add some sql

.github/ISSUE_TEMPLATE/bug_report.yml

@@ -0,0 +1,67 @@
+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

@@ -1,33 +0,0 @@
-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

@@ -26,8 +26,7 @@ jobs:
       - name: Run GoReleaser
         uses: goreleaser/goreleaser-action@v3
         with:
-          distribution: goreleaser
-          version: '~> v1'
+          version: latest
           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=&projects=&template=question.yml)
+- ❤️[报告 Bug](https://github.com/ccfos/nightingale/issues/new?assignees=&labels=kind%2Fbug&projects=&template=bug_report.yml)
 - ℹ️为了提供更快速的访问体验，上述文档和下载站点托管于 [FlashcatCloud](https://flashcat.cloud)
 
 ## 功能特点
@@ -78,12 +78,11 @@
 
 ![边缘部署模式](https://download.flashcat.cloud/ulric/20240222102119.png)
 
-
 ## 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
 - 推荐搜索关注夜莺公众号，第一时间获取社区动态：`夜莺监控Nightingale`
-- 日常问题交流推荐加入[知识星球](https://download.flashcat.cloud/ulric/20240319095409.png)，也可以加我微信 `picobyte`，备注：`夜莺加群-<公司>-<姓名>` 拉入微信群，不过研发人员主要是关注 github issue 和星球，微信群关注较少
+- 日常答疑、技术分享、用户之间的交流，统一使用知识星球，大伙可以免费加入交流，[入口在这里](https://download.flashcat.cloud/ulric/20240319095409.png)
 
 ## 广受关注
 [![Stargazers over time](https://api.star-history.com/svg?repos=ccfos/nightingale&type=Date)](https://star-history.com/#ccfos/nightingale&Date)

alert/aconf/conf.go

@@ -32,7 +32,6 @@ type Alerting struct {
 	Timeout           int64
 	TemplatesDir      string
 	NotifyConcurrency int
-	WebhookBatchSend  bool
 }
 
 type CallPlugin struct {

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, redis)
+	targetCache := memsto.NewTargetCache(ctx, syncStats, nil)
 	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, promClients)
+	consumer := dispatch.NewConsumer(alertc.Alerting, ctx, dp)
 
 	go dp.ReloadTpls()
 	go consumer.LoopConsume()

alert/dispatch/consume.go

@@ -1,19 +1,14 @@
 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"
@@ -23,17 +18,15 @@ type Consumer struct {
 	alerting aconf.Alerting
 	ctx      *ctx.Context
 
-	dispatch    *Dispatch
-	promClients *prom.PromClientMap
+	dispatch *Dispatch
 }
 
 // 创建一个 Consumer 实例
-func NewConsumer(alerting aconf.Alerting, ctx *ctx.Context, dispatch *Dispatch, promClients *prom.PromClientMap) *Consumer {
+func NewConsumer(alerting aconf.Alerting, ctx *ctx.Context, dispatch *Dispatch) *Consumer {
 	return &Consumer{
-		alerting:    alerting,
-		ctx:         ctx,
-		dispatch:    dispatch,
-		promClients: promClients,
+		alerting: alerting,
+		ctx:      ctx,
+		dispatch: dispatch,
 	}
 }
 
@@ -80,19 +73,17 @@ 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 {
@@ -124,68 +115,3 @@ 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

@@ -4,9 +4,7 @@ import (
 	"bytes"
 	"encoding/json"
 	"html/template"
-	"net/url"
 	"strconv"
-	"strings"
 	"sync"
 	"time"
 
@@ -33,7 +31,6 @@ 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
@@ -100,21 +97,6 @@ func (e *Dispatch) relaodTpls() error {
 		models.Mm:         sender.NewSender(models.Mm, tmpTpls),
 		models.Telegram:   sender.NewSender(models.Telegram, tmpTpls),
 		models.FeishuCard: sender.NewSender(models.FeishuCard, tmpTpls),
-		models.Lark:       sender.NewSender(models.Lark, tmpTpls),
-		models.LarkCard:   sender.NewSender(models.LarkCard, 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.LarkDomain:       sender.NewCallBacker(models.LarkDomain, e.targetCache, e.userCache, e.taskTplsCache, tmpTpls),
-		models.DefaultDomain:    sender.NewCallBacker(models.DefaultDomain, e.targetCache, e.userCache, e.taskTplsCache, tmpTpls),
-		models.LarkCardDomain:   sender.NewCallBacker(models.LarkCardDomain, e.targetCache, e.userCache, e.taskTplsCache, tmpTpls),
 	}
 
 	e.RwLock.RLock()
@@ -126,7 +108,6 @@ func (e *Dispatch) relaodTpls() error {
 	e.RwLock.Lock()
 	e.tpls = tmpTpls
 	e.Senders = senders
-	e.CallBacks = callbacks
 	e.RwLock.Unlock()
 	return nil
 }
@@ -262,66 +243,15 @@ func (e *Dispatch) Send(rule *models.AlertRule, event *models.AlertCurEvent, not
 	}
 
 	// handle event callbacks
-	e.SendCallbacks(rule, notifyTarget, event)
+	sender.SendCallbacks(e.ctx, notifyTarget.ToCallbackList(), event, e.targetCache, e.userCache, e.taskTplsCache, e.Astats)
 
 	// handle global webhooks
-	if e.alerting.WebhookBatchSend {
-		sender.BatchSendWebhooks(notifyTarget.ToWebhookList(), event, e.Astats)
-	} else {
-		sender.SingleSendWebhooks(notifyTarget.ToWebhookList(), event, e.Astats)
-	}
+	sender.SendWebhooks(notifyTarget.ToWebhookList(), event, e.Astats)
 
 	// handle plugin call
 	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.alerting.WebhookBatchSend, 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
-		}
-
-		// process lark card
-		if parsedURL.Host == models.LarkDomain && parsedURL.Query().Get("card") == "1" {
-			e.CallBacks[models.LarkCardDomain].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

@@ -79,35 +79,11 @@ func (s *NotifyTarget) ToCallbackList() []string {
 func (s *NotifyTarget) ToWebhookList() []*models.Webhook {
 	webhooks := make([]*models.Webhook, 0, len(s.webhooks))
 	for _, wh := range s.webhooks {
-		if wh.Batch == 0 {
-			wh.Batch = 1000
-		}
-
-		if wh.Timeout == 0 {
-			wh.Timeout = 10
-		}
-
-		if wh.RetryCount == 0 {
-			wh.RetryCount = 10
-		}
-
-		if wh.RetryInterval == 0 {
-			wh.RetryInterval = 10
-		}
-
 		webhooks = append(webhooks, wh)
 	}
 	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

@@ -143,22 +143,19 @@ func (arw *AlertRuleWorker) Eval() {
 			if p.Severity > point.Severity {
 				hash := process.Hash(cachedRule.Id, arw.processor.DatasourceId(), p)
 				arw.processor.DeleteProcessEvent(hash)
-				models.AlertCurEventDelByHash(arw.ctx, hash)
 
 				pointsMap[tagHash] = point
 			}
 		}
 
-		now := time.Now().Unix()
 		for _, point := range pointsMap {
 			str := fmt.Sprintf("%v", point.Value)
-			arw.processor.RecoverSingle(process.Hash(cachedRule.Id, arw.processor.DatasourceId(), point), now, &str)
+			arw.processor.RecoverSingle(process.Hash(cachedRule.Id, arw.processor.DatasourceId(), point), point.Timestamp, &str)
 		}
 	} else {
-		now := time.Now().Unix()
 		for _, point := range recoverPoints {
 			str := fmt.Sprintf("%v", point.Value)
-			arw.processor.RecoverSingle(process.Hash(cachedRule.Id, arw.processor.DatasourceId(), point), now, &str)
+			arw.processor.RecoverSingle(process.Hash(cachedRule.Id, arw.processor.DatasourceId(), point), point.Timestamp, &str)
 		}
 	}
 

alert/mute/mute.go

@@ -12,28 +12,28 @@ import (
 	"github.com/toolkits/pkg/logger"
 )
 
-func IsMuted(rule *models.AlertRule, event *models.AlertCurEvent, targetCache *memsto.TargetCacheType, alertMuteCache *memsto.AlertMuteCacheType) (bool, string) {
+func IsMuted(rule *models.AlertRule, event *models.AlertCurEvent, targetCache *memsto.TargetCacheType, alertMuteCache *memsto.AlertMuteCacheType) bool {
 	if rule.Disabled == 1 {
-		return true, "rule disabled"
+		return true
 	}
 
 	if TimeSpanMuteStrategy(rule, event) {
-		return true, "rule is not effective for period of time"
+		return true
 	}
 
 	if IdentNotExistsMuteStrategy(rule, event, targetCache) {
-		return true, "ident not exists mute"
+		return true
 	}
 
 	if BgNotMatchMuteStrategy(rule, event, targetCache) {
-		return true, "bg not match mute"
+		return true
 	}
 
 	if EventMuteStrategy(event, alertMuteCache) {
-		return true, "match mute rule"
+		return true
 	}
 
-	return false, ""
+	return false
 }
 
 // TimeSpanMuteStrategy 根据规则配置的告警生效时间段过滤,如果产生的告警不在规则配置的告警生效时间段内,则不告警,即被mute

alert/process/process.go

@@ -18,9 +18,6 @@ import (
 	"github.com/ccfos/nightingale/v6/models"
 	"github.com/ccfos/nightingale/v6/pkg/ctx"
 	"github.com/ccfos/nightingale/v6/pkg/tplx"
-	"github.com/ccfos/nightingale/v6/pushgw/writer"
-
-	"github.com/prometheus/prometheus/prompb"
 	"github.com/toolkits/pkg/logger"
 	"github.com/toolkits/pkg/str"
 )
@@ -148,10 +145,9 @@ func (p *Processor) Handle(anomalyPoints []common.AnomalyPoint, from string, inh
 		// 如果 event 被 mute 了,本质也是 fire 的状态,这里无论如何都添加到 alertingKeys 中,防止 fire 的事件自动恢复了
 		hash := event.Hash
 		alertingKeys[hash] = struct{}{}
-		isMuted, detail := mute.IsMuted(cachedRule, event, p.TargetCache, p.alertMuteCache)
-		if isMuted {
+		if mute.IsMuted(cachedRule, event, p.TargetCache, p.alertMuteCache) {
 			p.Stats.CounterMuteTotal.WithLabelValues(event.GroupName).Inc()
-			logger.Debugf("rule_eval:%s event:%v is muted, detail:%s", p.Key(), event, detail)
+			logger.Debugf("rule_eval:%s event:%v is muted", p.Key(), event)
 			continue
 		}
 
@@ -221,57 +217,9 @@ func (p *Processor) BuildEvent(anomalyPoint common.AnomalyPoint, from string, no
 	} else {
 		event.LastEvalTime = event.TriggerTime
 	}
-
-	// 生成事件之后，立马进程 relabel 处理
-	Relabel(p.rule, event)
 	return event
 }
 
-func Relabel(rule *models.AlertRule, event *models.AlertCurEvent) {
-	if rule == nil {
-		return
-	}
-
-	// need to keep the original label
-	event.OriginalTags = event.Tags
-	event.OriginalTagsJSON = make([]string, len(event.TagsJSON))
-
-	labels := make([]prompb.Label, len(event.TagsJSON))
-	for i, tag := range event.TagsJSON {
-		label := strings.Split(tag, "=")
-		if len(label) != 2 {
-			logger.Errorf("event%+v relabel: the label length is not 2:%v", event, label)
-			continue
-		}
-		event.OriginalTagsJSON[i] = tag
-		labels[i] = prompb.Label{Name: label[0], Value: label[1]}
-	}
-
-	for i := 0; i < len(rule.EventRelabelConfig); i++ {
-		if rule.EventRelabelConfig[i].Replacement == "" {
-			rule.EventRelabelConfig[i].Replacement = "$1"
-		}
-
-		if rule.EventRelabelConfig[i].Separator == "" {
-			rule.EventRelabelConfig[i].Separator = ";"
-		}
-
-		if rule.EventRelabelConfig[i].Regex == "" {
-			rule.EventRelabelConfig[i].Regex = "(.*)"
-		}
-	}
-
-	// relabel process
-	relabels := writer.Process(labels, rule.EventRelabelConfig...)
-	event.TagsJSON = make([]string, len(relabels))
-	event.TagsMap = make(map[string]string, len(relabels))
-	for i, label := range relabels {
-		event.TagsJSON[i] = fmt.Sprintf("%s=%s", label.Name, label.Value)
-		event.TagsMap[label.Name] = label.Value
-	}
-	event.Tags = strings.Join(event.TagsJSON, ",,")
-}
-
 func (p *Processor) HandleRecover(alertingKeys map[string]struct{}, now int64, inhibit bool) {
 	for _, hash := range p.pendings.Keys() {
 		if _, has := alertingKeys[hash]; has {
@@ -322,7 +270,6 @@ func (p *Processor) HandleRecoverEvent(hashArr []string, now int64, inhibit bool
 			// hash 对应的恢复事件的被抑制了，把之前的事件删除
 			p.fires.Delete(e.Hash)
 			p.pendings.Delete(e.Hash)
-			models.AlertCurEventDelByHash(p.ctx, e.Hash)
 			eventMap[event.Tags] = *event
 		}
 	}

alert/record/prom_rule.go

@@ -10,7 +10,6 @@ import (
 	"github.com/ccfos/nightingale/v6/models"
 	"github.com/ccfos/nightingale/v6/prom"
 	"github.com/ccfos/nightingale/v6/pushgw/writer"
-	"github.com/robfig/cron/v3"
 
 	"github.com/toolkits/pkg/logger"
 	"github.com/toolkits/pkg/str"
@@ -20,35 +19,19 @@ type RecordRuleContext struct {
 	datasourceId int64
 	quit         chan struct{}
 
-	scheduler   *cron.Cron
 	rule        *models.RecordingRule
 	promClients *prom.PromClientMap
 	stats       *astats.Stats
 }
 
 func NewRecordRuleContext(rule *models.RecordingRule, datasourceId int64, promClients *prom.PromClientMap, writers *writer.WritersType, stats *astats.Stats) *RecordRuleContext {
-	rrc := &RecordRuleContext{
+	return &RecordRuleContext{
 		datasourceId: datasourceId,
 		quit:         make(chan struct{}),
 		rule:         rule,
 		promClients:  promClients,
 		stats:        stats,
 	}
-
-	if rule.CronPattern == "" && rule.PromEvalInterval != 0 {
-		rule.CronPattern = fmt.Sprintf("@every %ds", rule.PromEvalInterval)
-	}
-
-	rrc.scheduler = cron.New(cron.WithSeconds())
-	_, err := rrc.scheduler.AddFunc(rule.CronPattern, func() {
-		rrc.Eval()
-	})
-
-	if err != nil {
-		logger.Errorf("add cron pattern error: %v", err)
-	}
-
-	return rrc
 }
 
 func (rrc *RecordRuleContext) Key() string {
@@ -56,9 +39,9 @@ func (rrc *RecordRuleContext) Key() string {
 }
 
 func (rrc *RecordRuleContext) Hash() string {
-	return str.MD5(fmt.Sprintf("%d_%s_%s_%d",
+	return str.MD5(fmt.Sprintf("%d_%d_%s_%d",
 		rrc.rule.Id,
-		rrc.rule.CronPattern,
+		rrc.rule.PromEvalInterval,
 		rrc.rule.PromQl,
 		rrc.datasourceId,
 	))
@@ -68,7 +51,23 @@ func (rrc *RecordRuleContext) Prepare() {}
 
 func (rrc *RecordRuleContext) Start() {
 	logger.Infof("eval:%s started", rrc.Key())
-	rrc.scheduler.Start()
+	interval := rrc.rule.PromEvalInterval
+	if interval <= 0 {
+		interval = 10
+	}
+
+	ticker := time.NewTicker(time.Duration(interval) * time.Second)
+	go func() {
+		defer ticker.Stop()
+		for {
+			select {
+			case <-rrc.quit:
+				return
+			case <-ticker.C:
+				rrc.Eval()
+			}
+		}
+	}()
 }
 
 func (rrc *RecordRuleContext) Eval() {
@@ -110,8 +109,5 @@ func (rrc *RecordRuleContext) Eval() {
 
 func (rrc *RecordRuleContext) Stop() {
 	logger.Infof("%s stopped", rrc.Key())
-
-	c := rrc.scheduler.Stop()
-	<-c.Done()
 	close(rrc.quit)
 }

alert/sender/callback.go

@@ -1,8 +1,9 @@
 package sender
 
 import (
-	"html/template"
-	"net/url"
+	"encoding/json"
+	"fmt"
+	"strconv"
 	"strings"
 	"time"
 
@@ -12,144 +13,37 @@ 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"
 )
 
-type (
-	// CallBacker 进行回调的接口
-	CallBacker interface {
-		CallBack(ctx CallBackContext)
-	}
-
-	// 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
-		BatchSend   bool
-	}
-
-	DefaultCallBacker struct{}
-)
-
-func BuildCallBackContext(ctx *ctx.Context, callBackURL string, rule *models.AlertRule, events []*models.AlertCurEvent,
-	uids []int64, userCache *memsto.UserCacheType, batchSend bool, stats *astats.Stats) CallBackContext {
-	users := userCache.GetByUserIds(uids)
-
-	newCallBackUrl, _ := events[0].ParseURL(callBackURL)
-	return CallBackContext{
-		Ctx:         ctx,
-		CallBackURL: newCallBackUrl,
-		Rule:        rule,
-		Events:      events,
-		Users:       users,
-		BatchSend:   batchSend,
-		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]}
-	case models.LarkDomain:
-		return &LarkSender{tpl: tpls[models.Lark]}
-	case models.LarkCardDomain:
-		return &LarkCardSender{tpl: tpls[models.LarkCard]}
-	}
-
-	return nil
-}
-
-func (c *DefaultCallBacker) CallBack(ctx CallBackContext) {
-	if len(ctx.CallBackURL) == 0 || len(ctx.Events) == 0 {
-		return
-	}
-
-	event := ctx.Events[0]
-
-	if ctx.BatchSend {
-		webhookConf := &models.Webhook{
-			Type:          models.RuleCallback,
-			Enable:        true,
-			Url:           ctx.CallBackURL,
-			Timeout:       5,
-			RetryCount:    3,
-			RetryInterval: 10,
-			Batch:         1000,
+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
 		}
 
-		PushCallbackEvent(webhookConf, event, ctx.Stats)
-		return
-	}
+		if strings.HasPrefix(url, "${ibex}") {
+			if !event.IsRecovered {
+				handleIbex(ctx, url, event, targetCache, userCache, taskTplCache)
+			}
+			continue
+		}
 
-	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), event:%+v, resp: %s, err: %v, code: %d",
-			event.RuleId, ctx.CallBackURL, event, string(resp), err, code)
-		ctx.Stats.AlertNotifyErrorTotal.WithLabelValues("rule_callback").Inc()
-	} else {
-		logger.Infof("event_callback_succ(rule_id=%d url=%s), event:%+v, resp: %s, code: %d",
-			event.RuleId, ctx.CallBackURL, event, string(resp), code)
-	}
-}
+		if !(strings.HasPrefix(url, "http://") || strings.HasPrefix(url, "https://")) {
+			url = "http://" + url
+		}
 
-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))
+		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)
+		}
 	}
 }
 
@@ -158,26 +52,225 @@ type TaskCreateReply struct {
 	Dat int64  `json:"dat"` // task.id
 }
 
-func PushCallbackEvent(webhook *models.Webhook, event *models.AlertCurEvent, stats *astats.Stats) {
-	CallbackEventQueueLock.RLock()
-	queue := CallbackEventQueue[webhook.Url]
-	CallbackEventQueueLock.RUnlock()
+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
+	}
 
-	if queue == nil {
-		queue = &WebhookQueue{
-			list:    NewSafeListLimited(QueueMaxSize),
-			closeCh: make(chan struct{}),
+	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
 		}
 
-		CallbackEventQueueLock.Lock()
-		CallbackEventQueue[webhook.Url] = queue
-		CallbackEventQueueLock.Unlock()
+		arr := strings.Split(pair, "=")
+		if len(arr) != 2 {
+			continue
+		}
 
-		StartConsumer(queue, webhook.Batch, webhook, stats)
+		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
 	}
 
-	succ := queue.list.PushFront(event)
-	if !succ {
-		logger.Warningf("Write channel(%s) full, current channel size: %d event:%v", webhook.Url, queue.list.Len(), event)
+	// 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

@@ -1,9 +1,15 @@
 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 {
@@ -22,10 +28,6 @@ type dingtalk struct {
 	At       dingtalkAt       `json:"at"`
 }
 
-var (
-	_ CallBacker = (*DingtalkSender)(nil)
-)
-
 type DingtalkSender struct {
 	tpl *template.Template
 }
@@ -70,37 +72,6 @@ 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))
@@ -120,3 +91,15 @@ 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

@@ -1,7 +1,6 @@
 package sender
 
 import (
-	"fmt"
 	"html/template"
 	"strings"
 
@@ -23,41 +22,10 @@ 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

@@ -3,7 +3,6 @@ package sender
 import (
 	"fmt"
 	"html/template"
-	"net/url"
 	"strings"
 
 	"github.com/ccfos/nightingale/v6/models"
@@ -92,51 +91,6 @@ var (
 	}
 )
 
-func (fs *FeishuCardSender) CallBack(ctx CallBackContext) {
-	if len(ctx.Events) == 0 || len(ctx.CallBackURL) == 0 {
-		return
-	}
-
-	ats := ExtractAtsParams(ctx.CallBackURL)
-	message := BuildTplMessage(models.FeishuCard, fs.tpl, ctx.Events)
-
-	if len(ats) > 0 {
-		atTags := ""
-		for _, at := range ats {
-			if strings.Contains(at, "@") {
-				atTags += fmt.Sprintf("<at email=\"%s\" ></at>", at)
-			} else {
-				atTags += fmt.Sprintf("<at id=\"%s\" ></at>", at)
-			}
-		}
-		message = atTags + message
-	}
-
-	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

@@ -1,265 +0,0 @@
-// @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/lark.go

@@ -1,64 +0,0 @@
-package sender
-
-import (
-	"html/template"
-	"strings"
-
-	"github.com/ccfos/nightingale/v6/models"
-)
-
-var (
-	_ CallBacker = (*LarkSender)(nil)
-)
-
-type LarkSender struct {
-	tpl *template.Template
-}
-
-func (lk *LarkSender) CallBack(ctx CallBackContext) {
-	if len(ctx.Events) == 0 || len(ctx.CallBackURL) == 0 {
-		return
-	}
-
-	body := feishu{
-		Msgtype: "text",
-		Content: feishuContent{
-			Text: BuildTplMessage(models.Lark, lk.tpl, ctx.Events),
-		},
-	}
-
-	doSend(ctx.CallBackURL, body, models.Lark, ctx.Stats)
-	ctx.Stats.AlertNotifyTotal.WithLabelValues("rule_callback").Inc()
-}
-
-func (lk *LarkSender) Send(ctx MessageContext) {
-	if len(ctx.Users) == 0 || len(ctx.Events) == 0 {
-		return
-	}
-	urls := lk.extract(ctx.Users)
-	message := BuildTplMessage(models.Lark, lk.tpl, ctx.Events)
-	for _, url := range urls {
-		body := feishu{
-			Msgtype: "text",
-			Content: feishuContent{
-				Text: message,
-			},
-		}
-		doSend(url, body, models.Lark, ctx.Stats)
-	}
-}
-
-func (lk *LarkSender) extract(users []*models.User) []string {
-	urls := make([]string, 0, len(users))
-
-	for _, user := range users {
-		if token, has := user.ExtractToken(models.Lark); has {
-			url := token
-			if !strings.HasPrefix(token, "https://") && !strings.HasPrefix(token, "http://") {
-				url = "https://open.larksuite.com/open-apis/bot/v2/hook/" + token
-			}
-			urls = append(urls, url)
-		}
-	}
-	return urls
-}

alert/sender/larkcard.go

@@ -1,98 +0,0 @@
-package sender
-
-import (
-	"fmt"
-	"html/template"
-	"net/url"
-	"strings"
-
-	"github.com/ccfos/nightingale/v6/models"
-)
-
-type LarkCardSender struct {
-	tpl *template.Template
-}
-
-func (fs *LarkCardSender) CallBack(ctx CallBackContext) {
-	if len(ctx.Events) == 0 || len(ctx.CallBackURL) == 0 {
-		return
-	}
-
-	ats := ExtractAtsParams(ctx.CallBackURL)
-	message := BuildTplMessage(models.LarkCard, fs.tpl, ctx.Events)
-
-	if len(ats) > 0 {
-		atTags := ""
-		for _, at := range ats {
-			if strings.Contains(at, "@") {
-				atTags += fmt.Sprintf("<at email=\"%s\" ></at>", at)
-			} else {
-				atTags += fmt.Sprintf("<at id=\"%s\" ></at>", at)
-			}
-		}
-		message = atTags + message
-	}
-
-	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 Larkcard 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.LarkCard, ctx.Stats)
-}
-
-func (fs *LarkCardSender) Send(ctx MessageContext) {
-	if len(ctx.Users) == 0 || len(ctx.Events) == 0 {
-		return
-	}
-	urls, _ := fs.extract(ctx.Users)
-	message := BuildTplMessage(models.LarkCard, 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
-	for _, url := range urls {
-		doSend(url, body, models.LarkCard, ctx.Stats)
-	}
-}
-
-func (fs *LarkCardSender) extract(users []*models.User) ([]string, []string) {
-	urls := make([]string, 0, len(users))
-	ats := make([]string, 0)
-	for i := range users {
-		if token, has := users[i].ExtractToken(models.Lark); has {
-			url := token
-			if !strings.HasPrefix(token, "https://") && !strings.HasPrefix(token, "http://") {
-				url = "https://open.larksuite.com/open-apis/bot/v2/hook/" + strings.TrimSpace(token)
-			}
-			urls = append(urls, url)
-		}
-	}
-	return urls, ats
-}

alert/sender/mm.go

@@ -45,21 +45,6 @@ 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/sender.go

@@ -41,10 +41,6 @@ func NewSender(key string, tpls map[string]*template.Template, smtp ...aconf.SMT
 		return &MmSender{tpl: tpls[models.Mm]}
 	case models.Telegram:
 		return &TelegramSender{tpl: tpls[models.Telegram]}
-	case models.Lark:
-		return &LarkSender{tpl: tpls[models.Lark]}
-	case models.LarkCard:
-		return &LarkCardSender{tpl: tpls[models.LarkCard]}
 	}
 	return nil
 }

alert/sender/telegram.go

@@ -21,29 +21,10 @@ 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/webhook.go

@@ -2,11 +2,9 @@ package sender
 
 import (
 	"bytes"
-	"crypto/tls"
 	"encoding/json"
 	"io"
 	"net/http"
-	"sync"
 	"time"
 
 	"github.com/ccfos/nightingale/v6/alert/astats"
@@ -15,159 +13,59 @@ import (
 	"github.com/toolkits/pkg/logger"
 )
 
-func sendWebhook(webhook *models.Webhook, event interface{}, stats *astats.Stats) bool {
-	channel := "webhook"
-	if webhook.Type == models.RuleCallback {
-		channel = "callback"
-	}
-
-	conf := webhook
-	if conf.Url == "" || !conf.Enable {
-		return false
-	}
-	bs, err := json.Marshal(event)
-	if err != nil {
-		logger.Errorf("%s alertingWebhook failed to marshal event:%+v err:%v", channel, event, err)
-		return false
-	}
-
-	bf := bytes.NewBuffer(bs)
-
-	req, err := http.NewRequest("POST", conf.Url, bf)
-	if err != nil {
-		logger.Warningf("%s alertingWebhook failed to new reques event:%s err:%v", channel, string(bs), err)
-		return true
-	}
-
-	req.Header.Set("Content-Type", "application/json")
-	if conf.BasicAuthUser != "" && conf.BasicAuthPass != "" {
-		req.SetBasicAuth(conf.BasicAuthUser, conf.BasicAuthPass)
-	}
-
-	if len(conf.Headers) > 0 && len(conf.Headers)%2 == 0 {
-		for i := 0; i < len(conf.Headers); i += 2 {
-			if conf.Headers[i] == "host" || conf.Headers[i] == "Host" {
-				req.Host = conf.Headers[i+1]
-				continue
-			}
-			req.Header.Set(conf.Headers[i], conf.Headers[i+1])
-		}
-	}
-	insecureSkipVerify := false
-	if webhook != nil {
-		insecureSkipVerify = webhook.SkipVerify
-	}
-	client := http.Client{
-		Timeout: time.Duration(conf.Timeout) * time.Second,
-		Transport: &http.Transport{
-			TLSClientConfig: &tls.Config{InsecureSkipVerify: insecureSkipVerify},
-		},
-	}
-
-	stats.AlertNotifyTotal.WithLabelValues(channel).Inc()
-	var resp *http.Response
-	resp, err = client.Do(req)
-	if err != nil {
-		stats.AlertNotifyErrorTotal.WithLabelValues(channel).Inc()
-		logger.Errorf("event_%s_fail, event:%s, url: [%s], error: [%s]", channel, string(bs), conf.Url, err)
-		return true
-	}
-
-	var body []byte
-	if resp.Body != nil {
-		defer resp.Body.Close()
-		body, _ = io.ReadAll(resp.Body)
-	}
-
-	if resp.StatusCode == 429 {
-		logger.Errorf("event_%s_fail, url: %s, response code: %d, body: %s event:%s", channel, conf.Url, resp.StatusCode, string(body), string(bs))
-		return true
-	}
-
-	logger.Debugf("event_%s_succ, url: %s, response code: %d, body: %s event:%s", channel, conf.Url, resp.StatusCode, string(body), string(bs))
-	return false
-}
-
-func SingleSendWebhooks(webhooks []*models.Webhook, event *models.AlertCurEvent, stats *astats.Stats) {
+func SendWebhooks(webhooks []*models.Webhook, event *models.AlertCurEvent, stats *astats.Stats) {
 	for _, conf := range webhooks {
-		retryCount := 0
-		for retryCount < 3 {
-			needRetry := sendWebhook(conf, event, stats)
-			if !needRetry {
-				break
-			}
-			retryCount++
-			time.Sleep(time.Minute * 1 * time.Duration(retryCount))
+		if conf.Url == "" || !conf.Enable {
+			continue
 		}
-	}
-}
-
-func BatchSendWebhooks(webhooks []*models.Webhook, event *models.AlertCurEvent, stats *astats.Stats) {
-	for _, conf := range webhooks {
-		logger.Infof("push event:%+v to queue:%v", event, conf)
-		PushEvent(conf, event, stats)
-	}
-}
-
-var EventQueue = make(map[string]*WebhookQueue)
-var CallbackEventQueue = make(map[string]*WebhookQueue)
-var CallbackEventQueueLock sync.RWMutex
-var EventQueueLock sync.RWMutex
-
-const QueueMaxSize = 100000
-
-type WebhookQueue struct {
-	list    *SafeListLimited
-	closeCh chan struct{}
-}
-
-func PushEvent(webhook *models.Webhook, event *models.AlertCurEvent, stats *astats.Stats) {
-	EventQueueLock.RLock()
-	queue := EventQueue[webhook.Url]
-	EventQueueLock.RUnlock()
-
-	if queue == nil {
-		queue = &WebhookQueue{
-			list:    NewSafeListLimited(QueueMaxSize),
-			closeCh: make(chan struct{}),
+		bs, err := json.Marshal(event)
+		if err != nil {
+			continue
 		}
 
-		EventQueueLock.Lock()
-		EventQueue[webhook.Url] = queue
-		EventQueueLock.Unlock()
+		bf := bytes.NewBuffer(bs)
 
-		StartConsumer(queue, webhook.Batch, webhook, stats)
-	}
+		req, err := http.NewRequest("POST", conf.Url, bf)
+		if err != nil {
+			logger.Warning("alertingWebhook failed to new request", err)
+			continue
+		}
 
-	succ := queue.list.PushFront(event)
-	if !succ {
-		stats.AlertNotifyErrorTotal.WithLabelValues("push_event_queue").Inc()
-		logger.Warningf("Write channel(%s) full, current channel size: %d event:%v", webhook.Url, queue.list.Len(), event)
-	}
-}
+		req.Header.Set("Content-Type", "application/json")
+		if conf.BasicAuthUser != "" && conf.BasicAuthPass != "" {
+			req.SetBasicAuth(conf.BasicAuthUser, conf.BasicAuthPass)
+		}
 
-func StartConsumer(queue *WebhookQueue, popSize int, webhook *models.Webhook, stats *astats.Stats) {
-	for {
-		select {
-		case <-queue.closeCh:
-			logger.Infof("event queue:%v closed", queue)
-			return
-		default:
-			events := queue.list.PopBack(popSize)
-			if len(events) == 0 {
-				time.Sleep(time.Millisecond * 400)
-				continue
-			}
-
-			retryCount := 0
-			for retryCount < webhook.RetryCount {
-				needRetry := sendWebhook(webhook, events, stats)
-				if !needRetry {
-					break
+		if len(conf.Headers) > 0 && len(conf.Headers)%2 == 0 {
+			for i := 0; i < len(conf.Headers); i += 2 {
+				if conf.Headers[i] == "host" || conf.Headers[i] == "Host" {
+					req.Host = conf.Headers[i+1]
+					continue
 				}
-				retryCount++
-				time.Sleep(time.Second * time.Duration(webhook.RetryInterval) * time.Duration(retryCount))
+				req.Header.Set(conf.Headers[i], conf.Headers[i+1])
 			}
 		}
+
+		// todo add skip verify
+		client := http.Client{
+			Timeout: time.Duration(conf.Timeout) * time.Second,
+		}
+
+		stats.AlertNotifyTotal.WithLabelValues("webhook").Inc()
+		var resp *http.Response
+		resp, err = client.Do(req)
+		if err != nil {
+			stats.AlertNotifyErrorTotal.WithLabelValues("webhook").Inc()
+			logger.Errorf("event_webhook_fail, ruleId: [%d], eventId: [%d], url: [%s], error: [%s]", event.RuleId, event.Id, conf.Url, err)
+			continue
+		}
+
+		var body []byte
+		if resp.Body != nil {
+			defer resp.Body.Close()
+			body, _ = io.ReadAll(resp.Body)
+		}
+
+		logger.Debugf("event_webhook_succ, url: %s, response code: %d, body: %s event:%+v", conf.Url, resp.StatusCode, string(body), event)
 	}
 }

alert/sender/webhook_queue.go

@@ -1,111 +0,0 @@
-package sender
-
-import (
-	"container/list"
-	"sync"
-
-	"github.com/ccfos/nightingale/v6/models"
-)
-
-type SafeList struct {
-	sync.RWMutex
-	L *list.List
-}
-
-func NewSafeList() *SafeList {
-	return &SafeList{L: list.New()}
-}
-
-func (sl *SafeList) PushFront(v interface{}) *list.Element {
-	sl.Lock()
-	e := sl.L.PushFront(v)
-	sl.Unlock()
-	return e
-}
-
-func (sl *SafeList) PushFrontBatch(vs []interface{}) {
-	sl.Lock()
-	for _, item := range vs {
-		sl.L.PushFront(item)
-	}
-	sl.Unlock()
-}
-
-func (sl *SafeList) PopBack(max int) []*models.AlertCurEvent {
-	sl.Lock()
-
-	count := sl.L.Len()
-	if count == 0 {
-		sl.Unlock()
-		return []*models.AlertCurEvent{}
-	}
-
-	if count > max {
-		count = max
-	}
-
-	items := make([]*models.AlertCurEvent, 0, count)
-	for i := 0; i < count; i++ {
-		item := sl.L.Remove(sl.L.Back())
-		sample, ok := item.(*models.AlertCurEvent)
-		if ok {
-			items = append(items, sample)
-		}
-	}
-
-	sl.Unlock()
-	return items
-}
-
-func (sl *SafeList) RemoveAll() {
-	sl.Lock()
-	sl.L.Init()
-	sl.Unlock()
-}
-
-func (sl *SafeList) Len() int {
-	sl.RLock()
-	size := sl.L.Len()
-	sl.RUnlock()
-	return size
-}
-
-// SafeList with Limited Size
-type SafeListLimited struct {
-	maxSize int
-	SL      *SafeList
-}
-
-func NewSafeListLimited(maxSize int) *SafeListLimited {
-	return &SafeListLimited{SL: NewSafeList(), maxSize: maxSize}
-}
-
-func (sll *SafeListLimited) PopBack(max int) []*models.AlertCurEvent {
-	return sll.SL.PopBack(max)
-}
-
-func (sll *SafeListLimited) PushFront(v interface{}) bool {
-	if sll.SL.Len() >= sll.maxSize {
-		return false
-	}
-
-	sll.SL.PushFront(v)
-	return true
-}
-
-func (sll *SafeListLimited) PushFrontBatch(vs []interface{}) bool {
-	if sll.SL.Len() >= sll.maxSize {
-		return false
-	}
-
-	sll.SL.PushFrontBatch(vs)
-	return true
-}
-
-func (sll *SafeListLimited) RemoveAll() {
-	sll.SL.RemoveAll()
-}
-
-func (sll *SafeListLimited) Len() int {
-	return sll.SL.Len()
-}

alert/sender/wecom.go

@@ -16,31 +16,10 @@ 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

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

center/cconf/metric.go

@@ -18,28 +18,20 @@ var MetricDesc MetricDescType
 // GetMetricDesc , if metric is not registered, empty string will be returned
 func GetMetricDesc(lang, metric string) string {
 	var m map[string]string
-
-	switch lang {
-	case "en":
-		m = MetricDesc.En
-	default:
+	if lang == "zh" {
 		m = MetricDesc.Zh
+	} else {
+		m = MetricDesc.En
 	}
-
 	if m != nil {
-		if desc, ok := m[metric]; ok {
+		if desc, has := m[metric]; has {
 			return desc
 		}
 	}
 
-	if MetricDesc.CommonDesc != nil {
-		if desc, ok := MetricDesc.CommonDesc[metric]; ok {
-			return desc
-		}
-	}
-
-	return ""
+	return MetricDesc.CommonDesc[metric]
 }
+
 func LoadMetricsYaml(configDir, metricsYamlFile string) error {
 	fp := metricsYamlFile
 	if fp == "" {

center/cconf/ops.go

@@ -76,9 +76,6 @@ ops:
     - "/dashboards/add"
     - "/dashboards/put"
     - "/dashboards/del"
-    - "/embedded-dashboards/put"
-    - "/embedded-dashboards"
-    - "/public-dashboards"
 
 - name: alert
   cname: 告警规则

center/center.go

@@ -107,7 +107,7 @@ func Initialize(configDir string, cryptoKey string) (func(), error) {
 	go version.GetGithubVersion()
 
 	alertrtRouter := alertrt.New(config.HTTP, config.Alert, alertMuteCache, targetCache, busiGroupCache, alertStats, ctx, externalProcessors)
-	centerRouter := centerrt.New(config.HTTP, config.Center, config.Alert, config.Ibex, cconf.Operations, dsCache, notifyConfigCache, promClients, tdengineClients,
+	centerRouter := centerrt.New(config.HTTP, config.Center, config.Alert, cconf.Operations, dsCache, notifyConfigCache, promClients, tdengineClients,
 		redis, sso, ctx, metas, idents, targetCache, userCache, userGroupCache)
 	pushgwRouter := pushgwrt.New(config.HTTP, config.Pushgw, config.Alert, targetCache, busiGroupCache, idents, metas, writers, ctx)
 

center/integration/init.go

@@ -4,17 +4,15 @@ 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 == "" {
@@ -23,10 +21,7 @@ func Init(ctx *ctx.Context, builtinIntegrationsDir string) {
 
 	// var fileList []string
 	dirList, err := file.DirsUnder(fp)
-	if err != nil {
-		logger.Warning("read builtin component dir fail ", err)
-		return
-	}
+	ginx.Dangerous(err)
 
 	for _, dir := range dirList {
 		// components icon
@@ -63,47 +58,11 @@ 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
@@ -124,15 +83,7 @@ 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)
@@ -147,47 +98,24 @@ func Init(ctx *ctx.Context, builtinIntegrationsDir string) {
 						Name:      alert.Name,
 						Tags:      alert.AppendTags,
 						Content:   string(content),
-						UUID:      alert.UUID,
 					}
 
-					old, err := models.BuiltinPayloadGet(ctx, "uuid = ?", alert.UUID)
+					exists, err := models.BuiltinPayloadExists(ctx, &builtinAlert)
 					if err != nil {
-						logger.Warning("get builtin alert fail ", builtinAlert, err)
+						logger.Warning("check builtin alert exists fail ", builtinAlert, err)
 						continue
 					}
 
-					if old == nil {
-						err := builtinAlert.Add(ctx, SYSTEM)
-						if err != nil {
-							logger.Warning("add builtin alert fail ", builtinAlert, err)
-						}
+					if exists {
 						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)
-						}
+					err = builtinAlert.Add(ctx, "system")
+					if err != nil {
+						logger.Warningf("add builtin alert:%+v fail %v", builtinAlert, err)
+						continue
 					}
 				}
-
-				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)
-					}
-				}
-
 			}
 		}
 
@@ -209,21 +137,6 @@ 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)
@@ -237,31 +150,22 @@ func Init(ctx *ctx.Context, builtinIntegrationsDir string) {
 					Name:      dashboard.Name,
 					Tags:      dashboard.Tags,
 					Content:   string(content),
-					UUID:      dashboard.UUID,
 				}
 
-				old, err := models.BuiltinPayloadGet(ctx, "uuid = ?", dashboard.UUID)
+				exists, err := models.BuiltinPayloadExists(ctx, &builtinDashboard)
 				if err != nil {
-					logger.Warning("get builtin alert fail ", builtinDashboard, err)
+					logger.Warning("check builtin dashboard exists fail ", builtinDashboard, err)
 					continue
 				}
 
-				if old == nil {
-					err := builtinDashboard.Add(ctx, SYSTEM)
-					if err != nil {
-						logger.Warning("add builtin alert fail ", builtinDashboard, err)
-					}
+				if exists {
 					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)
-					}
+				err = builtinDashboard.Add(ctx, "system")
+				if err != nil {
+					logger.Warning("add builtin dashboard fail ", builtinDashboard, err)
+					continue
 				}
 			}
 		} else if err != nil {
@@ -280,64 +184,27 @@ 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 {
-					if metric.UUID == 0 {
-						writeMetricFileFlag = true
-						metric.UUID = time.Now().UnixNano()
-					}
-					newMetrics = append(newMetrics, metric)
-
-					old, err := models.BuiltinMetricGet(ctx, "uuid = ?", metric.UUID)
+					exists, err := models.BuiltinMetricExists(ctx, &metric)
 					if err != nil {
-						logger.Warning("get builtin metrics fail ", metric, err)
+						logger.Warning("check builtin metric exists fail", metric, err)
 						continue
 					}
-
-					if old == nil {
-						err := metric.Add(ctx, SYSTEM)
-						if err != nil {
-							logger.Warning("add builtin metrics fail ", metric, err)
-						}
+					if exists {
 						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)
-						}
+					err = metric.Add(ctx, "system")
+					if err != nil {
+						logger.Warning("add builtin metric fail", metric, err)
+						continue
 					}
 				}
-
-				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)
@@ -361,5 +228,4 @@ 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

@@ -13,7 +13,6 @@ import (
 	"github.com/ccfos/nightingale/v6/center/cstats"
 	"github.com/ccfos/nightingale/v6/center/metas"
 	"github.com/ccfos/nightingale/v6/center/sso"
-	"github.com/ccfos/nightingale/v6/conf"
 	_ "github.com/ccfos/nightingale/v6/front/statik"
 	"github.com/ccfos/nightingale/v6/memsto"
 	"github.com/ccfos/nightingale/v6/pkg/aop"
@@ -35,7 +34,6 @@ import (
 type Router struct {
 	HTTP              httpx.Config
 	Center            cconf.Center
-	Ibex              conf.Ibex
 	Alert             aconf.Alert
 	Operations        cconf.Operation
 	DatasourceCache   *memsto.DatasourceCacheType
@@ -50,15 +48,13 @@ type Router struct {
 	UserCache         *memsto.UserCacheType
 	UserGroupCache    *memsto.UserGroupCacheType
 	Ctx               *ctx.Context
-	HeartbeatHook     HeartbeatHookFunc
 }
 
-func New(httpConfig httpx.Config, center cconf.Center, alert aconf.Alert, ibex conf.Ibex, operations cconf.Operation, ds *memsto.DatasourceCacheType, ncc *memsto.NotifyConfigCacheType, pc *prom.PromClientMap, tdendgineClients *tdengine.TdengineClientMap, redis storage.Redis, sso *sso.SsoClient, ctx *ctx.Context, metaSet *metas.Set, idents *idents.Set, tc *memsto.TargetCacheType, uc *memsto.UserCacheType, ugc *memsto.UserGroupCacheType) *Router {
+func New(httpConfig httpx.Config, center cconf.Center, alert aconf.Alert, operations cconf.Operation, ds *memsto.DatasourceCacheType, ncc *memsto.NotifyConfigCacheType, pc *prom.PromClientMap, tdendgineClients *tdengine.TdengineClientMap, redis storage.Redis, sso *sso.SsoClient, ctx *ctx.Context, metaSet *metas.Set, idents *idents.Set, tc *memsto.TargetCacheType, uc *memsto.UserCacheType, ugc *memsto.UserGroupCacheType) *Router {
 	return &Router{
 		HTTP:              httpConfig,
 		Center:            center,
 		Alert:             alert,
-		Ibex:              ibex,
 		Operations:        operations,
 		DatasourceCache:   ds,
 		NotifyConfigCache: ncc,
@@ -72,7 +68,6 @@ func New(httpConfig httpx.Config, center cconf.Center, alert aconf.Alert, ibex c
 		UserCache:         uc,
 		UserGroupCache:    ugc,
 		Ctx:               ctx,
-		HeartbeatHook:     func(ident string) map[string]interface{} { return nil },
 	}
 }
 
@@ -96,9 +91,7 @@ func languageDetector(i18NHeaderKey string) gin.HandlerFunc {
 		if headerKey != "" {
 			lang := c.GetHeader(headerKey)
 			if lang != "" {
-				if strings.HasPrefix(lang, "zh_HK") {
-					c.Request.Header.Set("X-Language", "zh_HK")
-				} else if strings.HasPrefix(lang, "zh") {
+				if strings.HasPrefix(lang, "zh") {
 					c.Request.Header.Set("X-Language", "zh_CN")
 				} else if strings.HasPrefix(lang, "en") {
 					c.Request.Header.Set("X-Language", "en")
@@ -119,7 +112,7 @@ func (rt *Router) configNoRoute(r *gin.Engine, fs *http.FileSystem) {
 		suffix := arr[len(arr)-1]
 
 		switch suffix {
-		case "png", "jpeg", "jpg", "svg", "ico", "gif", "css", "js", "html", "htm", "gz", "zip", "map", "ttf", "md":
+		case "png", "jpeg", "jpg", "svg", "ico", "gif", "css", "js", "html", "htm", "gz", "zip", "map", "ttf":
 			if !rt.Center.UseFileAssets {
 				c.FileFromFS(c.Request.URL.Path, *fs)
 			} else {
@@ -319,9 +312,7 @@ func (rt *Router) Config(r *gin.Engine) {
 		pages.PUT("/busi-group/:id/alert-rules/fields", rt.auth(), rt.user(), rt.perm("/alert-rules/put"), rt.bgrw(), rt.alertRulePutFields)
 		pages.PUT("/busi-group/:id/alert-rule/:arid", rt.auth(), rt.user(), rt.perm("/alert-rules/put"), rt.alertRulePutByFE)
 		pages.GET("/alert-rule/:arid", rt.auth(), rt.user(), rt.perm("/alert-rules"), rt.alertRuleGet)
-		pages.GET("/alert-rule/:arid/pure", rt.auth(), rt.user(), rt.perm("/alert-rules"), rt.alertRulePureGet)
 		pages.PUT("/busi-group/alert-rule/validate", rt.auth(), rt.user(), rt.perm("/alert-rules/put"), rt.alertRuleValidation)
-		pages.POST("/relabel-test", rt.auth(), rt.user(), rt.relabelTest)
 
 		pages.GET("/busi-groups/recording-rules", rt.auth(), rt.user(), rt.perm("/recording-rules"), rt.recordingRuleGetsByGids)
 		pages.GET("/busi-group/:id/recording-rules", rt.auth(), rt.user(), rt.perm("/recording-rules"), rt.recordingRuleGets)
@@ -351,15 +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.user(), rt.alertCurEventGet)
-			pages.GET("/alert-his-event/:eid", rt.auth(), rt.user(), rt.alertHisEventGet)
+			pages.GET("/alert-cur-event/:eid", rt.auth(), rt.alertCurEventGet)
+			pages.GET("/alert-his-event/:eid", rt.auth(), rt.alertHisEventGet)
 		}
 
 		// card logic
-		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.GET("/alert-cur-events/list", rt.auth(), rt.alertCurEventsList)
+		pages.GET("/alert-cur-events/card", rt.auth(), rt.alertCurEventsCard)
 		pages.POST("/alert-cur-events/card/details", rt.auth(), rt.alertCurEventsCardDetails)
-		pages.GET("/alert-his-events/list", rt.auth(), rt.user(), rt.alertHisEventsList)
+		pages.GET("/alert-his-events/list", rt.auth(), 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)
 
@@ -381,8 +372,8 @@ func (rt *Router) Config(r *gin.Engine) {
 		pages.GET("/busi-group/:id/tasks", rt.auth(), rt.user(), rt.perm("/job-tasks"), rt.bgro(), rt.taskGets)
 		pages.POST("/busi-group/:id/tasks", rt.auth(), rt.user(), rt.perm("/job-tasks/add"), rt.bgrw(), rt.taskAdd)
 
-		pages.GET("/servers", rt.auth(), rt.user(), rt.serversGet)
-		pages.GET("/server-clusters", rt.auth(), rt.user(), rt.serverClustersGet)
+		pages.GET("/servers", rt.auth(), rt.user(), rt.perm("/help/servers"), rt.serversGet)
+		pages.GET("/server-clusters", rt.auth(), rt.user(), rt.perm("/help/servers"), rt.serverClustersGet)
 
 		pages.POST("/datasource/list", rt.auth(), rt.user(), rt.datasourceList)
 		pages.POST("/datasource/plugin/list", rt.auth(), rt.pluginList)
@@ -432,9 +423,6 @@ func (rt *Router) Config(r *gin.Engine) {
 		pages.PUT("/es-index-pattern", rt.auth(), rt.admin(), rt.esIndexPatternPut)
 		pages.DELETE("/es-index-pattern", rt.auth(), rt.admin(), rt.esIndexPatternDel)
 
-		pages.GET("/embedded-dashboards", rt.auth(), rt.user(), rt.perm("/embedded-dashboards"), rt.embeddedDashboardsGet)
-		pages.PUT("/embedded-dashboards", rt.auth(), rt.user(), rt.perm("/embedded-dashboards/put"), rt.embeddedDashboardsPut)
-
 		pages.GET("/user-variable-configs", rt.auth(), rt.user(), rt.perm("/help/variable-configs"), rt.userVariableConfigGets)
 		pages.POST("/user-variable-config", rt.auth(), rt.user(), rt.perm("/help/variable-configs"), rt.userVariableConfigAdd)
 		pages.PUT("/user-variable-config/:id", rt.auth(), rt.user(), rt.perm("/help/variable-configs"), rt.userVariableConfigPut)

center/router/router_alert_cur_event.go

@@ -43,6 +43,7 @@ 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)
 
@@ -61,11 +62,8 @@ 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, bgids, stime, etime, severity, dsIds, cates, query, 50000, 0)
+	list, err := models.AlertCurEventGets(rt.Ctx, prods, busiGroupId, stime, etime, severity, dsIds, cates, query, 50000, 0)
 	ginx.Dangerous(err)
 
 	cardmap := make(map[string]*AlertCard)
@@ -144,6 +142,7 @@ 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", "")
@@ -162,13 +161,10 @@ func (rt *Router) alertCurEventsList(c *gin.Context) {
 		cates = strings.Split(cate, ",")
 	}
 
-	bgids, err := GetBusinessGroupIds(c, rt.Ctx, rt.Center.EventHistoryGroupView)
+	total, err := models.AlertCurEventTotal(rt.Ctx, prods, busiGroupId, stime, etime, severity, dsIds, cates, query)
 	ginx.Dangerous(err)
 
-	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))
+	list, err := models.AlertCurEventGets(rt.Ctx, prods, busiGroupId, stime, etime, severity, dsIds, cates, query, limit, ginx.Offset(c, limit))
 	ginx.Dangerous(err)
 
 	cache := make(map[int64]*models.UserGroup)
@@ -218,10 +214,6 @@ 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

@@ -1,16 +1,13 @@
 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) {
@@ -36,6 +33,7 @@ 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", "")
@@ -54,13 +52,10 @@ func (rt *Router) alertHisEventsList(c *gin.Context) {
 		cates = strings.Split(cate, ",")
 	}
 
-	bgids, err := GetBusinessGroupIds(c, rt.Ctx, rt.Center.EventHistoryGroupView)
+	total, err := models.AlertHisEventTotal(rt.Ctx, prods, busiGroupId, stime, etime, severity, recovered, dsIds, cates, query)
 	ginx.Dangerous(err)
 
-	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))
+	list, err := models.AlertHisEventGets(rt.Ctx, prods, busiGroupId, stime, etime, severity, recovered, dsIds, cates, query, limit, ginx.Offset(c, limit))
 	ginx.Dangerous(err)
 
 	cache := make(map[int64]*models.UserGroup)
@@ -83,50 +78,5 @@ 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

@@ -1,18 +1,14 @@
 package router
 
 import (
-	"fmt"
 	"net/http"
 	"strconv"
 	"strings"
 	"time"
 
 	"github.com/ccfos/nightingale/v6/models"
-	"github.com/ccfos/nightingale/v6/pushgw/pconf"
-	"github.com/ccfos/nightingale/v6/pushgw/writer"
 
 	"github.com/gin-gonic/gin"
-	"github.com/prometheus/prometheus/prompb"
 	"github.com/toolkits/pkg/ginx"
 	"github.com/toolkits/pkg/i18n"
 	"github.com/toolkits/pkg/str"
@@ -46,7 +42,7 @@ func (rt *Router) alertRuleGetsByGids(c *gin.Context) {
 			ginx.Dangerous(err)
 
 			if len(gids) == 0 {
-				ginx.NewRender(c).Data([]int{}, nil)
+				ginx.Bomb(http.StatusForbidden, "forbidden")
 				return
 			}
 		}
@@ -320,20 +316,6 @@ func (rt *Router) alertRuleGet(c *gin.Context) {
 	ginx.NewRender(c).Data(ar, err)
 }
 
-func (rt *Router) alertRulePureGet(c *gin.Context) {
-	arid := ginx.UrlParamInt64(c, "arid")
-
-	ar, err := models.AlertRuleGetById(rt.Ctx, arid)
-	ginx.Dangerous(err)
-
-	if ar == nil {
-		ginx.NewRender(c, http.StatusNotFound).Message("No such AlertRule")
-		return
-	}
-
-	ginx.NewRender(c).Data(ar, err)
-}
-
 // pre validation before save rule
 func (rt *Router) alertRuleValidation(c *gin.Context) {
 	var f models.AlertRule //new
@@ -406,50 +388,3 @@ func (rt *Router) alertRuleCallbacks(c *gin.Context) {
 
 	ginx.NewRender(c).Data(callbacks, nil)
 }
-
-type alertRuleTestForm struct {
-	Configs []*pconf.RelabelConfig `json:"configs"`
-	Tags    []string               `json:"tags"`
-}
-
-func (rt *Router) relabelTest(c *gin.Context) {
-	var f alertRuleTestForm
-	ginx.BindJSON(c, &f)
-
-	if len(f.Tags) == 0 || len(f.Configs) == 0 {
-		ginx.Bomb(http.StatusBadRequest, "relabel config is empty")
-	}
-
-	labels := make([]prompb.Label, len(f.Tags))
-	for i, tag := range f.Tags {
-		label := strings.Split(tag, "=")
-		if len(label) != 2 {
-			ginx.Bomb(http.StatusBadRequest, "tag:%s format error", tag)
-		}
-
-		labels[i] = prompb.Label{Name: label[0], Value: label[1]}
-	}
-
-	for i := 0; i < len(f.Configs); i++ {
-		if f.Configs[i].Replacement == "" {
-			f.Configs[i].Replacement = "$1"
-		}
-
-		if f.Configs[i].Separator == "" {
-			f.Configs[i].Separator = ";"
-		}
-
-		if f.Configs[i].Regex == "" {
-			f.Configs[i].Regex = "(.*)"
-		}
-	}
-
-	relabels := writer.Process(labels, f.Configs...)
-
-	var tags []string
-	for _, label := range relabels {
-		tags = append(tags, fmt.Sprintf("%s=%s", label.Name, label.Value))
-	}
-
-	ginx.NewRender(c).Data(tags, nil)
-}

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.NewRender(c).Data([]int{}, nil)
+				ginx.Bomb(http.StatusForbidden, "forbidden")
 				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.NewRender(c).Data([]int{}, nil)
+				ginx.Bomb(http.StatusForbidden, "forbidden")
 				return
 			}
 		}

center/router/router_builtin_metrics.go

@@ -2,13 +2,11 @@ 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
@@ -29,9 +27,8 @@ 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] = i18n.Sprintf(c.GetHeader("X-Language"), err.Error())
+			reterr[lst[i].Name] = err.Error()
 		}
 	}
 	ginx.NewRender(c).Data(reterr, nil)

center/router/router_builtin_payload.go

@@ -4,19 +4,16 @@ 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) {
@@ -41,10 +38,6 @@ func (rt *Router) builtinPayloadsAdd(c *gin.Context) {
 				}
 
 				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()
@@ -57,14 +50,13 @@ func (rt *Router) builtinPayloadsAdd(c *gin.Context) {
 						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())
+						reterr[bp.Name] = err.Error()
 					}
 				}
 				continue
@@ -76,24 +68,19 @@ func (rt *Router) builtinPayloadsAdd(c *gin.Context) {
 				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())
+				reterr[bp.Name] = err.Error()
 			}
 		} else if lst[i].Type == "dashboard" {
 			if strings.HasPrefix(strings.TrimSpace(lst[i].Content), "[") {
@@ -104,10 +91,6 @@ func (rt *Router) builtinPayloadsAdd(c *gin.Context) {
 				}
 
 				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()
@@ -120,14 +103,13 @@ func (rt *Router) builtinPayloadsAdd(c *gin.Context) {
 						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())
+						reterr[bp.Name] = err.Error()
 					}
 				}
 				continue
@@ -135,32 +117,27 @@ func (rt *Router) builtinPayloadsAdd(c *gin.Context) {
 
 			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())
+				reterr[lst[i].Name] = err.Error()
 				continue
 			}
 
-			if dashboard.UUID == 0 {
-				dashboard.UUID = time.Now().UnixNano()
-			}
-
 			bp := models.BuiltinPayload{
 				Type:      lst[i].Type,
 				Component: lst[i].Component,
 				Cate:      lst[i].Cate,
 				Name:      dashboard.Name,
 				Tags:      dashboard.Tags,
-				UUID:      dashboard.UUID,
 				Content:   lst[i].Content,
 				CreatedBy: username,
 				UpdatedBy: username,
 			}
 
 			if err := bp.Add(rt.Ctx, username); err != nil {
-				reterr[bp.Name] = i18n.Sprintf(c.GetHeader("X-Language"), err.Error())
+				reterr[bp.Name] = 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())
+				reterr[lst[i].Name] = err.Error()
 			}
 		}
 

center/router/router_configs.go

@@ -1,16 +1,13 @@
 package router
 
 import (
-	"time"
-
 	"github.com/ccfos/nightingale/v6/models"
+	"time"
 
 	"github.com/gin-gonic/gin"
 	"github.com/toolkits/pkg/ginx"
 )
 
-const EMBEDDEDDASHBOARD = "embedded-dashboards"
-
 func (rt *Router) configsGet(c *gin.Context) {
 	prefix := ginx.QueryStr(c, "prefix", "")
 	limit := ginx.QueryInt(c, "limit", 10)
@@ -36,18 +33,6 @@ func (rt *Router) configPutByKey(c *gin.Context) {
 	ginx.NewRender(c).Message(models.ConfigsSetWithUname(rt.Ctx, f.Ckey, f.Cval, username))
 }
 
-func (rt *Router) embeddedDashboardsGet(c *gin.Context) {
-	config, err := models.ConfigsGet(rt.Ctx, EMBEDDEDDASHBOARD)
-	ginx.NewRender(c).Data(config, err)
-}
-
-func (rt *Router) embeddedDashboardsPut(c *gin.Context) {
-	var f models.Configs
-	ginx.BindJSON(c, &f)
-	username := c.MustGet("username").(string)
-	ginx.NewRender(c).Message(models.ConfigsSetWithUname(rt.Ctx, EMBEDDEDDASHBOARD, f.Cval, username))
-}
-
 func (rt *Router) configsDel(c *gin.Context) {
 	var f idsForm
 	ginx.BindJSON(c, &f)

center/router/router_heartbeat.go

@@ -3,33 +3,19 @@ package router
 import (
 	"compress/gzip"
 	"encoding/json"
-	"fmt"
 	"io/ioutil"
+	"sort"
 	"strings"
 	"time"
 
-	"github.com/ccfos/nightingale/v6/center/metas"
-	"github.com/ccfos/nightingale/v6/memsto"
 	"github.com/ccfos/nightingale/v6/models"
-	"github.com/ccfos/nightingale/v6/pkg/ctx"
-	"github.com/ccfos/nightingale/v6/pushgw/idents"
 
 	"github.com/gin-gonic/gin"
 	"github.com/toolkits/pkg/ginx"
 	"github.com/toolkits/pkg/logger"
 )
 
-type HeartbeatHookFunc func(ident string) map[string]interface{}
-
 func (rt *Router) heartbeat(c *gin.Context) {
-	req, err := HandleHeartbeat(c, rt.Ctx, rt.Alert.Heartbeat.EngineName, rt.MetaSet, rt.IdentSet, rt.TargetCache)
-	ginx.Dangerous(err)
-
-	m := rt.HeartbeatHook(req.Hostname)
-	ginx.NewRender(c).Data(m, err)
-}
-
-func HandleHeartbeat(c *gin.Context, ctx *ctx.Context, engineName string, metaSet *metas.Set, identSet *idents.Set, targetCache *memsto.TargetCacheType) (models.HostMeta, error) {
 	var bs []byte
 	var err error
 	var r *gzip.Reader
@@ -38,7 +24,7 @@ func HandleHeartbeat(c *gin.Context, ctx *ctx.Context, engineName string, metaSe
 		r, err = gzip.NewReader(c.Request.Body)
 		if err != nil {
 			c.String(400, err.Error())
-			return req, err
+			return
 		}
 		defer r.Close()
 		bs, err = ioutil.ReadAll(r)
@@ -46,19 +32,11 @@ func HandleHeartbeat(c *gin.Context, ctx *ctx.Context, engineName string, metaSe
 	} else {
 		defer c.Request.Body.Close()
 		bs, err = ioutil.ReadAll(c.Request.Body)
-		if err != nil {
-			return req, err
-		}
+		ginx.Dangerous(err)
 	}
 
 	err = json.Unmarshal(bs, &req)
-	if err != nil {
-		return req, err
-	}
-
-	if req.Hostname == "" {
-		return req, fmt.Errorf("hostname is required", 400)
-	}
+	ginx.Dangerous(err)
 
 	// maybe from pushgw
 	if req.Offset == 0 {
@@ -70,65 +48,51 @@ func HandleHeartbeat(c *gin.Context, ctx *ctx.Context, engineName string, metaSe
 	}
 
 	if req.EngineName == "" {
-		req.EngineName = engineName
+		req.EngineName = rt.Alert.Heartbeat.EngineName
 	}
 
-	metaSet.Set(req.Hostname, req)
+	rt.MetaSet.Set(req.Hostname, req)
 	var items = make(map[string]struct{})
 	items[req.Hostname] = struct{}{}
-	identSet.MSet(items)
+	rt.IdentSet.MSet(items)
 
-	if target, has := targetCache.Get(req.Hostname); has && target != nil {
+	if target, has := rt.TargetCache.Get(req.Hostname); has && target != nil {
 		gid := ginx.QueryInt64(c, "gid", 0)
 		hostIp := strings.TrimSpace(req.HostIp)
 
-		field := make(map[string]interface{})
+		filed := make(map[string]interface{})
 		if gid != 0 && gid != target.GroupId {
-			field["group_id"] = gid
+			filed["group_id"] = gid
 		}
 
 		if hostIp != "" && hostIp != target.HostIp {
-			field["host_ip"] = hostIp
+			filed["host_ip"] = hostIp
 		}
 
-		tagsMap := target.GetTagsMap()
-		tagNeedUpdate := false
-		for k, v := range req.GlobalLabels {
-			if v == "" {
-				continue
-			}
-
-			if tagv, ok := tagsMap[k]; !ok || tagv != v {
-				tagNeedUpdate = true
-				tagsMap[k] = v
-			}
-		}
-
-		if tagNeedUpdate {
+		if len(req.GlobalLabels) > 0 {
 			lst := []string{}
-			for k, v := range tagsMap {
+			for k, v := range req.GlobalLabels {
 				lst = append(lst, k+"="+v)
 			}
-			labels := strings.Join(lst, " ") + " "
-			field["tags"] = labels
+			sort.Strings(lst)
+			labels := strings.Join(lst, " ")
+			if target.Tags != labels {
+				filed["tags"] = labels
+			}
 		}
 
 		if req.EngineName != "" && req.EngineName != target.EngineName {
-			field["engine_name"] = req.EngineName
+			filed["engine_name"] = req.EngineName
 		}
 
-		if req.AgentVersion != "" && req.AgentVersion != target.AgentVersion {
-			field["agent_version"] = req.AgentVersion
-		}
-
-		if len(field) > 0 {
-			err := target.UpdateFieldsMap(ctx, field)
+		if len(filed) > 0 {
+			err := target.UpdateFieldsMap(rt.Ctx, filed)
 			if err != nil {
 				logger.Errorf("update target fields failed, err: %v", err)
 			}
 		}
-		logger.Debugf("heartbeat field:%+v target: %v", field, *target)
+		logger.Debugf("heartbeat field:%+v target: %v", filed, *target)
 	}
 
-	return req, nil
+	ginx.NewRender(c).Message(err)
 }

center/router/router_login.go

@@ -55,12 +55,12 @@ func (rt *Router) loginPost(c *gin.Context) {
 	var err error
 	lc := rt.Sso.LDAP.Copy()
 	if lc.Enable {
-		user, err = ldapx.LdapLogin(rt.Ctx, f.Username, authPassWord, lc.DefaultRoles, lc.DefaultTeams, lc)
+		user, err = ldapx.LdapLogin(rt.Ctx, f.Username, authPassWord, lc.DefaultRoles, lc)
 		if err != nil {
 			logger.Debugf("ldap login failed: %v username: %s", err, f.Username)
 			var errLoginInN9e error
 			// to use n9e as the minimum guarantee for login
-			if user, errLoginInN9e = models.PassLogin(rt.Ctx, rt.Redis, f.Username, authPassWord); errLoginInN9e != nil {
+			if user, errLoginInN9e = models.PassLogin(rt.Ctx, f.Username, authPassWord); errLoginInN9e != nil {
 				ginx.NewRender(c).Message("ldap login failed: %v; n9e login failed: %v", err, errLoginInN9e)
 				return
 			}
@@ -68,7 +68,7 @@ func (rt *Router) loginPost(c *gin.Context) {
 			user.RolesLst = strings.Fields(user.Roles)
 		}
 	} else {
-		user, err = models.PassLogin(rt.Ctx, rt.Redis, f.Username, authPassWord)
+		user, err = models.PassLogin(rt.Ctx, f.Username, authPassWord)
 		ginx.Dangerous(err)
 	}
 
@@ -262,15 +262,6 @@ 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.NewRender(c).Data([]int{}, nil)
+				ginx.Bomb(http.StatusForbidden, "forbidden")
 				return
 			}
 		}
@@ -95,8 +95,7 @@ func (rt *Router) alertMuteAddByService(c *gin.Context) {
 	var f models.AlertMute
 	ginx.BindJSON(c, &f)
 
-	err := f.Add(rt.Ctx)
-	ginx.NewRender(c).Data(f.Id, err)
+	ginx.NewRender(c).Message(f.Add(rt.Ctx))
 }
 
 func (rt *Router) alertMuteDel(c *gin.Context) {

center/router/router_mw.go

@@ -143,8 +143,6 @@ 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_notify_config.go

@@ -90,8 +90,7 @@ func (rt *Router) notifyChannelPuts(c *gin.Context) {
 	var notifyChannels []models.NotifyChannel
 	ginx.BindJSON(c, &notifyChannels)
 
-	channels := []string{models.Dingtalk, models.Wecom, models.Feishu, models.Mm, models.Telegram,
-		models.Email, models.Lark, models.LarkCard}
+	channels := []string{models.Dingtalk, models.Wecom, models.Feishu, models.Mm, models.Telegram, models.Email}
 
 	m := make(map[string]struct{})
 	for _, v := range notifyChannels {
@@ -127,8 +126,7 @@ func (rt *Router) notifyContactPuts(c *gin.Context) {
 	var notifyContacts []models.NotifyContact
 	ginx.BindJSON(c, &notifyContacts)
 
-	keys := []string{models.DingtalkKey, models.WecomKey, models.FeishuKey, models.MmKey,
-		models.TelegramKey, models.LarkKey}
+	keys := []string{models.DingtalkKey, models.WecomKey, models.FeishuKey, models.MmKey, models.TelegramKey}
 
 	m := make(map[string]struct{})
 	for _, v := range notifyContacts {

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.NewRender(c).Data([]int{}, nil)
+				ginx.Bomb(http.StatusForbidden, "forbidden")
 				return
 			}
 		}

center/router/router_self.go

@@ -4,11 +4,9 @@ import (
 	"github.com/ccfos/nightingale/v6/models"
 	"github.com/ccfos/nightingale/v6/pkg/flashduty"
 	"github.com/ccfos/nightingale/v6/pkg/ormx"
-	"github.com/ccfos/nightingale/v6/pkg/secu"
 
 	"github.com/gin-gonic/gin"
 	"github.com/toolkits/pkg/ginx"
-	"github.com/toolkits/pkg/logger"
 )
 
 func (rt *Router) selfProfileGet(c *gin.Context) {
@@ -60,25 +58,5 @@ func (rt *Router) selfPasswordPut(c *gin.Context) {
 	var f selfPasswordForm
 	ginx.BindJSON(c, &f)
 	user := c.MustGet("user").(*models.User)
-
-	newPassWord := f.NewPass
-	oldPassWord := f.OldPass
-	if rt.HTTP.RSA.OpenRSA {
-		var err error
-		newPassWord, err = secu.Decrypt(f.NewPass, rt.HTTP.RSA.RSAPrivateKey, rt.HTTP.RSA.RSAPassWord)
-		if err != nil {
-			logger.Errorf("RSA Decrypt failed: %v username: %s", err, user.Username)
-			ginx.NewRender(c).Message(err)
-			return
-		}
-
-		oldPassWord, err = secu.Decrypt(f.OldPass, rt.HTTP.RSA.RSAPrivateKey, rt.HTTP.RSA.RSAPassWord)
-		if err != nil {
-			logger.Errorf("RSA Decrypt failed: %v username: %s", err, user.Username)
-			ginx.NewRender(c).Message(err)
-			return
-		}
-	}
-
-	ginx.NewRender(c).Message(user.ChangePassword(rt.Ctx, oldPassWord, newPassWord))
+	ginx.NewRender(c).Message(user.ChangePassword(rt.Ctx, f.OldPass, f.NewPass))
 }

center/router/router_target.go

@@ -49,9 +49,6 @@ func (rt *Router) targetGets(c *gin.Context) {
 	downtime := ginx.QueryInt64(c, "downtime", 0)
 	dsIds := queryDatasourceIds(c)
 
-	order := ginx.QueryStr(c, "order", "ident")
-	desc := ginx.QueryBool(c, "desc", false)
-
 	var err error
 	if len(bgids) == 0 {
 		user := c.MustGet("user").(*models.User)
@@ -65,17 +62,11 @@ func (rt *Router) targetGets(c *gin.Context) {
 			bgids = append(bgids, 0)
 		}
 	}
-	options := []models.BuildTargetWhereOption{
-		models.BuildTargetWhereWithBgids(bgids),
-		models.BuildTargetWhereWithDsIds(dsIds),
-		models.BuildTargetWhereWithQuery(query),
-		models.BuildTargetWhereWithDowntime(downtime),
-	}
-	total, err := models.TargetTotal(rt.Ctx, options...)
+
+	total, err := models.TargetTotal(rt.Ctx, bgids, dsIds, query, downtime)
 	ginx.Dangerous(err)
 
-	list, err := models.TargetGets(rt.Ctx, limit,
-		ginx.Offset(c, limit), order, desc, options...)
+	list, err := models.TargetGets(rt.Ctx, bgids, dsIds, query, downtime, limit, ginx.Offset(c, limit))
 	ginx.Dangerous(err)
 
 	if err == nil {

center/router/router_task.go

@@ -1,6 +1,7 @@
 package router
 
 import (
+	"net/http"
 	"time"
 
 	"github.com/ccfos/nightingale/v6/alert/sender"
@@ -8,7 +9,6 @@ import (
 
 	"github.com/gin-gonic/gin"
 	"github.com/toolkits/pkg/ginx"
-	"github.com/toolkits/pkg/i18n"
 	"github.com/toolkits/pkg/str"
 )
 
@@ -53,7 +53,7 @@ func (rt *Router) taskGetsByGids(c *gin.Context) {
 			ginx.Dangerous(err)
 
 			if len(gids) == 0 {
-				ginx.NewRender(c).Data([]int{}, nil)
+				ginx.Bomb(http.StatusForbidden, "forbidden")
 				return
 			}
 		}
@@ -105,11 +105,6 @@ func (rt *Router) taskRecordAdd(c *gin.Context) {
 }
 
 func (rt *Router) taskAdd(c *gin.Context) {
-	if !rt.Ibex.Enable {
-		ginx.Bomb(400, i18n.Sprintf(c.GetHeader("X-Language"), "This functionality has not been enabled. Please contact the system administrator to activate it."))
-		return
-	}
-
 	var f models.TaskForm
 	ginx.BindJSON(c, &f)
 

center/router/router_task_tpl.go

@@ -10,7 +10,6 @@ import (
 
 	"github.com/gin-gonic/gin"
 	"github.com/toolkits/pkg/ginx"
-	"github.com/toolkits/pkg/i18n"
 	"github.com/toolkits/pkg/str"
 )
 
@@ -48,7 +47,7 @@ func (rt *Router) taskTplGetsByGids(c *gin.Context) {
 			ginx.Dangerous(err)
 
 			if len(gids) == 0 {
-				ginx.NewRender(c).Data([]int{}, nil)
+				ginx.Bomb(http.StatusForbidden, "forbidden")
 				return
 			}
 		}
@@ -119,11 +118,6 @@ type taskTplForm struct {
 }
 
 func (rt *Router) taskTplAdd(c *gin.Context) {
-	if !rt.Ibex.Enable {
-		ginx.Bomb(400, i18n.Sprintf(c.GetHeader("X-Language"), "This functionality has not been enabled. Please contact the system administrator to activate it."))
-		return
-	}
-
 	var f taskTplForm
 	ginx.BindJSON(c, &f)
 

center/router/router_user.go

@@ -7,11 +7,9 @@ import (
 	"github.com/ccfos/nightingale/v6/models"
 	"github.com/ccfos/nightingale/v6/pkg/flashduty"
 	"github.com/ccfos/nightingale/v6/pkg/ormx"
-	"github.com/ccfos/nightingale/v6/pkg/secu"
 
 	"github.com/gin-gonic/gin"
 	"github.com/toolkits/pkg/ginx"
-	"github.com/toolkits/pkg/logger"
 )
 
 func (rt *Router) userBusiGroupsGets(c *gin.Context) {
@@ -42,17 +40,13 @@ 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)
 
-	rt.UserCache.UpdateUsersLastActiveTime()
-	total, err := models.UserTotal(rt.Ctx, query, stime, etime)
+	total, err := models.UserTotal(rt.Ctx, query)
 	ginx.Dangerous(err)
 
-	list, err := models.UserGets(rt.Ctx, query, limit, ginx.Offset(c, limit), stime, etime, order, desc)
+	list, err := models.UserGets(rt.Ctx, query, limit, ginx.Offset(c, limit))
 	ginx.Dangerous(err)
 
 	user := c.MustGet("user").(*models.User)
@@ -79,18 +73,7 @@ func (rt *Router) userAddPost(c *gin.Context) {
 	var f userAddForm
 	ginx.BindJSON(c, &f)
 
-	authPassWord := f.Password
-	if rt.HTTP.RSA.OpenRSA {
-		decPassWord, err := secu.Decrypt(f.Password, rt.HTTP.RSA.RSAPrivateKey, rt.HTTP.RSA.RSAPassWord)
-		if err != nil {
-			logger.Errorf("RSA Decrypt failed: %v username: %s", err, f.Username)
-			ginx.NewRender(c).Message(err)
-			return
-		}
-		authPassWord = decPassWord
-	}
-
-	password, err := models.CryptoPass(rt.Ctx, authPassWord)
+	password, err := models.CryptoPass(rt.Ctx, f.Password)
 	ginx.Dangerous(err)
 
 	if len(f.Roles) == 0 {
@@ -191,18 +174,7 @@ func (rt *Router) userPasswordPut(c *gin.Context) {
 
 	target := User(rt.Ctx, ginx.UrlParamInt64(c, "id"))
 
-	authPassWord := f.Password
-	if rt.HTTP.RSA.OpenRSA {
-		decPassWord, err := secu.Decrypt(f.Password, rt.HTTP.RSA.RSAPrivateKey, rt.HTTP.RSA.RSAPassWord)
-		if err != nil {
-			logger.Errorf("RSA Decrypt failed: %v username: %s", err, target.Username)
-			ginx.NewRender(c).Message(err)
-			return
-		}
-		authPassWord = decPassWord
-	}
-
-	cryptoPass, err := models.CryptoPass(rt.Ctx, authPassWord)
+	cryptoPass, err := models.CryptoPass(rt.Ctx, f.Password)
 	ginx.Dangerous(err)
 
 	ginx.NewRender(c).Message(target.UpdatePassword(rt.Ctx, cryptoPass, c.MustGet("username").(string)))

center/router/router_user_group.go

@@ -10,7 +10,6 @@ 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) {
@@ -32,36 +31,8 @@ func (rt *Router) userGroupGets(c *gin.Context) {
 }
 
 func (rt *Router) userGroupGetsByService(c *gin.Context) {
-	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)
+	lst, err := models.UserGroupGetAll(rt.Ctx)
+	ginx.NewRender(c).Data(lst, err)
 }
 
 // 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, redis)
+	targetCache := memsto.NewTargetCache(ctx, syncStats, nil)
 	busiGroupCache := memsto.NewBusiGroupCache(ctx, syncStats)
 	idents := idents.New(ctx, redis)
 	metas := metas.New(redis)

docker/compose-postgres/categraf/conf/config.toml

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

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

@@ -8,9 +8,8 @@ CREATE TABLE users (
     portrait varchar(255) not null default '',
     roles varchar(255) not null,
     contacts varchar(1024),
-    maintainer int not null default 0,
+    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,
@@ -60,8 +59,8 @@ CREATE TABLE configs (
     ckey varchar(191) not null,
     cval text not null default '',
     note varchar(1024) not null default '',
-    external int not null default 0,
-    encrypted int not null default 0,
+    external boolean not null default false,
+    encrypted boolean not null default false,
     create_at bigint not null default 0,
     create_by varchar(64) not null default '',
     update_at bigint not null default 0,
@@ -378,7 +377,7 @@ COMMENT ON COLUMN alert_mute.disabled IS '0:enabled 1:disabled';
 CREATE TABLE alert_subscribe (
     id bigserial,
     name varchar(255) not null default '',
-    disabled int not null default 0,
+    disabled boolean not null default false,
     group_id bigint not null default 0,
     prod varchar(255) not null default '',
     cate varchar(128) not null,
@@ -397,7 +396,7 @@ CREATE TABLE alert_subscribe (
     rule_ids VARCHAR(1024) DEFAULT '',
     webhooks text not null,
     extra_config text not null,
-    redefine_webhooks int default 0,
+    redefine_webhooks boolean default false,
     for_duration bigint not null default 0,
     create_at bigint not null default 0,
     create_by varchar(64) not null default '',
@@ -744,7 +743,7 @@ CREATE TABLE datasource
     status varchar(255) not null default '',
     http varchar(4096) not null default '',
     auth varchar(8192) not null default '',
-    is_default boolean not null default false,
+    is_default smallint not null default 0,
     created_at bigint not null default 0,
     created_by varchar(64) not null default '',
     updated_at bigint not null default 0,
@@ -845,44 +844,10 @@ CREATE TABLE metric_filter (
   update_by VARCHAR(191) NOT NULL DEFAULT ''
 );
 
-CREATE INDEX idx_metric_filter_name ON metric_filter (name);
+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,
-  uuid BIGINT NOT NULL DEFAULT 0,
-  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_builtin_payloads_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/template/dingtalk.tpl

@@ -1,25 +1,11 @@
-#### {{if .IsRecovered}}<font color="#008800">💚{{.RuleName}}</font>{{else}}<font color="#FF0000">💔{{.RuleName}}</font>{{end}}
+#### {{if .IsRecovered}}<font color="#008800">S{{.Severity}} - Recovered - {{.RuleName}}</font>{{else}}<font color="#FF0000">S{{.Severity}} - Triggered - {{.RuleName}}</font>{{end}}
 
 ---
-{{$time_duration := sub now.Unix .FirstTriggerTime }}{{if .IsRecovered}}{{$time_duration = sub .LastEvalTime .FirstTriggerTime }}{{end}}
-- **告警级别**: {{.Severity}}级
-{{- if .RuleNote}}
-- **规则备注**: {{.RuleNote}}
-{{- end}}
-{{- if not .IsRecovered}}
-- **当次触发时值**: {{.TriggerValue}}
-- **当次触发时间**: {{timeformat .TriggerTime}}
-- **告警持续时长**: {{humanizeDurationInterface $time_duration}}
-{{- else}}
-{{- if .AnnotationsJSON.recovery_value}}
-- **恢复时值**: {{formatDecimal .AnnotationsJSON.recovery_value 4}}
-{{- end}}
-- **恢复时间**: {{timeformat .LastEvalTime}}
-- **告警持续时长**: {{humanizeDurationInterface $time_duration}}
-{{- end}}
-- **告警事件标签**:
-{{- range $key, $val := .TagsMap}}
-{{- if ne $key "rulename" }}
-  - `{{$key}}`: `{{$val}}`
-{{- end}}
-{{- end}}
+
+- **规则标题**: {{.RuleName}}{{if .RuleNote}}
+- **规则备注**: {{.RuleNote}}{{end}}
+- **监控指标**: {{.TagsJSON}}
+- {{if .IsRecovered}}**恢复时间**：{{timeformat .LastEvalTime}}{{else}}**触发时间**: {{timeformat .TriggerTime}}
+- **触发时值**: {{.TriggerValue}}{{end}}
+- **发送时间**: {{timestamp}}
+

docker/initsql/a-n9e.sql

@@ -16,7 +16,6 @@ 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,
@@ -397,7 +396,6 @@ CREATE TABLE `recording_rule` (
     `disabled` tinyint(1) not null default 0 comment '0:enabled 1:disabled',
     `prom_ql` varchar(8192) not null comment 'promql',
     `prom_eval_interval` int not null comment 'evaluate interval',
-    `cron_pattern` varchar(255) default '' comment 'cron pattern',
     `append_tags` varchar(255) default '' comment 'split by space: service=n9e mod=api',
     `query_configs` text not null comment 'query configs',
     `create_at` bigint default '0',
@@ -441,7 +439,7 @@ CREATE TABLE `alert_cur_event` (
     `prom_for_duration` int not null comment 'prometheus for, unit:s',
     `prom_ql` varchar(8192) not null comment 'promql',
     `prom_eval_interval` int not null comment 'evaluate interval',
-    `callbacks` varchar(2048) not null default '' comment 'split by space: http://a.com/api/x http://a.com/api/y',
+    `callbacks` varchar(255) not null default '' comment 'split by space: http://a.com/api/x http://a.com/api/y',
     `runbook_url` varchar(255),
     `notify_recovered` tinyint(1) not null comment 'whether notify when recovery',
     `notify_channels` varchar(255) not null default '' comment 'split by space: sms voice email dingtalk wecom',
@@ -456,7 +454,6 @@ CREATE TABLE `alert_cur_event` (
     `annotations` text not null comment 'annotations',
     `rule_config` text not null comment 'annotations',
     `tags` varchar(1024) not null default '' comment 'merge data_tags rule_tags, split by ,,',
-    `original_tags` text comment 'labels key=val,,k2=v2',
     PRIMARY KEY (`id`),
     KEY (`hash`),
     KEY (`rule_id`),
@@ -482,7 +479,7 @@ CREATE TABLE `alert_his_event` (
     `prom_for_duration` int not null comment 'prometheus for, unit:s',
     `prom_ql` varchar(8192) not null comment 'promql',
     `prom_eval_interval` int not null comment 'evaluate interval',
-    `callbacks` varchar(2048) not null default '' comment 'split by space: http://a.com/api/x http://a.com/api/y',
+    `callbacks` varchar(255) not null default '' comment 'split by space: http://a.com/api/x http://a.com/api/y',
     `runbook_url` varchar(255),
     `notify_recovered` tinyint(1) not null comment 'whether notify when recovery',
     `notify_channels` varchar(255) not null default '' comment 'split by space: sms voice email dingtalk wecom',
@@ -496,7 +493,6 @@ CREATE TABLE `alert_his_event` (
     `recover_time` bigint not null default 0,
     `last_eval_time` bigint not null default 0 comment 'for time filter',
     `tags` varchar(1024) not null default '' comment 'merge data_tags rule_tags, split by ,,',
-    `original_tags` text comment 'labels key=val,,k2=v2',
     `annotations` text not null comment 'annotations',
     `rule_config` text not null comment 'annotations',
     PRIMARY KEY (`id`),
@@ -512,7 +508,7 @@ CREATE TABLE `board_busigroup` (
   PRIMARY KEY (`busi_group_id`, `board_id`)
 ) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
 
-CREATE TABLE `builtin_components` (
+Create Table: 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''',
@@ -523,11 +519,10 @@ CREATE TABLE `builtin_components` (
   `updated_by` varchar(191) NOT NULL DEFAULT '' COMMENT '''updater''',
   PRIMARY KEY (`id`),
   KEY `idx_ident` (`ident`)
-) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
+) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4
 
-CREATE TABLE `builtin_payloads` (
+Create Table: CREATE TABLE `builtin_payloads` (
   `id` bigint(20) NOT NULL AUTO_INCREMENT COMMENT '''unique identifier''',
-  `uuid` bigint(20) NOT NULL COMMENT '''uuid of payload''',
   `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''',
@@ -542,9 +537,8 @@ CREATE TABLE `builtin_payloads` (
   KEY `idx_component` (`component`),
   KEY `idx_name` (`name`),
   KEY `idx_cate` (`cate`),
-  KEY `idx_uuid` (`uuid`),
   KEY `idx_type` (`type`)
-) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
+) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4
 
 CREATE TABLE `task_tpl`
 (

docker/migratesql/migrate.sql

@@ -40,8 +40,9 @@ CREATE TABLE `board_busigroup` (
   PRIMARY KEY (`busi_group_id`, `board_id`)
 ) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
 
-/* v7.0.0-beta.6 */
-CREATE TABLE `builtin_components` (
+/* beta.5 */
+
+Create Table: 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''',
@@ -52,11 +53,10 @@ CREATE TABLE `builtin_components` (
   `updated_by` varchar(191) NOT NULL DEFAULT '' COMMENT '''updater''',
   PRIMARY KEY (`id`),
   KEY `idx_ident` (`ident`)
-) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
+) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4
 
-CREATE TABLE `builtin_payloads` (
+Create Table: CREATE TABLE `builtin_payloads` (
   `id` bigint(20) NOT NULL AUTO_INCREMENT COMMENT '''unique identifier''',
-  `uuid` bigint(20) NOT NULL COMMENT '''uuid of payload''',
   `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''',
@@ -71,16 +71,5 @@ CREATE TABLE `builtin_payloads` (
   KEY `idx_component` (`component`),
   KEY `idx_name` (`name`),
   KEY `idx_cate` (`cate`),
-  KEY `idx_uuid` (`uuid`),
   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;
-
-/* v7.0.0-beta.13 */
-ALTER TABLE recording_rule ADD COLUMN cron_pattern VARCHAR(255) DEFAULT '' COMMENT 'cron pattern';
-
-/* v7.0.0-beta.14 */
-ALTER TABLE alert_cur_event ADD COLUMN original_tags TEXT COMMENT 'labels key=val,,k2=v2';
-ALTER TABLE alert_his_event ADD COLUMN original_tags TEXT COMMENT 'labels key=val,,k2=v2';
+) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4

etc/config.toml

@@ -75,11 +75,10 @@ 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"
-# 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"
+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 sqlite
+# mysql postgres
 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 v1.3.5
+	github.com/flashcatcloud/ibex v1.3.3
 	github.com/gin-contrib/pprof v1.4.0
 	github.com/gin-gonic/gin v1.9.1
 	github.com/go-ldap/ldap/v3 v3.4.4
@@ -33,14 +33,12 @@ 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/driver/sqlite v1.5.5
-	gorm.io/gorm v1.25.7-0.20240204074919-46816ad31dde
+	gorm.io/gorm v1.24.2
 )
 
 require (
@@ -78,14 +76,12 @@ 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
 	github.com/pquerna/cachecontrol v0.1.0 // indirect
 	github.com/prometheus/client_model v0.4.0 // indirect
 	github.com/prometheus/procfs v0.11.0 // indirect
-	github.com/robfig/cron/v3 v3.0.1
 	github.com/tidwall/match v1.1.1 // indirect
 	github.com/tidwall/pretty v1.2.0 // indirect
 	github.com/twitchyliquid64/golang-asm v0.15.1 // indirect
@@ -94,10 +90,11 @@ 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/image v0.18.0 // 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
-	golang.org/x/text v0.16.0 // indirect
+	golang.org/x/text v0.14.0 // indirect
 	google.golang.org/appengine v1.6.7 // indirect
 	google.golang.org/protobuf v1.33.0 // indirect
 	gopkg.in/alexcesaro/quotedprintable.v3 v3.0.0-20150716171945-2caba252f4dc // 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 v1.3.5 h1:8GOOf5+aJT0TP/MC6izz7CO5JKJSdKVFBwL0vQp93Nc=
-github.com/flashcatcloud/ibex v1.3.5/go.mod h1:T8hbMUySK2q6cXUaYp0AUVeKkU9Od2LjzwmB5lmTRBM=
+github.com/flashcatcloud/ibex v1.3.3 h1:1Bxk5sgpsq4+e9bMchucGttg8Sw4KEpZy9tctFfj/cE=
+github.com/flashcatcloud/ibex v1.3.3/go.mod h1:T8hbMUySK2q6cXUaYp0AUVeKkU9Od2LjzwmB5lmTRBM=
 github.com/gabriel-vasile/mimetype v1.4.2 h1:w5qFW6JKBz9Y393Y4q372O9A7cUSequkh1Q7OhCmWKU=
 github.com/gabriel-vasile/mimetype v1.4.2/go.mod h1:zApsH/mKG4w07erKIaJPFiX0Tsq9BFQgN3qGY5GnNgA=
 github.com/garyburd/redigo v1.6.2/go.mod h1:NR3MbYisc3/PwhQ00EMzDiPmrwpPxAn5GI05/YaO1SY=
@@ -209,8 +209,6 @@ 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=
@@ -250,8 +248,6 @@ github.com/rakyll/statik v0.1.7 h1:OF3QCZUuyPxuGEP7B4ypUa7sB/iHtqOTDYZXGM8KOdQ=
 github.com/rakyll/statik v0.1.7/go.mod h1:AlZONWzMtEnMs7W4e/1LURLiI49pIMmp6V9Unghqrcc=
 github.com/redis/go-redis/v9 v9.0.2 h1:BA426Zqe/7r56kCcvxYLWe1mkaz71LKF77GwgFzSxfE=
 github.com/redis/go-redis/v9 v9.0.2/go.mod h1:/xDTe9EF1LM61hek62Poq2nzQSGj0xSrEtEHbBQevps=
-github.com/robfig/cron/v3 v3.0.1 h1:WdRxkvbJztn8LMz/QEvLN5sBU+xKpSqwwUO1Pjr4qDs=
-github.com/robfig/cron/v3 v3.0.1/go.mod h1:eQICP3HwyT7UooqI/z+Ov+PtYAWygg1TEWWzGIFLtro=
 github.com/robfig/go-cache v0.0.0-20130306151617-9fc39e0dbf62/go.mod h1:65XQgovT59RWatovFwnwocoUxiI/eENTnOY5GK3STuY=
 github.com/rogpeppe/go-internal v1.3.0/go.mod h1:M8bDsm7K2OlrFYOpmOWEs/qY81heoFRclV5y23lUDJ4=
 github.com/rogpeppe/go-internal v1.6.1/go.mod h1:xXDCJY+GAPziupqXw64V24skbSoqbTEfhy4qGm1nDQc=
@@ -342,9 +338,8 @@ golang.org/x/crypto v0.21.0 h1:X31++rzVUdKhX5sWmSOFZxx8UW/ldWx55cbf08iNAMA=
 golang.org/x/crypto v0.21.0/go.mod h1:0BP7YvVV9gBbVKyeTG0Gyn+gZm94bibOW5BjDEYAOMs=
 golang.org/x/exp v0.0.0-20230713183714-613f0c0eb8a1 h1:MGwJjxBy0HJshjDNfLsYO8xppfqWlA5ZT9OhtUUhTNw=
 golang.org/x/exp v0.0.0-20230713183714-613f0c0eb8a1/go.mod h1:FXUEEKJgO7OQYeo8N01OfiKP8RXMtf6e8aTskBGqWdc=
+golang.org/x/image v0.13.0 h1:3cge/F/QTkNLauhf2QoE9zp+7sr+ZcL4HnoZmdwg9sg=
 golang.org/x/image v0.13.0/go.mod h1:6mmbMOeV28HuMTgA6OSRkdXKYw/t5W9Uwn2Yv1r3Yxk=
-golang.org/x/image v0.18.0 h1:jGzIakQa/ZXI1I0Fxvaa9W7yP25TqT6cHIHn+6CqvSQ=
-golang.org/x/image v0.18.0/go.mod h1:4yyo5vMFQjVjUcVk4jEQcU9MGy/rulF5WvUILseCM2E=
 golang.org/x/lint v0.0.0-20190930215403-16217165b5de/go.mod h1:6SW0HCj/g11FgYtHlgUYUwCkIfeOF89ocIRzGO/8vkc=
 golang.org/x/mod v0.0.0-20190513183733-4bf6d317e70e/go.mod h1:mXi4GBBbnImb6dmsKGUJ2LatrhH/nqhxcFungHvyanc=
 golang.org/x/mod v0.1.1-0.20191105210325-c90efee705ee/go.mod h1:QqPTAvyqsEbceGzBzNggFXnrqF1CaUcvgkdR5Ot7KZg=
@@ -375,7 +370,7 @@ golang.org/x/sync v0.0.0-20190911185100-cd5d95a43a6e/go.mod h1:RxMgew5VJxzue5/jJ
 golang.org/x/sync v0.0.0-20201020160332-67f06af15bc9/go.mod h1:RxMgew5VJxzue5/jJTE5uejpjVlOe/izrB70Jof72aM=
 golang.org/x/sync v0.0.0-20220722155255-886fb9371eb4/go.mod h1:RxMgew5VJxzue5/jJTE5uejpjVlOe/izrB70Jof72aM=
 golang.org/x/sync v0.1.0/go.mod h1:RxMgew5VJxzue5/jJTE5uejpjVlOe/izrB70Jof72aM=
-golang.org/x/sync v0.7.0 h1:YsImfSBoP9QPYL0xyKJPq0gcaJdG3rInoqxTWbfQu9M=
+golang.org/x/sync v0.3.0 h1:ftCYgMx6zT/asHUrPw8BLLscYtGznsLAnjq5RH9P66E=
 golang.org/x/sys v0.0.0-20180905080454-ebe1bf3edb33/go.mod h1:STP8DvDyc/dI5b8T5hshtkjS+E42TnysNCUPdjciGhY=
 golang.org/x/sys v0.0.0-20190215142949-d0b11bdaac8a/go.mod h1:STP8DvDyc/dI5b8T5hshtkjS+E42TnysNCUPdjciGhY=
 golang.org/x/sys v0.0.0-20190222072716-a9d3bda3a223/go.mod h1:STP8DvDyc/dI5b8T5hshtkjS+E42TnysNCUPdjciGhY=
@@ -417,8 +412,8 @@ golang.org/x/text v0.7.0/go.mod h1:mrYo+phRRbMaCq/xk9113O4dZlRixOauAjOtrjsXDZ8=
 golang.org/x/text v0.8.0/go.mod h1:e1OnstbJyHTd6l/uOt8jFFHp6TRDWZR/bV3emEE/zU8=
 golang.org/x/text v0.9.0/go.mod h1:e1OnstbJyHTd6l/uOt8jFFHp6TRDWZR/bV3emEE/zU8=
 golang.org/x/text v0.13.0/go.mod h1:TvPlkZtksWOMsz7fbANvkp4WM8x/WCo/om8BMLbz+aE=
-golang.org/x/text v0.16.0 h1:a94ExnEXNtEwYLGJSIUxnWoxoRz/ZcCsV63ROupILh4=
-golang.org/x/text v0.16.0/go.mod h1:GhwF1Be+LQoKShO3cGOHzqOgRrGaYc9AvblQOmPVHnI=
+golang.org/x/text v0.14.0 h1:ScX5w1eTa3QqT8oi6+ziP7dTV1S2+ALU0bI+0zXKWiQ=
+golang.org/x/text v0.14.0/go.mod h1:18ZOQIKpY8NJVqYksKHtTdi31H5itFRjB5/qKTNYzSU=
 golang.org/x/tools v0.0.0-20180917221912-90fa682c2a6e/go.mod h1:n7NCudcB/nEzxVGmLbDWY5pfWTLqBcC2KZ6jyYvM4mQ=
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-gorm.io/driver/sqlite v1.5.5 h1:7MDMtUZhV065SilG62E0MquljeArQZNfJnjd9i9gx3E=
-gorm.io/driver/sqlite v1.5.5/go.mod h1:6NgQ7sQWAIFsPrJJl1lSNSu2TABh0ZZ/zm5fosATavE=
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integrations/AliYun/dashboards/arms-db.json

@@ -1,292 +1,280 @@
 {
-    "id": 0,
-    "group_id": 0,
     "name": "ARMS-DB",
-    "ident": "",
     "tags": "ARMS",
-    "create_at": 0,
-    "create_by": "",
-    "update_at": 0,
-    "update_by": "",
+    "ident": "",
     "configs": {
+        "version": "3.0.0",
         "links": [],
-        "panels": [
-            {
-                "collapsed": true,
-                "id": "bd8c0aac-06df-4b2d-9456-cad8e7389499",
-                "layout": {
-                    "h": 1,
-                    "i": "bd8c0aac-06df-4b2d-9456-cad8e7389499",
-                    "w": 24,
-                    "x": 0,
-                    "y": 0
-                },
-                "name": "概览(DB级别)",
-                "panels": [],
-                "type": "row",
-                "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": "${datasource}",
-                "id": "8d2da301-e5e8-4b2f-9b31-59aa0835c312",
-                "layout": {
-                    "h": 8,
-                    "i": "8d2da301-e5e8-4b2f-9b31-59aa0835c312",
-                    "w": 12,
-                    "x": 0,
-                    "y": 1
-                },
-                "links": [],
-                "maxPerRow": 4,
-                "name": "请求数/每分钟",
-                "options": {
-                    "legend": {
-                        "displayMode": "hidden"
-                    },
-                    "thresholds": {
-                        "steps": [
-                            {
-                                "color": "#634CD9",
-                                "type": "base",
-                                "value": null
-                            }
-                        ]
-                    },
-                    "tooltip": {
-                        "mode": "all",
-                        "sort": "none"
-                    }
-                },
-                "targets": [
-                    {
-                        "expr": "sum by (callType) (sum_over_time(arms_db_requests_count{endpoint=\"${instance}\",destId=~\"${db}\"}[1m]))",
-                        "legend": "{{callType}}入口",
-                        "refId": "B"
-                    }
-                ],
-                "type": "timeseries",
-                "version": "3.0.0"
-            },
-            {
-                "custom": {
-                    "drawStyle": "lines",
-                    "fillOpacity": 0.3,
-                    "gradientMode": "opacity",
-                    "lineInterpolation": "linear",
-                    "lineWidth": 2,
-                    "stack": "off",
-                    "version": "3.0.0"
-                },
-                "datasourceCate": "prometheus",
-                "datasourceValue": "${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": {
-                    "legend": {
-                        "displayMode": "hidden"
-                    },
-                    "thresholds": {
-                        "steps": [
-                            {
-                                "color": "#634CD9",
-                                "type": "base",
-                                "value": null
-                            }
-                        ]
-                    },
-                    "tooltip": {
-                        "mode": "all",
-                        "sort": "none"
-                    }
-                },
-                "targets": [
-                    {
-                        "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",
-                        "refId": "A"
-                    }
-                ],
-                "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": "${datasource}",
-                "id": "6bd5d219-0a94-4f90-b2e0-93ed3eeca9f0",
-                "layout": {
-                    "h": 8,
-                    "i": "6bd5d219-0a94-4f90-b2e0-93ed3eeca9f0",
-                    "w": 12,
-                    "x": 0,
-                    "y": 9
-                },
-                "links": [],
-                "maxPerRow": 4,
-                "name": "错误数/每分钟",
-                "options": {
-                    "legend": {
-                        "displayMode": "hidden"
-                    },
-                    "thresholds": {
-                        "steps": [
-                            {
-                                "color": "#634CD9",
-                                "type": "base",
-                                "value": null
-                            }
-                        ]
-                    },
-                    "tooltip": {
-                        "mode": "all",
-                        "sort": "none"
-                    }
-                },
-                "targets": [
-                    {
-                        "expr": "sum by (callType) (sum_over_time(arms_db_requests_error_count{endpoint=\"$instance\",destId=~\"$db\"}[1m]))",
-                        "legend": "{{callType}}入口",
-                        "refId": "A"
-                    }
-                ],
-                "type": "timeseries",
-                "version": "3.0.0"
-            },
-            {
-                "custom": {
-                    "drawStyle": "lines",
-                    "fillOpacity": 0.3,
-                    "gradientMode": "opacity",
-                    "lineInterpolation": "linear",
-                    "lineWidth": 2,
-                    "stack": "off",
-                    "version": "3.0.0"
-                },
-                "datasourceCate": "prometheus",
-                "datasourceValue": "${datasource}",
-                "description": "针对所有SQL的聚和指标",
-                "id": "d9093b86-5796-471a-a28c-fe1d8daf1721",
-                "layout": {
-                    "h": 8,
-                    "i": "d9093b86-5796-471a-a28c-fe1d8daf1721",
-                    "w": 12,
-                    "x": 12,
-                    "y": 9
-                },
-                "links": [],
-                "maxPerRow": 4,
-                "name": "性能一览/每分钟",
-                "options": {
-                    "legend": {
-                        "displayMode": "hidden"
-                    },
-                    "thresholds": {
-                        "steps": [
-                            {
-                                "color": "#634CD9",
-                                "type": "base",
-                                "value": null
-                            }
-                        ]
-                    },
-                    "tooltip": {
-                        "mode": "all",
-                        "sort": "none"
-                    }
-                },
-                "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"
+                "type": "datasource",
+                "definition": "prometheus"
             },
             {
-                "allOption": false,
-                "datasource": {
-                    "cate": "prometheus",
-                    "value": "${datasource}"
-                },
-                "definition": "label_values(arms_system_cpu_idle,service)",
-                "multi": false,
+                "type": "query",
                 "name": "service",
-                "reg": "",
-                "type": "query"
-            },
-            {
+                "definition": "label_values(arms_system_cpu_idle,service)",
                 "allOption": false,
+                "multi": false,
+                "reg": "",
                 "datasource": {
                     "cate": "prometheus",
                     "value": "${datasource}"
-                },
-                "definition": "label_values(arms_db_requests_count{service=\"$service\"},endpoint)",
-                "multi": false,
-                "name": "instance",
-                "reg": "",
-                "type": "query"
+                }
             },
             {
-                "allOption": true,
-                "allValue": ".*",
+                "type": "query",
+                "name": "instance",
+                "definition": "label_values(arms_db_requests_count{service=\"$service\"},endpoint)",
+                "allOption": false,
+                "multi": false,
+                "reg": "",
                 "datasource": {
                     "cate": "prometheus",
                     "value": "${datasource}"
-                },
-                "definition": "label_values(arms_db_requests_count{endpoint=\"${instance}\"},destId)",
-                "multi": false,
+                }
+            },
+            {
+                "type": "query",
                 "name": "db",
+                "definition": "label_values(arms_db_requests_count{endpoint=\"${instance}\"},destId)",
+                "allValue": ".*",
+                "allOption": true,
+                "multi": false,
                 "reg": "",
-                "type": "query"
+                "datasource": {
+                    "cate": "prometheus",
+                    "value": "${datasource}"
+                }
             }
         ],
-        "version": "3.0.0"
-    },
-    "public": 0,
-    "public_cate": 0,
-    "bgids": null,
-    "built_in": 0,
-    "hide": 0,
-    "uuid": 1717556327092680000
-}
+        "panels": [
+            {
+                "version": "3.0.0",
+                "id": "bd8c0aac-06df-4b2d-9456-cad8e7389499",
+                "type": "row",
+                "name": "概览(DB级别)",
+                "collapsed": true,
+                "layout": {
+                    "h": 1,
+                    "w": 24,
+                    "x": 0,
+                    "y": 0,
+                    "i": "bd8c0aac-06df-4b2d-9456-cad8e7389499"
+                },
+                "panels": []
+            },
+            {
+                "version": "3.0.0",
+                "id": "8d2da301-e5e8-4b2f-9b31-59aa0835c312",
+                "type": "timeseries",
+                "name": "请求数/每分钟",
+                "links": [],
+                "layout": {
+                    "h": 8,
+                    "w": 12,
+                    "x": 0,
+                    "y": 1,
+                    "i": "8d2da301-e5e8-4b2f-9b31-59aa0835c312"
+                },
+                "targets": [
+                    {
+                        "refId": "B",
+                        "expr": "sum by (callType) (sum_over_time(arms_db_requests_count{endpoint=\"${instance}\",destId=~\"${db}\"}[1m]))",
+                        "legend": "{{callType}}入口"
+                    }
+                ],
+                "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": "${datasource}"
+            },
+            {
+                "version": "3.0.0",
+                "id": "ab2b0969-50e7-4e4b-962a-58be133e6aef",
+                "type": "timeseries",
+                "name": "响应时间/每分钟",
+                "links": [],
+                "layout": {
+                    "h": 8,
+                    "w": 12,
+                    "x": 12,
+                    "y": 1,
+                    "i": "ab2b0969-50e7-4e4b-962a-58be133e6aef"
+                },
+                "targets": [
+                    {
+                        "refId": "A",
+                        "expr": "sum by (callType) (sum_over_time(arms_db_requests_seconds{endpoint=\"$instance\",destId=~\"^$db$\"}[1m]))/sum by (callType) (sum_over_time(arms_db_requests_count{endpoint=\"$instance\",destId=~\"^$db$\"}[1m]))",
+                        "legend": "{{callType}}入口"
+                    }
+                ],
+                "options": {
+                    "tooltip": {
+                        "mode": "all",
+                        "sort": "none"
+                    },
+                    "legend": {
+                        "displayMode": "hidden"
+                    },
+                    "thresholds": {
+                        "steps": [
+                            {
+                                "color": "#634CD9",
+                                "value": null,
+                                "type": "base"
+                            }
+                        ]
+                    }
+                },
+                "custom": {
+                    "version": "3.0.0",
+                    "drawStyle": "lines",
+                    "lineInterpolation": "linear",
+                    "fillOpacity": 0.3,
+                    "stack": "off",
+                    "lineWidth": 2,
+                    "gradientMode": "opacity"
+                },
+                "maxPerRow": 4,
+                "datasourceCate": "prometheus",
+                "datasourceValue": "${datasource}"
+            },
+            {
+                "version": "3.0.0",
+                "id": "6bd5d219-0a94-4f90-b2e0-93ed3eeca9f0",
+                "type": "timeseries",
+                "name": "错误数/每分钟",
+                "links": [],
+                "layout": {
+                    "h": 8,
+                    "w": 12,
+                    "x": 0,
+                    "y": 9,
+                    "i": "6bd5d219-0a94-4f90-b2e0-93ed3eeca9f0"
+                },
+                "targets": [
+                    {
+                        "refId": "A",
+                        "expr": "sum by (callType) (sum_over_time(arms_db_requests_error_count{endpoint=\"$instance\",destId=~\"$db\"}[1m]))",
+                        "legend": "{{callType}}入口"
+                    }
+                ],
+                "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": "${datasource}"
+            },
+            {
+                "version": "3.0.0",
+                "id": "d9093b86-5796-471a-a28c-fe1d8daf1721",
+                "type": "timeseries",
+                "name": "性能一览/每分钟",
+                "description": "针对所有SQL的聚和指标",
+                "links": [],
+                "layout": {
+                    "h": 8,
+                    "w": 12,
+                    "x": 12,
+                    "y": 9,
+                    "i": "d9093b86-5796-471a-a28c-fe1d8daf1721"
+                },
+                "targets": [
+                    {
+                        "refId": "A",
+                        "expr": "sum(sum_over_time(arms_db_requests_count{endpoint=\"$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=~\"$db\"}[1m]))",
+                        "legend": "平均耗时"
+                    }
+                ],
+                "options": {
+                    "tooltip": {
+                        "mode": "all",
+                        "sort": "none"
+                    },
+                    "legend": {
+                        "displayMode": "hidden"
+                    },
+                    "thresholds": {
+                        "steps": [
+                            {
+                                "color": "#634CD9",
+                                "value": null,
+                                "type": "base"
+                            }
+                        ]
+                    }
+                },
+                "custom": {
+                    "version": "3.0.0",
+                    "drawStyle": "lines",
+                    "lineInterpolation": "linear",
+                    "fillOpacity": 0.3,
+                    "stack": "off",
+                    "lineWidth": 2,
+                    "gradientMode": "opacity"
+                },
+                "maxPerRow": 4,
+                "datasourceCate": "prometheus",
+                "datasourceValue": "${datasource}"
+            }
+        ]
+    }
+}

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

@@ -1,13 +1,7 @@
 {
-    "id": 0,
-    "group_id": 0,
     "name": "阿里云 ARMS-JVM-SERVICE",
-    "ident": "",
     "tags": "JVM ARMS",
-    "create_at": 0,
-    "create_by": "",
-    "update_at": 0,
-    "update_by": "",
+    "ident": "",
     "configs": {
         "panels": [
             {
@@ -776,14 +770,14 @@
                 "type": "datasource"
             },
             {
+                "name": "service",
+                "label": "service",
+                "type": "query",
                 "datasource": {
                     "cate": "prometheus",
                     "value": "${prom}"
                 },
-                "definition": "label_values(arms_jvm_buffer_pool_count, service)",
-                "label": "service",
-                "name": "service",
-                "type": "query"
+                "definition": "label_values(arms_jvm_buffer_pool_count, service)"
             },
             {
                 "datasource": {
@@ -797,11 +791,5 @@
             }
         ],
         "version": "3.0.0"
-    },
-    "public": 0,
-    "public_cate": 0,
-    "bgids": null,
-    "built_in": 0,
-    "hide": 0,
-    "uuid": 1717556327094704000
-}
+    }
+}

integrations/AliYun/dashboards/arms-machine.json

@@ -1,441 +1,429 @@
 {
-    "id": 0,
-    "group_id": 0,
     "name": "ARMS-Machine",
-    "ident": "",
     "tags": "ARMS",
-    "create_at": 0,
-    "create_by": "",
-    "update_at": 0,
-    "update_by": "",
+    "ident": "",
     "configs": {
+        "version": "3.0.0",
         "links": [],
-        "panels": [
-            {
-                "collapsed": true,
-                "id": "8865eacb-f0f6-45fa-912a-8494907c48d6",
-                "layout": {
-                    "h": 1,
-                    "i": "8865eacb-f0f6-45fa-912a-8494907c48d6",
-                    "w": 24,
-                    "x": 0,
-                    "y": 0
-                },
-                "name": "系统信息",
-                "panels": [],
-                "type": "row",
-                "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": "${datasource}",
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+                        "expr": "max(arms_system_cpu_io_wait{host=~\"$host\"})",
+                        "legend": "等待IO完成的CPU使用率"
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+                    {
+                        "refId": "C",
+                        "expr": "max(arms_system_cpu_user{host=~\"$host\"})",
+                        "legend": "用户CPU使用率"
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+                        "expr": "max(arms_system_cpu_system{host=\"$host\"})+max(arms_system_cpu_io_wait{host=~\"$host\"})+max(arms_system_cpu_user{host=\"$host\"})",
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+                        "expr": "max(arms_system_mem_total_bytes{host=\"$host\"})",
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+                        "expr": "max(arms_system_mem_buffers_bytes{host=\"$host\"})",
+                        "legend": "系统的BufferCache的内存数"
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+                        "expr": "max(arms_system_mem_cached_bytes{host=\"$host\"})",
+                        "legend": "系统的PageCache里的内存数"
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+                        "expr": "max(arms_system_mem_free_bytes{host=\"$host\"})",
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+                "datasourceValue": "${datasource}"
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+                        "expr": "max(arms_system_disk_free_bytes{host=\"$host\"})",
+                        "legend": "可用磁盘容量"
+                    },
+                    {
+                        "refId": "B",
+                        "expr": "max(arms_system_disk_total_bytes{host=\"$host\"})",
+                        "legend": "总磁盘容量"
+                    },
+                    {
+                        "refId": "C",
+                        "expr": "max(arms_system_disk_total_bytes{host=~\"$host\"})-max(arms_system_disk_free_bytes{host=~\"$host\"})",
+                        "legend": "已使用磁盘容量"
+                    }
+                ],
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+                        "sort": "none"
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+            },
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+                "id": "517cc410-c4a0-4923-a902-3c102f06cd0c",
+                "type": "timeseries",
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+                        "refId": "A",
+                        "expr": "max(max_over_time(arms_system_net_in_bytes{host=~\"$host\"}[1m]))",
+                        "legend": "网络接收的字节数"
+                    },
+                    {
+                        "refId": "B",
+                        "expr": "max(max_over_time(arms_system_net_out_bytes{host=~\"$host\"}[1m]))",
+                        "legend": "网络发送的字节数"
+                    }
+                ],
+                "options": {
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+                        "sort": "none"
+                    },
+                    "legend": {
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+                    },
+                    "thresholds": {
+                        "steps": [
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+                                "type": "base"
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+                    "gradientMode": "opacity"
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+                "datasourceCate": "prometheus",
+                "datasourceValue": "${datasource}"
+            },
+            {
+                "version": "3.0.0",
+                "id": "752d89ce-1136-4ddf-b4b9-1a232a8840db",
+                "type": "timeseries",
+                "name": "网络数据包(个)/每分钟",
+                "links": [],
+                "layout": {
+                    "h": 9,
+                    "w": 24,
+                    "x": 0,
+                    "y": 46,
+                    "i": "752d89ce-1136-4ddf-b4b9-1a232a8840db"
+                },
+                "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"
+                    }
+                ],
+                "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}"
+            }
+        ]
+    }
+}

integrations/AliYun/dashboards/cdn.json

@@ -1,364 +1,352 @@
 {
-    "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=\"$instance_id\"}",
-                        "legend": "均值 {{instance_id}}",
-                        "refId": "B"
-                    }
-                ],
-                "transformations": [
-                    {
-                        "id": "organize",
-                        "options": {}
-                    }
-                ],
-                "type": "timeseries",
-                "version": "3.0.0"
-            }
+  "name": "阿里云CDN",
+  "tags": "CDN",
+  "ident": "",
+  "configs": {
+    "var": [
+      {
+        "name": "datasource",
+        "label": "datasource",
+        "type": "datasource",
+        "definition": "prometheus"
+      },
+      {
+        "name": "instance_id",
+        "label": "instance_id",
+        "type": "query",
+        "datasource": {
+          "cate": "prometheus",
+          "value": "${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=\"$instance_id\"}",
+            "refId": "B",
+            "legend": "均值 {{instance_id}}"
+          }
         ],
-        "var": [
-            {
-                "definition": "prometheus",
-                "label": "datasource",
-                "name": "datasource",
-                "type": "datasource"
-            },
-            {
-                "datasource": {
-                    "cate": "prometheus",
-                    "value": "${datasource}"
-                },
-                "definition": "label_values(aliyun_acs_cdn_qps_isp_value, instance_id)",
-                "label": "instance_id",
-                "name": "instance_id",
-                "type": "query"
-            }
+        "transformations": [
+          {
+            "id": "organize",
+            "options": {}
+          }
         ],
-        "version": "3.0.0"
-    },
-    "public": 0,
-    "public_cate": 0,
-    "bgids": null,
-    "built_in": 0,
-    "hide": 0,
-    "uuid": 1717556327104499000
-}
+        "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": {
+            "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"
+          }
+        }
+      }
+    ],
+    "version": "3.0.0"
+  }
+}

integrations/AliYun/dashboards/ecs.json

@@ -1,336 +1,324 @@
 {
-    "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": "${datasource}",
-                "id": "8606d5ad-c3c7-4b1d-86bf-474d3302ee17",
-                "layout": {
-                    "h": 4,
-                    "i": "8606d5ad-c3c7-4b1d-86bf-474d3302ee17",
-                    "isResizable": true,
-                    "w": 12,
-                    "x": 0,
-                    "y": 0
-                },
-                "maxPerRow": 4,
-                "name": "CPU平均使用率",
-                "options": {
-                    "legend": {
-                        "displayMode": "hidden"
-                    },
-                    "standardOptions": {},
-                    "thresholds": {
-                        "steps": [
-                            {
-                                "color": "#634CD9",
-                                "type": "base",
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-                    },
-                    "tooltip": {
-                        "mode": "all",
-                        "sort": "none"
-                    }
-                },
-                "targets": [
-                    {
-                        "expr": "sum(aliyun_acs_ecs_dashboard_cpu_utilization_average{ident=~\"$ident\"}) by (ident,instance_id)",
-                        "refId": "A"
-                    }
-                ],
-                "type": "timeseries",
-                "version": "2.0.0"
-            },
-            {
-                "custom": {
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-                    "fillOpacity": 0.3,
-                    "gradientMode": "opacity",
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-                    "scaleDistribution": {
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-                    "spanNulls": false,
-                    "stack": "off"
-                },
-                "datasourceCate": "prometheus",
-                "datasourceName": "Default",
-                "datasourceValue": "${datasource}",
-                "id": "c7034fe3-5521-4867-a8bd-429767cc03a2",
-                "layout": {
-                    "h": 4,
-                    "i": "55404296-0bd9-409d-aeaf-e9c7cceea0dd",
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-                    "w": 12,
-                    "x": 12,
-                    "y": 0
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-                "maxPerRow": 4,
-                "name": "内存平均使用率",
-                "options": {
-                    "legend": {
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-                    },
-                    "standardOptions": {},
-                    "thresholds": {
-                        "steps": [
-                            {
-                                "color": "#634CD9",
-                                "type": "base",
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-                    },
-                    "tooltip": {
-                        "mode": "all",
-                        "sort": "none"
-                    }
-                },
-                "targets": [
-                    {
-                        "expr": "sum(aliyun_acs_ecs_dashboard_memory_usedutilization_average{ident=~\"$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": {
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-                    },
-                    "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=~\"$ident\"}) by (ident,instance_id)",
-                        "legend": "主机：{{ident}} 实例ID: {{instance_id}} 出流量",
-                        "refId": "B",
-                        "step": 300,
-                        "time": {
-                            "end": "now",
-                            "start": "now-5m"
-                        }
-                    }
-                ],
-                "type": "timeseries",
-                "version": "2.0.0"
-            }
+  "name": "阿里云ECS",
+  "tags": "",
+  "ident": "",
+  "configs": {
+    "panels": [
+      {
+        "custom": {
+          "drawStyle": "lines",
+          "fillOpacity": 0.3,
+          "gradientMode": "opacity",
+          "lineInterpolation": "smooth",
+          "lineWidth": 2,
+          "scaleDistribution": {
+            "type": "linear"
+          },
+          "spanNulls": false,
+          "stack": "off"
+        },
+        "datasourceCate": "prometheus",
+        "datasourceName": "Default",
+        "id": "8606d5ad-c3c7-4b1d-86bf-474d3302ee17",
+        "layout": {
+          "h": 4,
+          "i": "8606d5ad-c3c7-4b1d-86bf-474d3302ee17",
+          "isResizable": true,
+          "w": 12,
+          "x": 0,
+          "y": 0
+        },
+        "maxPerRow": 4,
+        "name": "CPU平均使用率",
+        "options": {
+          "legend": {
+            "displayMode": "hidden"
+          },
+          "standardOptions": {},
+          "thresholds": {
+            "steps": [
+              {
+                "color": "#634CD9",
+                "type": "base",
+                "value": null
+              }
+            ]
+          },
+          "tooltip": {
+            "mode": "all",
+            "sort": "none"
+          }
+        },
+        "targets": [
+          {
+            "expr": "sum(aliyun_acs_ecs_dashboard_cpu_utilization_average{ident=~\"$ident\"}) by (ident,instance_id)",
+            "refId": "A"
+          }
         ],
-        "var": [
-            {
-                "definition": "prometheus",
-                "name": "datasource",
-                "type": "datasource"
-            },
-            {
-                "allOption": true,
-                "datasource": {
-                    "cate": "prometheus",
-                    "value": "${datasource}"
-                },
-                "definition": "label_values(aliyun_acs_ecs_dashboard_cpu_utilization_average,ident)",
-                "multi": true,
-                "name": "ident",
-                "type": "query"
-            }
+        "type": "timeseries",
+        "version": "2.0.0",
+        "datasourceValue": "${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=~\"$ident\"}) by (ident,instance_id)",
+            "refId": "A"
+          }
         ],
-        "version": "3.0.0"
-    },
-    "public": 0,
-    "public_cate": 0,
-    "bgids": null,
-    "built_in": 0,
-    "hide": 0,
-    "uuid": 1717556327106006000
-}
+        "type": "timeseries",
+        "version": "2.0.0",
+        "datasourceValue": "${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": "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=~\"$ident\"}) by (ident,instance_id)",
+            "legend": "主机：{{ident}} 实例ID: {{instance_id}} 入流量",
+            "refId": "A",
+            "step": 300,
+            "time": {
+              "end": "now",
+              "start": "now-5m"
+            }
+          },
+          {
+            "expr": "sum(aliyun_acs_ecs_dashboard_intranet_out_average{ident=~\"$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"
+  }
+}

integrations/AliYun/dashboards/mse.json

@@ -1,486 +1,474 @@
 {
-    "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,
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-                    "isResizable": true,
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-                "name": "请求量（一分钟）",
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-                        "expr": "sum(delta(envoy_http_downstream_cx_rx_bytes_total{envoy_clusterid=\"$envoy_clusterid\"}[1m]))",
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-                        "refId": "A"
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-                "name": "平均延迟",
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-                        "expr": "sum(rate(envoy_http_downstream_rq_time_sum{envoy_clusterid=\"$envoy_clusterid\"}[10m])) / sum(rate(envoy_http_downstream_rq_time_count{envoy_clusterid=\"$envoy_clusterid\"}[10m]))",
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-                "name": "P95",
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-                        "refId": "A"
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-                "name": "QPS",
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-                        "expr": "sum(irate(envoy_http_downstream_rq{envoy_clusterid=\"$envoy_clusterid\"}[2m]))",
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-                        "refId": "A"
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-                "name": "Top Service Request",
-                "options": {
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-                "targets": [
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-                        "legend": "{{service_name}}:{{port}}",
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-                        "options": {}
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-                "type": "barGauge",
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-                "name": "Top Service RT",
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-                "type": "timeseries",
-                "version": "3.0.0"
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+  "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": "${datasource}"
+        }
+      }
+    ],
+    "panels": [
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+        "type": "stat",
+        "id": "aba69dc0-5a11-4bcd-add9-335b5a677bee",
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+        "datasourceCate": "prometheus",
+        "datasourceValue": 7,
+        "targets": [
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+            "refId": "A",
+            "expr": "sum(delta(envoy_http_rq_total{envoy_clusterid=\"$envoy_clusterid\"}[1m]))"
+          }
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-                "name": "datasource",
-                "type": "datasource"
-            },
-            {
-                "datasource": {
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-                    "value": "${datasource}"
-                },
-                "definition": "label_values(envoy_cluster_bind_errors, envoy_clusterid)",
-                "hide": false,
-                "label": "envoy_clusterid",
-                "multi": false,
-                "name": "envoy_clusterid",
-                "type": "query"
-            }
+        "transformations": [
+          {
+            "id": "organize",
+            "options": {}
+          }
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-        "version": "3.0.0"
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-    "public_cate": 0,
-    "bgids": null,
-    "built_in": 0,
-    "hide": 0,
-    "uuid": 1717556327111860000
-}
+        "name": "PV（一分钟）",
+        "maxPerRow": 4,
+        "custom": {
+          "textMode": "valueAndName",
+          "graphMode": "none",
+          "colorMode": "value",
+          "calc": "lastNotNull",
+          "valueField": "Value",
+          "colSpan": 1,
+          "textSize": {}
+        },
+        "options": {
+          "thresholds": {
+            "steps": [
+              {
+                "color": "#634CD9",
+                "value": null,
+                "type": "base"
+              }
+            ]
+          },
+          "standardOptions": {}
+        }
+      },
+      {
+        "type": "pie",
+        "id": "e34a272e-6125-4afa-a2c1-80d7d9078673",
+        "layout": {
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+          "w": 9,
+          "x": 6,
+          "y": 0,
+          "i": "116a5607-5860-426e-a560-d3241da88b57",
+          "isResizable": true
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+        "version": "3.0.0",
+        "datasourceCate": "prometheus",
+        "datasourceValue": 7,
+        "targets": [
+          {
+            "refId": "A",
+            "expr": "sum(delta(envoy_http_downstream_rq{envoy_clusterid=\"$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
+          }
+        }
+      },
+      {
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+        "id": "a8917108-58a6-479a-8ec4-571f1b5a79c2",
+        "layout": {
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+          "x": 15,
+          "y": 0,
+          "i": "9be66a1f-c0bb-47dc-a3c0-ad43b588789b",
+          "isResizable": true
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+        "version": "3.0.0",
+        "datasourceCate": "prometheus",
+        "datasourceValue": 7,
+        "targets": [
+          {
+            "refId": "A",
+            "expr": "sum(delta(envoy_http_downstream_cx_rx_bytes_total{envoy_clusterid=\"$envoy_clusterid\"}[1m]))",
+            "legend": ""
+          }
+        ],
+        "transformations": [
+          {
+            "id": "organize",
+            "options": {}
+          }
+        ],
+        "name": "请求量（一分钟）",
+        "maxPerRow": 4,
+        "options": {
+          "tooltip": {
+            "mode": "all",
+            "sort": "none"
+          },
+          "legend": {
+            "displayMode": "list"
+          },
+          "standardOptions": {
+            "util": "bytesSI"
+          },
+          "thresholds": {
+            "steps": [
+              {
+                "color": "#634CD9",
+                "value": null,
+                "type": "base"
+              }
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+        },
+        "custom": {
+          "drawStyle": "lines",
+          "lineInterpolation": "smooth",
+          "spanNulls": false,
+          "lineWidth": 2,
+          "fillOpacity": 0.3,
+          "gradientMode": "opacity",
+          "stack": "off",
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+      },
+      {
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+        "id": "1b102bee-ccc9-49a0-a1d1-cc097bb6a987",
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+        "version": "3.0.0",
+        "datasourceCate": "prometheus",
+        "datasourceValue": 7,
+        "targets": [
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+            "expr": "sum(rate(envoy_http_downstream_rq_time_sum{envoy_clusterid=\"$envoy_clusterid\"}[10m])) / sum(rate(envoy_http_downstream_rq_time_count{envoy_clusterid=\"$envoy_clusterid\"}[10m]))",
+            "legend": ""
+          }
+        ],
+        "transformations": [
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+            "options": {}
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+        "name": "平均延迟",
+        "maxPerRow": 4,
+        "options": {
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+            "sort": "none"
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+          "thresholds": {
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+                "value": null,
+                "type": "base"
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+          "lineWidth": 2,
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+          "gradientMode": "opacity",
+          "stack": "off",
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+        "datasourceCate": "prometheus",
+        "datasourceValue": 7,
+        "targets": [
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+            "expr": "histogram_quantile(0.95, sum(rate(envoy_http_downstream_rq_time_bucket{envoy_clusterid=\"$envoy_clusterid\"}[10m])) by (le, service))",
+            "legend": ""
+          }
+        ],
+        "transformations": [
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+            "options": {}
+          }
+        ],
+        "name": "P95",
+        "maxPerRow": 4,
+        "options": {
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+            "sort": "none"
+          },
+          "legend": {
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+          "standardOptions": {
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+          "thresholds": {
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+                "type": "base"
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+            "expr": "sum(irate(envoy_http_downstream_rq{envoy_clusterid=\"$envoy_clusterid\"}[2m]))",
+            "legend": ""
+          }
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+        "transformations": [
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+        "name": "QPS",
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+        "options": {
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+            "sort": "none"
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+          "legend": {
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+          "thresholds": {
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+              }
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+          "stack": "off",
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+        }
+      },
+      {
+        "type": "barGauge",
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+          {
+            "refId": "A",
+            "expr": "label_replace(label_replace(topk(10, sum(delta(envoy_cluster_upstream_rq_total{envoy_clusterid=\"$envoy_clusterid\", cluster_name=~\"outbound_([0-9]+)_(.*)_(.*).svc.cluster.local$\", cluster_name!~\".*waf-proxy.static\", cluster_name!~\"outbound_([0-9]+)_(.*)_kubernetes.default.svc.cluster.local\", cluster_name!~\"outbound_([0-9]+)_(.*)_(.*).kube-system.svc.cluster.local\", cluster_name!~\"outbound_([0-9]+)_(.*)_(.*).arms-prom.svc.cluster.local\"}[1m])) by (cluster_name)), \"service_name\", \"$3\", \"cluster_name\", \"outbound_([0-9]+)_(.*)_(.*).svc.cluster.local$\"), \"port\", \"$1\", \"cluster_name\", \"outbound_([0-9]+)_(.*)_(.*).svc.cluster.local$\")",
+            "legend": "{{service_name}}:{{port}}"
+          }
+        ],
+        "transformations": [
+          {
+            "id": "organize",
+            "options": {}
+          }
+        ],
+        "name": "Top Service Request",
+        "maxPerRow": 4,
+        "custom": {
+          "calc": "lastNotNull",
+          "baseColor": "#9470FF",
+          "serieWidth": 40,
+          "sortOrder": "desc"
+        },
+        "options": {
+          "standardOptions": {}
+        }
+      },
+      {
+        "type": "timeseries",
+        "id": "8df57678-ff19-4b63-b768-4dad3f12222b",
+        "layout": {
+          "h": 5,
+          "w": 24,
+          "x": 0,
+          "y": 17,
+          "i": "44f413ba-3262-4ccf-a4b1-c1165bafaaff",
+          "isResizable": true
+        },
+        "version": "3.0.0",
+        "datasourceCate": "prometheus",
+        "datasourceValue": 7,
+        "targets": [
+          {
+            "refId": "A",
+            "expr": "label_replace(label_replace(avg(delta(envoy_cluster_upstream_rq_time_sum{envoy_clusterid=\"$envoy_clusterid\", cluster_name=~\"outbound_([0-9]+)_(.*)_(.*)$\"}[3m])) by (cluster_name) / avg(delta(envoy_cluster_upstream_rq_time_count{envoy_clusterid=\"$envoy_clusterid\", cluster_name=~\"outbound_([0-9]+)_(.*)_(.*)$\"}[1m])) by (cluster_name), \"service_name\", \"$3\", \"cluster_name\", \"outbound_([0-9]+)_(.*)_(.*)$\"), \"port\", \"$1\", \"cluster_name\", \"outbound_([0-9]+)_(.*)_(.*)$\")",
+            "legend": "{{service_name}}:{{port}}"
+          }
+        ],
+        "transformations": [
+          {
+            "id": "organize",
+            "options": {}
+          }
+        ],
+        "name": "Top Service RT",
+        "maxPerRow": 4,
+        "options": {
+          "tooltip": {
+            "mode": "all",
+            "sort": "none"
+          },
+          "legend": {
+            "displayMode": "hidden"
+          },
+          "standardOptions": {
+            "util": "milliseconds"
+          },
+          "thresholds": {
+            "steps": [
+              {
+                "color": "#634CD9",
+                "value": null,
+                "type": "base"
+              }
+            ]
+          }
+        },
+        "custom": {
+          "drawStyle": "lines",
+          "lineInterpolation": "smooth",
+          "spanNulls": false,
+          "lineWidth": 2,
+          "fillOpacity": 0.3,
+          "gradientMode": "opacity",
+          "stack": "off",
+          "scaleDistribution": {
+            "type": "linear"
+          }
+        }
+      }
+    ],
+    "version": "3.0.0"
+  }
+}

integrations/AliYun/dashboards/mysql.json

@@ -1,971 +0,0 @@
-{
-  "name": "阿里云MySQL",
-  "tags": "阿里云 mysql",
-  "ident": "",
-  "configs": {
-    "panels": [
-      {
-        "type": "row",
-        "id": "1cb8caf3-ef35-4572-9ecc-71b9f063a685",
-        "name": "关键指标",
-        "collapsed": true,
-        "layout": {
-          "h": 1,
-          "w": 24,
-          "x": 0,
-          "y": 0,
-          "i": "1cb8caf3-ef35-4572-9ecc-71b9f063a685",
-          "isResizable": false
-        },
-        "panels": []
-      },
-      {
-        "type": "timeseries",
-        "id": "5aad17df-354e-40de-a643-61da6668939b",
-        "layout": {
-          "h": 5,
-          "w": 24,
-          "x": 0,
-          "y": 1,
-          "i": "fcf9515d-3a56-4596-8b3a-d7d8631aa218",
-          "isResizable": true
-        },
-        "version": "3.0.0",
-        "datasourceCate": "prometheus",
-        "datasourceValue": "${datasource}",
-        "targets": [
-          {
-            "expr": "AliyunRds_MySQL_SlowQueries{instanceName=\"$instance\"}",
-            "legend": "{{instanceName}}",
-            "refId": "A",
-            "maxDataPoints": 240
-          }
-        ],
-        "transformations": [
-          {
-            "id": "organize",
-            "options": {}
-          }
-        ],
-        "name": "每秒慢查询数量(countS)",
-        "maxPerRow": 4,
-        "options": {
-          "tooltip": {
-            "mode": "all",
-            "sort": "none"
-          },
-          "legend": {
-            "displayMode": "hidden",
-            "behaviour": "showItem"
-          },
-          "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"
-          }
-        },
-        "overrides": [
-          {
-            "matcher": {
-              "id": "byFrameRefID"
-            },
-            "properties": {
-              "rightYAxisDisplay": "off"
-            }
-          }
-        ]
-      },
-      {
-        "type": "row",
-        "id": "2b3a816e-94e2-4c9d-9bb8-770c458033db",
-        "name": "基础指标",
-        "collapsed": true,
-        "layout": {
-          "h": 1,
-          "w": 24,
-          "x": 0,
-          "y": 6,
-          "i": "2b3a816e-94e2-4c9d-9bb8-770c458033db",
-          "isResizable": false
-        },
-        "panels": []
-      },
-      {
-        "type": "timeseries",
-        "id": "12d4a674-6d09-4b02-aa4f-d767531bd368",
-        "layout": {
-          "h": 4,
-          "w": 8,
-          "x": 0,
-          "y": 7,
-          "i": "baba4778-b950-4224-9dac-9ecda041f93b",
-          "isResizable": true
-        },
-        "version": "3.0.0",
-        "datasourceCate": "prometheus",
-        "datasourceValue": "${datasource}",
-        "targets": [
-          {
-            "expr": "AliyunRds_CpuUsage{instanceName=\"$instance\"}",
-            "legend": "",
-            "refId": "A",
-            "maxDataPoints": 240
-          }
-        ],
-        "transformations": [
-          {
-            "id": "organize",
-            "options": {}
-          }
-        ],
-        "name": "CPU使用率",
-        "maxPerRow": 4,
-        "options": {
-          "tooltip": {
-            "mode": "all",
-            "sort": "none"
-          },
-          "legend": {
-            "displayMode": "hidden",
-            "behaviour": "showItem"
-          },
-          "standardOptions": {
-            "util": "percent"
-          },
-          "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"
-          }
-        },
-        "overrides": [
-          {
-            "matcher": {
-              "id": "byFrameRefID"
-            },
-            "properties": {
-              "rightYAxisDisplay": "off"
-            }
-          }
-        ]
-      },
-      {
-        "type": "timeseries",
-        "id": "55b17951-a4ae-46a7-a2d7-57db1414f6ff",
-        "layout": {
-          "h": 4,
-          "w": 8,
-          "x": 8,
-          "y": 7,
-          "i": "c4c248bd-21fb-4485-8235-f50640116e65",
-          "isResizable": true
-        },
-        "version": "3.0.0",
-        "datasourceCate": "prometheus",
-        "datasourceValue": "${datasource}",
-        "targets": [
-          {
-            "expr": "AliyunRds_MemoryUsage{instanceName=\"$instance\"}",
-            "legend": "",
-            "refId": "A",
-            "maxDataPoints": 240
-          }
-        ],
-        "transformations": [
-          {
-            "id": "organize",
-            "options": {}
-          }
-        ],
-        "name": "内存使用率",
-        "maxPerRow": 4,
-        "options": {
-          "tooltip": {
-            "mode": "all",
-            "sort": "none"
-          },
-          "legend": {
-            "displayMode": "hidden",
-            "behaviour": "showItem"
-          },
-          "standardOptions": {
-            "util": "percent"
-          },
-          "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"
-          }
-        },
-        "overrides": [
-          {
-            "matcher": {
-              "id": "byFrameRefID"
-            },
-            "properties": {
-              "rightYAxisDisplay": "off"
-            }
-          }
-        ]
-      },
-      {
-        "type": "timeseries",
-        "id": "02c6af68-0e59-4f62-b0e8-80a9a9d0df82",
-        "layout": {
-          "h": 4,
-          "w": 8,
-          "x": 16,
-          "y": 7,
-          "i": "51cf9211-5e76-4176-b1ec-42929ccc6803",
-          "isResizable": true
-        },
-        "version": "3.0.0",
-        "datasourceCate": "prometheus",
-        "datasourceValue": "${datasource}",
-        "targets": [
-          {
-            "expr": "AliyunRds_DiskUsage{instanceName=\"$instance\"}",
-            "legend": "",
-            "refId": "A",
-            "maxDataPoints": 240
-          }
-        ],
-        "transformations": [
-          {
-            "id": "organize",
-            "options": {}
-          }
-        ],
-        "name": "磁盘使用率",
-        "maxPerRow": 4,
-        "options": {
-          "tooltip": {
-            "mode": "all",
-            "sort": "none"
-          },
-          "legend": {
-            "displayMode": "hidden",
-            "behaviour": "showItem"
-          },
-          "standardOptions": {
-            "util": "percent"
-          },
-          "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"
-          }
-        },
-        "overrides": [
-          {
-            "matcher": {
-              "id": "byFrameRefID"
-            },
-            "properties": {
-              "rightYAxisDisplay": "off"
-            }
-          }
-        ]
-      },
-      {
-        "type": "timeseries",
-        "id": "b72c5032-1ea0-4c87-9cfd-d21b374680f1",
-        "layout": {
-          "h": 4,
-          "w": 8,
-          "x": 0,
-          "y": 11,
-          "i": "b72c5032-1ea0-4c87-9cfd-d21b374680f1",
-          "isResizable": true
-        },
-        "version": "3.0.0",
-        "datasourceCate": "prometheus",
-        "datasourceValue": "${datasource}",
-        "targets": [
-          {
-            "expr": "AliyunRds_MySQL_ActiveSessions{instanceName=\"$instance\"}",
-            "legend": "",
-            "refId": "A",
-            "maxDataPoints": 240
-          }
-        ],
-        "transformations": [
-          {
-            "id": "organize",
-            "options": {}
-          }
-        ],
-        "name": "活跃连接数",
-        "maxPerRow": 4,
-        "options": {
-          "tooltip": {
-            "mode": "all",
-            "sort": "none"
-          },
-          "legend": {
-            "displayMode": "hidden",
-            "behaviour": "showItem"
-          },
-          "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"
-          }
-        },
-        "overrides": [
-          {
-            "matcher": {
-              "id": "byFrameRefID"
-            },
-            "properties": {
-              "rightYAxisDisplay": "off"
-            }
-          }
-        ]
-      },
-      {
-        "type": "timeseries",
-        "id": "b518c9c4-f0e8-4712-ab67-be4521eeff0c",
-        "layout": {
-          "h": 4,
-          "w": 8,
-          "x": 8,
-          "y": 11,
-          "i": "ff589719-6072-488d-819d-6e080a6f3c60",
-          "isResizable": true
-        },
-        "version": "3.0.0",
-        "datasourceCate": "prometheus",
-        "datasourceValue": "${datasource}",
-        "targets": [
-          {
-            "expr": "AliyunRds_ConnectionUsage{instanceName=\"$instance\"}",
-            "legend": "",
-            "refId": "A",
-            "maxDataPoints": 240
-          }
-        ],
-        "transformations": [
-          {
-            "id": "organize",
-            "options": {}
-          }
-        ],
-        "name": "连接数使用率",
-        "maxPerRow": 4,
-        "options": {
-          "tooltip": {
-            "mode": "all",
-            "sort": "none"
-          },
-          "legend": {
-            "displayMode": "hidden",
-            "behaviour": "showItem"
-          },
-          "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"
-          }
-        },
-        "overrides": [
-          {
-            "matcher": {
-              "id": "byFrameRefID"
-            },
-            "properties": {
-              "rightYAxisDisplay": "off"
-            }
-          }
-        ]
-      },
-      {
-        "type": "timeseries",
-        "id": "86c1f728-ac1e-402b-bea6-2e3979f472c3",
-        "layout": {
-          "h": 4,
-          "w": 8,
-          "x": 16,
-          "y": 11,
-          "i": "5d673c5d-1fbb-4df4-9ece-c991d053ca34",
-          "isResizable": true
-        },
-        "version": "3.0.0",
-        "datasourceCate": "prometheus",
-        "datasourceValue": "${datasource}",
-        "targets": [
-          {
-            "expr": "AliyunRds_IOPSUsage{instanceName=\"$instance\"} ",
-            "legend": "",
-            "refId": "A",
-            "maxDataPoints": 240
-          }
-        ],
-        "transformations": [
-          {
-            "id": "organize",
-            "options": {}
-          }
-        ],
-        "name": "IOPS使用率",
-        "maxPerRow": 4,
-        "options": {
-          "tooltip": {
-            "mode": "all",
-            "sort": "none"
-          },
-          "legend": {
-            "displayMode": "hidden",
-            "behaviour": "showItem"
-          },
-          "standardOptions": {
-            "util": "percent"
-          },
-          "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"
-          }
-        },
-        "overrides": [
-          {
-            "matcher": {
-              "id": "byFrameRefID"
-            },
-            "properties": {
-              "rightYAxisDisplay": "off",
-              "standardOptions": {
-                "util": "percent"
-              }
-            }
-          }
-        ]
-      },
-      {
-        "type": "timeseries",
-        "id": "dc874418-8d11-409c-96e8-e48fac2f6e20",
-        "layout": {
-          "h": 4,
-          "w": 8,
-          "x": 0,
-          "y": 15,
-          "i": "86915dd4-990c-41ba-b048-3da301d97327",
-          "isResizable": true
-        },
-        "version": "3.0.0",
-        "datasourceCate": "prometheus",
-        "datasourceValue": "${datasource}",
-        "targets": [
-          {
-            "expr": "AliyunRds_MySQL_NetworkInNew{instanceName=\"$instance\"}/ 8",
-            "legend": "",
-            "refId": "A",
-            "maxDataPoints": 240
-          }
-        ],
-        "transformations": [
-          {
-            "id": "organize",
-            "options": {}
-          }
-        ],
-        "name": "网络流入带宽",
-        "maxPerRow": 4,
-        "options": {
-          "tooltip": {
-            "mode": "all",
-            "sort": "none"
-          },
-          "legend": {
-            "displayMode": "hidden",
-            "behaviour": "showItem"
-          },
-          "standardOptions": {
-            "util": "bytesSecIEC"
-          },
-          "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"
-          }
-        },
-        "overrides": [
-          {
-            "matcher": {
-              "id": "byFrameRefID"
-            },
-            "properties": {
-              "rightYAxisDisplay": "off"
-            }
-          }
-        ]
-      },
-      {
-        "type": "timeseries",
-        "id": "b979878a-81a6-4c0d-960d-22a736d00655",
-        "layout": {
-          "h": 4,
-          "w": 8,
-          "x": 8,
-          "y": 15,
-          "i": "86f9e07f-85dc-44e0-8245-ca0a9b0dfa81",
-          "isResizable": true
-        },
-        "version": "3.0.0",
-        "datasourceCate": "prometheus",
-        "datasourceValue": "${datasource}",
-        "targets": [
-          {
-            "expr": "AliyunRds_MySQL_NetworkOutNew{instanceName=\"$instance\"}/ 8",
-            "legend": "",
-            "refId": "A",
-            "maxDataPoints": 240
-          }
-        ],
-        "transformations": [
-          {
-            "id": "organize",
-            "options": {}
-          }
-        ],
-        "name": "网络流出带宽",
-        "maxPerRow": 4,
-        "options": {
-          "tooltip": {
-            "mode": "all",
-            "sort": "none"
-          },
-          "legend": {
-            "displayMode": "hidden",
-            "behaviour": "showItem"
-          },
-          "standardOptions": {
-            "util": "bytesSecIEC"
-          },
-          "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"
-          }
-        },
-        "overrides": [
-          {
-            "matcher": {
-              "id": "byFrameRefID"
-            },
-            "properties": {
-              "rightYAxisDisplay": "off"
-            }
-          }
-        ]
-      },
-      {
-        "type": "row",
-        "id": "6d896a20-bf04-4dc7-94da-1394ef109848",
-        "name": "性能指标",
-        "collapsed": true,
-        "layout": {
-          "h": 1,
-          "w": 24,
-          "x": 0,
-          "y": 19,
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-        "type": "timeseries",
-        "id": "2e545b2b-130b-4829-a2d2-ee5305c302aa",
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-          "isResizable": true
-        },
-        "version": "3.0.0",
-        "datasourceCate": "prometheus",
-        "datasourceValue": "${datasource}",
-        "targets": [
-          {
-            "expr": "AliyunRds_MySQL_QPS{instanceName=\"$instance\"}",
-            "legend": "",
-            "refId": "A",
-            "maxDataPoints": 240
-          }
-        ],
-        "transformations": [
-          {
-            "id": "organize",
-            "options": {}
-          }
-        ],
-        "name": "QPS",
-        "maxPerRow": 4,
-        "options": {
-          "tooltip": {
-            "mode": "all",
-            "sort": "none"
-          },
-          "legend": {
-            "displayMode": "hidden",
-            "behaviour": "showItem"
-          },
-          "standardOptions": {
-            "util": "reqps"
-          },
-          "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"
-          }
-        },
-        "overrides": [
-          {
-            "matcher": {
-              "id": "byFrameRefID"
-            },
-            "properties": {
-              "rightYAxisDisplay": "off"
-            }
-          }
-        ]
-      },
-      {
-        "type": "timeseries",
-        "id": "0299da4b-d779-4ed7-9cd5-096f43181b2e",
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-          "y": 20,
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-          "isResizable": true
-        },
-        "version": "3.0.0",
-        "datasourceCate": "prometheus",
-        "datasourceValue": "${datasource}",
-        "targets": [
-          {
-            "expr": "AliyunRds_MySQL_TPS{instanceName=\"$instance\"}",
-            "legend": "",
-            "refId": "A",
-            "maxDataPoints": 240
-          }
-        ],
-        "transformations": [
-          {
-            "id": "organize",
-            "options": {}
-          }
-        ],
-        "name": "TPS",
-        "maxPerRow": 4,
-        "options": {
-          "tooltip": {
-            "mode": "all",
-            "sort": "none"
-          },
-          "legend": {
-            "displayMode": "hidden",
-            "behaviour": "showItem"
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-          "standardOptions": {
-            "util": "reqps"
-          },
-          "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"
-          }
-        },
-        "overrides": [
-          {
-            "matcher": {
-              "id": "byFrameRefID"
-            },
-            "properties": {
-              "rightYAxisDisplay": "off"
-            }
-          }
-        ]
-      },
-      {
-        "type": "timeseries",
-        "id": "56a0e345-1d4d-4051-a3cf-738bea220f96",
-        "layout": {
-          "h": 4,
-          "w": 8,
-          "x": 16,
-          "y": 20,
-          "i": "d1752ed4-f4a1-4c4b-854f-1c2ef01b34a4",
-          "isResizable": true
-        },
-        "version": "3.0.0",
-        "datasourceCate": "prometheus",
-        "datasourceValue": "${datasource}",
-        "targets": [
-          {
-            "expr": "AliyunRds_MySQL_IbufUseRatio{instanceName=\"$instance\"}",
-            "legend": "",
-            "refId": "A",
-            "maxDataPoints": 240
-          }
-        ],
-        "transformations": [
-          {
-            "id": "organize",
-            "options": {}
-          }
-        ],
-        "name": "BP利用率",
-        "maxPerRow": 4,
-        "options": {
-          "tooltip": {
-            "mode": "all",
-            "sort": "none"
-          },
-          "legend": {
-            "displayMode": "hidden",
-            "behaviour": "showItem"
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-          "standardOptions": {},
-          "thresholds": {
-            "steps": [
-              {
-                "color": "#634CD9",
-                "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"
-          }
-        },
-        "overrides": [
-          {
-            "matcher": {
-              "id": "byFrameRefID"
-            },
-            "properties": {
-              "rightYAxisDisplay": "off"
-            }
-          }
-        ]
-      }
-    ],
-    "var": [
-      {
-        "name": "datasource",
-        "label": "datasource",
-        "type": "datasource",
-        "hide": false,
-        "definition": "prometheus"
-      },
-      {
-        "name": "instance",
-        "label": "",
-        "type": "query",
-        "hide": false,
-        "datasource": {
-          "cate": "prometheus",
-          "value": "${datasource}"
-        },
-        "definition": "label_values(AliyunRds_MySQL_SlowQueries, instanceName)"
-      }
-    ],
-    "version": "3.0.0"
-  },
-  "uuid": 1717556327098444000
-}

integrations/AliYun/dashboards/rds.json

@@ -1,346 +1,334 @@
 {
-    "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": {
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-                    "fillOpacity": 0.3,
-                    "gradientMode": "opacity",
-                    "lineInterpolation": "smooth",
-                    "lineWidth": 2,
-                    "scaleDistribution": {
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-                    },
-                    "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": {
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-                    },
-                    "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": {
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-                    },
-                    "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"
-            }
+  "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"
+          }
         ],
-        "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": "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=\"$instance_id\"}) by (instance_id)",
+            "legend": "",
+            "refId": "A"
+          }
         ],
-        "version": "3.0.0"
-    },
-    "public": 0,
-    "public_cate": 0,
-    "bgids": null,
-    "built_in": 0,
-    "hide": 0,
-    "uuid": 1717556327125143000
-}
+        "type": "timeseries",
+        "version": "2.0.0"
+      },
+      {
+        "custom": {
+          "drawStyle": "lines",
+          "fillOpacity": 0.3,
+          "gradientMode": "opacity",
+          "lineInterpolation": "smooth",
+          "lineWidth": 2,
+          "scaleDistribution": {
+            "type": "linear"
+          },
+          "spanNulls": false,
+          "stack": "off"
+        },
+        "datasourceCate": "prometheus",
+        "datasourceValue": "${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"
+  }
+}

integrations/AliYun/dashboards/redis.json

@@ -1,331 +1,319 @@
 {
-    "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=\"$instance_id\"}) by (instance_id)",
-                        "legend": "out",
-                        "refId": "B"
-                    }
-                ],
-                "type": "timeseries",
-                "version": "2.0.0"
-            }
+  "name": "阿里云REDIS",
+  "tags": "",
+  "ident": "",
+  "configs": {
+    "panels": [
+      {
+        "custom": {
+          "drawStyle": "lines",
+          "fillOpacity": 0.3,
+          "gradientMode": "opacity",
+          "lineInterpolation": "smooth",
+          "lineWidth": 2,
+          "scaleDistribution": {
+            "type": "linear"
+          },
+          "spanNulls": false,
+          "stack": "off"
+        },
+        "datasourceCate": "prometheus",
+        "datasourceValue": "${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=\"$instance_id\"}) by (instance_id)",
+            "legend": "",
+            "refId": "A"
+          }
         ],
-        "var": [
-            {
-                "definition": "prometheus",
-                "name": "datasource",
-                "type": "datasource"
-            },
-            {
-                "datasource": {
-                    "cate": "prometheus",
-                    "value": "${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": "${datasource}",
+        "id": "c43eb882-915f-4c38-a0b5-8f33c21ab44a",
+        "layout": {
+          "h": 4,
+          "i": "09903231-6557-42be-9cf3-2873878e9bf2",
+          "isResizable": true,
+          "w": 12,
+          "x": 12,
+          "y": 0
+        },
+        "maxPerRow": 4,
+        "name": "内存平均使用率",
+        "options": {
+          "legend": {
+            "displayMode": "hidden"
+          },
+          "standardOptions": {},
+          "thresholds": {
+            "steps": [
+              {
+                "color": "#634CD9",
+                "type": "base",
+                "value": null
+              }
+            ]
+          },
+          "tooltip": {
+            "mode": "all",
+            "sort": "none"
+          }
+        },
+        "targets": [
+          {
+            "expr": "sum(aliyun_acs_kvstore_memory_usage_average{instance_id=\"$instance_id\"}) by (instance_id)",
+            "legend": "",
+            "refId": "A"
+          }
         ],
-        "version": "3.0.0"
-    },
-    "public": 0,
-    "public_cate": 0,
-    "bgids": null,
-    "built_in": 0,
-    "hide": 0,
-    "uuid": 1717556327128561000
-}
+        "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"
+  }
+}

integrations/AliYun/dashboards/redis_new.json

@@ -1,449 +1,437 @@
 {
-    "id": 0,
-    "group_id": 0,
-    "name": "阿里云REDIS_N",
-    "ident": "",
-    "tags": "",
-    "create_at": 0,
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+        "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"
+  }
+}

integrations/AliYun/dashboards/slb.json

@@ -1,400 +1,388 @@
 {
-    "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=~\"$instance_id\"}) by (instance_id)",
-                        "legend": "{{instance_id}} 入流量",
-                        "refId": "B"
-                    }
-                ],
-                "type": "timeseries",
-                "version": "2.0.0"
-            }
+  "name": "阿里云SLB",
+  "tags": "",
+  "ident": "",
+  "configs": {
+    "panels": [
+      {
+        "custom": {
+          "drawStyle": "lines",
+          "fillOpacity": 0.3,
+          "gradientMode": "opacity",
+          "lineInterpolation": "smooth",
+          "lineWidth": 2,
+          "scaleDistribution": {
+            "type": "linear"
+          },
+          "spanNulls": false,
+          "stack": "off"
+        },
+        "datasourceCate": "prometheus",
+        "datasourceName": "Default",
+        "id": "aa8b2623-1e14-43cd-a3c4-33944a61fcc5",
+        "layout": {
+          "h": 4,
+          "i": "aa8b2623-1e14-43cd-a3c4-33944a61fcc5",
+          "isResizable": true,
+          "w": 12,
+          "x": 0,
+          "y": 0
+        },
+        "maxPerRow": 4,
+        "name": "七层实例QPS使用率(%)",
+        "options": {
+          "legend": {
+            "displayMode": "hidden"
+          },
+          "standardOptions": {},
+          "thresholds": {
+            "steps": [
+              {
+                "color": "#634CD9",
+                "type": "base",
+                "value": null
+              }
+            ]
+          },
+          "tooltip": {
+            "mode": "all",
+            "sort": "none"
+          }
+        },
+        "targets": [
+          {
+            "expr": "sum(aliyun_acs_slb_dashboard_instance_qps_utilization_average{instance_id=~\"$instance_id\"}) by (instance_id)",
+            "legend": "{{instance_id}} QPS使用率 ",
+            "refId": "A"
+          }
         ],
-        "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": "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"
+          }
         ],
-        "version": "3.0.0"
-    },
-    "public": 0,
-    "public_cate": 0,
-    "bgids": null,
-    "built_in": 0,
-    "hide": 0,
-    "uuid": 1717556327138375000
-}
+        "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"
+  }
+}

integrations/AliYun/dashboards/waf.json

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

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

@@ -1,9 +0,0 @@
-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

@@ -1,983 +0,0 @@
-{
-    "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=${__field.labels.topic}"
-                        }
-                    ],
-                    "showHeader": true
-                },
-                "datasourceCate": "prometheus",
-                "datasourceValue": "${DS_PROMETHEUS}",
-                "id": "90716481-5dd6-4c4e-8219-cbcb724a22d9",
-                "layout": {
-                    "h": 4,
-                    "i": "90716481-5dd6-4c4e-8219-cbcb724a22d9",
-                    "isResizable": true,
-                    "w": 24,
-                    "x": 0,
-                    "y": 13
-                },
-                "links": [],
-                "maxPerRow": 4,
-                "name": "Topic Statistics",
-                "options": {
-                    "standardOptions": {
-                        "decimals": 2
-                    }
-                },
-                "overrides": [
-                    {
-                        "matcher": {
-                            "id": "byFrameRefID",
-                            "value": "D"
-                        },
-                        "properties": {
-                            "standardOptions": {
-                                "decimals": 2,
-                                "util": "bytesIEC"
-                            },
-                            "valueMappings": []
-                        }
-                    },
-                    {
-                        "matcher": {
-                            "id": "byFrameRefID",
-                            "value": "A"
-                        },
-                        "properties": {
-                            "standardOptions": {
-                                "decimals": 1,
-                                "util": "bytesSecIEC"
-                            }
-                        },
-                        "type": "special"
-                    },
-                    {
-                        "matcher": {
-                            "id": "byFrameRefID",
-                            "value": "B"
-                        },
-                        "properties": {
-                            "standardOptions": {
-                                "decimals": 1,
-                                "util": "bytesSecIEC"
-                            }
-                        },
-                        "type": "special"
-                    }
-                ],
-                "targets": [
-                    {
-                        "expr": "sum by(topic) (rate(kafka_network_io_bytes_total{job=\"$cluster_id\", direction=\"in\"}[$__rate_interval]))",
-                        "legend": "Bytes in",
-                        "maxDataPoints": 240,
-                        "refId": "A"
-                    },
-                    {
-                        "expr": "sum by(topic) (rate(kafka_network_io_bytes_total{job=\"$cluster_id\", direction=\"out\"}[$__rate_interval]))",
-                        "legend": "Bytes out",
-                        "maxDataPoints": 240,
-                        "refId": "B"
-                    },
-                    {
-                        "expr": "sum by(topic) (rate(kafka_message_count_total{job=\"$cluster_id\", direction=\"in\"}[$__rate_interval]))",
-                        "legend": "Msgs in",
-                        "maxDataPoints": 240,
-                        "refId": "C"
-                    },
-                    {
-                        "expr": "sum by(topic) (kafka_log_size{job=\"$cluster_id\"})",
-                        "legend": "Size",
-                        "maxDataPoints": 240,
-                        "refId": "D"
-                    }
-                ],
-                "transformations": [
-                    {
-                        "id": "organize",
-                        "options": {}
-                    }
-                ],
-                "type": "table",
-                "version": "3.0.0"
-            },
-            {
-                "custom": {
-                    "aggrDimension": [
-                        "instance"
-                    ],
-                    "calc": "lastNotNull",
-                    "colorMode": "value",
-                    "displayMode": "labelValuesToRows",
-                    "linkMode": "appendLinkColumn",
-                    "links": [
-                        {
-                            "title": "下钻",
-                            "url": "/dashboards/automq-broker-metrics?DS_PROMETHEUS=${DS_PROMETHEUS}\u0026cluster_id=${cluster_id}\u0026node_id=${__field.labels.instance}"
-                        }
-                    ],
-                    "showHeader": true
-                },
-                "datasourceCate": "prometheus",
-                "datasourceValue": "${DS_PROMETHEUS}",
-                "id": "a427c6d3-0fab-45c2-92e5-585e5435fcfe",
-                "layout": {
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-                    "i": "a427c6d3-0fab-45c2-92e5-585e5435fcfe",
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-                    "w": 24,
-                    "x": 0,
-                    "y": 17
-                },
-                "links": [],
-                "maxPerRow": 4,
-                "name": "Broker Statistics",
-                "options": {
-                    "standardOptions": {}
-                },
-                "overrides": [
-                    {
-                        "matcher": {
-                            "id": "byFrameRefID",
-                            "value": "C"
-                        },
-                        "properties": {
-                            "standardOptions": {
-                                "util": "bytesSecIEC"
-                            }
-                        }
-                    },
-                    {
-                        "matcher": {
-                            "id": "byFrameRefID",
-                            "value": "D"
-                        },
-                        "properties": {
-                            "standardOptions": {
-                                "util": "bytesSecIEC"
-                            }
-                        },
-                        "type": "special"
-                    },
-                    {
-                        "matcher": {
-                            "id": "byFrameRefID",
-                            "value": "H"
-                        },
-                        "properties": {
-                            "standardOptions": {
-                                "util": "milliseconds"
-                            }
-                        },
-                        "type": "special"
-                    },
-                    {
-                        "matcher": {
-                            "id": "byFrameRefID",
-                            "value": "I"
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-                        "properties": {
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-                ],
-                "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\"}[$__rate_interval]))",
-                        "legend": "Failed Fetch",
-                        "maxDataPoints": 240,
-                        "refId": "K"
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-                    {
-                        "expr": "sum by(instance) (rate(kafka_request_error_count_total{job=\"$cluster_id\", error!=\"NONE\"}[$__rate_interval]))",
-                        "legend": "Error Request",
-                        "maxDataPoints": 240,
-                        "refId": "L"
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-                        "options": {
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-                "type": "datasource"
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-            {
-                "allOption": false,
-                "datasource": {
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-                    "value": "${DS_PROMETHEUS}"
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-                "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": "${DS_PROMETHEUS}"
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-                "definition": "label_values(kafka_controller_active_count{job=\"$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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-    "public": 0,
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-    "built_in": 0,
-    "hide": 0,
-    "uuid": 1717556327162929000
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integrations/AutoMQ/dashboards/group_metrics.json

@@ -1,238 +0,0 @@
-{
-    "id": 0,
-    "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",
-                    "lineWidth": 1,
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-                    "spanNulls": false,
-                    "stack": "off"
-                },
-                "datasourceCate": "prometheus",
-                "datasourceValue": "${TSDB}",
-                "id": "cac8a249-bb61-4c2d-bc90-91a7dac58f3b",
-                "layout": {
-                    "h": 5,
-                    "i": "cac8a249-bb61-4c2d-bc90-91a7dac58f3b",
-                    "isResizable": true,
-                    "w": 12,
-                    "x": 0,
-                    "y": 0
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-                "links": [],
-                "maxPerRow": 4,
-                "name": "Consumer Throughput",
-                "options": {
-                    "legend": {
-                        "behaviour": "showItem",
-                        "displayMode": "hidden",
-                        "placement": "bottom"
-                    },
-                    "standardOptions": {
-                        "util": "none"
-                    },
-                    "thresholds": {
-                        "steps": [
-                            {
-                                "color": "#73BF69",
-                                "type": "base",
-                                "value": null
-                            }
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-                    "tooltip": {
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-                        "sort": "desc"
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-                        },
-                        "properties": {
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-                "targets": [
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-                        "expr": "sum by(consumer_group, topic, partition) (rate(kafka_group_commit_offset{job=\"$cluster_id\", consumer_group=~\"$group_id\", topic=~\"$topic\", partition=~\"$partition\"}[$__rate_interval]))",
-                        "legend": "{{consumer_group}}#{{topic}}-{{partition}}",
-                        "maxDataPoints": 240,
-                        "refId": "A"
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-                "datasourceCate": "prometheus",
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-                "id": "fc0afd7c-0161-4ee4-88de-81c74f432769",
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-                    "standardOptions": {
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-                    "thresholds": {
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-                "name": "TSDB",
-                "type": "datasource"
-            },
-            {
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-                    "value": "${TSDB}"
-                },
-                "definition": "label_values(process_runtime_jvm_cpu_utilization_ratio,job)",
-                "hide": false,
-                "multi": false,
-                "name": "cluster_id",
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-                "type": "query"
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-                "allOption": true,
-                "datasource": {
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-                "definition": "label_values(kafka_group_commit_offset,consumer_group)",
-                "hide": false,
-                "multi": true,
-                "name": "group_id",
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-                "type": "query"
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-                "definition": "label_values(kafka_group_commit_offset,topic)",
-                "hide": false,
-                "multi": true,
-                "name": "topic",
-                "reg": "",
-                "type": "query"
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-                "allOption": true,
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-                    "value": "${TSDB}"
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-                "definition": "label_values(kafka_group_commit_offset,partition)",
-                "hide": false,
-                "multi": true,
-                "name": "partition",
-                "reg": "",
-                "type": "query"
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-        "version": "3.0.0"
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-    "hide": 0,
-    "uuid": 1717556327172992000
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integrations/AutoMQ/dashboards/topic_metrics.json

@@ -1,729 +0,0 @@
-{
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-    "group_id": 0,
-    "name": "Topic Metrics",
-    "ident": "automq-topic-metrics",
-    "tags": "",
-    "create_at": 0,
-    "create_by": "",
-    "update_at": 0,
-    "update_by": "",
-    "configs": {
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-        "panels": [
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-                    "calc": "lastNotNull",
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-                    "colorMode": "background",
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-                    "textMode": "valueAndName",
-                    "textSize": {},
-                    "valueField": "Value"
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-                "datasourceCate": "prometheus",
-                "datasourceValue": "${TSDB}",
-                "id": "d4df5a68-ae8b-40e9-8f88-cd2e3f88e783",
-                "layout": {
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-                    "i": "d4df5a68-ae8b-40e9-8f88-cd2e3f88e783",
-                    "isResizable": true,
-                    "w": 5,
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-                "links": [],
-                "maxPerRow": 4,
-                "options": {
-                    "standardOptions": {
-                        "util": "none"
-                    },
-                    "thresholds": {
-                        "steps": [
-                            {
-                                "color": "rgba(44, 157, 61, 1)",
-                                "type": "base",
-                                "value": null
-                            }
-                        ]
-                    },
-                    "valueMappings": []
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-                "targets": [
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-                        "expr": "sum by(job) (rate(kafka_network_io_bytes_total{job=\"$cluster_id\", topic=~\"$topic\", partition=~\"$partition\", direction=\"in\"}[$__rate_interval]))",
-                        "legend": "Bytes In Total",
-                        "maxDataPoints": 240,
-                        "refId": "A"
-                    }
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-                "transformations": [
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-                        "options": {}
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-                "type": "stat",
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-                    "valueField": "Value"
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-                "datasourceCate": "prometheus",
-                "datasourceValue": "${TSDB}",
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-                "options": {
-                    "standardOptions": {
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-                        "util": "bytesIEC"
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-                    "thresholds": {
-                        "steps": [
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-                                "color": "rgba(148, 112, 255, 1)",
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-                        "expr": "sum by(topic) (kafka_log_size{job=\"$cluster_id\", topic=~\"$topic\"})",
-                        "legend": "Size",
-                        "maxDataPoints": 240,
-                        "refId": "A"
-                    }
-                ],
-                "transformations": [
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-                        "options": {}
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-            {
-                "custom": {
-                    "drawStyle": "lines",
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-                    "lineInterpolation": "linear",
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-                "maxPerRow": 4,
-                "name": "Messages In",
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-                        "steps": [
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-                "name": "Request Throughput",
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integrations/AutoMQ/markdown/overview.md

@@ -1,20 +0,0 @@
-## 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

@@ -1,887 +0,0 @@
-[
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-        "uuid": 1717556327176351000,
-        "collector": "Exporter",
-        "typ": "AutoMQ",
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-        "unit": "bytesSecSI",
-        "note": "",
-        "lang": "zh_CN",
-        "expression": "sum by(job, instance) (rate(kafka_network_io_bytes_total{direction=\"in\"}[1m]))",
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-        "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]))",
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-        "name": "Broker节点当前分配的分区数量",
-        "unit": "sishort",
-        "note": "",
-        "lang": "zh_CN",
-        "expression": "kafka_partition_count",
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-        "typ": "AutoMQ",
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-        "unit": "sishort",
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-        "lang": "zh_CN",
-        "expression": "sum by(job, instance) (rate(kafka_message_count_total[1m]))",
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-        "unit": "none",
-        "note": "",
-        "lang": "zh_CN",
-        "expression": "sum by(job, consumer_group, topic) (max by(job, consumer_group, topic, partition) (kafka_group_commit_offset))",
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-        "unit": "reqps",
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integrations/ClickHouse/alerts/clickhouse_by_categraf.json

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-    }
-]