in",
+                        "maxDataPoints": 240,
+                        "refId": "C"
+                    },
+                    {
+                        "expr": "sum by(topic) (kafka_log_size{job=\"$cluster_id\"})",
+                        "legend": "Size",
+                        "maxDataPoints": 240,
+                        "refId": "D"
+                    }
+                ],
+                "transformations": [
+                    {
+                        "id": "organize",
+                        "options": {}
+                    }
+                ],
+                "type": "table",
+                "version": "3.0.0"
+            },
+            {
+                "custom": {
+                    "aggrDimension": [
+                        "instance"
+                    ],
+                    "calc": "lastNotNull",
+                    "colorMode": "value",
+                    "displayMode": "labelValuesToRows",
+                    "linkMode": "appendLinkColumn",
+                    "links": [
+                        {
+                            "title": "下钻",
+                            "url": "/dashboards/automq-broker-metrics?DS_PROMETHEUS=${DS_PROMETHEUS}\u0026cluster_id=${cluster_id}\u0026node_id=${__field.labels.instance}"
+                        }
+                    ],
+                    "showHeader": true
+                },
+                "datasourceCate": "prometheus",
+                "datasourceValue": "${DS_PROMETHEUS}",
+                "id": "a427c6d3-0fab-45c2-92e5-585e5435fcfe",
+                "layout": {
+                    "h": 6,
+                    "i": "a427c6d3-0fab-45c2-92e5-585e5435fcfe",
+                    "isResizable": true,
+                    "w": 24,
+                    "x": 0,
+                    "y": 17
+                },
+                "links": [],
+                "maxPerRow": 4,
+                "name": "Broker Statistics",
+                "options": {
+                    "standardOptions": {}
+                },
+                "overrides": [
+                    {
+                        "matcher": {
+                            "id": "byFrameRefID",
+                            "value": "C"
+                        },
+                        "properties": {
+                            "standardOptions": {
+                                "util": "bytesSecIEC"
+                            }
+                        }
+                    },
+                    {
+                        "matcher": {
+                            "id": "byFrameRefID",
+                            "value": "D"
+                        },
+                        "properties": {
+                            "standardOptions": {
+                                "util": "bytesSecIEC"
+                            }
+                        },
+                        "type": "special"
+                    },
+                    {
+                        "matcher": {
+                            "id": "byFrameRefID",
+                            "value": "H"
+                        },
+                        "properties": {
+                            "standardOptions": {
+                                "util": "milliseconds"
+                            }
+                        },
+                        "type": "special"
+                    },
+                    {
+                        "matcher": {
+                            "id": "byFrameRefID",
+                            "value": "I"
+                        },
+                        "properties": {
+                            "standardOptions": {
+                                "util": "milliseconds"
+                            }
+                        },
+                        "type": "special"
+                    }
+                ],
+                "targets": [
+                    {
+                        "expr": "sum by(instance) (kafka_partition_count{job=\"$cluster_id\"})",
+                        "legend": "Partitions",
+                        "maxDataPoints": 240,
+                        "refId": "A"
+                    },
+                    {
+                        "expr": "sum by(instance) (kafka_server_connection_count{job=\"$cluster_id\"})",
+                        "legend": "Connections",
+                        "maxDataPoints": 240,
+                        "refId": "B"
+                    },
+                    {
+                        "expr": "sum by(instance) (rate(kafka_network_io_bytes_total{job=\"$cluster_id\", direction=\"in\"}[$__rate_interval]))",
+                        "legend": "Bytes In",
+                        "maxDataPoints": 240,
+                        "refId": "C"
+                    },
+                    {
+                        "expr": "sum by(instance) (rate(kafka_network_io_bytes_total{job=\"$cluster_id\", direction=\"out\"}[$__rate_interval]))",
+                        "legend": "Bytes Out",
+                        "maxDataPoints": 240,
+                        "refId": "D"
+                    },
+                    {
+                        "expr": "sum by(instance) (rate(kafka_message_count_total{job=\"$cluster_id\", direction=\"in\"}[$__rate_interval]))",
+                        "legend": "Msgs In",
+                        "maxDataPoints": 240,
+                        "refId": "E"
+                    },
+                    {
+                        "expr": "sum by(instance) (rate(kafka_request_count_total{job=\"$cluster_id\", type=\"Produce\"}[$__rate_interval]))",
+                        "legend": "Produce",
+                        "maxDataPoints": 240,
+                        "refId": "F"
+                    },
+                    {
+                        "expr": "sum by(instance) (rate(kafka_request_count_total{job=\"$cluster_id\", type=\"Fetch\"}[$__rate_interval]))",
+                        "legend": "Fetch",
+                        "maxDataPoints": 240,
+                        "refId": "G"
+                    },
+                    {
+                        "expr": "sum by(instance) (kafka_request_time_99p_milliseconds{job=\"$cluster_id\", type=\"Produce\"})",
+                        "legend": "Produce P99",
+                        "maxDataPoints": 240,
+                        "refId": "H"
+                    },
+                    {
+                        "expr": "sum by(instance) (kafka_request_time_99p_milliseconds{job=\"$cluster_id\", type=\"Fetch\"})",
+                        "legend": "Fetch P99",
+                        "maxDataPoints": 240,
+                        "refId": "I"
+                    },
+                    {
+                        "expr": "sum by(instance) (rate(kafka_topic_request_failed_total{job=\"$cluster_id\", type=\"produce\"}[$__rate_interval]))",
+                        "legend": "Failed Produce",
+                        "maxDataPoints": 240,
+                        "refId": "J"
+                    },
+                    {
+                        "expr": "sum by(instance) (rate(kafka_topic_request_failed_total{job=\"$cluster_id\", type=\"fetch\"}[$__rate_interval]))",
+                        "legend": "Failed Fetch",
+                        "maxDataPoints": 240,
+                        "refId": "K"
+                    },
+                    {
+                        "expr": "sum by(instance) (rate(kafka_request_error_count_total{job=\"$cluster_id\", error!=\"NONE\"}[$__rate_interval]))",
+                        "legend": "Error Request",
+                        "maxDataPoints": 240,
+                        "refId": "L"
+                    }
+                ],
+                "transformations": [
+                    {
+                        "id": "organize",
+                        "options": {
+                            "renameByName": {
+                                "instance": "Node ID"
+                            }
+                        }
+                    }
+                ],
+                "type": "table",
+                "version": "3.0.0"
+            }
+        ],
+        "var": [
+            {
+                "definition": "prometheus",
+                "name": "DS_PROMETHEUS",
+                "type": "datasource"
+            },
+            {
+                "allOption": false,
+                "datasource": {
+                    "cate": "prometheus",
+                    "value": "${DS_PROMETHEUS}"
+                },
+                "definition": "label_values(process_runtime_jvm_cpu_utilization_ratio,job)",
+                "hide": false,
+                "multi": false,
+                "name": "cluster_id",
+                "reg": "",
+                "type": "query"
+            },
+            {
+                "datasource": {
+                    "cate": "prometheus",
+                    "value": "${DS_PROMETHEUS}"
+                },
+                "definition": "label_values(kafka_controller_active_count{job=\"$cluster_id\"} \u003e 0, instance)",
+                "hide": false,
+                "multi": false,
+                "name": "active_controller",
+                "reg": "",
+                "type": "query"
+            }
+        ],
+        "version": "3.0.0"
+    },
+    "public": 0,
+    "public_cate": 0,
+    "bgids": null,
+    "built_in": 0,
+    "hide": 0,
+    "uuid": 1717556327162929000
+}

integrations/AutoMQ/dashboards/group_metrics.json

@@ -0,0 +1,238 @@
+{
+    "id": 0,
+    "group_id": 0,
+    "name": "Group Metrics",
+    "ident": "automq-group-metrics",
+    "tags": "",
+    "create_at": 0,
+    "create_by": "",
+    "update_at": 0,
+    "update_by": "",
+    "configs": {
+        "links": [],
+        "panels": [
+            {
+                "custom": {
+                    "drawStyle": "lines",
+                    "fillOpacity": 0,
+                    "gradientMode": "none",
+                    "lineInterpolation": "linear",
+                    "lineWidth": 1,
+                    "scaleDistribution": {
+                        "type": "linear"
+                    },
+                    "spanNulls": false,
+                    "stack": "off"
+                },
+                "datasourceCate": "prometheus",
+                "datasourceValue": "${TSDB}",
+                "id": "cac8a249-bb61-4c2d-bc90-91a7dac58f3b",
+                "layout": {
+                    "h": 5,
+                    "i": "cac8a249-bb61-4c2d-bc90-91a7dac58f3b",
+                    "isResizable": true,
+                    "w": 12,
+                    "x": 0,
+                    "y": 0
+                },
+                "links": [],
+                "maxPerRow": 4,
+                "name": "Consumer Throughput",
+                "options": {
+                    "legend": {
+                        "behaviour": "showItem",
+                        "displayMode": "hidden",
+                        "placement": "bottom"
+                    },
+                    "standardOptions": {
+                        "util": "none"
+                    },
+                    "thresholds": {
+                        "steps": [
+                            {
+                                "color": "#73BF69",
+                                "type": "base",
+                                "value": null
+                            }
+                        ]
+                    },
+                    "tooltip": {
+                        "mode": "all",
+                        "sort": "desc"
+                    },
+                    "valueMappings": []
+                },
+                "overrides": [
+                    {
+                        "matcher": {
+                            "id": "byFrameRefID"
+                        },
+                        "properties": {
+                            "rightYAxisDisplay": "off"
+                        }
+                    }
+                ],
+                "targets": [
+                    {
+                        "expr": "sum by(consumer_group, topic, partition) (rate(kafka_group_commit_offset{job=\"$cluster_id\", consumer_group=~\"$group_id\", topic=~\"$topic\", partition=~\"$partition\"}[$__rate_interval]))",
+                        "legend": "{{consumer_group}}#{{topic}}-{{partition}}",
+                        "maxDataPoints": 240,
+                        "refId": "A"
+                    }
+                ],
+                "transformations": [
+                    {
+                        "id": "organize",
+                        "options": {}
+                    }
+                ],
+                "type": "timeseries",
+                "version": "3.0.0"
+            },
+            {
+                "custom": {
+                    "drawStyle": "lines",
+                    "fillOpacity": 0,
+                    "gradientMode": "none",
+                    "lineInterpolation": "linear",
+                    "lineWidth": 1,
+                    "scaleDistribution": {
+                        "type": "linear"
+                    },
+                    "spanNulls": false,
+                    "stack": "off"
+                },
+                "datasourceCate": "prometheus",
+                "datasourceValue": "${TSDB}",
+                "id": "fc0afd7c-0161-4ee4-88de-81c74f432769",
+                "layout": {
+                    "h": 5,
+                    "i": "12e7bb88-2851-44ea-a311-44ebcdb0e7b7",
+                    "isResizable": true,
+                    "w": 12,
+                    "x": 12,
+                    "y": 0
+                },
+                "links": [],
+                "maxPerRow": 4,
+                "name": "Consumer Lag",
+                "options": {
+                    "legend": {
+                        "behaviour": "showItem",
+                        "displayMode": "hidden",
+                        "placement": "bottom"
+                    },
+                    "standardOptions": {
+                        "util": "none"
+                    },
+                    "thresholds": {
+                        "steps": [
+                            {
+                                "color": "#73BF69",
+                                "type": "base",
+                                "value": null
+                            }
+                        ]
+                    },
+                    "tooltip": {
+                        "mode": "all",
+                        "sort": "desc"
+                    },
+                    "valueMappings": []
+                },
+                "overrides": [
+                    {
+                        "matcher": {
+                            "id": "byFrameRefID"
+                        },
+                        "properties": {
+                            "rightYAxisDisplay": "off"
+                        }
+                    }
+                ],
+                "targets": [
+                    {
+                        "expr": "sum by(topic) (max by(topic, partition) (kafka_log_end_offset{job=\"$cluster_id\", topic=~\"$topic\", partition=~\"$partition\"}))\n- on(topic) group_left(consumer_group)\nsum by(consumer_group, topic) (max by(consumer_group, topic, partition) (kafka_group_commit_offset{job=\"$cluster_id\", consumer_group=~\"$group_id\", topic=~\"$topic\", partition=~\"$partition\"}))",
+                        "legend": "{{consumer_group}}#{{topic}}-{{partition}}",
+                        "maxDataPoints": 240,
+                        "refId": "A"
+                    }
+                ],
+                "transformations": [
+                    {
+                        "id": "organize",
+                        "options": {}
+                    }
+                ],
+                "type": "timeseries",
+                "version": "3.0.0"
+            }
+        ],
+        "var": [
+            {
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+                "hide": false,
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+}

integrations/AutoMQ/dashboards/topic_metrics.json

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+    "group_id": 0,
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+    "ident": "automq-topic-metrics",
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+    "create_at": 0,
+    "create_by": "",
+    "update_at": 0,
+    "update_by": "",
+    "configs": {
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+                    "thresholds": {
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+                "targets": [
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+                        "legend": "{{topic}}-{{partition}}",
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+                "name": "cluster_id",
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+                "multi": true,
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+}

integrations/AutoMQ/markdown/overview.md

@@ -0,0 +1,20 @@
+## 前言
+
+AuthMQ 官方文档提供了指标吐出方式以及和监控系统的整合方式，具体可以参考[AutoMQ](https://docs.automq.com/zh/docs/automq-opensource/LkwkwdQlwizjqckhj0dcc2IdnDh)。
+
+## 推荐方式
+
+建议采用 AutoMQ 文档中的方案二：使用 Prometheus OTLP Receiver 的方式，把所有的指标都收集到 OTel Collector 中，然后使用 Prometheus 或者 Categraf 直接去拉取数据即可。假如使用 Categraf，就是使用 prometheus 插件去拉取数据，比如我们为 prometheus 插件提供一个单独的 automq.toml 的配置文件：`conf/input.prometheus/automq.toml` ，内容如下：
+
+```toml
+[[instances]]
+urls = [
+     "http://<otel-collector-ip>:<otel-collector-port>/metrics"
+]
+
+url_label_key = "otel_collector"
+url_label_value = "{{.Host}}"
+```
+
+注意，url_label_key 一般都是指定为 instance，但是这里故意指定为其他字符串，是因为 AutoMQ 原始的指标中包含了 instance 标签，为了避免冲突，所以指定为其他字符串。
+

integrations/AutoMQ/metrics/exporter.json

@@ -0,0 +1,887 @@
+[
+    {
+        "id": 0,
+        "uuid": 1717556327176351000,
+        "collector": "Exporter",
+        "typ": "AutoMQ",
+        "name": "Broker节点入站网络IO速率",
+        "unit": "bytesSecSI",
+        "note": "",
+        "lang": "zh_CN",
+        "expression": "sum by(job, instance) (rate(kafka_network_io_bytes_total{direction=\"in\"}[1m]))",
+        "created_at": 0,
+        "created_by": "",
+        "updated_at": 0,
+        "updated_by": ""
+    },
+    {
+        "id": 0,
+        "uuid": 1717556327179998000,
+        "collector": "Exporter",
+        "typ": "AutoMQ",
+        "name": "Broker节点出站网络IO速率",
+        "unit": "bytesSecSI",
+        "note": "",
+        "lang": "zh_CN",
+        "expression": "sum by(job, instance) (rate(kafka_network_io_bytes_total{direction=\"out\"}[1m]))",
+        "created_at": 0,
+        "created_by": "",
+        "updated_at": 0,
+        "updated_by": ""
+    },
+    {
+        "id": 0,
+        "uuid": 1717556327182502000,
+        "collector": "Exporter",
+        "typ": "AutoMQ",
+        "name": "Broker节点当前分配的分区数量",
+        "unit": "sishort",
+        "note": "",
+        "lang": "zh_CN",
+        "expression": "kafka_partition_count",
+        "created_at": 0,
+        "created_by": "",
+        "updated_at": 0,
+        "updated_by": ""
+    },
+    {
+        "id": 0,
+        "uuid": 1717556327184905000,
+        "collector": "Exporter",
+        "typ": "AutoMQ",
+        "name": "Broker节点每秒消息吞吐量",
+        "unit": "sishort",
+        "note": "",
+        "lang": "zh_CN",
+        "expression": "sum by(job, instance) (rate(kafka_message_count_total[1m]))",
+        "created_at": 0,
+        "created_by": "",
+        "updated_at": 0,
+        "updated_by": ""
+    },
+    {
+        "id": 0,
+        "uuid": 1717556327187098000,
+        "collector": "Exporter",
+        "typ": "AutoMQ",
+        "name": "Consumer Group提交偏移量总和",
+        "unit": "none",
+        "note": "",
+        "lang": "zh_CN",
+        "expression": "sum by(job, consumer_group, topic) (max by(job, consumer_group, topic, partition) (kafka_group_commit_offset))",
+        "created_at": 0,
+        "created_by": "",
+        "updated_at": 0,
+        "updated_by": ""
+    },
+    {
+        "id": 0,
+        "uuid": 1717556327189255000,
+        "collector": "Exporter",
+        "typ": "AutoMQ",
+        "name": "Consumer Group提交偏移量速率（每个实例）",
+        "unit": "none",
+        "note": "",
+        "lang": "zh_CN",
+        "expression": "sum by(job, consumer_group, topic, partition) (rate(kafka_group_commit_offset[1m]))",
+        "created_at": 0,
+        "created_by": "",
+        "updated_at": 0,
+        "updated_by": ""
+    },
+    {
+        "id": 0,
+        "uuid": 1717556327191388000,
+        "collector": "Exporter",
+        "typ": "AutoMQ",
+        "name": "Consumer Group数量总和",
+        "unit": "sishort",
+        "note": "",
+        "lang": "zh_CN",
+        "expression": "sum by (job) (kafka_group_count)",
+        "created_at": 0,
+        "created_by": "",
+        "updated_at": 0,
+        "updated_by": ""
+    },
+    {
+        "id": 0,
+        "uuid": 1717556327193321000,
+        "collector": "Exporter",
+        "typ": "AutoMQ",
+        "name": "Consumer Group最大提交偏移量",
+        "unit": "none",
+        "note": "",
+        "lang": "zh_CN",
+        "expression": "max by(job, consumer_group, topic, partition) (kafka_group_commit_offset)",
+        "created_at": 0,
+        "created_by": "",
+        "updated_at": 0,
+        "updated_by": ""
+    },
+    {
+        "id": 0,
+        "uuid": 1717556327195219000,
+        "collector": "Exporter",
+        "typ": "AutoMQ",
+        "name": "Fetch请求处理时间的50分位数",
+        "unit": "milliseconds",
+        "note": "",
+        "lang": "zh_CN",
+        "expression": "kafka_request_time_50p_milliseconds",
+        "created_at": 0,
+        "created_by": "",
+        "updated_at": 0,
+        "updated_by": ""
+    },
+    {
+        "id": 0,
+        "uuid": 1717556327197092000,
+        "collector": "Exporter",
+        "typ": "AutoMQ",
+        "name": "Fetch请求处理时间的99分位数",
+        "unit": "milliseconds",
+        "note": "",
+        "lang": "zh_CN",
+        "expression": "kafka_request_time_99p_milliseconds",
+        "created_at": 0,
+        "created_by": "",
+        "updated_at": 0,
+        "updated_by": ""
+    },
+    {
+        "id": 0,
+        "uuid": 1717556327198909000,
+        "collector": "Exporter",
+        "typ": "AutoMQ",
+        "name": "Fetch请求处理时间的99分位数（每个实例）",
+        "unit": "milliseconds",
+        "note": "",
+        "lang": "zh_CN",
+        "expression": "avg by(job, instance) (kafka_request_time_99p_milliseconds)",
+        "created_at": 0,
+        "created_by": "",
+        "updated_at": 0,
+        "updated_by": ""
+    },
+    {
+        "id": 0,
+        "uuid": 1717556327201071000,
+        "collector": "Exporter",
+        "typ": "AutoMQ",
+        "name": "Fetch请求处理时间的平均值",
+        "unit": "milliseconds",
+        "note": "",
+        "lang": "zh_CN",
+        "expression": "kafka_request_time_mean_milliseconds",
+        "created_at": 0,
+        "created_by": "",
+        "updated_at": 0,
+        "updated_by": ""
+    },
+    {
+        "id": 0,
+        "uuid": 1717556327202824000,
+        "collector": "Exporter",
+        "typ": "AutoMQ",
+        "name": "Fetch请求处理时间的最大值",
+        "unit": "milliseconds",
+        "note": "",
+        "lang": "zh_CN",
+        "expression": "kafka_request_time_max_milliseconds",
+        "created_at": 0,
+        "created_by": "",
+        "updated_at": 0,
+        "updated_by": ""
+    },
+    {
+        "id": 0,
+        "uuid": 1717556327204459000,
+        "collector": "Exporter",
+        "typ": "AutoMQ",
+        "name": "Fetch请求失败速率（每个实例）",
+        "unit": "reqps",
+        "note": "",
+        "lang": "zh_CN",
+        "expression": "sum by(job, instance) (rate(kafka_topic_request_failed_total[1m]))",
+        "created_at": 0,
+        "created_by": "",
+        "updated_at": 0,
+        "updated_by": ""
+    },
+    {
+        "id": 0,
+        "uuid": 1717556327206530000,
+        "collector": "Exporter",
+        "typ": "AutoMQ",
+        "name": "Kafka Controller活跃状态计数",
+        "unit": "sishort",
+        "note": "",
+        "lang": "zh_CN",
+        "expression": "sum by(job) (kafka_controller_active_count)",
+        "created_at": 0,
+        "created_by": "",
+        "updated_at": 0,
+        "updated_by": ""
+    },
+    {
+        "id": 0,
+        "uuid": 1717556327208370000,
+        "collector": "Exporter",
+        "typ": "AutoMQ",
+        "name": "Produce请求处理时间的50分位数",
+        "unit": "milliseconds",
+        "note": "",
+        "lang": "zh_CN",
+        "expression": "kafka_request_time_50p_milliseconds",
+        "created_at": 0,
+        "created_by": "",
+        "updated_at": 0,
+        "updated_by": ""
+    },
+    {
+        "id": 0,
+        "uuid": 1717556327210667000,
+        "collector": "Exporter",
+        "typ": "AutoMQ",
+        "name": "Produce请求处理时间的99分位数",
+        "unit": "milliseconds",
+        "note": "",
+        "lang": "zh_CN",
+        "expression": "kafka_request_time_99p_milliseconds",
+        "created_at": 0,
+        "created_by": "",
+        "updated_at": 0,
+        "updated_by": ""
+    },
+    {
+        "id": 0,
+        "uuid": 1717556327212669000,
+        "collector": "Exporter",
+        "typ": "AutoMQ",
+        "name": "Produce请求处理时间的99分位数（每个实例）",
+        "unit": "milliseconds",
+        "note": "",
+        "lang": "zh_CN",
+        "expression": "avg by(job, instance) (kafka_request_time_99p_milliseconds)",
+        "created_at": 0,
+        "created_by": "",
+        "updated_at": 0,
+        "updated_by": ""
+    },
+    {
+        "id": 0,
+        "uuid": 1717556327214580000,
+        "collector": "Exporter",
+        "typ": "AutoMQ",
+        "name": "Produce请求处理时间的平均值",
+        "unit": "milliseconds",
+        "note": "",
+        "lang": "zh_CN",
+        "expression": "kafka_request_time_mean_milliseconds",
+        "created_at": 0,
+        "created_by": "",
+        "updated_at": 0,
+        "updated_by": ""
+    },
+    {
+        "id": 0,
+        "uuid": 1717556327217055000,
+        "collector": "Exporter",
+        "typ": "AutoMQ",
+        "name": "Produce请求处理时间的最大值",
+        "unit": "milliseconds",
+        "note": "",
+        "lang": "zh_CN",
+        "expression": "kafka_request_time_max_milliseconds",
+        "created_at": 0,
+        "created_by": "",
+        "updated_at": 0,
+        "updated_by": ""
+    },
+    {
+        "id": 0,
+        "uuid": 1717556327219060000,
+        "collector": "Exporter",
+        "typ": "AutoMQ",
+        "name": "Produce请求失败速率（每个实例）",
+        "unit": "reqps",
+        "note": "",
+        "lang": "zh_CN",
+        "expression": "sum by(job, instance) (rate(kafka_topic_request_failed_total[1m]))",
+        "created_at": 0,
+        "created_by": "",
+        "updated_at": 0,
+        "updated_by": ""
+    },
+    {
+        "id": 0,
+        "uuid": 1717556327221295000,
+        "collector": "Exporter",
+        "typ": "AutoMQ",
+        "name": "各个Consumer Group和Topic的最大提交偏移量",
+        "unit": "none",
+        "note": "",
+        "lang": "zh_CN",
+        "expression": "max by(job, consumer_group, topic, partition) (kafka_group_commit_offset)",
+        "created_at": 0,
+        "created_by": "",
+        "updated_at": 0,
+        "updated_by": ""
+    },
+    {
+        "id": 0,
+        "uuid": 1717556327223767000,
+        "collector": "Exporter",
+        "typ": "AutoMQ",
+        "name": "各个Topic分区的最大日志结束偏移量",
+        "unit": "none",
+        "note": "",
+        "lang": "zh_CN",
+        "expression": "max by(job, topic, partition) (kafka_log_end_offset)",
+        "created_at": 0,
+        "created_by": "",
+        "updated_at": 0,
+        "updated_by": ""
+    },
+    {
+        "id": 0,
+        "uuid": 1717556327225577000,
+        "collector": "Exporter",
+        "typ": "AutoMQ",
+        "name": "实例的Fetch请求速率",
+        "unit": "reqps",
+        "note": "",
+        "lang": "zh_CN",
+        "expression": "sum by(job, instance, topic) (rate(kafka_request_count_total[1m]))",
+        "created_at": 0,
+        "created_by": "",
+        "updated_at": 0,
+        "updated_by": ""
+    },
+    {
+        "id": 0,
+        "uuid": 1717556327227527000,
+        "collector": "Exporter",
+        "typ": "AutoMQ",
+        "name": "实例的Produce请求速率",
+        "unit": "reqps",
+        "note": "",
+        "lang": "zh_CN",
+        "expression": "sum by(job, instance, topic) (rate(kafka_request_count_total[1m]))",
+        "created_at": 0,
+        "created_by": "",
+        "updated_at": 0,
+        "updated_by": ""
+    },
+    {
+        "id": 0,
+        "uuid": 1717556327229750000,
+        "collector": "Exporter",
+        "typ": "AutoMQ",
+        "name": "已死亡的Consumer Group数量总和",
+        "unit": "sishort",
+        "note": "",
+        "lang": "zh_CN",
+        "expression": "sum by (job) (kafka_group_dead_count)",
+        "created_at": 0,
+        "created_by": "",
+        "updated_at": 0,
+        "updated_by": ""
+    },
+    {
+        "id": 0,
+        "uuid": 1717556327231514000,
+        "collector": "Exporter",
+        "typ": "AutoMQ",
+        "name": "日志大小总和",
+        "unit": "bytesSI",
+        "note": "",
+        "lang": "zh_CN",
+        "expression": "sum by (job) (max by(job, topic, partition) (kafka_log_size))",
+        "created_at": 0,
+        "created_by": "",
+        "updated_at": 0,
+        "updated_by": ""
+    },
+    {
+        "id": 0,
+        "uuid": 1717556327233243000,
+        "collector": "Exporter",
+        "typ": "AutoMQ",
+        "name": "日志消费延迟 lag",
+        "unit": "none",
+        "note": "",
+        "lang": "zh_CN",
+        "expression": "sum by(job, topic) (max by(job, topic, partition) (kafka_log_end_offset{}))\n- on(job, topic) group_left(consumer_group)\nsum by(job, consumer_group, topic) (max by(job, consumer_group, topic, partition) (kafka_group_commit_offset{}))",
+        "created_at": 0,
+        "created_by": "",
+        "updated_at": 0,
+        "updated_by": ""
+    },
+    {
+        "id": 0,
+        "uuid": 1717556327236120000,
+        "collector": "Exporter",
+        "typ": "AutoMQ",
+        "name": "日志结束偏移量总和",
+        "unit": "none",
+        "note": "",
+        "lang": "zh_CN",
+        "expression": "sum by(job, topic) (max by(job, topic, partition) (kafka_log_end_offset))",
+        "created_at": 0,
+        "created_by": "",
+        "updated_at": 0,
+        "updated_by": ""
+    },
+    {
+        "id": 0,
+        "uuid": 1717556327237878000,
+        "collector": "Exporter",
+        "typ": "AutoMQ",
+        "name": "日志结束最大偏移量",
+        "unit": "none",
+        "note": "",
+        "lang": "zh_CN",
+        "expression": "max by(job, topic, partition) (kafka_log_end_offset)",
+        "created_at": 0,
+        "created_by": "",
+        "updated_at": 0,
+        "updated_by": ""
+    },
+    {
+        "id": 0,
+        "uuid": 1717556327240138000,
+        "collector": "Exporter",
+        "typ": "AutoMQ",
+        "name": "正在准备进行rebalance的Consumer Group数量总和",
+        "unit": "sishort",
+        "note": "",
+        "lang": "zh_CN",
+        "expression": "sum by (job) (kafka_group_preparing_rebalance_count)",
+        "created_at": 0,
+        "created_by": "",
+        "updated_at": 0,
+        "updated_by": ""
+    },
+    {
+        "id": 0,
+        "uuid": 1717556327241777000,
+        "collector": "Exporter",
+        "typ": "AutoMQ",
+        "name": "正在等待Leader进行状态分配的Consumer Group数量总和",
+        "unit": "sishort",
+        "note": "",
+        "lang": "zh_CN",
+        "expression": "sum by (job) (kafka_group_completing_rebalance_count)",
+        "created_at": 0,
+        "created_by": "",
+        "updated_at": 0,
+        "updated_by": ""
+    },
+    {
+        "id": 0,
+        "uuid": 1717556327243616000,
+        "collector": "Exporter",
+        "typ": "AutoMQ",
+        "name": "每个Topic的Broker节点入站网络IO速率sum by(topic)",
+        "unit": "bytesSecSI",
+        "note": "",
+        "lang": "zh_CN",
+        "expression": "sum by(job, topic) (rate(kafka_network_io_bytes_total{direction=\"in\"}[1m]))",
+        "created_at": 0,
+        "created_by": "",
+        "updated_at": 0,
+        "updated_by": ""
+    },
+    {
+        "id": 0,
+        "uuid": 1717556327245855000,
+        "collector": "Exporter",
+        "typ": "AutoMQ",
+        "name": "每个Topic的Broker节点入站网络IO速率sum by(topic, instance)",
+        "unit": "bytesSecSI",
+        "note": "",
+        "lang": "zh_CN",
+        "expression": "sum by(job, topic, instance) (rate(kafka_network_io_bytes_total{direction=\"in\"}[1m]))",
+        "created_at": 0,
+        "created_by": "",
+        "updated_at": 0,
+        "updated_by": ""
+    },
+    {
+        "id": 0,
+        "uuid": 1717556327247589000,
+        "collector": "Exporter",
+        "typ": "AutoMQ",
+        "name": "每个Topic的Broker节点出站网络IO速率sum by(topic)",
+        "unit": "bytesSecSI",
+        "note": "",
+        "lang": "zh_CN",
+        "expression": "sum by(job, topic) (rate(kafka_network_io_bytes_total{direction=\"out\"}[1m]))",
+        "created_at": 0,
+        "created_by": "",
+        "updated_at": 0,
+        "updated_by": ""
+    },
+    {
+        "id": 0,
+        "uuid": 1717556327249421000,
+        "collector": "Exporter",
+        "typ": "AutoMQ",
+        "name": "每个Topic的Broker节点出站网络IO速率sum by(topic, instance)",
+        "unit": "bytesSecSI",
+        "note": "",
+        "lang": "zh_CN",
+        "expression": "sum by(job, topic, instance) (rate(kafka_network_io_bytes_total{direction=\"out\"}[1m]))",
+        "created_at": 0,
+        "created_by": "",
+        "updated_at": 0,
+        "updated_by": ""
+    },
+    {
+        "id": 0,
+        "uuid": 1717556327251637000,
+        "collector": "Exporter",
+        "typ": "AutoMQ",
+        "name": "每个Topic的Broker节点出站网络IO速率sum by(topic, partition)",
+        "unit": "bytesSecSI",
+        "note": "",
+        "lang": "zh_CN",
+        "expression": "sum by(job, topic, partition) (rate(kafka_network_io_bytes_total{direction=\"out\"}[1m]))",
+        "created_at": 0,
+        "created_by": "",
+        "updated_at": 0,
+        "updated_by": ""
+    },
+    {
+        "id": 0,
+        "uuid": 1717556327253444000,
+        "collector": "Exporter",
+        "typ": "AutoMQ",
+        "name": "每个Topic的Broker节点消息吞吐量（入站）sum by(topic)",
+        "unit": "mps",
+        "note": "",
+        "lang": "zh_CN",
+        "expression": "sum by(job, topic) (rate(kafka_message_count_total{direction=\"in\"}[1m]))",
+        "created_at": 0,
+        "created_by": "",
+        "updated_at": 0,
+        "updated_by": ""
+    },
+    {
+        "id": 0,
+        "uuid": 1717556327255550000,
+        "collector": "Exporter",
+        "typ": "AutoMQ",
+        "name": "每个Topic的Broker节点消息吞吐量（入站）sum by(topic, instance)",
+        "unit": "mps",
+        "note": "",
+        "lang": "zh_CN",
+        "expression": "sum by(job, topic, instance) (rate(kafka_message_count_total{direction=\"in\"}[1m]))",
+        "created_at": 0,
+        "created_by": "",
+        "updated_at": 0,
+        "updated_by": ""
+    },
+    {
+        "id": 0,
+        "uuid": 1717556327257265000,
+        "collector": "Exporter",
+        "typ": "AutoMQ",
+        "name": "每个Topic的Broker节点网络IO速率（集群级别）",
+        "unit": "bytesSecSI",
+        "note": "",
+        "lang": "zh_CN",
+        "expression": "sum by(job) (rate(kafka_network_io_bytes_total[1m]))",
+        "created_at": 0,
+        "created_by": "",
+        "updated_at": 0,
+        "updated_by": ""
+    },
+    {
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+        "uuid": 1717556327259010000,
+        "collector": "Exporter",
+        "typ": "AutoMQ",
+        "name": "每个Topic的日志大小",
+        "unit": "bytesSI",
+        "note": "",
+        "lang": "zh_CN",
+        "expression": "sum by(job, topic) (kafka_log_size)",
+        "created_at": 0,
+        "created_by": "",
+        "updated_at": 0,
+        "updated_by": ""
+    },
+    {
+        "id": 0,
+        "uuid": 1717556327260869000,
+        "collector": "Exporter",
+        "typ": "AutoMQ",
+        "name": "每个Topic的消息吞吐量sum by(topic, type)",
+        "unit": "mps",
+        "note": "",
+        "lang": "zh_CN",
+        "expression": "sum by(job, topic, type) (rate(kafka_message_count_total[1m]))",
+        "created_at": 0,
+        "created_by": "",
+        "updated_at": 0,
+        "updated_by": ""
+    },
+    {
+        "id": 0,
+        "uuid": 1717556327262606000,
+        "collector": "Exporter",
+        "typ": "AutoMQ",
+        "name": "每个Topic的请求计数sum by(topic, type)",
+        "unit": "reqps",
+        "note": "",
+        "lang": "zh_CN",
+        "expression": "sum by(job, topic, type) (rate(kafka_topic_request_count_total[1m]))",
+        "created_at": 0,
+        "created_by": "",
+        "updated_at": 0,
+        "updated_by": ""
+    },
+    {
+        "id": 0,
+        "uuid": 1717556327264897000,
+        "collector": "Exporter",
+        "typ": "AutoMQ",
+        "name": "每个实例的Broker节点出站网络IO速率(实例级别)",
+        "unit": "bytesSecSI",
+        "note": "",
+        "lang": "zh_CN",
+        "expression": "sum by(job, instance) (rate(kafka_network_io_bytes_total{direction=\"out\"}[1m]))",
+        "created_at": 0,
+        "created_by": "",
+        "updated_at": 0,
+        "updated_by": ""
+    },
+    {
+        "id": 0,
+        "uuid": 1717556327267156000,
+        "collector": "Exporter",
+        "typ": "AutoMQ",
+        "name": "每个实例的Broker节点分区数量",
+        "unit": "sishort",
+        "note": "",
+        "lang": "zh_CN",
+        "expression": "sum by(job, instance) (kafka_partition_count)",
+        "created_at": 0,
+        "created_by": "",
+        "updated_at": 0,
+        "updated_by": ""
+    },
+    {
+        "id": 0,
+        "uuid": 1717556327269529000,
+        "collector": "Exporter",
+        "typ": "AutoMQ",
+        "name": "每个实例的Broker节点消息吞吐量（入站）",
+        "unit": "mps",
+        "note": "",
+        "lang": "zh_CN",
+        "expression": "sum by(job, instance) (rate(kafka_message_count_total{direction=\"in\"}[1m]))",
+        "created_at": 0,
+        "created_by": "",
+        "updated_at": 0,
+        "updated_by": ""
+    },
+    {
+        "id": 0,
+        "uuid": 1717556327271703000,
+        "collector": "Exporter",
+        "typ": "AutoMQ",
+        "name": "每个实例的Fetch请求速率",
+        "unit": "reqps",
+        "note": "",
+        "lang": "zh_CN",
+        "expression": "sum by(job, instance) (rate(kafka_request_count_total{type=\"Fetch\"}[1m]))",
+        "created_at": 0,
+        "created_by": "",
+        "updated_at": 0,
+        "updated_by": ""
+    },
+    {
+        "id": 0,
+        "uuid": 1717556327273861000,
+        "collector": "Exporter",
+        "typ": "AutoMQ",
+        "name": "每个实例的Produce请求速率",
+        "unit": "reqps",
+        "note": "",
+        "lang": "zh_CN",
+        "expression": "sum by(job, instance) (rate(kafka_request_count_total{type=\"Produce\"}[1m]))",
+        "created_at": 0,
+        "created_by": "",
+        "updated_at": 0,
+        "updated_by": ""
+    },
+    {
+        "id": 0,
+        "uuid": 1717556327276362000,
+        "collector": "Exporter",
+        "typ": "AutoMQ",
+        "name": "每个实例的节点当前建立的连接数",
+        "unit": "sishort",
+        "note": "",
+        "lang": "zh_CN",
+        "expression": "sum by(job, instance) (kafka_server_connection_count)",
+        "created_at": 0,
+        "created_by": "",
+        "updated_at": 0,
+        "updated_by": ""
+    },
+    {
+        "id": 0,
+        "uuid": 1717556327278608000,
+        "collector": "Exporter",
+        "typ": "AutoMQ",
+        "name": "活跃Broker数量",
+        "unit": "sishort",
+        "note": "",
+        "lang": "zh_CN",
+        "expression": "kafka_broker_active_count",
+        "created_at": 0,
+        "created_by": "",
+        "updated_at": 0,
+        "updated_by": ""
+    },
+    {
+        "id": 0,
+        "uuid": 1717556327280516000,
+        "collector": "Exporter",
+        "typ": "AutoMQ",
+        "name": "稳定状态的Consumer Group数量总和",
+        "unit": "sishort",
+        "note": "",
+        "lang": "zh_CN",
+        "expression": "sum by (job) (kafka_group_stable_count)",
+        "created_at": 0,
+        "created_by": "",
+        "updated_at": 0,
+        "updated_by": ""
+    },
+    {
+        "id": 0,
+        "uuid": 1717556327282783000,
+        "collector": "Exporter",
+        "typ": "AutoMQ",
+        "name": "空的Consumer Group数量总和",
+        "unit": "sishort",
+        "note": "",
+        "lang": "zh_CN",
+        "expression": "sum by (job) (kafka_group_empty_count)",
+        "created_at": 0,
+        "created_by": "",
+        "updated_at": 0,
+        "updated_by": ""
+    },
+    {
+        "id": 0,
+        "uuid": 1717556327284934000,
+        "collector": "Exporter",
+        "typ": "AutoMQ",
+        "name": "节点当前建立的连接数",
+        "unit": "sishort",
+        "note": "",
+        "lang": "zh_CN",
+        "expression": "kafka_server_connection_count",
+        "created_at": 0,
+        "created_by": "",
+        "updated_at": 0,
+        "updated_by": ""
+    },
+    {
+        "id": 0,
+        "uuid": 1717556327287401000,
+        "collector": "Exporter",
+        "typ": "AutoMQ",
+        "name": "被fence的Broker数量",
+        "unit": "sishort",
+        "note": "",
+        "lang": "zh_CN",
+        "expression": "kafka_broker_fenced_count",
+        "created_at": 0,
+        "created_by": "",
+        "updated_at": 0,
+        "updated_by": ""
+    },
+    {
+        "id": 0,
+        "uuid": 1717556327291657000,
+        "collector": "Exporter",
+        "typ": "AutoMQ",
+        "name": "请求错误计数总和",
+        "unit": "sishort",
+        "note": "",
+        "lang": "zh_CN",
+        "expression": "sum by (job) (rate(kafka_request_error_count_total[1m]))",
+        "created_at": 0,
+        "created_by": "",
+        "updated_at": 0,
+        "updated_by": ""
+    },
+    {
+        "id": 0,
+        "uuid": 1717556327295172000,
+        "collector": "Exporter",
+        "typ": "AutoMQ",
+        "name": "请求错误计数率",
+        "unit": "sishort",
+        "note": "",
+        "lang": "zh_CN",
+        "expression": "rate(kafka_request_error_count_total[1m])",
+        "created_at": 0,
+        "created_by": "",
+        "updated_at": 0,
+        "updated_by": ""
+    },
+    {
+        "id": 0,
+        "uuid": 1717556327297787000,
+        "collector": "Exporter",
+        "typ": "AutoMQ",
+        "name": "请求错误计数率（每个实例）",
+        "unit": "reqps",
+        "note": "",
+        "lang": "zh_CN",
+        "expression": "sum by(job, instance) (rate(kafka_request_error_count_total[1m]))",
+        "created_at": 0,
+        "created_by": "",
+        "updated_at": 0,
+        "updated_by": ""
+    },
+    {
+        "id": 0,
+        "uuid": 1717556327300342000,
+        "collector": "Exporter",
+        "typ": "AutoMQ",
+        "name": "集群Topic总数",
+        "unit": "sishort",
+        "note": "",
+        "lang": "zh_CN",
+        "expression": "kafka_topic_count",
+        "created_at": 0,
+        "created_by": "",
+        "updated_at": 0,
+        "updated_by": ""
+    },
+    {
+        "id": 0,
+        "uuid": 1717556327302857000,
+        "collector": "Exporter",
+        "typ": "AutoMQ",
+        "name": "集群分区总数",
+        "unit": "sishort",
+        "note": "",
+        "lang": "zh_CN",
+        "expression": "kafka_partition_total_count",
+        "created_at": 0,
+        "created_by": "",
+        "updated_at": 0,
+        "updated_by": ""
+    }
+]