code refactor

* feat: Callback operation adds IM connection function (#1984)

* refactor: change alert sub callback

---------

Co-authored-by: Yang Zhiyan <101268302+Yziyan@users.noreply.github.com>

.github/ISSUE_TEMPLATE/bug_report.yml

@@ -1,67 +0,0 @@
-name: Bug Report
-description: Report a bug encountered while running Nightingale
-labels: ["kind/bug"]
-
-body:
-  - type: markdown
-    attributes:
-      value: |
-        Thanks for taking time to fill out this bug report! 
-        The more detailed the form is filled in, the easier the problem will be solved.
-  - type: textarea
-    id: config
-    attributes:
-      label: Your config.toml
-      description: Place config in the toml code section. This will be automatically formatted into toml, so no need for backticks.
-      render: toml
-    validations:
-      required: true
-  - type: textarea
-    id: logs
-    attributes:
-      label: Relevant logs
-      description: categraf | telegraf | n9e | prometheus | chrome request/response ...
-      render: text
-    validations:
-      required: true
-  - type: input
-    id: system-info
-    attributes:
-      label: System info
-      description: Include nightingale version, operating system, and other relevant details
-      placeholder: ex. n9e 5.9.2, n9e-fe 5.5.0, categraf 0.1.0, Ubuntu 20.04, Docker 20.10.8
-    validations:
-      required: true
-  - type: textarea
-    id: reproduce
-    attributes:
-      label: Steps to reproduce
-      description: Describe the steps to reproduce the bug.
-      value: |
-        1.
-        2.
-        3.
-        ...
-    validations:
-      required: true
-  - type: textarea
-    id: expected-behavior
-    attributes:
-      label: Expected behavior
-      description: Describe what you expected to happen when you performed the above steps.
-    validations:
-      required: true
-  - type: textarea
-    id: actual-behavior
-    attributes:
-      label: Actual behavior
-      description: Describe what actually happened when you performed the above steps.
-    validations:
-      required: true
-  - type: textarea
-    id: additional-info
-    attributes:
-      label: Additional info
-      description: Include gist of relevant config, logs, etc.
-    validations:
-      required: false

.github/ISSUE_TEMPLATE/question.yml

@@ -0,0 +1,33 @@
+name: Bug Report & Usage Question
+description: Reporting a bug or asking a question about how to use Nightingale 
+labels: []
+
+body:
+  - type: markdown
+    attributes:
+      value: |
+        The more detailed the form is filled in, the easier the problem will be solved.
+        提供的信息越详细，问题解决的可能性就越大。另外, 提问之前请先搜索历史 issue (包括 close 的), 以免重复提问。
+  - type: textarea
+    id: question
+    attributes:
+      label: Question and Steps to reproduce
+      description: Describe your question and steps to reproduce the bug. 描述问题以及复现步骤
+    validations:
+      required: true
+  - type: textarea
+    id: logs
+    attributes:
+      label: Relevant logs and configurations
+      description: Relevant logs and configurations. 报错日志（[查看方法](https://flashcat.cloud/docs/content/flashcat-monitor/nightingale-v6/faq/how-to-check-logs/)）以及各个相关组件的配置信息
+      render: text
+    validations:
+      required: true
+  - type: textarea
+    id: system-info
+    attributes:
+      label: Version
+      description: Include nightingale version, operating system, and other relevant details. 请告知夜莺的版本、操作系统的版本、CPU架构等信息
+    validations:
+      required: true
+ 

.github/workflows/n9e.yml

@@ -26,7 +26,8 @@ jobs:
       - name: Run GoReleaser
         uses: goreleaser/goreleaser-action@v3
         with:
-          version: latest
+          distribution: goreleaser
+          version: '~> v1'
           args: release --rm-dist
         env:
           GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}

README.md

@@ -36,7 +36,7 @@
 
 ## 快速开始
 - 👉[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)
+- ❤️[报告 Bug](https://github.com/ccfos/nightingale/issues/new?assignees=&labels=&projects=&template=question.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
@@ -78,6 +78,17 @@
 
 ![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
+- [x] 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)
 - 推荐完整浏览[夜莺文档站点](https://flashcat.cloud/docs/content/flashcat-monitor/nightingale-v7/introduction/)，了解更多信息

alert/alert.go

@@ -53,7 +53,7 @@ func Initialize(configDir string, cryptoKey string) (func(), error) {
 	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)
@@ -106,7 +106,7 @@ func Start(alertc aconf.Alert, pushgwc pconf.Pushgw, syncStats *memsto.Stats, al
 		busiGroupCache, alertMuteCache, datasourceCache, promClients, tdendgineClients, naming, ctx, alertStats)
 
 	dp := dispatch.NewDispatch(alertRuleCache, userCache, userGroupCache, alertSubscribeCache, targetCache, notifyConfigCache, taskTplsCache, alertc.Alerting, ctx, alertStats)
-	consumer := dispatch.NewConsumer(alertc.Alerting, ctx, dp)
+	consumer := dispatch.NewConsumer(alertc.Alerting, ctx, dp, promClients)
 
 	go dp.ReloadTpls()
 	go consumer.LoopConsume()

alert/dispatch/consume.go

@@ -1,14 +1,19 @@
 package dispatch
 
 import (
+	"encoding/json"
 	"fmt"
+	"strings"
 	"time"
 
 	"github.com/ccfos/nightingale/v6/alert/aconf"
+	"github.com/ccfos/nightingale/v6/alert/common"
 	"github.com/ccfos/nightingale/v6/alert/queue"
 	"github.com/ccfos/nightingale/v6/models"
 	"github.com/ccfos/nightingale/v6/pkg/ctx"
 	"github.com/ccfos/nightingale/v6/pkg/poster"
+	promsdk "github.com/ccfos/nightingale/v6/pkg/prom"
+	"github.com/ccfos/nightingale/v6/prom"
 
 	"github.com/toolkits/pkg/concurrent/semaphore"
 	"github.com/toolkits/pkg/logger"
@@ -18,15 +23,17 @@ type Consumer struct {
 	alerting aconf.Alerting
 	ctx      *ctx.Context
 
-	dispatch *Dispatch
+	dispatch    *Dispatch
+	promClients *prom.PromClientMap
 }
 
 // 创建一个 Consumer 实例
-func NewConsumer(alerting aconf.Alerting, ctx *ctx.Context, dispatch *Dispatch) *Consumer {
+func NewConsumer(alerting aconf.Alerting, ctx *ctx.Context, dispatch *Dispatch, promClients *prom.PromClientMap) *Consumer {
 	return &Consumer{
-		alerting: alerting,
-		ctx:      ctx,
-		dispatch: dispatch,
+		alerting:    alerting,
+		ctx:         ctx,
+		dispatch:    dispatch,
+		promClients: promClients,
 	}
 }
 
@@ -73,17 +80,19 @@ func (e *Consumer) consumeOne(event *models.AlertCurEvent) {
 		event.RuleName = fmt.Sprintf("failed to parse rule name: %v", err)
 	}
 
-	if err := event.ParseRule("rule_note"); err != nil {
-		logger.Warningf("ruleid:%d failed to parse rule note: %v", event.RuleId, err)
-		event.RuleNote = fmt.Sprintf("failed to parse rule note: %v", err)
-	}
-
 	if err := event.ParseRule("annotations"); err != nil {
 		logger.Warningf("ruleid:%d failed to parse annotations: %v", event.RuleId, err)
 		event.Annotations = fmt.Sprintf("failed to parse annotations: %v", err)
 		event.AnnotationsJSON["error"] = event.Annotations
 	}
 
+	e.queryRecoveryVal(event)
+
+	if err := event.ParseRule("rule_note"); err != nil {
+		logger.Warningf("ruleid:%d failed to parse rule note: %v", event.RuleId, err)
+		event.RuleNote = fmt.Sprintf("failed to parse rule note: %v", err)
+	}
+
 	e.persist(event)
 
 	if event.IsRecovered && event.NotifyRecovered == 0 {
@@ -115,3 +124,68 @@ func (e *Consumer) persist(event *models.AlertCurEvent) {
 		e.dispatch.Astats.CounterRuleEvalErrorTotal.WithLabelValues(fmt.Sprintf("%v", event.DatasourceId), "persist_event").Inc()
 	}
 }
+
+func (e *Consumer) queryRecoveryVal(event *models.AlertCurEvent) {
+	if !event.IsRecovered {
+		return
+	}
+
+	// If the event is a recovery event, execute the recovery_promql query
+	promql, ok := event.AnnotationsJSON["recovery_promql"]
+	if !ok {
+		return
+	}
+
+	promql = strings.TrimSpace(promql)
+	if promql == "" {
+		logger.Warningf("rule_eval:%s promql is blank", getKey(event))
+		return
+	}
+
+	if e.promClients.IsNil(event.DatasourceId) {
+		logger.Warningf("rule_eval:%s error reader client is nil", getKey(event))
+		return
+	}
+
+	readerClient := e.promClients.GetCli(event.DatasourceId)
+
+	var warnings promsdk.Warnings
+	value, warnings, err := readerClient.Query(e.ctx.Ctx, promql, time.Now())
+	if err != nil {
+		logger.Errorf("rule_eval:%s promql:%s, error:%v", getKey(event), promql, err)
+		event.AnnotationsJSON["recovery_promql_error"] = fmt.Sprintf("promql:%s error:%v", promql, err)
+
+		b, err := json.Marshal(event.AnnotationsJSON)
+		if err != nil {
+			event.AnnotationsJSON = make(map[string]string)
+			event.AnnotationsJSON["error"] = fmt.Sprintf("failed to parse annotations: %v", err)
+		} else {
+			event.Annotations = string(b)
+		}
+		return
+	}
+
+	if len(warnings) > 0 {
+		logger.Errorf("rule_eval:%s promql:%s, warnings:%v", getKey(event), promql, warnings)
+	}
+
+	anomalyPoints := common.ConvertAnomalyPoints(value)
+	if len(anomalyPoints) == 0 {
+		logger.Warningf("rule_eval:%s promql:%s, result is empty", getKey(event), promql)
+		event.AnnotationsJSON["recovery_promql_error"] = fmt.Sprintf("promql:%s error:%s", promql, "result is empty")
+	} else {
+		event.AnnotationsJSON["recovery_value"] = fmt.Sprintf("%v", anomalyPoints[0].Value)
+	}
+
+	b, err := json.Marshal(event.AnnotationsJSON)
+	if err != nil {
+		event.AnnotationsJSON = make(map[string]string)
+		event.AnnotationsJSON["error"] = fmt.Sprintf("failed to parse annotations: %v", err)
+	} else {
+		event.Annotations = string(b)
+	}
+}
+
+func getKey(event *models.AlertCurEvent) string {
+	return common.RuleKey(event.DatasourceId, event.RuleId)
+}

alert/dispatch/dispatch.go

@@ -4,7 +4,9 @@ import (
 	"bytes"
 	"encoding/json"
 	"html/template"
+	"net/url"
 	"strconv"
+	"strings"
 	"sync"
 	"time"
 
@@ -31,6 +33,7 @@ type Dispatch struct {
 	alerting aconf.Alerting
 
 	Senders          map[string]sender.Sender
+	CallBacks        map[string]sender.CallBacker
 	tpls             map[string]*template.Template
 	ExtraSenders     map[string]sender.Sender
 	BeforeSenderHook func(*models.AlertCurEvent) bool
@@ -99,6 +102,17 @@ func (e *Dispatch) relaodTpls() error {
 		models.FeishuCard: sender.NewSender(models.FeishuCard, tmpTpls),
 	}
 
+	// domain -> Callback()
+	callbacks := map[string]sender.CallBacker{
+		models.DingtalkDomain:   sender.NewCallBacker(models.DingtalkDomain, e.targetCache, e.userCache, e.taskTplsCache, tmpTpls),
+		models.WecomDomain:      sender.NewCallBacker(models.WecomDomain, e.targetCache, e.userCache, e.taskTplsCache, tmpTpls),
+		models.FeishuDomain:     sender.NewCallBacker(models.FeishuDomain, e.targetCache, e.userCache, e.taskTplsCache, tmpTpls),
+		models.TelegramDomain:   sender.NewCallBacker(models.TelegramDomain, e.targetCache, e.userCache, e.taskTplsCache, tmpTpls),
+		models.FeishuCardDomain: sender.NewCallBacker(models.FeishuCardDomain, e.targetCache, e.userCache, e.taskTplsCache, tmpTpls),
+		models.IbexDomain:       sender.NewCallBacker(models.IbexDomain, e.targetCache, e.userCache, e.taskTplsCache, tmpTpls),
+		models.DefaultDomain:    sender.NewCallBacker(models.DefaultDomain, e.targetCache, e.userCache, e.taskTplsCache, tmpTpls),
+	}
+
 	e.RwLock.RLock()
 	for channelName, extraSender := range e.ExtraSenders {
 		senders[channelName] = extraSender
@@ -108,6 +122,7 @@ func (e *Dispatch) relaodTpls() error {
 	e.RwLock.Lock()
 	e.tpls = tmpTpls
 	e.Senders = senders
+	e.CallBacks = callbacks
 	e.RwLock.Unlock()
 	return nil
 }
@@ -243,7 +258,7 @@ 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.taskTplsCache, e.Astats)
+	e.SendCallbacks(rule, notifyTarget, event)
 
 	// handle global webhooks
 	sender.SendWebhooks(notifyTarget.ToWebhookList(), event, e.Astats)
@@ -252,6 +267,47 @@ func (e *Dispatch) Send(rule *models.AlertRule, event *models.AlertCurEvent, not
 	go sender.MayPluginNotify(e.genNoticeBytes(event), e.notifyConfigCache.GetNotifyScript(), e.Astats)
 }
 
+func (e *Dispatch) SendCallbacks(rule *models.AlertRule, notifyTarget *NotifyTarget, event *models.AlertCurEvent) {
+
+	uids := notifyTarget.ToUidList()
+	urls := notifyTarget.ToCallbackList()
+	for _, urlStr := range urls {
+		if len(urlStr) == 0 {
+			continue
+		}
+
+		cbCtx := sender.BuildCallBackContext(e.ctx, urlStr, rule, []*models.AlertCurEvent{event}, uids, e.userCache, e.Astats)
+
+		if strings.HasPrefix(urlStr, "${ibex}") {
+			e.CallBacks[models.IbexDomain].CallBack(cbCtx)
+			continue
+		}
+
+		if !(strings.HasPrefix(urlStr, "http://") || strings.HasPrefix(urlStr, "https://")) {
+			cbCtx.CallBackURL = "http://" + urlStr
+		}
+
+		parsedURL, err := url.Parse(urlStr)
+		if err != nil {
+			logger.Errorf("SendCallbacks: failed to url.Parse(urlStr=%s): %v", urlStr, err)
+			continue
+		}
+
+		// process feishu card
+		if parsedURL.Host == models.FeishuDomain && parsedURL.Query().Get("card") == "1" {
+			e.CallBacks[models.FeishuCardDomain].CallBack(cbCtx)
+			continue
+		}
+
+		callBacker, ok := e.CallBacks[parsedURL.Host]
+		if ok {
+			callBacker.CallBack(cbCtx)
+		} else {
+			e.CallBacks[models.DefaultDomain].CallBack(cbCtx)
+		}
+	}
+}
+
 type Notice struct {
 	Event *models.AlertCurEvent `json:"event"`
 	Tpls  map[string]string     `json:"tpls"`

alert/dispatch/notify_target.go

@@ -84,6 +84,14 @@ func (s *NotifyTarget) ToWebhookList() []*models.Webhook {
 	return webhooks
 }
 
+func (s *NotifyTarget) ToUidList() []int64 {
+	uids := make([]int64, len(s.userMap))
+	for uid, _ := range s.userMap {
+		uids = append(uids, uid)
+	}
+	return uids
+}
+
 // Dispatch 抽象由告警事件到信息接收者的路由策略
 // rule: 告警规则
 // event: 告警事件

alert/eval/eval.go

@@ -219,7 +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)
@@ -346,7 +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)
@@ -384,7 +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
@@ -398,6 +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)
@@ -432,7 +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/heartbeat.go

@@ -79,48 +79,25 @@ func (n *Naming) loopHeartbeat() {
 
 func (n *Naming) heartbeat() error {
 	var datasourceIds []int64
-	var myDatasourceIds []int64
 	var err error
 
-	// 如果是中心机房的 leader 机器，沟通全量的数据源的 hash ring，给智能告警模块使用
-
-	if n.IamLeader() {
-		datasources, err := models.GetDatasources(n.ctx)
-		if err != nil {
-			logger.Warningf("get datasources err:%v", err)
-			return err
-		}
-		for i := 0; i < len(datasources); i++ {
-			datasourceIds = append(datasourceIds, datasources[i].Id)
-		}
-
-		myDatasourceIds, err = models.GetDatasourceIdsByEngineName(n.ctx, n.heartbeatConfig.EngineName)
-		if err != nil {
-			logger.Warningf("get datasource ids by engine name err:%v", err)
-			return err
-		}
-	} else {
-		// 在页面上维护实例和集群的对应关系
-		datasourceIds, err = models.GetDatasourceIdsByEngineName(n.ctx, n.heartbeatConfig.EngineName)
-		if err != nil {
-			return err
-		}
-
-		myDatasourceIds = datasourceIds
+	// 在页面上维护实例和集群的对应关系
+	datasourceIds, err = models.GetDatasourceIdsByEngineName(n.ctx, n.heartbeatConfig.EngineName)
+	if err != nil {
+		return err
 	}
 
-	// 上报心跳
-	if len(myDatasourceIds) == 0 {
+	if len(datasourceIds) == 0 {
 		err := models.AlertingEngineHeartbeatWithCluster(n.ctx, n.heartbeatConfig.Endpoint, n.heartbeatConfig.EngineName, 0)
 		if err != nil {
 			logger.Warningf("heartbeat with cluster %s err:%v", "", err)
 			n.astats.CounterHeartbeatErrorTotal.WithLabelValues().Inc()
 		}
 	} else {
-		for i := 0; i < len(myDatasourceIds); i++ {
-			err := models.AlertingEngineHeartbeatWithCluster(n.ctx, n.heartbeatConfig.Endpoint, n.heartbeatConfig.EngineName, myDatasourceIds[i])
+		for i := 0; i < len(datasourceIds); i++ {
+			err := models.AlertingEngineHeartbeatWithCluster(n.ctx, n.heartbeatConfig.Endpoint, n.heartbeatConfig.EngineName, datasourceIds[i])
 			if err != nil {
-				logger.Warningf("heartbeat with cluster %d err:%v", myDatasourceIds[i], err)
+				logger.Warningf("heartbeat with cluster %d err:%v", datasourceIds[i], err)
 				n.astats.CounterHeartbeatErrorTotal.WithLabelValues().Inc()
 			}
 		}

alert/sender/callback.go

@@ -1,9 +1,8 @@
 package sender
 
 import (
-	"encoding/json"
-	"fmt"
-	"strconv"
+	"html/template"
+	"net/url"
 	"strings"
 	"time"
 
@@ -13,37 +12,122 @@ import (
 	"github.com/ccfos/nightingale/v6/pkg/ctx"
 	"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,
-	taskTplCache *memsto.TaskTplCache, stats *astats.Stats) {
-	for _, url := range urls {
-		if url == "" {
-			continue
-		}
+type (
+	// CallBacker 进行回调的接口
+	CallBacker interface {
+		CallBack(ctx CallBackContext)
+	}
 
-		if strings.HasPrefix(url, "${ibex}") {
-			if !event.IsRecovered {
-				handleIbex(ctx, url, event, targetCache, userCache, taskTplCache)
-			}
-			continue
-		}
+	// CallBackContext 回调时所需的上下文
+	CallBackContext struct {
+		Ctx         *ctx.Context
+		CallBackURL string
+		Users       []*models.User
+		Rule        *models.AlertRule
+		Events      []*models.AlertCurEvent
+		Stats       *astats.Stats
+	}
 
-		if !(strings.HasPrefix(url, "http://") || strings.HasPrefix(url, "https://")) {
-			url = "http://" + url
-		}
+	DefaultCallBacker struct{}
+)
 
-		stats.AlertNotifyTotal.WithLabelValues("rule_callback").Inc()
-		resp, code, err := poster.PostJSON(url, 5*time.Second, event, 3)
-		if err != nil {
-			logger.Errorf("event_callback_fail(rule_id=%d url=%s), resp: %s, err: %v, code: %d", event.RuleId, url, string(resp), err, code)
-			stats.AlertNotifyErrorTotal.WithLabelValues("rule_callback").Inc()
-		} else {
-			logger.Infof("event_callback_succ(rule_id=%d url=%s), resp: %s, code: %d", event.RuleId, url, string(resp), code)
+func BuildCallBackContext(ctx *ctx.Context, callBackURL string, rule *models.AlertRule, events []*models.AlertCurEvent,
+	uids []int64, userCache *memsto.UserCacheType, stats *astats.Stats) CallBackContext {
+	users := userCache.GetByUserIds(uids)
+
+	return CallBackContext{
+		Ctx:         ctx,
+		CallBackURL: callBackURL,
+		Rule:        rule,
+		Events:      events,
+		Users:       users,
+		Stats:       stats,
+	}
+}
+
+func ExtractAtsParams(rawURL string) []string {
+	ans := make([]string, 0, 1)
+	parsedURL, err := url.Parse(rawURL)
+	if err != nil {
+		logger.Errorf("ExtractAtsParams(url=%s), err: %v", rawURL, err)
+		return ans
+	}
+
+	queryParams := parsedURL.Query()
+	atParam := queryParams.Get("ats")
+	if atParam == "" {
+		return ans
+	}
+
+	// Split the atParam by comma and return the result as a slice
+	return strings.Split(atParam, ",")
+}
+
+func NewCallBacker(
+	key string,
+	targetCache *memsto.TargetCacheType,
+	userCache *memsto.UserCacheType,
+	taskTplCache *memsto.TaskTplCache,
+	tpls map[string]*template.Template,
+) CallBacker {
+
+	switch key {
+	case models.IbexDomain: // Distribute to Ibex
+		return &IbexCallBacker{
+			targetCache:  targetCache,
+			userCache:    userCache,
+			taskTplCache: taskTplCache,
 		}
+	case models.DefaultDomain: // default callback
+		return &DefaultCallBacker{}
+	case models.DingtalkDomain:
+		return &DingtalkSender{tpl: tpls[models.Dingtalk]}
+	case models.WecomDomain:
+		return &WecomSender{tpl: tpls[models.Wecom]}
+	case models.FeishuDomain:
+		return &FeishuSender{tpl: tpls[models.Feishu]}
+	case models.FeishuCardDomain:
+		return &FeishuCardSender{tpl: tpls[models.FeishuCard]}
+	//case models.Mm:
+	//	return &MmSender{tpl: tpls[models.Mm]}
+	case models.TelegramDomain:
+		return &TelegramSender{tpl: tpls[models.Telegram]}
+	}
+
+	return nil
+}
+
+func (c *DefaultCallBacker) CallBack(ctx CallBackContext) {
+	if len(ctx.CallBackURL) == 0 || len(ctx.Events) == 0 {
+		return
+	}
+
+	event := ctx.Events[0]
+
+	ctx.Stats.AlertNotifyTotal.WithLabelValues("rule_callback").Inc()
+	resp, code, err := poster.PostJSON(ctx.CallBackURL, 5*time.Second, event, 3)
+	if err != nil {
+		logger.Errorf("event_callback_fail(rule_id=%d url=%s), resp: %s, err: %v, code: %d",
+			event.RuleId, ctx.CallBackURL, string(resp), err, code)
+		ctx.Stats.AlertNotifyErrorTotal.WithLabelValues("rule_callback").Inc()
+	} else {
+		logger.Infof("event_callback_succ(rule_id=%d url=%s), resp: %s, code: %d",
+			event.RuleId, ctx.CallBackURL, string(resp), code)
+	}
+}
+
+func doSend(url string, body interface{}, channel string, stats *astats.Stats) {
+	stats.AlertNotifyTotal.WithLabelValues(channel).Inc()
+
+	res, code, err := poster.PostJSON(url, time.Second*5, body, 3)
+	if err != nil {
+		logger.Errorf("%s_sender: result=fail url=%s code=%d error=%v req:%v response=%s", channel, url, code, err, body, string(res))
+		stats.AlertNotifyErrorTotal.WithLabelValues(channel).Inc()
+	} else {
+		logger.Infof("%s_sender: result=succ url=%s code=%d req:%v response=%s", channel, url, code, body, string(res))
 	}
 }
 
@@ -51,226 +135,3 @@ 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,
-	taskTplCache *memsto.TaskTplCache) {
-	if imodels.DB() == nil {
-		logger.Warning("event_callback_ibex: db is nil")
-		return
-	}
-
-	arr := strings.Split(url, "/")
-
-	var idstr string
-	var host string
-
-	if len(arr) > 1 {
-		idstr = arr[1]
-	}
-
-	if len(arr) > 2 {
-		host = arr[2]
-	}
-
-	id, err := strconv.ParseInt(idstr, 10, 64)
-	if err != nil {
-		logger.Errorf("event_callback_ibex: failed to parse url: %s", url)
-		return
-	}
-
-	if host == "" {
-		// 用户在callback url中没有传入host，就从event中解析
-		host = event.TargetIdent
-	}
-
-	if host == "" {
-		logger.Error("event_callback_ibex: failed to get host")
-		return
-	}
-
-	tpl := taskTplCache.Get(id)
-	if tpl == nil {
-		logger.Errorf("event_callback_ibex: no such tpl(%d)", id)
-		return
-	}
-
-	// check perm
-	// tpl.GroupId - host - account 三元组校验权限
-	can, err := canDoIbex(tpl.UpdateBy, tpl, host, targetCache, userCache)
-	if err != nil {
-		logger.Errorf("event_callback_ibex: check perm fail: %v", err)
-		return
-	}
-
-	if !can {
-		logger.Errorf("event_callback_ibex: user(%s) no permission", tpl.UpdateBy)
-		return
-	}
-
-	tagsMap := make(map[string]string)
-	for i := 0; i < len(event.TagsJSON); i++ {
-		pair := strings.TrimSpace(event.TagsJSON[i])
-		if pair == "" {
-			continue
-		}
-
-		arr := strings.Split(pair, "=")
-		if len(arr) != 2 {
-			continue
-		}
-
-		tagsMap[arr[0]] = arr[1]
-	}
-	// 附加告警级别  告警触发值标签
-	tagsMap["alert_severity"] = strconv.Itoa(event.Severity)
-	tagsMap["alert_trigger_value"] = event.TriggerValue
-
-	tags, err := json.Marshal(tagsMap)
-	if err != nil {
-		logger.Errorf("event_callback_ibex: failed to marshal tags to json: %v", tagsMap)
-		return
-	}
-
-	// call ibex
-	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,
-	}
-
-	id, err = TaskAdd(in, tpl.UpdateBy, ctx.IsCenter)
-	if err != nil {
-		logger.Errorf("event_callback_ibex: call ibex fail: %v", err)
-		return
-	}
-
-	// write db
-	record := models.TaskRecord{
-		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 {
-		logger.Errorf("event_callback_ibex: persist task_record fail: %v", err)
-	}
-}
-
-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
-	}
-
-	target, has := targetCache.Get(host)
-	if !has {
-		return false, nil
-	}
-
-	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/dingtalk.go

@@ -1,15 +1,9 @@
 package sender
 
 import (
+	"github.com/ccfos/nightingale/v6/models"
 	"html/template"
 	"strings"
-	"time"
-
-	"github.com/ccfos/nightingale/v6/alert/astats"
-	"github.com/ccfos/nightingale/v6/models"
-	"github.com/ccfos/nightingale/v6/pkg/poster"
-
-	"github.com/toolkits/pkg/logger"
 )
 
 type dingtalkMarkdown struct {
@@ -28,6 +22,10 @@ type dingtalk struct {
 	At       dingtalkAt       `json:"at"`
 }
 
+var (
+	_ CallBacker = (*DingtalkSender)(nil)
+)
+
 type DingtalkSender struct {
 	tpl *template.Template
 }
@@ -72,6 +70,37 @@ func (ds *DingtalkSender) Send(ctx MessageContext) {
 	}
 }
 
+func (ds *DingtalkSender) CallBack(ctx CallBackContext) {
+	if len(ctx.Events) == 0 || len(ctx.CallBackURL) == 0 {
+		return
+	}
+
+	body := dingtalk{
+		Msgtype: "markdown",
+		Markdown: dingtalkMarkdown{
+			Title: ctx.Events[0].RuleName,
+		},
+	}
+
+	ats := ExtractAtsParams(ctx.CallBackURL)
+	message := BuildTplMessage(models.Dingtalk, ds.tpl, ctx.Events)
+
+	if len(ats) > 0 {
+		body.Markdown.Text = message + "\n@" + strings.Join(ats, "@")
+		body.At = dingtalkAt{
+			AtMobiles: ats,
+			IsAtAll:   false,
+		}
+	} else {
+		// NoAt in url
+		body.Markdown.Text = message
+	}
+
+	doSend(ctx.CallBackURL, body, models.Dingtalk, ctx.Stats)
+
+	ctx.Stats.AlertNotifyTotal.WithLabelValues("rule_callback").Inc()
+}
+
 // extract urls and ats from Users
 func (ds *DingtalkSender) extract(users []*models.User) ([]string, []string) {
 	urls := make([]string, 0, len(users))
@@ -91,15 +120,3 @@ func (ds *DingtalkSender) extract(users []*models.User) ([]string, []string) {
 	}
 	return urls, ats
 }
-
-func doSend(url string, body interface{}, channel string, stats *astats.Stats) {
-	stats.AlertNotifyTotal.WithLabelValues(channel).Inc()
-
-	res, code, err := poster.PostJSON(url, time.Second*5, body, 3)
-	if err != nil {
-		logger.Errorf("%s_sender: result=fail url=%s code=%d error=%v req:%v response=%s", channel, url, code, err, body, string(res))
-		stats.AlertNotifyErrorTotal.WithLabelValues(channel).Inc()
-	} else {
-		logger.Infof("%s_sender: result=succ url=%s code=%d req:%v response=%s", channel, url, code, body, string(res))
-	}
-}

alert/sender/feishu.go

@@ -1,6 +1,7 @@
 package sender
 
 import (
+	"fmt"
 	"html/template"
 	"strings"
 
@@ -22,10 +23,41 @@ type feishu struct {
 	At      feishuAt      `json:"at"`
 }
 
+var (
+	_ CallBacker = (*FeishuSender)(nil)
+)
+
 type FeishuSender struct {
 	tpl *template.Template
 }
 
+func (fs *FeishuSender) CallBack(ctx CallBackContext) {
+	if len(ctx.Events) == 0 || len(ctx.CallBackURL) == 0 {
+		return
+	}
+
+	ats := ExtractAtsParams(ctx.CallBackURL)
+	message := BuildTplMessage(models.Feishu, fs.tpl, ctx.Events)
+
+	if len(ats) > 0 {
+		atTags := ""
+		for _, at := range ats {
+			atTags += fmt.Sprintf("<at user_id=\"%s\"></at> ", at)
+		}
+		message = atTags + message
+	}
+
+	body := feishu{
+		Msgtype: "text",
+		Content: feishuContent{
+			Text: message,
+		},
+	}
+
+	doSend(ctx.CallBackURL, body, models.Feishu, ctx.Stats)
+	ctx.Stats.AlertNotifyTotal.WithLabelValues("rule_callback").Inc()
+}
+
 func (fs *FeishuSender) Send(ctx MessageContext) {
 	if len(ctx.Users) == 0 || len(ctx.Events) == 0 {
 		return

alert/sender/feishucard.go

@@ -3,6 +3,7 @@ package sender
 import (
 	"fmt"
 	"html/template"
+	"net/url"
 	"strings"
 
 	"github.com/ccfos/nightingale/v6/models"
@@ -91,6 +92,37 @@ var (
 	}
 )
 
+func (fs *FeishuCardSender) CallBack(ctx CallBackContext) {
+	if len(ctx.Events) == 0 || len(ctx.CallBackURL) == 0 {
+		return
+	}
+
+	message := BuildTplMessage(models.FeishuCard, fs.tpl, ctx.Events)
+	color := "red"
+	lowerUnicode := strings.ToLower(message)
+	if strings.Count(lowerUnicode, Recovered) > 0 && strings.Count(lowerUnicode, Triggered) > 0 {
+		color = "orange"
+	} else if strings.Count(lowerUnicode, Recovered) > 0 {
+		color = "green"
+	}
+
+	SendTitle := fmt.Sprintf("🔔 %s", ctx.Events[0].RuleName)
+	body.Card.Header.Title.Content = SendTitle
+	body.Card.Header.Template = color
+	body.Card.Elements[0].Text.Content = message
+	body.Card.Elements[2].Elements[0].Content = SendTitle
+
+	// This is to be compatible with the feishucard interface, if with query string parameters, the request will fail
+	// Remove query parameters from the URL,
+	parsedURL, err := url.Parse(ctx.CallBackURL)
+	if err != nil {
+		return
+	}
+	parsedURL.RawQuery = ""
+
+	doSend(parsedURL.String(), body, models.FeishuCard, ctx.Stats)
+}
+
 func (fs *FeishuCardSender) Send(ctx MessageContext) {
 	if len(ctx.Users) == 0 || len(ctx.Events) == 0 {
 		return

alert/sender/ibex.go

@@ -0,0 +1,265 @@
+// @Author: Ciusyan 6/5/24
+
+package sender
+
+import (
+	"encoding/json"
+	"fmt"
+	"strconv"
+	"strings"
+	"time"
+
+	"github.com/ccfos/nightingale/v6/memsto"
+	"github.com/ccfos/nightingale/v6/models"
+	"github.com/ccfos/nightingale/v6/pkg/ctx"
+	imodels "github.com/flashcatcloud/ibex/src/models"
+	"github.com/flashcatcloud/ibex/src/storage"
+
+	"github.com/toolkits/pkg/logger"
+)
+
+var (
+	_ CallBacker = (*IbexCallBacker)(nil)
+)
+
+type IbexCallBacker struct {
+	targetCache  *memsto.TargetCacheType
+	userCache    *memsto.UserCacheType
+	taskTplCache *memsto.TaskTplCache
+}
+
+func (c *IbexCallBacker) CallBack(ctx CallBackContext) {
+	if len(ctx.CallBackURL) == 0 || len(ctx.Events) == 0 {
+		return
+	}
+
+	event := ctx.Events[0]
+
+	if event.IsRecovered {
+		return
+	}
+
+	c.handleIbex(ctx.Ctx, ctx.CallBackURL, event)
+}
+
+func (c *IbexCallBacker) handleIbex(ctx *ctx.Context, url string, event *models.AlertCurEvent) {
+	if imodels.DB() == nil && ctx.IsCenter {
+		logger.Warning("event_callback_ibex: db is nil")
+		return
+	}
+
+	arr := strings.Split(url, "/")
+
+	var idstr string
+	var host string
+
+	if len(arr) > 1 {
+		idstr = arr[1]
+	}
+
+	if len(arr) > 2 {
+		host = arr[2]
+	}
+
+	id, err := strconv.ParseInt(idstr, 10, 64)
+	if err != nil {
+		logger.Errorf("event_callback_ibex: failed to parse url: %s", url)
+		return
+	}
+
+	if host == "" {
+		// 用户在callback url中没有传入host，就从event中解析
+		host = event.TargetIdent
+	}
+
+	if host == "" {
+		logger.Error("event_callback_ibex: failed to get host")
+		return
+	}
+
+	tpl := c.taskTplCache.Get(id)
+	if tpl == nil {
+		logger.Errorf("event_callback_ibex: no such tpl(%d)", id)
+		return
+	}
+
+	// check perm
+	// tpl.GroupId - host - account 三元组校验权限
+	can, err := canDoIbex(tpl.UpdateBy, tpl, host, c.targetCache, c.userCache)
+	if err != nil {
+		logger.Errorf("event_callback_ibex: check perm fail: %v", err)
+		return
+	}
+
+	if !can {
+		logger.Errorf("event_callback_ibex: user(%s) no permission", tpl.UpdateBy)
+		return
+	}
+
+	tagsMap := make(map[string]string)
+	for i := 0; i < len(event.TagsJSON); i++ {
+		pair := strings.TrimSpace(event.TagsJSON[i])
+		if pair == "" {
+			continue
+		}
+
+		arr := strings.Split(pair, "=")
+		if len(arr) != 2 {
+			continue
+		}
+
+		tagsMap[arr[0]] = arr[1]
+	}
+	// 附加告警级别  告警触发值标签
+	tagsMap["alert_severity"] = strconv.Itoa(event.Severity)
+	tagsMap["alert_trigger_value"] = event.TriggerValue
+
+	tags, err := json.Marshal(tagsMap)
+	if err != nil {
+		logger.Errorf("event_callback_ibex: failed to marshal tags to json: %v", tagsMap)
+		return
+	}
+
+	// call ibex
+	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,
+	}
+
+	id, err = TaskAdd(in, tpl.UpdateBy, ctx.IsCenter)
+	if err != nil {
+		logger.Errorf("event_callback_ibex: call ibex fail: %v", err)
+		return
+	}
+
+	// write db
+	record := models.TaskRecord{
+		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 {
+		logger.Errorf("event_callback_ibex: persist task_record fail: %v", err)
+	}
+}
+
+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
+	}
+
+	target, has := targetCache.Get(host)
+	if !has {
+		return false, nil
+	}
+
+	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/mm.go

@@ -45,6 +45,21 @@ func (ms *MmSender) Send(ctx MessageContext) {
 	})
 }
 
+func (ms *MmSender) CallBack(ctx CallBackContext) {
+	if len(ctx.Events) == 0 || len(ctx.CallBackURL) == 0 {
+		return
+	}
+	message := BuildTplMessage(models.Mm, ms.tpl, ctx.Events)
+
+	SendMM(MatterMostMessage{
+		Text:   message,
+		Tokens: []string{ctx.CallBackURL},
+		Stats:  ctx.Stats,
+	})
+
+	ctx.Stats.AlertNotifyTotal.WithLabelValues("rule_callback").Inc()
+}
+
 func (ms *MmSender) extract(users []*models.User) []string {
 	tokens := make([]string, 0, len(users))
 	for _, user := range users {

alert/sender/telegram.go

@@ -21,10 +21,29 @@ type telegram struct {
 	Text      string `json:"text"`
 }
 
+var (
+	_ CallBacker = (*TelegramSender)(nil)
+)
+
 type TelegramSender struct {
 	tpl *template.Template
 }
 
+func (ts *TelegramSender) CallBack(ctx CallBackContext) {
+	if len(ctx.Events) == 0 || len(ctx.CallBackURL) == 0 {
+		return
+	}
+
+	message := BuildTplMessage(models.Telegram, ts.tpl, ctx.Events)
+	SendTelegram(TelegramMessage{
+		Text:   message,
+		Tokens: []string{ctx.CallBackURL},
+		Stats:  ctx.Stats,
+	})
+
+	ctx.Stats.AlertNotifyTotal.WithLabelValues("rule_callback").Inc()
+}
+
 func (ts *TelegramSender) Send(ctx MessageContext) {
 	if len(ctx.Users) == 0 || len(ctx.Events) == 0 {
 		return

alert/sender/wecom.go

@@ -16,10 +16,31 @@ type wecom struct {
 	Markdown wecomMarkdown `json:"markdown"`
 }
 
+var (
+	_ CallBacker = (*WecomSender)(nil)
+)
+
 type WecomSender struct {
 	tpl *template.Template
 }
 
+func (ws *WecomSender) CallBack(ctx CallBackContext) {
+	if len(ctx.Events) == 0 || len(ctx.CallBackURL) == 0 {
+		return
+	}
+
+	message := BuildTplMessage(models.Wecom, ws.tpl, ctx.Events)
+	body := wecom{
+		Msgtype: "markdown",
+		Markdown: wecomMarkdown{
+			Content: message,
+		},
+	}
+
+	doSend(ctx.CallBackURL, body, models.Wecom, ctx.Stats)
+	ctx.Stats.AlertNotifyTotal.WithLabelValues("rule_callback").Inc()
+}
+
 func (ws *WecomSender) Send(ctx MessageContext) {
 	if len(ctx.Users) == 0 || len(ctx.Events) == 0 {
 		return

center/cconf/conf.go

@@ -12,6 +12,7 @@ type Center struct {
 	AnonymousAccess        AnonymousAccess
 	UseFileAssets          bool
 	FlashDuty              FlashDuty
+	EventHistoryGroupView  bool
 }
 
 type Plugin struct {

center/cconf/ops.go

@@ -76,7 +76,8 @@ ops:
     - "/dashboards/add"
     - "/dashboards/put"
     - "/dashboards/del"
-    - "/dashboards-built-in"
+    - "/embedded-dashboards/put"
+    - "/embedded-dashboards"
 
 - name: alert
   cname: 告警规则
@@ -85,7 +86,7 @@ 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:
@@ -180,6 +181,14 @@ ops:
     - "/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

@@ -64,6 +64,8 @@ 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

center/integration/init.go

@@ -4,15 +4,17 @@ 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/ginx"
 	"github.com/toolkits/pkg/logger"
 	"github.com/toolkits/pkg/runner"
 )
 
+const SYSTEM = "system"
+
 func Init(ctx *ctx.Context, builtinIntegrationsDir string) {
 	fp := builtinIntegrationsDir
 	if fp == "" {
@@ -21,7 +23,10 @@ func Init(ctx *ctx.Context, builtinIntegrationsDir string) {
 
 	// var fileList []string
 	dirList, err := file.DirsUnder(fp)
-	ginx.Dangerous(err)
+	if err != nil {
+		logger.Warning("read builtin component dir fail ", err)
+		return
+	}
 
 	for _, dir := range dirList {
 		// components icon
@@ -45,7 +50,8 @@ func Init(ctx *ctx.Context, builtinIntegrationsDir string) {
 			var readmeFile string
 			for _, file := range files {
 				if strings.HasSuffix(strings.ToLower(file), "md") {
-					readmeFile = file
+					readmeFile = componentDir + "/markdown/" + file
+					break
 				}
 			}
 			if readmeFile != "" {
@@ -57,11 +63,47 @@ func Init(ctx *ctx.Context, builtinIntegrationsDir string) {
 
 		exists, _ := models.BuiltinComponentExists(ctx, &component)
 		if !exists {
-			err = component.Add(ctx, "system")
+			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
@@ -82,7 +124,15 @@ func Init(ctx *ctx.Context, builtinIntegrationsDir string) {
 					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)
@@ -95,25 +145,49 @@ func Init(ctx *ctx.Context, builtinIntegrationsDir string) {
 						Type:      "alert",
 						Cate:      cate,
 						Name:      alert.Name,
+						Tags:      alert.AppendTags,
 						Content:   string(content),
+						UUID:      alert.UUID,
 					}
 
-					exists, err := models.BuiltinPayloadExists(ctx, &builtinAlert)
+					old, err := models.BuiltinPayloadGet(ctx, "uuid = ?", alert.UUID)
 					if err != nil {
-						logger.Warning("check builtin alert exists fail ", builtinAlert, err)
+						logger.Warning("get builtin alert fail ", builtinAlert, err)
 						continue
 					}
 
-					if exists {
+					if old == nil {
+						err := builtinAlert.Add(ctx, SYSTEM)
+						if err != nil {
+							logger.Warning("add builtin alert fail ", builtinAlert, err)
+						}
 						continue
 					}
 
-					err = builtinAlert.Add(ctx, "system")
-					if err != nil {
-						logger.Warningf("add builtin alert:%+v fail %v", 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)
+					}
+				}
+
 			}
 		}
 
@@ -135,6 +209,21 @@ func Init(ctx *ctx.Context, builtinIntegrationsDir string) {
 					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)
@@ -146,23 +235,33 @@ func Init(ctx *ctx.Context, builtinIntegrationsDir string) {
 					Type:      "dashboard",
 					Cate:      "",
 					Name:      dashboard.Name,
+					Tags:      dashboard.Tags,
 					Content:   string(content),
+					UUID:      dashboard.UUID,
 				}
 
-				exists, err := models.BuiltinPayloadExists(ctx, &builtinDashboard)
+				old, err := models.BuiltinPayloadGet(ctx, "uuid = ?", dashboard.UUID)
 				if err != nil {
-					logger.Warning("check builtin dashboard exists fail ", builtinDashboard, err)
+					logger.Warning("get builtin alert fail ", builtinDashboard, err)
 					continue
 				}
 
-				if exists {
+				if old == nil {
+					err := builtinDashboard.Add(ctx, SYSTEM)
+					if err != nil {
+						logger.Warning("add builtin alert fail ", builtinDashboard, err)
+					}
 					continue
 				}
 
-				err = builtinDashboard.Add(ctx, "system")
-				if err != nil {
-					logger.Warning("add builtin dashboard 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 {
@@ -181,27 +280,64 @@ func Init(ctx *ctx.Context, builtinIntegrationsDir string) {
 				}
 
 				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 {
-					exists, err := models.BuiltinMetricExists(ctx, &metric)
+					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("check builtin metric exists fail", metric, err)
+						logger.Warning("get builtin metrics fail ", metric, err)
 						continue
 					}
-					if exists {
+
+					if old == nil {
+						err := metric.Add(ctx, SYSTEM)
+						if err != nil {
+							logger.Warning("add builtin metrics fail ", metric, err)
+						}
 						continue
 					}
-					err = metric.Add(ctx, "system")
-					if err != nil {
-						logger.Warning("add builtin metric 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)
@@ -225,4 +361,5 @@ type BuiltinBoard struct {
 	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

@@ -274,13 +274,14 @@ 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)
@@ -299,8 +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)
@@ -341,15 +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)
 
@@ -434,16 +435,17 @@ func (rt *Router) Config(r *gin.Engine) {
 		// for admin api
 		pages.GET("/user/busi-groups", rt.auth(), rt.admin(), rt.userBusiGroupsGets)
 
-		pages.POST("/builtin-components", rt.auth(), rt.user(), rt.perm("/builtin-components/add"), rt.builtinComponentsAdd)
-		pages.GET("/builtin-components", rt.auth(), rt.user(), rt.perm("/builtin-components"), rt.builtinComponentsGets)
-		pages.PUT("/builtin-components", rt.auth(), rt.user(), rt.perm("/builtin-components/put"), rt.builtinComponentsPut)
-		pages.DELETE("/builtin-components", rt.auth(), rt.user(), rt.perm("/builtin-components/del"), rt.builtinComponentsDel)
+		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.POST("/builtin-payloads", rt.auth(), rt.user(), rt.perm("/builtin-payloads/add"), rt.builtinPayloadsAdd)
-		pages.GET("/builtin-payloads", rt.auth(), rt.user(), rt.perm("/builtin-payloads"), rt.builtinPayloadsGets)
-		pages.GET("/builtin-payload/:id", rt.auth(), rt.user(), rt.perm("/builtin-payloads"), rt.builtinPayloadGet)
-		pages.PUT("/builtin-payloads", rt.auth(), rt.user(), rt.perm("/builtin-payloads/put"), rt.builtinPayloadsPut)
-		pages.DELETE("/builtin-payloads", rt.auth(), rt.user(), rt.perm("/builtin-payloads/del"), rt.builtinPayloadsDel)
+		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) {
@@ -477,10 +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)

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 +83,50 @@ 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
+
+	if !eventHistoryGroupView || strings.HasPrefix(c.Request.URL.Path, "/v1") {
+		if bgid > 0 {
+			return []int64{bgid}, nil
+		}
+		return bgids, nil
+	}
+
+	user := c.MustGet("user").(*models.User)
+	if 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

@@ -42,7 +42,7 @@ func (rt *Router) alertRuleGetsByGids(c *gin.Context) {
 			ginx.Dangerous(err)
 
 			if len(gids) == 0 {
-				ginx.Bomb(http.StatusForbidden, "forbidden")
+				ginx.NewRender(c).Data([]int{}, nil)
 				return
 			}
 		}

center/router/router_alert_subscribe.go

@@ -44,7 +44,7 @@ func (rt *Router) alertSubscribeGetsByGids(c *gin.Context) {
 			ginx.Dangerous(err)
 
 			if len(gids) == 0 {
-				ginx.Bomb(http.StatusForbidden, "forbidden")
+				ginx.NewRender(c).Data([]int{}, nil)
 				return
 			}
 		}

center/router/router_board.go

@@ -272,7 +272,7 @@ func (rt *Router) boardGetsByGids(c *gin.Context) {
 			ginx.Dangerous(err)
 
 			if len(gids) == 0 {
-				ginx.Bomb(http.StatusForbidden, "forbidden")
+				ginx.NewRender(c).Data([]int{}, nil)
 				return
 			}
 		}

center/router/router_builtin_metrics.go

@@ -2,11 +2,13 @@ package router
 
 import (
 	"net/http"
+	"time"
 
 	"github.com/ccfos/nightingale/v6/models"
 
 	"github.com/gin-gonic/gin"
 	"github.com/toolkits/pkg/ginx"
+	"github.com/toolkits/pkg/i18n"
 )
 
 // single or import
@@ -27,8 +29,9 @@ func (rt *Router) builtinMetricsAdd(c *gin.Context) {
 	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()
+			reterr[lst[i].Name] = i18n.Sprintf(c.GetHeader("X-Language"), err.Error())
 		}
 	}
 	ginx.NewRender(c).Data(reterr, nil)

center/router/router_builtin_payload.go

@@ -1,13 +1,24 @@
 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"
+	"github.com/toolkits/pkg/i18n"
 )
 
+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)
@@ -21,9 +32,138 @@ func (rt *Router) builtinPayloadsAdd(c *gin.Context) {
 
 	reterr := make(map[string]string)
 	for i := 0; i < count; i++ {
-		if err := lst[i].Add(rt.Ctx, username); err != nil {
-			reterr[lst[i].Name] = err.Error()
+		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] = i18n.Sprintf(c.GetHeader("X-Language"), 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] = i18n.Sprintf(c.GetHeader("X-Language"), 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] = i18n.Sprintf(c.GetHeader("X-Language"), err.Error())
+					}
+				}
+				continue
+			}
+
+			dashboard := Board{}
+			if err := json.Unmarshal([]byte(lst[i].Content), &dashboard); err != nil {
+				reterr[lst[i].Name] = i18n.Sprintf(c.GetHeader("X-Language"), 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] = i18n.Sprintf(c.GetHeader("X-Language"), err.Error())
+			}
+		} else {
+			if err := lst[i].Add(rt.Ctx, username); err != nil {
+				reterr[lst[i].Name] = i18n.Sprintf(c.GetHeader("X-Language"), err.Error())
+			}
 		}
+
 	}
 
 	ginx.NewRender(c).Data(reterr, nil)
@@ -33,20 +173,18 @@ func (rt *Router) builtinPayloadsGets(c *gin.Context) {
 	typ := ginx.QueryStr(c, "type", "")
 	component := ginx.QueryStr(c, "component", "")
 	cate := ginx.QueryStr(c, "cate", "")
-	name := ginx.QueryStr(c, "name", "")
-	limit := ginx.QueryInt(c, "limit", 20)
+	query := ginx.QueryStr(c, "query", "")
 
-	lst, err := models.BuiltinPayloadGets(rt.Ctx, typ, component, cate, name, limit, ginx.Offset(c, limit))
-	ginx.Dangerous(err)
-	m := make(map[string][]*models.BuiltinPayload)
-	for _, v := range lst {
-		if _, ok := m[v.Cate]; !ok {
-			m[v.Cate] = make([]*models.BuiltinPayload, 0)
-		}
-		m[v.Cate] = append(m[v.Cate], v)
-	}
+	lst, err := models.BuiltinPayloadGets(rt.Ctx, typ, component, cate, query)
+	ginx.NewRender(c).Data(lst, err)
+}
 
-	ginx.NewRender(c).Data(m, nil)
+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) {
@@ -75,6 +213,24 @@ func (rt *Router) builtinPayloadsPut(c *gin.Context) {
 		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
 

center/router/router_login.go

@@ -262,6 +262,15 @@ func (rt *Router) loginCallback(c *gin.Context) {
 		user.FullSsoFields("oidc", ret.Username, ret.Nickname, ret.Phone, ret.Email, rt.Sso.OIDC.DefaultRoles)
 		// create user from oidc
 		ginx.Dangerous(user.Add(rt.Ctx))
+
+		if len(rt.Sso.OIDC.DefaultTeams) > 0 {
+			for _, gid := range rt.Sso.OIDC.DefaultTeams {
+				err = models.UserGroupMemberAdd(rt.Ctx, gid, user.Id)
+				if err != nil {
+					logger.Errorf("user:%v UserGroupMemberAdd: %s", user, err)
+				}
+			}
+		}
 	}
 
 	// set user login state

center/router/router_mute.go

@@ -35,7 +35,7 @@ func (rt *Router) alertMuteGetsByGids(c *gin.Context) {
 			ginx.Dangerous(err)
 
 			if len(gids) == 0 {
-				ginx.Bomb(http.StatusForbidden, "forbidden")
+				ginx.NewRender(c).Data([]int{}, nil)
 				return
 			}
 		}

center/router/router_mw.go

@@ -143,6 +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()
 	}
 }

center/router/router_recording_rule.go

@@ -34,7 +34,7 @@ func (rt *Router) recordingRuleGetsByGids(c *gin.Context) {
 			ginx.Dangerous(err)
 
 			if len(gids) == 0 {
-				ginx.Bomb(http.StatusForbidden, "forbidden")
+				ginx.NewRender(c).Data([]int{}, nil)
 				return
 			}
 		}

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

@@ -1,7 +1,6 @@
 package router
 
 import (
-	"net/http"
 	"time"
 
 	"github.com/ccfos/nightingale/v6/alert/sender"
@@ -53,7 +52,7 @@ func (rt *Router) taskGetsByGids(c *gin.Context) {
 			ginx.Dangerous(err)
 
 			if len(gids) == 0 {
-				ginx.Bomb(http.StatusForbidden, "forbidden")
+				ginx.NewRender(c).Data([]int{}, nil)
 				return
 			}
 		}

center/router/router_task_tpl.go

@@ -47,7 +47,7 @@ func (rt *Router) taskTplGetsByGids(c *gin.Context) {
 			ginx.Dangerous(err)
 
 			if len(gids) == 0 {
-				ginx.Bomb(http.StatusForbidden, "forbidden")
+				ginx.NewRender(c).Data([]int{}, nil)
 				return
 			}
 		}

center/router/router_user.go

@@ -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)

center/router/router_user_group.go

@@ -10,6 +10,7 @@ import (
 	"github.com/gin-gonic/gin"
 	"github.com/toolkits/pkg/ginx"
 	"github.com/toolkits/pkg/logger"
+	"github.com/toolkits/pkg/str"
 )
 
 func (rt *Router) checkBusiGroupPerm(c *gin.Context) {
@@ -31,8 +32,36 @@ func (rt *Router) userGroupGets(c *gin.Context) {
 }
 
 func (rt *Router) userGroupGetsByService(c *gin.Context) {
-	lst, err := models.UserGroupGetAll(rt.Ctx)
-	ginx.NewRender(c).Data(lst, err)
+	ids := str.IdsInt64(ginx.QueryStr(c, "ids", ""))
+
+	if len(ids) == 0 {
+		lst, err := models.UserGroupGetAll(rt.Ctx)
+		ginx.Dangerous(err)
+		for i := 0; i < len(lst); i++ {
+			ids, err := models.MemberIds(rt.Ctx, lst[i].Id)
+			ginx.Dangerous(err)
+
+			lst[i].Users, err = models.UserGetsByIds(rt.Ctx, ids)
+			ginx.Dangerous(err)
+		}
+		ginx.NewRender(c).Data(lst, err)
+		return
+	}
+
+	lst := make([]models.UserGroup, 0)
+	for _, id := range ids {
+		ug := UserGroup(rt.Ctx, id)
+
+		ids, err := models.MemberIds(rt.Ctx, ug.Id)
+		ginx.Dangerous(err)
+
+		ug.Users, err = models.UserGetsByIds(rt.Ctx, ids)
+		ginx.Dangerous(err)
+
+		lst = append(lst, *ug)
+	}
+
+	ginx.NewRender(c).Data(lst, nil)
 }
 
 // user group member get by service

cmd/edge/edge.go

@@ -50,7 +50,7 @@ func Initialize(configDir string, cryptoKey string) (func(), error) {
 
 	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)

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

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

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

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

@@ -10,6 +10,7 @@ CREATE TABLE users (
     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,
@@ -831,4 +832,56 @@ 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';
+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

docker/initsql/a-n9e.sql

@@ -16,6 +16,7 @@ CREATE TABLE `users` (
     `contacts` varchar(1024) comment 'json e.g. {wecom:xx, dingtalk_robot_token:yy}',
     `maintainer` tinyint(1) not null default 0,
     `belong` varchar(16) not null default '' comment 'belong',
+    `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,
@@ -502,6 +503,44 @@ CREATE TABLE `alert_his_event` (
     KEY (`trigger_time`, `group_id`)
 ) ENGINE=InnoDB DEFAULT CHARSET = utf8mb4;
 
+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;
+
+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;
+
+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;
+
 CREATE TABLE `task_tpl`
 (
     `id`        int unsigned NOT NULL AUTO_INCREMENT,

docker/migratesql/migrate.sql

@@ -31,4 +31,47 @@ CREATE TABLE `metric_filter` (
   `update_by` varchar(191) NOT NULL DEFAULT '' COMMENT 'updater',
   PRIMARY KEY (`id`),
   KEY `idx_name` (`name`)
-) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
+) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
+
+
+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;
+
+/* 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;
+
+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;
+
+/* v7.0.0-beta.7 */
+ALTER TABLE users ADD COLUMN last_active_time BIGINT NOT NULL DEFAULT 0;

etc/config.toml

@@ -55,8 +55,6 @@ Enable = true
 user001 = "ccc26da7b9aba533cbb263a36c07dcc5"
 
 [HTTP.JWTAuth]
-# signing key
-SigningKey = "5b94a0fd640fe2765af826acfe42d151"
 # unit: min
 AccessExpired = 1500
 # unit: min
@@ -77,10 +75,11 @@ OpenRSA = false
 [DB]
 # postgres: host=%s port=%s user=%s dbname=%s password=%s sslmode=%s
 # postgres: DSN="host=127.0.0.1 port=5432 user=root dbname=n9e_v6 password=1234 sslmode=disable"
-DSN="root:1234@tcp(127.0.0.1:3306)/n9e_v6?charset=utf8mb4&parseTime=True&loc=Local&allowNativePasswords=true"
+# sqlite: DSN="/path/to/filename.db"
+DSN = "root:1234@tcp(127.0.0.1:3306)/n9e_v6?charset=utf8mb4&parseTime=True&loc=Local&allowNativePasswords=true"
 # enable debug mode or not
 Debug = false
-# mysql postgres
+# mysql postgres sqlite
 DBType = "mysql"
 # unit: s
 MaxLifetime = 7200

go.mod

@@ -8,7 +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/flashcatcloud/ibex v1.3.4
 	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
@@ -33,12 +33,14 @@ 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
 	gorm.io/driver/mysql v1.4.4
 	gorm.io/driver/postgres v1.4.5
-	gorm.io/gorm v1.24.2
+	gorm.io/driver/sqlite v1.5.5
+	gorm.io/gorm v1.25.7-0.20240204074919-46816ad31dde
 )
 
 require (
@@ -76,6 +78,7 @@ require (
 	github.com/josharian/intern v1.0.0 // indirect
 	github.com/klauspost/cpuid/v2 v2.2.4 // indirect
 	github.com/leodido/go-urn v1.2.4 // indirect
+	github.com/mattn/go-sqlite3 v1.14.17 // indirect
 	github.com/matttproud/golang_protobuf_extensions v1.0.4 // indirect
 	github.com/modern-go/concurrent v0.0.0-20180306012644-bacd9c7ef1dd // indirect
 	github.com/modern-go/reflect2 v1.0.2 // indirect
@@ -90,7 +93,6 @@ require (
 	go.uber.org/automaxprocs v1.5.2 // indirect
 	golang.org/x/arch v0.3.0 // indirect
 	golang.org/x/crypto v0.21.0 // indirect
-	golang.org/x/exp v0.0.0-20230713183714-613f0c0eb8a1 // indirect
 	golang.org/x/image v0.13.0 // indirect
 	golang.org/x/net v0.23.0 // indirect
 	golang.org/x/sys v0.18.0 // indirect

go.sum

@@ -47,8 +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/flashcatcloud/ibex v1.3.4 h1:s5MgQmDIYR18liBKPNl96kC/h1jOTZjIOlUWeSx0710=
+github.com/flashcatcloud/ibex v1.3.4/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=
@@ -209,6 +209,8 @@ github.com/mattn/go-isatty v0.0.12/go.mod h1:cbi8OIDigv2wuxKPP5vlRcQ1OAZbq2CE4Ky
 github.com/mattn/go-isatty v0.0.14/go.mod h1:7GGIvUiUoEMVVmxf/4nioHXj79iQHKdU27kJ6hsGG94=
 github.com/mattn/go-isatty v0.0.19 h1:JITubQf0MOLdlGRuRq+jtsDlekdYPia9ZFsB8h/APPA=
 github.com/mattn/go-isatty v0.0.19/go.mod h1:W+V8PltTTMOvKvAeJH7IuucS94S2C6jfK/D7dTCTo3Y=
+github.com/mattn/go-sqlite3 v1.14.17 h1:mCRHCLDUBXgpKAqIKsaAaAsrAlbkeomtRFKXh2L6YIM=
+github.com/mattn/go-sqlite3 v1.14.17/go.mod h1:2eHXhiwb8IkHr+BDWZGa96P6+rkvnG63S2DGjv9HUNg=
 github.com/matttproud/golang_protobuf_extensions v1.0.4 h1:mmDVorXM7PCGKw94cs5zkfA9PSy5pEvNWRP0ET0TIVo=
 github.com/matttproud/golang_protobuf_extensions v1.0.4/go.mod h1:BSXmuO+STAnVfrANrmjBb36TMTDstsz7MSK+HVaYKv4=
 github.com/modern-go/concurrent v0.0.0-20180228061459-e0a39a4cb421/go.mod h1:6dJC0mAP4ikYIbvyc7fijjWJddQyLn8Ig3JB5CqoB9Q=
@@ -464,9 +466,11 @@ gorm.io/driver/mysql v1.4.4 h1:MX0K9Qvy0Na4o7qSC/YI7XxqUw5KDw01umqgID+svdQ=
 gorm.io/driver/mysql v1.4.4/go.mod h1:BCg8cKI+R0j/rZRQxeKis/forqRwRSYOR8OM3Wo6hOM=
 gorm.io/driver/postgres v1.4.5 h1:mTeXTTtHAgnS9PgmhN2YeUbazYpLhUI1doLnw42XUZc=
 gorm.io/driver/postgres v1.4.5/go.mod h1:GKNQYSJ14qvWkvPwXljMGehpKrhlDNsqYRr5HnYGncg=
+gorm.io/driver/sqlite v1.5.5 h1:7MDMtUZhV065SilG62E0MquljeArQZNfJnjd9i9gx3E=
+gorm.io/driver/sqlite v1.5.5/go.mod h1:6NgQ7sQWAIFsPrJJl1lSNSu2TABh0ZZ/zm5fosATavE=
 gorm.io/gorm v1.23.8/go.mod h1:l2lP/RyAtc1ynaTjFksBde/O8v9oOGIApu2/xRitmZk=
 gorm.io/gorm v1.24.1-0.20221019064659-5dd2bb482755/go.mod h1:DVrVomtaYTbqs7gB/x2uVvqnXzv0nqjB396B8cG4dBA=
-gorm.io/gorm v1.24.2 h1:9wR6CFD+G8nOusLdvkZelOEhpJVwwHzpQOUM+REd6U0=
-gorm.io/gorm v1.24.2/go.mod h1:DVrVomtaYTbqs7gB/x2uVvqnXzv0nqjB396B8cG4dBA=
+gorm.io/gorm v1.25.7-0.20240204074919-46816ad31dde h1:9DShaph9qhkIYw7QF91I/ynrr4cOO2PZra2PFD7Mfeg=
+gorm.io/gorm v1.25.7-0.20240204074919-46816ad31dde/go.mod h1:hbnx/Oo0ChWMn1BIhpy1oYozzpM15i4YPuHDmfYtwg8=
 honnef.co/go/tools v0.0.1-2019.2.3/go.mod h1:a3bituU0lyd329TUQxRnasdCoJDkEUEAqEt0JzvZhAg=
 rsc.io/pdf v0.1.1/go.mod h1:n8OzWcQ6Sp37PL01nO98y4iUCRdTGarVfzxY20ICaU4=

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": "${datasource}",
+                "id": "ab2b0969-50e7-4e4b-962a-58be133e6aef",
+                "layout": {
+                    "h": 8,
+                    "i": "ab2b0969-50e7-4e4b-962a-58be133e6aef",
+                    "w": 12,
+                    "x": 12,
+                    "y": 1
+                },
+                "links": [],
+                "maxPerRow": 4,
+                "name": "响应时间/每分钟",
                 "options": {
-                    "tooltip": {
-                        "mode": "all",
-                        "sort": "none"
-                    },
                     "legend": {
                         "displayMode": "hidden"
                     },
@@ -97,101 +108,50 @@
                         "steps": [
                             {
                                 "color": "#634CD9",
-                                "value": null,
-                                "type": "base"
+                                "type": "base",
+                                "value": null
                             }
                         ]
+                    },
+                    "tooltip": {
+                        "mode": "all",
+                        "sort": "none"
                     }
                 },
-                "custom": {
-                    "version": "3.0.0",
-                    "drawStyle": "lines",
-                    "lineInterpolation": "linear",
-                    "fillOpacity": 0.3,
-                    "stack": "off",
-                    "lineWidth": 2,
-                    "gradientMode": "opacity"
-                },
-                "maxPerRow": 4,
-                "datasourceCate": "prometheus",
-                "datasourceValue": "${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": 0.3,
-                    "stack": "off",
-                    "lineWidth": 2,
-                    "gradientMode": "opacity"
-                },
-                "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"
                     },
@@ -199,56 +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": 0.3,
-                    "stack": "off",
-                    "lineWidth": 2,
-                    "gradientMode": "opacity"
-                },
-                "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"
                     },
@@ -256,25 +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": 0.3,
-                    "stack": "off",
-                    "lineWidth": 2,
-                    "gradientMode": "opacity"
-                },
-                "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": [
             {
@@ -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

@@ -1,337 +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": 0.3,
-                    "stack": "off",
-                    "lineWidth": 2,
-                    "gradientMode": "opacity"
-                },
-                "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=\"$host\"})",
-                        "legend": "系统的空闲内存"
+                        "legend": "系统的空闲内存",
+                        "refId": "B"
                     }
                 ],
-                "options": {
-                    "tooltip": {
-                        "mode": "all",
-                        "sort": "none"
-                    },
-                    "legend": {
-                        "displayMode": "hidden"
-                    },
-                    "thresholds": {
-                        "steps": [
-                            {
-                                "color": "#634CD9",
-                                "value": null,
-                                "type": "base"
-                            }
-                        ]
-                    }
-                },
-                "custom": {
-                    "version": "3.0.0",
-                    "drawStyle": "lines",
-                    "lineInterpolation": "linear",
-                    "fillOpacity": 0.3,
-                    "stack": "off",
-                    "lineWidth": 2,
-                    "gradientMode": "opacity"
-                },
-                "maxPerRow": 4,
-                "datasourceCate": "prometheus",
-                "datasourceValue": "${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": 0.3,
-                    "stack": "off",
-                    "lineWidth": 2,
-                    "gradientMode": "opacity"
-                },
-                "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": 0.3,
-                    "stack": "off",
-                    "lineWidth": 2,
-                    "gradientMode": "opacity"
-                },
-                "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"
                     },
@@ -339,65 +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": 0.3,
-                    "stack": "off",
-                    "lineWidth": 2,
-                    "gradientMode": "opacity"
-                },
-                "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"
                     },
@@ -405,25 +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": 0.3,
-                    "stack": "off",
-                    "lineWidth": 2,
-                    "gradientMode": "opacity"
-                },
-                "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": 2,
-          "fillOpacity": 0.3,
-          "gradientMode": "opacity",
-          "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": 2,
-          "fillOpacity": 0.3,
-          "gradientMode": "opacity",
-          "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": 2,
-          "fillOpacity": 0.3,
-          "gradientMode": "opacity",
-          "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=\"$instance_id\"}",
-            "refId": "B",
-            "legend": "均值 {{instance_id}}"
-          }
-        ],
-        "transformations": [
-          {
-            "id": "organize",
-            "options": {}
-          }
-        ],
-        "name": "边缘状态码4XX占比(%)",
-        "maxPerRow": 4,
-        "options": {
-          "tooltip": {
-            "mode": "all",
-            "sort": "none"
-          },
-          "legend": {
-            "displayMode": "hidden"
-          },
-          "standardOptions": {
-            "util": "percent"
-          },
-          "thresholds": {
-            "steps": [
-              {
-                "color": "#634CD9",
-                "value": null,
-                "type": "base"
-              }
-            ]
-          }
-        },
-        "custom": {
-          "drawStyle": "lines",
-          "lineInterpolation": "smooth",
-          "spanNulls": true,
-          "lineWidth": 2,
-          "fillOpacity": 0.3,
-          "gradientMode": "opacity",
-          "stack": "off",
-          "scaleDistribution": {
-            "type": "linear"
-          }
-        }
-      },
-      {
-        "type": "timeseries",
-        "id": "25b6e3fa-f6dd-4452-8025-3c7d9a9a592c",
-        "layout": {
-          "h": 4,
-          "w": 8,
-          "x": 8,
-          "y": 4,
-          "i": "e884b781-1bd4-476c-a807-a68a6417764e",
-          "isResizable": true
-        },
-        "version": "3.0.0",
-        "datasourceCate": "prometheus",
-        "datasourceValue": "${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": {
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-                "color": "#634CD9",
-                "value": null,
-                "type": "base"
-              }
-            ]
-          }
-        },
-        "custom": {
-          "drawStyle": "lines",
-          "lineInterpolation": "smooth",
-          "spanNulls": true,
-          "lineWidth": 2,
-          "fillOpacity": 0.3,
-          "gradientMode": "opacity",
-          "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": 0.3,
-          "gradientMode": "opacity",
-          "lineInterpolation": "smooth",
-          "lineWidth": 2,
-          "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": 0.3,
-          "gradientMode": "opacity",
-          "lineInterpolation": "smooth",
-          "lineWidth": 2,
-          "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": 0.3,
-          "gradientMode": "opacity",
-          "lineInterpolation": "smooth",
-          "lineWidth": 2,
-          "scaleDistribution": {
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-          },
-          "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": 0.3,
-          "gradientMode": "opacity",
-          "lineInterpolation": "smooth",
-          "lineWidth": 2,
-          "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": 0.3,
-          "gradientMode": "opacity",
-          "lineInterpolation": "smooth",
-          "lineWidth": 2,
-          "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": {
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-          "i": "9be66a1f-c0bb-47dc-a3c0-ad43b588789b",
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-        "version": "3.0.0",
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-        "datasourceValue": 7,
-        "targets": [
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-            "refId": "A",
-            "expr": "sum(delta(envoy_http_downstream_cx_rx_bytes_total{envoy_clusterid=\"$envoy_clusterid\"}[1m]))",
-            "legend": ""
-          }
-        ],
-        "transformations": [
-          {
-            "id": "organize",
-            "options": {}
-          }
-        ],
-        "name": "请求量（一分钟）",
-        "maxPerRow": 4,
-        "options": {
-          "tooltip": {
-            "mode": "all",
-            "sort": "none"
-          },
-          "legend": {
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-          "standardOptions": {
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-          },
-          "thresholds": {
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-          "lineWidth": 2,
-          "fillOpacity": 0.3,
-          "gradientMode": "opacity",
-          "stack": "off",
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-        }
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-      {
-        "type": "timeseries",
-        "id": "1b102bee-ccc9-49a0-a1d1-cc097bb6a987",
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-        "version": "3.0.0",
-        "datasourceCate": "prometheus",
-        "datasourceValue": 7,
-        "targets": [
-          {
-            "refId": "A",
-            "expr": "sum(rate(envoy_http_downstream_rq_time_sum{envoy_clusterid=\"$envoy_clusterid\"}[10m])) / sum(rate(envoy_http_downstream_rq_time_count{envoy_clusterid=\"$envoy_clusterid\"}[10m]))",
-            "legend": ""
-          }
-        ],
-        "transformations": [
-          {
-            "id": "organize",
-            "options": {}
-          }
-        ],
-        "name": "平均延迟",
-        "maxPerRow": 4,
-        "options": {
-          "tooltip": {
-            "mode": "all",
-            "sort": "none"
-          },
-          "legend": {
-            "displayMode": "list"
-          },
-          "standardOptions": {
-            "util": "milliseconds"
-          },
-          "thresholds": {
-            "steps": [
-              {
-                "color": "#634CD9",
-                "value": null,
-                "type": "base"
-              }
-            ]
-          }
-        },
-        "custom": {
-          "drawStyle": "lines",
-          "lineInterpolation": "smooth",
-          "spanNulls": false,
-          "lineWidth": 2,
-          "fillOpacity": 0.3,
-          "gradientMode": "opacity",
-          "stack": "off",
-          "scaleDistribution": {
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-          }
-        }
-      },
-      {
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-        "id": "b432fc11-2f9d-4b72-826b-6ca787401859",
-        "layout": {
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-        "datasourceCate": "prometheus",
-        "datasourceValue": 7,
-        "targets": [
-          {
-            "refId": "A",
-            "expr": "histogram_quantile(0.95, sum(rate(envoy_http_downstream_rq_time_bucket{envoy_clusterid=\"$envoy_clusterid\"}[10m])) by (le, service))",
-            "legend": ""
-          }
-        ],
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-            "options": {}
-          }
-        ],
-        "name": "P95",
-        "maxPerRow": 4,
-        "options": {
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-                "value": null,
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-          "stack": "off",
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-        "id": "9062d707-d8a7-4a93-82e5-46f6059e8d70",
-        "layout": {
-          "h": 6,
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-          "isResizable": true
-        },
-        "version": "3.0.0",
-        "datasourceCate": "prometheus",
-        "datasourceValue": 7,
-        "targets": [
-          {
-            "refId": "A",
-            "expr": "sum(irate(envoy_http_downstream_rq{envoy_clusterid=\"$envoy_clusterid\"}[2m]))",
-            "legend": ""
-          }
-        ],
-        "transformations": [
-          {
-            "id": "organize",
-            "options": {}
-          }
-        ],
-        "name": "QPS",
-        "maxPerRow": 4,
-        "options": {
-          "tooltip": {
-            "mode": "all",
-            "sort": "none"
-          },
-          "legend": {
-            "displayMode": "list"
-          },
-          "standardOptions": {
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-          },
-          "thresholds": {
-            "steps": [
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-                "value": null,
-                "type": "base"
-              }
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-        "custom": {
-          "drawStyle": "lines",
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-          "spanNulls": false,
-          "lineWidth": 2,
-          "fillOpacity": 0.3,
-          "gradientMode": "opacity",
-          "stack": "off",
-          "scaleDistribution": {
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-          }
-        }
-      },
-      {
-        "type": "barGauge",
-        "id": "c3f64cfd-adb2-4316-bb84-55f88ed513a3",
-        "layout": {
-          "h": 6,
-          "w": 24,
-          "x": 0,
-          "y": 11,
-          "i": "807c34f9-bd61-4da3-ad88-41bb3e045605",
-          "isResizable": true
-        },
-        "version": "3.0.0",
-        "datasourceCate": "prometheus",
-        "datasourceValue": 7,
-        "targets": [
-          {
-            "refId": "A",
-            "expr": "label_replace(label_replace(topk(10, sum(delta(envoy_cluster_upstream_rq_total{envoy_clusterid=\"$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": {}
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-        ],
-        "name": "Top Service Request",
-        "maxPerRow": 4,
-        "custom": {
-          "calc": "lastNotNull",
-          "baseColor": "#9470FF",
-          "serieWidth": 40,
-          "sortOrder": "desc"
-        },
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-      },
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-        "type": "timeseries",
-        "id": "8df57678-ff19-4b63-b768-4dad3f12222b",
-        "layout": {
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-          "x": 0,
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-          "i": "44f413ba-3262-4ccf-a4b1-c1165bafaaff",
-          "isResizable": true
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-        "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": [
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-            "id": "organize",
-            "options": {}
-          }
-        ],
-        "name": "Top Service RT",
-        "maxPerRow": 4,
-        "options": {
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-            "mode": "all",
-            "sort": "none"
-          },
-          "legend": {
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-          "standardOptions": {
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-          },
-          "thresholds": {
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-                "value": null,
-                "type": "base"
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-        },
-        "custom": {
-          "drawStyle": "lines",
-          "lineInterpolation": "smooth",
-          "spanNulls": false,
-          "lineWidth": 2,
-          "fillOpacity": 0.3,
-          "gradientMode": "opacity",
-          "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": 0.3,
-          "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"
-          }
+    "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": 0.3,
-          "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"
-          }
+        "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=\"$name\"},instance_id)",
+                "multi": false,
+                "name": "instance_id",
+                "type": "query"
+            }
         ],
-        "type": "timeseries",
-        "version": "2.0.0"
-      },
-      {
-        "custom": {
-          "drawStyle": "lines",
-          "fillOpacity": 0.3,
-          "gradientMode": "opacity",
-          "lineInterpolation": "smooth",
-          "lineWidth": 2,
-          "scaleDistribution": {
-            "type": "linear"
-          },
-          "spanNulls": false,
-          "stack": "off"
-        },
-        "datasourceCate": "prometheus",
-        "datasourceValue": "${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=\"$instance_id\"}) by (instance_id)",
-            "legend": "select",
-            "refId": "E"
-          }
-        ],
-        "type": "timeseries",
-        "version": "2.0.0"
-      }
-    ],
-    "var": [
-      {
-        "name": "datasource",
-        "type": "datasource",
-        "definition": "prometheus"
-      },
-      {
-        "name": "name",
-        "type": "query",
-        "datasource": {
-          "cate": "prometheus",
-          "value": "${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": 0.3,
-          "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"
-          }
+    "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=\"$instance_id\"}) by (instance_id)",
+                        "legend": "out",
+                        "refId": "B"
+                    }
+                ],
+                "type": "timeseries",
+                "version": "2.0.0"
+            }
         ],
-        "type": "timeseries",
-        "version": "2.0.0"
-      },
-      {
-        "custom": {
-          "drawStyle": "lines",
-          "fillOpacity": 0.3,
-          "gradientMode": "opacity",
-          "lineInterpolation": "smooth",
-          "lineWidth": 2,
-          "scaleDistribution": {
-            "type": "linear"
-          },
-          "spanNulls": false,
-          "stack": "off"
-        },
-        "datasourceCate": "prometheus",
-        "datasourceValue": "${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=\"$instance_id\"}) by (instance_id)",
-            "legend": "",
-            "refId": "A"
-          }
+        "var": [
+            {
+                "definition": "prometheus",
+                "name": "datasource",
+                "type": "datasource"
+            },
+            {
+                "datasource": {
+                    "cate": "prometheus",
+                    "value": "${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": 0.3,
-          "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=\"$instance_id\"}) by (instance_id)",
-            "legend": "out",
-            "refId": "B"
-          }
-        ],
-        "type": "timeseries",
-        "version": "2.0.0"
-      }
-    ],
-    "var": [
-      {
-        "name": "datasource",
-        "type": "datasource",
-        "definition": "prometheus"
-      },
-      {
-        "name": "name",
-        "type": "query",
-        "datasource": {
-          "cate": "prometheus",
-          "value": "${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": [
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-        "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
-          }
+    "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": "${datasource}",
+                "id": "01f4d444-aa2d-466d-9615-c76baf60a40c",
+                "layout": {
+                    "h": 4,
+                    "i": "01f4d444-aa2d-466d-9615-c76baf60a40c",
+                    "isResizable": true,
+                    "w": 8,
+                    "x": 0,
+                    "y": 1
+                },
+                "maxPerRow": 4,
+                "name": "CPU 使用率(%)",
+                "options": {
+                    "legend": {
+                        "displayMode": "hidden"
+                    },
+                    "standardOptions": {
+                        "util": "percent"
+                    },
+                    "thresholds": {
+                        "steps": [
+                            {
+                                "color": "#634CD9",
+                                "type": "base",
+                                "value": null
+                            }
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+                    "tooltip": {
+                        "mode": "all",
+                        "sort": "none"
+                    }
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+                "targets": [
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+                        "expr": "aliyun_acs_kvstore_cpu_usage_average{instance_id=\"$instance_id\"}",
+                        "instant": false,
+                        "legend": "",
+                        "refId": "A",
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+                    }
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+                "transformations": [
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+                "version": "3.0.0"
+            },
+            {
+                "custom": {
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+                    "gradientMode": "opacity",
+                    "lineInterpolation": "smooth",
+                    "lineWidth": 2,
+                    "scaleDistribution": {
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+                    },
+                    "spanNulls": false,
+                    "stack": "off"
+                },
+                "datasourceCate": "prometheus",
+                "datasourceValue": "${datasource}",
+                "id": "c43eb882-915f-4c38-a0b5-8f33c21ab44a",
+                "layout": {
+                    "h": 4,
+                    "i": "09903231-6557-42be-9cf3-2873878e9bf2",
+                    "isResizable": true,
+                    "w": 8,
+                    "x": 8,
+                    "y": 1
+                },
+                "maxPerRow": 4,
+                "name": "内存使用率(%)",
+                "options": {
+                    "legend": {
+                        "displayMode": "hidden"
+                    },
+                    "standardOptions": {
+                        "util": "percent"
+                    },
+                    "thresholds": {
+                        "steps": [
+                            {
+                                "color": "#634CD9",
+                                "type": "base",
+                                "value": null
+                            }
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+                    },
+                    "tooltip": {
+                        "mode": "all",
+                        "sort": "none"
+                    }
+                },
+                "targets": [
+                    {
+                        "expr": "aliyun_acs_kvstore_memory_usage_average{instance_id=\"$instance_id\"}",
+                        "legend": "",
+                        "refId": "A",
+                        "step": 120
+                    }
+                ],
+                "transformations": [
+                    {
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+                "version": "3.0.0"
+            },
+            {
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+                    "gradientMode": "opacity",
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+                    "scaleDistribution": {
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+                    },
+                    "spanNulls": false,
+                    "stack": "off"
+                },
+                "datasourceCate": "prometheus",
+                "datasourceValue": "${datasource}",
+                "id": "37447883-ad79-46bc-888a-1be2835c1c64",
+                "layout": {
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+                    "i": "378a5a26-c28e-4612-af09-f82ec2e11d80",
+                    "isResizable": true,
+                    "w": 8,
+                    "x": 16,
+                    "y": 1
+                },
+                "maxPerRow": 4,
+                "name": "连接数使用率(%)",
+                "options": {
+                    "legend": {
+                        "displayMode": "hidden"
+                    },
+                    "standardOptions": {
+                        "util": "percent"
+                    },
+                    "thresholds": {
+                        "steps": [
+                            {
+                                "color": "#634CD9",
+                                "type": "base",
+                                "value": null
+                            }
+                        ]
+                    },
+                    "tooltip": {
+                        "mode": "all",
+                        "sort": "none"
+                    }
+                },
+                "targets": [
+                    {
+                        "expr": "aliyun_acs_kvstore_connection_usage_average{instance_id=\"$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": [
+                    {
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+                        "options": {}
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+                "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": "${datasource}",
+                "id": "0577dc0f-887a-4a54-9100-ef5e5e7443a0",
+                "layout": {
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+                    "i": "93955b6b-620c-4407-908c-01ba4f544fef",
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+                "name": "流出带宽使用率(%)",
+                "options": {
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+                    },
+                    "standardOptions": {
+                        "util": "percent"
+                    },
+                    "thresholds": {
+                        "steps": [
+                            {
+                                "color": "#634CD9",
+                                "type": "base",
+                                "value": null
+                            }
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+                    },
+                    "tooltip": {
+                        "mode": "all",
+                        "sort": "none"
+                    }
+                },
+                "targets": [
+                    {
+                        "expr": "aliyun_acs_kvstore_intranet_out_ratio_average{instance_id=\"$instance_id\"}",
+                        "instant": false,
+                        "legend": "",
+                        "refId": "A",
+                        "step": 120
+                    }
+                ],
+                "transformations": [
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+                    "spanNulls": false,
+                    "stack": "off"
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+                "datasourceCate": "prometheus",
+                "datasourceValue": "${datasource}",
+                "id": "a83bd550-3866-4225-9c09-08dd77e1b281",
+                "layout": {
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+                    "thresholds": {
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         ],
-        "transformations": [
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-            "id": "organize",
-            "options": {}
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+        "var": [
+            {
+                "definition": "prometheus",
+                "name": "datasource",
+                "type": "datasource"
+            },
+            {
+                "datasource": {
+                    "cate": "prometheus",
+                    "value": "${datasource}"
+                },
+                "definition": "label_values(aliyun_acs_kvstore_cpu_usage_average,name)",
+                "multi": false,
+                "name": "name",
+                "type": "query"
+            },
+            {
+                "datasource": {
+                    "cate": "prometheus",
+                    "value": "${datasource}"
+                },
+                "definition": "label_values(aliyun_acs_kvstore_cpu_usage_average,instance_id)",
+                "multi": false,
+                "name": "instance_id",
+                "type": "query"
+            }
         ],
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-          "isResizable": true,
-          "w": 8,
-          "x": 16,
-          "y": 5
-        },
-        "maxPerRow": 4,
-        "name": "连接数使用率(%)",
-        "options": {
-          "legend": {
-            "displayMode": "hidden"
-          },
-          "standardOptions": {},
-          "thresholds": {
-            "steps": [
-              {
-                "color": "#634CD9",
-                "type": "base",
-                "value": null
-              }
-            ]
-          },
-          "tooltip": {
-            "mode": "all",
-            "sort": "none"
-          }
-        },
-        "targets": [
-          {
-            "expr": "aliyun_acs_kvstore_connection_usage_average{instance_id=\"$instance_id\"}",
-            "instant": false,
-            "legend": "",
-            "refId": "A",
-            "step": 120
-          }
-        ],
-        "transformations": [
-          {
-            "id": "organize",
-            "options": {}
-          }
-        ],
-        "type": "timeseries",
-        "version": "3.0.0"
-      }
-    ],
-    "var": [
-      {
-        "name": "datasource",
-        "type": "datasource",
-        "definition": "prometheus"
-      },
-      {
-        "name": "name",
-        "type": "query",
-        "datasource": {
-          "cate": "prometheus",
-          "value": "${datasource}"
-        },
-        "definition": "label_values(aliyun_acs_kvstore_cpu_usage_average,name)",
-        "multi": false
-      },
-      {
-        "datasource": {
-          "cate": "prometheus",
-          "value": "${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": {
-          "drawStyle": "lines",
-          "fillOpacity": 0.3,
-          "gradientMode": "opacity",
-          "lineInterpolation": "smooth",
-          "lineWidth": 2,
-          "scaleDistribution": {
-            "type": "linear"
-          },
-          "spanNulls": false,
-          "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": {
+                    "drawStyle": "lines",
+                    "fillOpacity": 0.3,
+                    "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": "${datasource}"
-      },
-      {
-        "custom": {
-          "drawStyle": "lines",
-          "fillOpacity": 0.3,
-          "gradientMode": "opacity",
-          "lineInterpolation": "smooth",
-          "lineWidth": 2,
-          "scaleDistribution": {
-            "type": "linear"
-          },
-          "spanNulls": false,
-          "stack": "off"
-        },
-        "datasourceCate": "prometheus",
-        "id": "b2002c63-8f0b-436c-b765-5bb65191f3c2",
-        "layout": {
-          "h": 4,
-          "i": "b2002c63-8f0b-436c-b765-5bb65191f3c2",
-          "isResizable": true,
-          "w": 12,
-          "x": 12,
-          "y": 0
-        },
-        "maxPerRow": 4,
-        "name": "7层协议实例Upstream状态码分布",
-        "options": {
-          "legend": {
-            "displayMode": "hidden"
-          },
-          "standardOptions": {},
-          "thresholds": {
-            "steps": [
-              {
-                "color": "#634CD9",
-                "type": "base",
-                "value": null
-              }
-            ]
-          },
-          "tooltip": {
-            "mode": "all",
-            "sort": "none"
-          }
-        },
-        "targets": [
-          {
-            "expr": "sum(aliyun_acs_slb_dashboard_upstream_code4xx_average{instance_id=~\"$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": "${datasource}"
-      },
-      {
-        "custom": {
-          "drawStyle": "lines",
-          "fillOpacity": 0.3,
-          "gradientMode": "opacity",
-          "lineInterpolation": "smooth",
-          "lineWidth": 2,
-          "scaleDistribution": {
-            "type": "linear"
-          },
-          "spanNulls": false,
-          "stack": "off"
-        },
-        "datasourceCate": "prometheus",
-        "id": "71028d82-4804-468f-92f4-3444953b22cc",
-        "layout": {
-          "h": 4,
-          "i": "71028d82-4804-468f-92f4-3444953b22cc",
-          "isResizable": true,
-          "w": 12,
-          "x": 0,
-          "y": 4
-        },
-        "maxPerRow": 4,
-        "name": "新建连接数",
-        "options": {
-          "legend": {
-            "displayMode": "hidden"
-          },
-          "standardOptions": {},
-          "thresholds": {
-            "steps": [
-              {
-                "color": "#634CD9",
-                "type": "base",
-                "value": null
-              }
-            ]
-          },
-          "tooltip": {
-            "mode": "all",
-            "sort": "none"
-          }
-        },
-        "targets": [
-          {
-            "expr": "sum(aliyun_acs_slb_dashboard_instance_new_connection_average{instance_id=~\"$instance_id\"}) by (instance_id)",
-            "legend": "{{instance_id}} 新建连接数",
-            "refId": "A"
-          }
-        ],
-        "type": "timeseries",
-        "version": "2.0.0",
-        "datasourceValue": "${datasource}"
-      },
-      {
-        "custom": {
-          "drawStyle": "lines",
-          "fillOpacity": 0.3,
-          "gradientMode": "opacity",
-          "lineInterpolation": "smooth",
-          "lineWidth": 2,
-          "scaleDistribution": {
-            "type": "linear"
-          },
-          "spanNulls": false,
-          "stack": "off"
-        },
-        "datasourceCate": "prometheus",
-        "id": "25f90635-ff68-4dc2-bfb0-c6634f0e6867",
-        "layout": {
-          "h": 4,
-          "i": "25f90635-ff68-4dc2-bfb0-c6634f0e6867",
-          "isResizable": true,
-          "w": 12,
-          "x": 12,
-          "y": 4
-        },
-        "maxPerRow": 4,
-        "name": "并发连接数",
-        "options": {
-          "legend": {
-            "displayMode": "hidden"
-          },
-          "standardOptions": {},
-          "thresholds": {
-            "steps": [
-              {
-                "color": "#634CD9",
-                "type": "base",
-                "value": null
-              }
-            ]
-          },
-          "tooltip": {
-            "mode": "all",
-            "sort": "none"
-          }
-        },
-        "targets": [
-          {
-            "expr": "sum(aliyun_acs_slb_dashboard_active_connection_average{instance_id=~\"$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": "${datasource}"
-      },
-      {
-        "custom": {
-          "drawStyle": "lines",
-          "fillOpacity": 0.3,
-          "gradientMode": "opacity",
-          "lineInterpolation": "smooth",
-          "lineWidth": 2,
-          "scaleDistribution": {
-            "type": "linear"
-          },
-          "spanNulls": false,
-          "stack": "off"
-        },
-        "datasourceCate": "prometheus",
-        "id": "fde27e57-bdd6-4fd6-b3c0-75222f736d3b",
-        "layout": {
-          "h": 4,
-          "i": "fde27e57-bdd6-4fd6-b3c0-75222f736d3b",
-          "isResizable": true,
-          "w": 12,
-          "x": 0,
-          "y": 8
-        },
-        "maxPerRow": 4,
-        "name": "数据包数",
-        "options": {
-          "legend": {
-            "displayMode": "hidden"
-          },
-          "standardOptions": {
-            "util": "none"
-          },
-          "thresholds": {
-            "steps": [
-              {
-                "color": "#634CD9",
-                "type": "base",
-                "value": null
-              }
-            ]
-          },
-          "tooltip": {
-            "mode": "all",
-            "sort": "none"
-          }
-        },
-        "targets": [
-          {
-            "expr": "sum(aliyun_acs_slb_dashboard_packet_rx_average{instance_id=~\"$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": 0.3,
-          "gradientMode": "opacity",
-          "lineInterpolation": "smooth",
-          "lineWidth": 2,
-          "scaleDistribution": {
-            "type": "linear"
-          },
-          "spanNulls": false,
-          "stack": "off"
-        },
-        "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": [
-              {
-                "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",
-        "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": 0.3,
-          "gradientMode": "opacity",
-          "lineInterpolation": "smooth",
-          "lineWidth": 2,
-          "scaleDistribution": {
-            "type": "linear"
-          },
-          "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": 0.3,
-          "gradientMode": "opacity",
-          "lineInterpolation": "smooth",
-          "lineWidth": 2,
-          "scaleDistribution": {
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-          "stack": "off"
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-        "datasourceCate": "prometheus",
-        "id": "efc75e62-5e75-470d-b12b-a98ca44b268a",
-        "layout": {
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-          "isResizable": true,
-          "w": 12,
-          "x": 12,
-          "y": 0
-        },
-        "maxPerRow": 4,
-        "name": "5xx 环比率V3",
-        "options": {
-          "legend": {
-            "displayMode": "hidden"
-          },
-          "standardOptions": {},
-          "thresholds": {
-            "steps": [
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-                "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": "${datasource}"
-      },
-      {
-        "custom": {
-          "drawStyle": "lines",
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-          "gradientMode": "opacity",
-          "lineInterpolation": "smooth",
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-          "scaleDistribution": {
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-          "stack": "off"
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-        "datasourceCate": "prometheus",
-        "id": "79aefa1b-5e50-4c0c-980d-e5523b859509",
-        "layout": {
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-          "i": "fc875397-c1a4-4713-b564-09abf852bcf3",
-          "isResizable": true,
-          "w": 12,
-          "x": 0,
-          "y": 4
-        },
-        "maxPerRow": 4,
-        "name": "4xx 环比率",
-        "options": {
-          "legend": {
-            "displayMode": "hidden"
-          },
-          "standardOptions": {},
-          "thresholds": {
-            "steps": [
-              {
-                "color": "#634CD9",
-                "type": "base",
-                "value": null
-              }
-            ]
-          },
-          "tooltip": {
-            "mode": "all",
-            "sort": "none"
-          }
-        },
-        "targets": [
-          {
-            "expr": "sum(aliyun_waf_4xx_ratio_maximum{instance_id=~\"$instance_id\"}) by (instance_id)",
-            "legend": "4xx 环比率",
-            "refId": "A"
-          }
-        ],
-        "type": "timeseries",
-        "version": "2.0.0",
-        "datasourceValue": "${datasource}"
-      },
-      {
-        "custom": {
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-          "gradientMode": "opacity",
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-        "options": {
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-            "expr": "sum(aliyun_waf_5xx_ratio_maximum{instance_id=~\"$instance_id\"}) by (instance_id)",
-            "legend": "5xx 环比率",
-            "refId": "A"
-          }
-        ],
-        "type": "timeseries",
-        "version": "2.0.0",
-        "datasourceValue": "${datasource}"
-      },
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-        "layout": {
-          "h": 4,
-          "i": "d0320716-f704-4b6e-8671-b58fb77a5d7c",
-          "isResizable": true,
-          "w": 12,
-          "x": 12,
-          "y": 8
-        },
-        "maxPerRow": 4,
-        "name": "QPS环比下降率",
-        "options": {
-          "legend": {
-            "displayMode": "hidden"
-          },
-          "standardOptions": {},
-          "thresholds": {
-            "steps": [
-              {
-                "color": "#634CD9",
-                "type": "base",
-                "value": null
-              }
-            ]
-          },
-          "tooltip": {
-            "mode": "all",
-            "sort": "none"
-          }
-        },
-        "targets": [
-          {
-            "expr": "sum(aliyun_waf_qps_ratio_down_maximum{instance_id=~\"$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
+                },
+                "links": [],
+                "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=${__field.labels.topic}"
+                        }
+                    ],
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+                "datasourceValue": "${DS_PROMETHEUS}",
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+                    "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"
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+                    },
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+                            "id": "byFrameRefID",
+                            "value": "A"
+                        },
+                        "properties": {
+                            "standardOptions": {
+                                "decimals": 1,
+                                "util": "bytesSecIEC"
+                            }
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+                        "type": "special"
+                    },
+                    {
+                        "matcher": {
+                            "id": "byFrameRefID",
+                            "value": "B"
+                        },
+                        "properties": {
+                            "standardOptions": {
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+                                "util": "bytesSecIEC"
+                            }
+                        },
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+                "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=\"$cluster_id\"})",
+                        "legend": "Size",
+                        "maxDataPoints": 240,
+                        "refId": "D"
+                    }
+                ],
+                "transformations": [
+                    {
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+                        "options": {}
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+                "version": "3.0.0"
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+            {
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+                    "aggrDimension": [
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+                    ],
+                    "calc": "lastNotNull",
+                    "colorMode": "value",
+                    "displayMode": "labelValuesToRows",
+                    "linkMode": "appendLinkColumn",
+                    "links": [
+                        {
+                            "title": "下钻",
+                            "url": "/dashboards/automq-broker-metrics?DS_PROMETHEUS=${DS_PROMETHEUS}\u0026cluster_id=${cluster_id}\u0026node_id=${__field.labels.instance}"
+                        }
+                    ],
+                    "showHeader": true
+                },
+                "datasourceCate": "prometheus",
+                "datasourceValue": "${DS_PROMETHEUS}",
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+                },
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+                        "matcher": {
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+                            "value": "C"
+                        },
+                        "properties": {
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+                            }
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+                    },
+                    {
+                        "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\"}[$__rate_interval]))",
+                        "legend": "Error Request",
+                        "maxDataPoints": 240,
+                        "refId": "L"
+                    }
+                ],
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+                        "options": {
+                            "renameByName": {
+                                "instance": "Node ID"
+                            }
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+                "version": "3.0.0"
+            }
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+        "var": [
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+                "name": "DS_PROMETHEUS",
+                "type": "datasource"
+            },
+            {
+                "allOption": false,
+                "datasource": {
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+                    "value": "${DS_PROMETHEUS}"
+                },
+                "definition": "label_values(process_runtime_jvm_cpu_utilization_ratio,job)",
+                "hide": false,
+                "multi": false,
+                "name": "cluster_id",
+                "reg": "",
+                "type": "query"
+            },
+            {
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+                    "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"
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+        "version": "3.0.0"
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+    "uuid": 1717556327162929000
+}

integrations/AutoMQ/dashboards/group_metrics.json

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+{
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+    "group_id": 0,
+    "name": "Group Metrics",
+    "ident": "automq-group-metrics",
+    "tags": "",
+    "create_at": 0,
+    "create_by": "",
+    "update_at": 0,
+    "update_by": "",
+    "configs": {
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+                    "lineInterpolation": "linear",
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+                    "spanNulls": false,
+                    "stack": "off"
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+                "datasourceCate": "prometheus",
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+                    "legend": {
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+                        "placement": "bottom"
+                    },
+                    "standardOptions": {
+                        "util": "none"
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+                    "thresholds": {
+                        "steps": [
+                            {
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+                                "type": "base",
+                                "value": null
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+                    "tooltip": {
+                        "mode": "all",
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+                            "id": "byFrameRefID"
+                        },
+                        "properties": {
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+                    }
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+                "targets": [
+                    {
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+                        "legend": "{{consumer_group}}#{{topic}}-{{partition}}",
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+}

integrations/AutoMQ/dashboards/topic_metrics.json

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+                    "isResizable": true,
+                    "w": 8,
+                    "x": 16,
+                    "y": 0
+                },
+                "links": [],
+                "maxPerRow": 4,
+                "name": "Request Throughput",
+                "options": {
+                    "legend": {
+                        "behaviour": "showItem",
+                        "displayMode": "hidden",
+                        "placement": "bottom"
+                    },
+                    "standardOptions": {
+                        "util": "none"
+                    },
+                    "thresholds": {
+                        "steps": [
+                            {
+                                "color": "#73BF69",
+                                "type": "base",
+                                "value": null
+                            }
+                        ]
+                    },
+                    "tooltip": {
+                        "mode": "single"
+                    },
+                    "valueMappings": []
+                },
+                "overrides": [
+                    {
+                        "matcher": {
+                            "id": "byFrameRefID"
+                        },
+                        "properties": {
+                            "rightYAxisDisplay": "off"
+                        }
+                    }
+                ],
+                "targets": [
+                    {
+                        "expr": "sum by(topic, type) (rate(kafka_topic_request_count_total{job=\"$cluster_id\", topic=~\"$topic\"}[$__rate_interval]))",
+                        "legend": "{{type}}",
+                        "maxDataPoints": 240,
+                        "refId": "A"
+                    }
+                ],
+                "transformations": [
+                    {
+                        "id": "organize",
+                        "options": {}
+                    }
+                ],
+                "type": "timeseries",
+                "version": "3.0.0"
+            },
+            {
+                "custom": {
+                    "calc": "lastNotNull",
+                    "colSpan": 1,
+                    "colorMode": "background",
+                    "graphMode": "none",
+                    "textMode": "valueAndName",
+                    "textSize": {},
+                    "valueField": "Value"
+                },
+                "datasourceCate": "prometheus",
+                "datasourceValue": "${TSDB}",
+                "id": "56a85016-ca99-4495-be6a-53de1366a396",
+                "layout": {
+                    "h": 3,
+                    "i": "56a85016-ca99-4495-be6a-53de1366a396",
+                    "isResizable": true,
+                    "w": 5,
+                    "x": 0,
+                    "y": 3
+                },
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+                "maxPerRow": 4,
+                "options": {
+                    "standardOptions": {
+                        "util": "none"
+                    },
+                    "thresholds": {
+                        "steps": [
+                            {
+                                "color": "rgba(44, 157, 61, 1)",
+                                "type": "base",
+                                "value": null
+                            }
+                        ]
+                    },
+                    "valueMappings": []
+                },
+                "targets": [
+                    {
+                        "expr": "sum by(job) (rate(kafka_network_io_bytes_total{job=\"$cluster_id\", topic=~\"$topic\", partition=~\"$partition\", direction=\"out\"}[$__rate_interval]))",
+                        "legend": "Bytes Out Total",
+                        "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": "${TSDB}",
+                "id": "6efe4439-00ab-41d8-a4f0-b2117ad13648",
+                "layout": {
+                    "h": 3,
+                    "i": "6efe4439-00ab-41d8-a4f0-b2117ad13648",
+                    "isResizable": true,
+                    "w": 3,
+                    "x": 5,
+                    "y": 3
+                },
+                "links": [],
+                "maxPerRow": 4,
+                "options": {
+                    "standardOptions": {
+                        "util": "none"
+                    },
+                    "thresholds": {
+                        "steps": [
+                            {
+                                "color": "rgba(148, 112, 255, 1)",
+                                "type": "base",
+                                "value": null
+                            }
+                        ]
+                    },
+                    "valueMappings": []
+                },
+                "targets": [
+                    {
+                        "expr": "count by(topic) (kafka_log_size{job=\"$cluster_id\", topic=~\"$topic\"})",
+                        "legend": "Partition Count",
+                        "maxDataPoints": 240,
+                        "refId": "A"
+                    }
+                ],
+                "transformations": [
+                    {
+                        "id": "organize",
+                        "options": {}
+                    }
+                ],
+                "type": "stat",
+                "version": "3.0.0"
+            },
+            {
+                "custom": {
+                    "drawStyle": "lines",
+                    "fillOpacity": 0,
+                    "gradientMode": "none",
+                    "lineInterpolation": "linear",
+                    "lineWidth": 1,
+                    "scaleDistribution": {
+                        "type": "linear"
+                    },
+                    "spanNulls": false,
+                    "stack": "off"
+                },
+                "datasourceCate": "prometheus",
+                "datasourceValue": "${TSDB}",
+                "id": "f3da44a7-bcb6-4b92-a5f9-b7e6856ced1a",
+                "layout": {
+                    "h": 6,
+                    "i": "f3da44a7-bcb6-4b92-a5f9-b7e6856ced1a",
+                    "isResizable": true,
+                    "w": 8,
+                    "x": 0,
+                    "y": 6
+                },
+                "links": [],
+                "maxPerRow": 4,
+                "name": "Size",
+                "options": {
+                    "legend": {
+                        "behaviour": "showItem",
+                        "displayMode": "list",
+                        "placement": "bottom"
+                    },
+                    "standardOptions": {
+                        "decimals": 1,
+                        "util": "bytesIEC"
+                    },
+                    "thresholds": {
+                        "steps": [
+                            {
+                                "color": "#73BF69",
+                                "type": "base",
+                                "value": null
+                            }
+                        ]
+                    },
+                    "tooltip": {
+                        "mode": "single"
+                    },
+                    "valueMappings": []
+                },
+                "overrides": [
+                    {
+                        "matcher": {
+                            "id": "byFrameRefID"
+                        },
+                        "properties": {
+                            "rightYAxisDisplay": "off"
+                        }
+                    }
+                ],
+                "targets": [
+                    {
+                        "expr": "sum by(topic) (kafka_log_size{job=\"$cluster_id\", topic=~\"$topic\"})",
+                        "legend": "{{topic}}",
+                        "maxDataPoints": 240,
+                        "refId": "A"
+                    }
+                ],
+                "transformations": [
+                    {
+                        "id": "organize",
+                        "options": {}
+                    }
+                ],
+                "type": "timeseries",
+                "version": "3.0.0"
+            },
+            {
+                "custom": {
+                    "drawStyle": "lines",
+                    "fillOpacity": 0.15,
+                    "gradientMode": "none",
+                    "lineInterpolation": "linear",
+                    "lineWidth": 1,
+                    "scaleDistribution": {
+                        "type": "linear"
+                    },
+                    "spanNulls": false,
+                    "stack": "off"
+                },
+                "datasourceCate": "prometheus",
+                "datasourceValue": "${TSDB}",
+                "id": "1354e591-5030-42f0-a3c3-eeb1e7c0a537",
+                "layout": {
+                    "h": 6,
+                    "i": "1354e591-5030-42f0-a3c3-eeb1e7c0a537",
+                    "isResizable": true,
+                    "w": 8,
+                    "x": 8,
+                    "y": 6
+                },
+                "links": [],
+                "maxPerRow": 4,
+                "name": "Bytes In",
+                "options": {
+                    "legend": {
+                        "behaviour": "showItem",
+                        "displayMode": "list",
+                        "placement": "bottom"
+                    },
+                    "standardOptions": {
+                        "decimals": 1,
+                        "util": "bytesSecIEC"
+                    },
+                    "thresholds": {
+                        "steps": [
+                            {
+                                "color": "#73BF69",
+                                "type": "base",
+                                "value": null
+                            }
+                        ]
+                    },
+                    "tooltip": {
+                        "mode": "all",
+                        "sort": "desc"
+                    },
+                    "valueMappings": []
+                },
+                "overrides": [
+                    {
+                        "matcher": {
+                            "id": "byFrameRefID"
+                        },
+                        "properties": {
+                            "rightYAxisDisplay": "off"
+                        }
+                    }
+                ],
+                "targets": [
+                    {
+                        "expr": "sum by(topic, partition) (rate(kafka_network_io_bytes_total{job=\"$cluster_id\", topic=~\"$topic\", direction=\"in\", partition=~\"$partition\"}[$__rate_interval]))",
+                        "legend": "{{topic}}-{{partition}}",
+                        "maxDataPoints": 240,
+                        "refId": "A"
+                    }
+                ],
+                "transformations": [
+                    {
+                        "id": "organize",
+                        "options": {}
+                    }
+                ],
+                "type": "timeseries",
+                "version": "3.0.0"
+            },
+            {
+                "custom": {
+                    "drawStyle": "lines",
+                    "fillOpacity": 0.15,
+                    "gradientMode": "none",
+                    "lineInterpolation": "linear",
+                    "lineWidth": 1,
+                    "scaleDistribution": {
+                        "type": "linear"
+                    },
+                    "spanNulls": false,
+                    "stack": "off"
+                },
+                "datasourceCate": "prometheus",
+                "datasourceValue": "${TSDB}",
+                "id": "a91a656b-e5b1-4265-ba88-f1881b324137",
+                "layout": {
+                    "h": 6,
+                    "i": "a91a656b-e5b1-4265-ba88-f1881b324137",
+                    "isResizable": true,
+                    "w": 8,
+                    "x": 16,
+                    "y": 6
+                },
+                "links": [],
+                "maxPerRow": 4,
+                "name": "Bytes Out",
+                "options": {
+                    "legend": {
+                        "behaviour": "showItem",
+                        "displayMode": "list",
+                        "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 by(topic, partition) (rate(kafka_network_io_bytes_total{job=\"$cluster_id\", topic=~\"$topic\", direction=\"out\", partition=~\"$partition\"}[$__rate_interval]))",
+                        "legend": "{{topic}}-{{partition}}",
+                        "maxDataPoints": 240,
+                        "refId": "A"
+                    }
+                ],
+                "transformations": [
+                    {
+                        "id": "organize",
+                        "options": {}
+                    }
+                ],
+                "type": "timeseries",
+                "version": "3.0.0"
+            },
+            {
+                "custom": {
+                    "calc": "lastNotNull",
+                    "colorMode": "value",
+                    "columns": [],
+                    "displayMode": "labelsOfSeriesToRows",
+                    "linkMode": "appendLinkColumn",
+                    "showHeader": true
+                },
+                "datasourceCate": "prometheus",
+                "datasourceValue": "${TSDB}",
+                "id": "5c3e188e-3d7c-4bc9-b8c7-c19c39a8d396",
+                "layout": {
+                    "h": 4,
+                    "i": "5c3e188e-3d7c-4bc9-b8c7-c19c39a8d396",
+                    "isResizable": true,
+                    "w": 24,
+                    "x": 0,
+                    "y": 12
+                },
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+                "name": "Consume group lag",
+                "options": {
+                    "standardOptions": {}
+                },
+                "overrides": [
+                    {
+                        "matcher": {
+                            "id": "byFrameRefID"
+                        }
+                    }
+                ],
+                "targets": [
+                    {
+                        "expr": "sum by(topic) (max by(topic, partition) (kafka_log_end_offset{job=\"$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=\"$cluster_id\", topic=~\"$topic\", partition=~\"$partition\"}))",
+                        "maxDataPoints": 240,
+                        "refId": "A"
+                    }
+                ],
+                "transformations": [
+                    {
+                        "id": "organize",
+                        "options": {}
+                    }
+                ],
+                "type": "table",
+                "version": "3.0.0"
+            }
+        ],
+        "var": [
+            {
+                "definition": "prometheus",
+                "hide": false,
+                "name": "TSDB",
+                "type": "datasource"
+            },
+            {
+                "datasource": {
+                    "cate": "prometheus",
+                    "value": "${TSDB}"
+                },
+                "definition": "label_values(process_runtime_jvm_cpu_utilization_ratio,job)",
+                "hide": false,
+                "multi": false,
+                "name": "cluster_id",
+                "reg": "",
+                "type": "query"
+            },
+            {
+                "allOption": true,
+                "datasource": {
+                    "cate": "prometheus",
+                    "value": "${TSDB}"
+                },
+                "definition": "label_values(kafka_log_size,topic)",
+                "hide": false,
+                "multi": true,
+                "name": "topic",
+                "reg": "",
+                "type": "query"
+            },
+            {
+                "allOption": true,
+                "allValue": ".*",
+                "datasource": {
+                    "cate": "prometheus",
+                    "value": "${TSDB}"
+                },
+                "definition": "label_values(kafka_log_size{topic=\"$topic\"},partition)",
+                "hide": false,
+                "multi": true,
+                "name": "partition",
+                "reg": "",
+                "type": "query"
+            }
+        ],
+        "version": "3.0.0"
+    },
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+    "built_in": 0,
+    "hide": 0,
+    "uuid": 1717556327174664000
+}

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",
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+        "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": ""
+    }
+]

integrations/CloudWatch/dashboards/dashboard-by-aws-rds.json

@@ -1,7 +1,13 @@
 {
+    "id": 0,
+    "group_id": 0,
     "name": "AWS RDS Telegraf",
-    "tags": "AWS Cloudwatch Telegraf",
     "ident": "",
+    "tags": "AWS Cloudwatch Telegraf",
+    "create_at": 0,
+    "create_by": "",
+    "update_at": 0,
+    "update_by": "",
     "configs": {
         "panels": [
             {
@@ -26,6 +32,8 @@
                     "lineInterpolation": "smooth",
                     "stack": "off"
                 },
+                "datasourceCate": "prometheus",
+                "datasourceValue": "${datasource}",
                 "description": "* Telegraf Gather AWS Cloudwatch RDS\n* cloudwatch aws rds cpu 利用率平均值",
                 "id": "2002c9f5-6177-4239-a0c6-2981edacae5a",
                 "layout": {
@@ -63,9 +71,7 @@
                     }
                 ],
                 "type": "timeseries",
-                "version": "2.0.0",
-                "datasourceCate": "prometheus",
-                "datasourceValue": "${datasource}"
+                "version": "2.0.0"
             },
             {
                 "custom": {
@@ -74,6 +80,8 @@
                     "lineInterpolation": "smooth",
                     "stack": "off"
                 },
+                "datasourceCate": "prometheus",
+                "datasourceValue": "${datasource}",
                 "description": "* Telegraf Gather AWS Cloudwatch RDS\n* cloudwatch aws rds 数据库连接平均值",
                 "id": "c54b9dca-88ce-425a-bf75-6d8b363f6ebb",
                 "layout": {
@@ -111,9 +119,7 @@
                     }
                 ],
                 "type": "timeseries",
-                "version": "2.0.0",
-                "datasourceCate": "prometheus",
-                "datasourceValue": "${datasource}"
+                "version": "2.0.0"
             },
             {
                 "custom": {
@@ -122,6 +128,8 @@
                     "lineInterpolation": "smooth",
                     "stack": "off"
                 },
+                "datasourceCate": "prometheus",
+                "datasourceValue": "${datasource}",
                 "description": "* Telegraf Gather AWS Cloudwatch RDS\n* cloudwatch aws rds 可用存储空间平均值",
                 "id": "997a6214-2ac0-46c6-a0b9-046810b2b8cf",
                 "layout": {
@@ -159,9 +167,7 @@
                     }
                 ],
                 "type": "timeseries",
-                "version": "2.0.0",
-                "datasourceCate": "prometheus",
-                "datasourceValue": "${datasource}"
+                "version": "2.0.0"
             },
             {
                 "custom": {
@@ -170,6 +176,8 @@
                     "lineInterpolation": "smooth",
                     "stack": "off"
                 },
+                "datasourceCate": "prometheus",
+                "datasourceValue": "${datasource}",
                 "description": "* Telegraf Gather AWS Cloudwatch RDS\n* cloudwatch aws rds 可用内存平均值",
                 "id": "6c00311c-e931-487f-b088-3a3bfafc84ef",
                 "layout": {
@@ -207,9 +215,7 @@
                     }
                 ],
                 "type": "timeseries",
-                "version": "2.0.0",
-                "datasourceCate": "prometheus",
-                "datasourceValue": "${datasource}"
+                "version": "2.0.0"
             },
             {
                 "custom": {
@@ -218,6 +224,8 @@
                     "lineInterpolation": "smooth",
                     "stack": "off"
                 },
+                "datasourceCate": "prometheus",
+                "datasourceValue": "${datasource}",
                 "description": "* Telegraf Gather AWS Cloudwatch RDS\n* cloudwatch aws rds lvm 写入 iops 平均值",
                 "id": "990ab5a1-4aa5-47c3-b7b7-a65f63459119",
                 "layout": {
@@ -250,9 +258,7 @@
                     }
                 ],
                 "type": "timeseries",
-                "version": "2.0.0",
-                "datasourceCate": "prometheus",
-                "datasourceValue": "${datasource}"
+                "version": "2.0.0"
             },
             {
                 "custom": {
@@ -261,6 +267,8 @@
                     "lineInterpolation": "smooth",
                     "stack": "off"
                 },
+                "datasourceCate": "prometheus",
+                "datasourceValue": "${datasource}",
                 "description": "* Telegraf Gather AWS Cloudwatch RDS\n* cloudwatch aws rds 读取 iops 平均值",
                 "id": "a61a80da-7d0a-45a5-a868-bd442b3aa4cf",
                 "layout": {
@@ -293,9 +301,7 @@
                     }
                 ],
                 "type": "timeseries",
-                "version": "2.0.0",
-                "datasourceCate": "prometheus",
-                "datasourceValue": "${datasource}"
+                "version": "2.0.0"
             },
             {
                 "custom": {
@@ -304,6 +310,8 @@
                     "lineInterpolation": "smooth",
                     "stack": "off"
                 },
+                "datasourceCate": "prometheus",
+                "datasourceValue": "${datasource}",
                 "description": "* Telegraf Gather AWS Cloudwatch RDS\n* cloudwatch aws rds 写入吞吐量平均值",
                 "id": "2e605342-3413-4004-9fcf-3dbbfa7e7be3",
                 "layout": {
@@ -336,9 +344,7 @@
                     }
                 ],
                 "type": "timeseries",
-                "version": "2.0.0",
-                "datasourceCate": "prometheus",
-                "datasourceValue": "${datasource}"
+                "version": "2.0.0"
             },
             {
                 "custom": {
@@ -347,6 +353,8 @@
                     "lineInterpolation": "smooth",
                     "stack": "off"
                 },
+                "datasourceCate": "prometheus",
+                "datasourceValue": "${datasource}",
                 "description": "* Telegraf Gather AWS Cloudwatch RDS\n* cloudwatch aws rds 读取吞吐量平均值",
                 "id": "1ef3f98d-1b54-408a-8cc2-4570c327d705",
                 "layout": {
@@ -379,9 +387,7 @@
                     }
                 ],
                 "type": "timeseries",
-                "version": "2.0.0",
-                "datasourceCate": "prometheus",
-                "datasourceValue": "${datasource}"
+                "version": "2.0.0"
             },
             {
                 "collapsed": true,
@@ -405,6 +411,8 @@
                     "lineInterpolation": "smooth",
                     "stack": "off"
                 },
+                "datasourceCate": "prometheus",
+                "datasourceValue": "${datasource}",
                 "description": "* Telegraf Gather AWS Cloudwatch RDS\n* cloudwatch aws rds 网络接收吞吐量平均",
                 "id": "4ba500c9-e87e-41e4-bbc1-82fec507da9d",
                 "layout": {
@@ -437,9 +445,7 @@
                     }
                 ],
                 "type": "timeseries",
-                "version": "2.0.0",
-                "datasourceCate": "prometheus",
-                "datasourceValue": "${datasource}"
+                "version": "2.0.0"
             },
             {
                 "custom": {
@@ -448,6 +454,8 @@
                     "lineInterpolation": "smooth",
                     "stack": "off"
                 },
+                "datasourceCate": "prometheus",
+                "datasourceValue": "${datasource}",
                 "description": "* Telegraf Gather AWS Cloudwatch RDS\n* cloudwatch aws rds 网络传输吞吐量平均值",
                 "id": "edee8285-1274-4ddc-b166-fb773c764c2b",
                 "layout": {
@@ -480,9 +488,7 @@
                     }
                 ],
                 "type": "timeseries",
-                "version": "2.0.0",
-                "datasourceCate": "prometheus",
-                "datasourceValue": "${datasource}"
+                "version": "2.0.0"
             },
             {
                 "custom": {
@@ -491,6 +497,8 @@
                     "lineInterpolation": "smooth",
                     "stack": "off"
                 },
+                "datasourceCate": "prometheus",
+                "datasourceValue": "${datasource}",
                 "description": "* Telegraf Gather AWS Cloudwatch RDS\n* cloudwatch aws rds 写入延迟平均值",
                 "id": "ecb9b8a5-b168-4a65-b7f6-7912ab6c6b22",
                 "layout": {
@@ -523,9 +531,7 @@
                     }
                 ],
                 "type": "timeseries",
-                "version": "2.0.0",
-                "datasourceCate": "prometheus",
-                "datasourceValue": "${datasource}"
+                "version": "2.0.0"
             },
             {
                 "custom": {
@@ -534,6 +540,8 @@
                     "lineInterpolation": "smooth",
                     "stack": "off"
                 },
+                "datasourceCate": "prometheus",
+                "datasourceValue": "${datasource}",
                 "description": "* Telegraf Gather AWS Cloudwatch RDS\n* cloudwatch aws rds 读取延迟平均值",
                 "id": "60d009fa-e547-45be-a862-9b156c15b675",
                 "layout": {
@@ -566,9 +574,7 @@
                     }
                 ],
                 "type": "timeseries",
-                "version": "2.0.0",
-                "datasourceCate": "prometheus",
-                "datasourceValue": "${datasource}"
+                "version": "2.0.0"
             },
             {
                 "collapsed": true,
@@ -592,6 +598,8 @@
                     "lineInterpolation": "smooth",
                     "stack": "off"
                 },
+                "datasourceCate": "prometheus",
+                "datasourceValue": "${datasource}",
                 "description": "* Telegraf Gather AWS Cloudwatch RDS\n* cloudwatch aws rds 磁盘队列深度平均值",
                 "id": "7edcf2a8-16f3-49ef-9026-e53dc5e72c69",
                 "layout": {
@@ -624,9 +632,7 @@
                     }
                 ],
                 "type": "timeseries",
-                "version": "2.0.0",
-                "datasourceCate": "prometheus",
-                "datasourceValue": "${datasource}"
+                "version": "2.0.0"
             },
             {
                 "custom": {
@@ -635,6 +641,8 @@
                     "lineInterpolation": "smooth",
                     "stack": "off"
                 },
+                "datasourceCate": "prometheus",
+                "datasourceValue": "${datasource}",
                 "description": "* Telegraf Gather AWS Cloudwatch RDS\n* cloudwatch aws rds 二进制日志磁盘使用情况 (MB)",
                 "id": "42143731-22a9-45b4-bb1e-ddb8f2c11a70",
                 "layout": {
@@ -667,9 +675,7 @@
                     }
                 ],
                 "type": "timeseries",
-                "version": "2.0.0",
-                "datasourceCate": "prometheus",
-                "datasourceValue": "${datasource}"
+                "version": "2.0.0"
             },
             {
                 "custom": {
@@ -678,6 +684,8 @@
                     "lineInterpolation": "smooth",
                     "stack": "off"
                 },
+                "datasourceCate": "prometheus",
+                "datasourceValue": "${datasource}",
                 "description": "* Telegraf Gather AWS Cloudwatch RDS\n* cloudwatch aws rds 交换分区使用平均值",
                 "id": "51c6f9d9-30db-4514-a54d-712e1a570b23",
                 "layout": {
@@ -710,9 +718,7 @@
                     }
                 ],
                 "type": "timeseries",
-                "version": "2.0.0",
-                "datasourceCate": "prometheus",
-                "datasourceValue": "${datasource}"
+                "version": "2.0.0"
             },
             {
                 "custom": {
@@ -721,6 +727,8 @@
                     "lineInterpolation": "smooth",
                     "stack": "off"
                 },
+                "datasourceCate": "prometheus",
+                "datasourceValue": "${datasource}",
                 "description": "* Telegraf Gather AWS Cloudwatch RDS\n* cloudwatch aws rds 突发余额平均值",
                 "id": "767bcc71-3f71-443a-9713-03f587ccc350",
                 "layout": {
@@ -755,37 +763,41 @@
                     }
                 ],
                 "type": "timeseries",
-                "version": "2.0.0",
-                "datasourceCate": "prometheus",
-                "datasourceValue": "${datasource}"
+                "version": "2.0.0"
             }
         ],
         "var": [
             {
+                "definition": "prometheus",
                 "name": "datasource",
-                "type": "datasource",
-                "definition": "prometheus"
+                "type": "datasource"
             },
             {
+                "datasource": {
+                    "cate": "prometheus",
+                    "value": "${datasource}"
+                },
                 "definition": "label_values(cloudwatch_aws_rds_cpu_utilization_average, region)",
                 "multi": false,
                 "name": "region",
-                "type": "query",
-                "datasource": {
-                    "cate": "prometheus",
-                    "value": "${datasource}"
-                }
+                "type": "query"
             },
             {
-                "definition": "label_values(cloudwatch_aws_rds_cpu_utilization_average{region=\"$region\"}, db_instance_identifier)",
-                "name": "instance",
-                "type": "query",
                 "datasource": {
                     "cate": "prometheus",
                     "value": "${datasource}"
-                }
+                },
+                "definition": "label_values(cloudwatch_aws_rds_cpu_utilization_average{region=\"$region\"}, db_instance_identifier)",
+                "name": "instance",
+                "type": "query"
             }
         ],
         "version": "3.0.0"
-    }
+    },
+    "public": 0,
+    "public_cate": 0,
+    "bgids": null,
+    "built_in": 0,
+    "hide": 0,
+    "uuid": 1717556327336057000
 }