Prometheus 监控应用数据
- 上文对Springboot的应用,去添加一些Prometheus的监控项,往外输出自己的监控数据
- 有了这些matrix监控数据, Prometheus就能对它进行一个监控
- 监控配置好了之后,还要在 Grafana 里面去显示 Prometheus 的一些数据
- 首先,在 Prometheus 中定义一些 Matrix 去收集监控数据
- 注意,里面的 static_configs 配置的地址是
- Prometheus 的服务地址和端口
- 以及博客应用提供的Prometheus的接口地址
- 下面的配置文件中涉及到ip的配置请设置成自己的
- 这个 configMap 将来会输出为 prometheus.yaml 文件
- 这个文件会被 prometheus 的 pod 挂载到 prometheus 的配置文件项目里
- 相当于通过 Deployment 去挂载,具体挂载路径为:/etc/prometheus/prometheus.yaml
volumeMounts: - name: config-volume mountPath: /etc/prometheus volumes: - name: config-volume configMap: name: kubeblog-config - 启动起来之后,可以留意一下
- 注意,里面的 static_configs 配置的地址是
2 )一键部署
-
部署这个文件之前,可以先清理之前在这个命名空间,重新进行部署
- $
kubectl delete ns monitoring
- $
-
现在编写这个文件 $
vi app-prometheus-all.yaml -
注意,下面两个 job_name 下定义的 target 地址 换成自己的
apiVersion: v1 kind: Namespace metadata: name: monitoring --- apiVersion: rbac.authorization.k8s.io/v1 kind: ClusterRoleBinding metadata: name: prometheus roleRef: apiGroup: rbac.authorization.k8s.io kind: ClusterRole name: prometheus subjects: - kind: ServiceAccount name: prometheus-k8s namespace: monitoring --- apiVersion: rbac.authorization.k8s.io/v1 kind: ClusterRole metadata: name: prometheus rules: - apiGroups: [""] resources: - nodes - nodes/proxy - services - endpoints - pods verbs: ["get", "list", "watch"] - apiGroups: [""] resources: - configmaps verbs: ["get"] - nonResourceURLs: ["/metrics"] verbs: ["get"] --- apiVersion: v1 kind: ServiceAccount metadata: name: prometheus-k8s namespace: monitoring --- apiVersion: v1 kind: Service metadata: name: prometheus namespace: monitoring labels: app: prometheus component: core annotations: prometheus.io/scrape: 'true' spec: type: NodePort ports: - port: 9090 protocol: TCP name: webui nodePort: 30091 selector: app: prometheus component: core --- apiVersion: v1 kind: ConfigMap metadata: name: kubeblog-config namespace: monitoring data: prometheus.yaml: | global: scrape_interval: 10s # Set the scrape interval to every 15 seconds. Default is every 1 minute. evaluation_interval: 10s # Evaluate rules every 15 seconds. The default is every 1 minute. # Alertmanager configuration alerting: alertmanagers: - static_configs: - targets: # - alertmanager:9093 # Load rules once and periodically evaluate them according to the global 'evaluation_interval'. rule_files: # - "first_rules.yml" # - "second_rules.yml" # A scrape configuration containing exactly one endpoint to scrape: # Here it's Prometheus itself. scrape_configs: # The job name is added as a label `job=<job_name>` to any timeseries scraped from this config. - job_name: 'prometheus' # metrics_path defaults to '/metrics' # scheme defaults to 'http'. static_configs: - targets: ['10.211.10.5:30091'] - job_name: 'spring-actuator' metrics_path: '/actuator/prometheus' scrape_interval: 5s static_configs: - targets: ['10.211.10.5:30002'] --- apiVersion: v1 kind: Secret data: admin-password: YWRtaW4= admin-username: YWRtaW4= metadata: name: grafana namespace: monitoring type: Opaque --- apiVersion: apps/v1 kind: Deployment metadata: name: prometheus-core namespace: monitoring labels: app: prometheus component: core spec: replicas: 1 selector: matchLabels: app: prometheus component: core template: metadata: name: prometheus-main labels: app: prometheus component: core spec: serviceAccountName: prometheus-k8s containers: - name: prometheus image: prom/prometheus:v1.7.0 args: - '-storage.local.retention=12h' - '-storage.local.memory-chunks=500000' - '-config.file=/etc/prometheus/prometheus.yaml' - '-alertmanager.url=http://alertmanager:9093/' ports: - name: webui containerPort: 9090 resources: requests: cpu: 500m memory: 500M limits: cpu: 500m memory: 500M volumeMounts: - name: config-volume mountPath: /etc/prometheus # - name: rules-volume # mountPath: /etc/prometheus-rules volumes: - name: config-volume configMap: name: kubeblog-config -
$
vi app-grafana-all.yaml编写 grafana 配置apiVersion: v1 kind: ConfigMap metadata: creationTimestamp: null name: grafana-import-dashboards namespace: monitoring data: grafana-net-2-dashboard.json: | { "__inputs": [{ "name": "DS_PROMETHEUS", "label": "Prometheus", "description": "", "type": "datasource", "pluginId": "prometheus", "pluginName": "Prometheus" }], "__requires": [{ "type": "panel", "id": "singlestat", "name": "Singlestat", "version": "" }, { "type": "panel", "id": "text", "name": "Text", "version": "" }, { "type": "panel", "id": "graph", "name": "Graph", "version": "" }, { "type": "grafana", "id": "grafana", "name": "Grafana", "version": "3.1.0" }, { "type": "datasource", "id": "prometheus", "name": "Prometheus", "version": "1.0.0" }], "id": null, "title": "Prometheus Stats", "tags": [], "style": "dark", "timezone": "browser", "editable": true, "hideControls": true, "sharedCrosshair": false, "rows": [{ "collapse": false, "editable": true, "height": 178, "panels": [{ "cacheTimeout": null, "colorBackground": false, "colorValue": false, "colors": ["rgba(245, 54, 54, 0.9)", "rgba(237, 129, 40, 0.89)", "rgba(50, 172, 45, 0.97)"], "datasource": "${DS_PROMETHEUS}", "decimals": 1, "editable": true, "error": false, "format": "s", "id": 5, "interval": null, "links": [], "maxDataPoints": 100, "nullPointMode": "connected", "nullText": null, "postfix": "", "postfixFontSize": "50%", "prefix": "", "prefixFontSize": "50%", "span": 3, "sparkline": { "fillColor": "rgba(31, 118, 189, 0.18)", "full": false, "lineColor": "rgb(31, 120, 193)", "show": false }, "targets": [{ "expr": "(time() - process_start_time_seconds{job=\"prometheus\"})", "intervalFactor": 2, "refId": "A", "step": 4 }], "thresholds": "", "title": "Uptime", "type": "singlestat", "valueFontSize": "80%", "valueMaps": [{ "op": "=", "text": "N/A", "value": "null" }], "valueName": "current", "mappingTypes": [{ "name": "value to text", "value": 1 }, { "name": "range to text", "value": 2 }], "rangeMaps": [{ "from": "null", "to": "null", "text": "N/A" }], "mappingType": 1, "gauge": { "show": false, "minValue": 0, "maxValue": 100, "thresholdMarkers": true, "thresholdLabels": false } }, { "cacheTimeout": null, "colorBackground": false, "colorValue": false, "colors": ["rgba(50, 172, 45, 0.97)", "rgba(237, 129, 40, 0.89)", "rgba(245, 54, 54, 0.9)"], "datasource": "${DS_PROMETHEUS}", "editable": true, "error": false, "format": "none", "id": 6, "interval": null, "links": [], "maxDataPoints": 100, "nullPointMode": "connected", "nullText": null, "postfix": "", "postfixFontSize": "50%", "prefix": "", "prefixFontSize": "50%", "span": 3, "sparkline": { "fillColor": "rgba(31, 118, 189, 0.18)", "full": false, "lineColor": "rgb(31, 120, 193)", "show": true }, "targets": [{ "expr": "prometheus_local_storage_memory_series", "intervalFactor": 2, "refId": "A", "step": 4 }], "thresholds": "1,5", "title": "Local Storage Memory Series", "type": "singlestat", "valueFontSize": "70%", "valueMaps": [], "valueName": "current", "mappingTypes": [{ "name": "value to text", "value": 1 }, { "name": "range to text", "value": 2 }], "rangeMaps": [{ "from": "null", "to": "null", "text": "N/A" }], "mappingType": 1, "gauge": { "show": false, "minValue": 0, "maxValue": 100, "thresholdMarkers": true, "thresholdLabels": false } }, { "cacheTimeout": null, "colorBackground": false, "colorValue": true, "colors": ["rgba(50, 172, 45, 0.97)", "rgba(237, 129, 40, 0.89)", "rgba(245, 54, 54, 0.9)"], "datasource": "${DS_PROMETHEUS}", "editable": true, "error": false, "format": "none", "id": 7, "interval": null, "links": [], "maxDataPoints": 100, "nullPointMode": "connected", "nullText": null, "postfix": "", "postfixFontSize": "50%", "prefix": "", "prefixFontSize": "50%", "span": 3, "sparkline": { "fillColor": "rgba(31, 118, 189, 0.18)", "full": false, "lineColor": "rgb(31, 120, 193)", "show": true }, "targets": [{ "expr": "prometheus_local_storage_indexing_queue_length", "intervalFactor": 2, "refId": "A", "step": 4 }], "thresholds": "500,4000", "title": "Internal Storage Queue Length", "type": "singlestat", "valueFontSize": "70%", "valueMaps": [{ "op": "=", "text": "Empty", "value": "0" }], "valueName": "current", "mappingTypes": [{ "name": "value to text", "value": 1 }, { "name": "range to text", "value": 2 }], "rangeMaps": [{ "from": "null", "to": "null", "text": "N/A" }], "mappingType": 1, "gauge": { "show": false, "minValue": 0, "maxValue": 100, "thresholdMarkers": true, "thresholdLabels": false } }, { "content": "<img src=\"http://prometheus.io/assets/prometheus_logo_grey.svg\" alt=\"Prometheus logo\" style=\"height: 40px;\">\n<span style=\"font-family: 'Open Sans', 'Helvetica Neue', Helvetica; font-size: 25px;vertical-align: text-top;color: #bbbfc2;margin-left: 10px;\">Prometheus</span>\n\n<p style=\"margin-top: 10px;\">You're using Prometheus, an open-source systems monitoring and alerting toolkit originally built at SoundCloud. For more information, check out the <a href=\"http://www.grafana.org/\">Grafana</a> and <a href=\"http://prometheus.io/\">Prometheus</a> projects.</p>", "editable": true, "error": false, "id": 9, "links": [], "mode": "html", "span": 3, "style": {}, "title": "", "transparent": true, "type": "text" }], "title": "New row" }, { "collapse": false, "editable": true, "height": 227, "panels": [{ "aliasColors": { "prometheus": "#C15C17", "{instance=\"localhost:9090\",job=\"prometheus\"}": "#C15C17" }, "bars": false, "datasource": "${DS_PROMETHEUS}", "editable": true, "error": false, "fill": 1, "grid": { "threshold1": null, "threshold1Color": "rgba(216, 200, 27, 0.27)", "threshold2": null, "threshold2Color": "rgba(234, 112, 112, 0.22)" }, "id": 3, "legend": { "avg": false, "current": false, "max": false, "min": false, "show": true, "total": false, "values": false }, "lines": true, "linewidth": 2, "links": [], "nullPointMode": "connected", "percentage": false, "pointradius": 2, "points": false, "renderer": "flot", "seriesOverrides": [], "span": 9, "stack": false, "steppedLine": false, "targets": [{ "expr": "rate(prometheus_local_storage_ingested_samples_total[5m])", "interval": "", "intervalFactor": 2, "legendFormat": "{{job}}", "metric": "", "refId": "A", "step": 2 }], "timeFrom": null, "timeShift": null, "title": "Samples ingested (rate-5m)", "tooltip": { "shared": true, "value_type": "cumulative", "ordering": "alphabetical", "msResolution": false }, "type": "graph", "yaxes": [{ "show": true, "min": null, "max": null, "logBase": 1, "format": "short" }, { "show": true, "min": null, "max": null, "logBase": 1, "format": "short" }], "xaxis": { "show": true } }, { "content": "#### Samples Ingested\nThis graph displays the count of samples ingested by the Prometheus server, as measured over the last 5 minutes, per time series in the range vector. When troubleshooting an issue on IRC or Github, this is often the first stat requested by the Prometheus team. 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Target scrapes will show how frequently targets are scraped, as measured over the last 5 minutes, per time series in the range vector. Scrape Duration will show how long the scrapes are taking, with percentiles available as series. ", "editable": true, "error": false, "id": 11, "links": [], "mode": "markdown", "span": 3, "style": {}, "title": "", "transparent": true, "type": "text" }], "title": "New row" }, { "collapse": false, "editable": true, "height": "250px", "panels": [{ "aliasColors": {}, "bars": false, "datasource": "${DS_PROMETHEUS}", "decimals": null, "editable": true, "error": false, "fill": 1, "grid": { "threshold1": null, "threshold1Color": "rgba(216, 200, 27, 0.27)", "threshold2": null, "threshold2Color": "rgba(234, 112, 112, 0.22)" }, "id": 12, "legend": { "alignAsTable": false, "avg": false, "current": false, "hideEmpty": true, "max": false, "min": false, "show": true, "total": false, "values": false }, "lines": true, "linewidth": 2, "links": [], "nullPointMode": "connected", "percentage": false, "pointradius": 5, "points": false, "renderer": "flot", "seriesOverrides": [], "span": 9, "stack": false, "steppedLine": false, "targets": [{ "expr": "prometheus_evaluator_duration_milliseconds{quantile!=\"0.01\", quantile!=\"0.05\"}", "interval": "", "intervalFactor": 2, "legendFormat": "{{quantile}}", "refId": "A", "step": 2 }], "timeFrom": null, "timeShift": null, "title": "Rule Eval Duration", "tooltip": { "shared": true, "value_type": "cumulative", "ordering": "alphabetical", "msResolution": false }, "type": "graph", "yaxes": [{ "show": true, "min": null, "max": null, "logBase": 1, "format": "percentunit", "label": "" }, { "show": true, "min": null, "max": null, "logBase": 1, "format": "short" }], "xaxis": { "show": true } }, { "content": "#### Rule Evaluation Duration\nThis graph panel plots the duration for all evaluations to execute. The 50th percentile, 90th percentile and 99th percentile are shown as three separate series to help identify outliers that may be skewing the data.", "editable": true, "error": false, "id": 15, "links": [], "mode": "markdown", "span": 3, "style": {}, "title": "", "transparent": true, "type": "text" }], "title": "New row" }], "time": { "from": "now-5m", "to": "now" }, "timepicker": { "now": true, "refresh_intervals": ["5s", "10s", "30s", "1m", "5m", "15m", "30m", "1h", "2h", "1d"], "time_options": ["5m", "15m", "1h", "6h", "12h", "24h", "2d", "7d", "30d"] }, "templating": { "list": [] }, "annotations": { "list": [] }, "refresh": false, "schemaVersion": 12, "version": 0, "links": [{ "icon": "info", "tags": [], "targetBlank": true, "title": "Grafana Docs", "tooltip": "", "type": "link", "url": "http://www.grafana.org/docs" }, { "icon": "info", "tags": [], "targetBlank": true, "title": "Prometheus Docs", "type": "link", "url": "http://prometheus.io/docs/introduction/overview/" }], 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"to": "now" }, "timepicker": { "refresh_intervals": [ "5s", "10s", "30s", "1m", "5m", "15m", "30m", "1h", "2h", "1d" ], "time_options": [ "5m", "15m", "1h", "6h", "12h", "24h", "2d", "7d", "30d" ] }, "templating": { "list": [{ "allValue": ".*", "current": {}, "datasource": "${DS_PROMETHEUS}", "hide": 0, "includeAll": true, "label": "Instance", "multi": false, "name": "instance", "options": [], "query": "label_values(instance)", "refresh": 1, "regex": "", "type": "query" }, { "current": {}, "datasource": "${DS_PROMETHEUS}", "hide": 0, "includeAll": true, "label": "Namespace", "multi": true, "name": "namespace", "options": [], "query": "label_values(namespace)", "refresh": 1, "regex": "", "type": "query" }] }, "annotations": { "list": [] }, "refresh": false, "schemaVersion": 12, "version": 8, "links": [], "gnetId": 737 } prometheus-datasource.json: | { "name": "prometheus", "type": "prometheus", "url": "http://prometheus:9090", "access": "proxy", "basicAuth": false } --- apiVersion: v1 kind: Service metadata: name: grafana namespace: monitoring labels: app: grafana component: core spec: type: NodePort ports: - port: 3000 selector: app: grafana component: core --- apiVersion: apps/v1 kind: Deployment metadata: name: grafana-core namespace: monitoring labels: app: grafana component: core spec: replicas: 1 selector: matchLabels: app: grafana component: core template: metadata: labels: app: grafana component: core spec: containers: # - image: grafana/grafana:4.2.0 - image: grafana/grafana:4.2.0 name: grafana-core imagePullPolicy: IfNotPresent # env: resources: # keep request = limit to keep this container in guaranteed class limits: cpu: 100m memory: 100Mi requests: cpu: 100m memory: 100Mi env: # The following env variables set up basic auth twith the default admin user and admin password. - name: GF_AUTH_BASIC_ENABLED value: "true" - name: GF_SECURITY_ADMIN_USER valueFrom: secretKeyRef: name: grafana key: admin-username - name: GF_SECURITY_ADMIN_PASSWORD valueFrom: secretKeyRef: name: grafana key: admin-password - name: GF_AUTH_ANONYMOUS_ENABLED value: "false" # - name: GF_AUTH_ANONYMOUS_ORG_ROLE # value: Admin # does not really work, because of template variables in exported dashboards: # - name: GF_DASHBOARDS_JSON_ENABLED # value: "true" readinessProbe: httpGet: path: /login port: 3000 # initialDelaySeconds: 30 # timeoutSeconds: 1 volumeMounts: - name: grafana-persistent-storage mountPath: /var/lib/grafana volumes: - name: grafana-persistent-storage emptyDir: {} --- apiVersion: batch/v1 kind: Job metadata: name: grafana-import-dashboards namespace: monitoring labels: app: grafana component: import-dashboards spec: template: metadata: name: grafana-import-dashboards labels: app: grafana component: import-dashboards spec: serviceAccountName: prometheus-k8s initContainers: - name: wait-for-grafana # image: giantswarm/tiny-tools image: giantswarm/tiny-tools args: - /bin/sh - -c - > set -x; while [ $(curl -sw '%{http_code}' "http://grafana:3000" -o /dev/null) -ne 200]; do echo '.' sleep 15; done containers: - name: grafana-import-dashboards # image: giantswarm/tiny-tools image: giantswarm/tiny-tools command: ["/bin/sh", "-c"] workingDir: /opt/grafana-import-dashboards args: - > for file in *-datasource.json ; do if [ -e "$file" ] ; then echo "importing $file" && curl --silent --fail --show-error \ --request POST http://${GF_ADMIN_USER}:${GF_ADMIN_PASSWORD}@grafana:3000/api/datasources \ --header "Content-Type: application/json" \ --data-binary "@$file" ; echo "" ; fi done ; for file in *-dashboard.json ; do if [ -e "$file" ] ; then echo "importing $file" && ( echo '{"dashboard":'; \ cat "$file"; \ echo ',"overwrite":true,"inputs":[{"name":"DS_PROMETHEUS","type":"datasource","pluginId":"prometheus","value":"prometheus"}]}' ) \ | jq -c '.' \ | curl --silent --fail --show-error \ --request POST http://${GF_ADMIN_USER}:${GF_ADMIN_PASSWORD}@grafana:3000/api/dashboards/import \ --header "Content-Type: application/json" \ --data-binary "@-" ; echo "" ; fi done env: - name: GF_ADMIN_USER valueFrom: secretKeyRef: name: grafana key: admin-username - name: GF_ADMIN_PASSWORD valueFrom: secretKeyRef: name: grafana key: admin-password volumeMounts: - name: config-volume mountPath: /opt/grafana-import-dashboards restartPolicy: Never volumes: - name: config-volume configMap: name: grafana-import-dashboards -
部署 Grafana $
kubectl apply -f app-grafana.yaml -
上面两套都部署完成后,验证状态
- $
kubectl get svc -n monitoring查看 grafana (比如 30982) 和 prometheus (比如:30091) 服务端口
- $
-
访问 Grafana UI界面 ip:30982 登录 添加 DataSource
- config 选项卡中 Type 选择 Prometheus, url 填写 prometheus部署的node的ip:30091
- 注意,在 prometheus部署的node的ip:30091 这个 prometheus 的 UI界面下,上面的导航栏中有 Status
- 在 Status的 下拉选项中有 Targets 点击进去可以看到 监控目标的 State 值一定是 UP,否则就是服务没有起来,就监控不到
- config 选项卡中 Type 选择 Prometheus, url 填写 prometheus部署的node的ip:30091
-
之后进行 Grafana Dashboard 的配置,现在换一个监控的模板
- 添加数据源 Prometheus
- 添加 dashboard: “dashboard->import” 输入模板 json内容
- 可以参考如下文件:jvm-micrometer.json
- 之后点击 Load, 之后 Options 下的 Select a Prometheus data source 选择 prome
- 之后,点击 Import 这时候界面就可以看到,非常漂亮的界面
-
数据面板会有延时,也可自行刷新查看,每个指标都是配置文件中定义的
-
状态会基本实时反馈到这个界面中,可以定刷新的时间,也可主动刷新
-
jvm-micrometer.json 文件如下
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"jvm_buffer_count_buffers{application=\"$application\", instance=\"$instance\", id=\"direct\"}", "format": "time_series", "intervalFactor": 2, "legendFormat": "count", "metric": "", "refId": "A", "step": 2400 } ], "thresholds": [], "timeFrom": null, "timeShift": null, "title": "Direct Buffers", "tooltip": { "msResolution": false, "shared": true, "sort": 0, "value_type": "cumulative" }, "type": "graph", "x-axis": true, "xaxis": { "buckets": null, "mode": "time", "name": null, "show": true, "values": [] }, "y-axis": true, "y_formats": [ "short", "short" ], "yaxes": [ { "decimals": 0, "format": "short", "label": null, "logBase": 1, "max": null, "min": 0, "show": true }, { "format": "short", "label": null, "logBase": 1, "max": null, "min": null, "show": true } ] }, { "aliasColors": {}, "bars": false, "dashLength": 10, "dashes": false, "datasource": "${DS_PROMETHEUS}", "editable": true, "error": false, "fill": 1, "grid": { "leftLogBase": 1, "leftMax": null, "leftMin": null, "rightLogBase": 1, "rightMax": null, "rightMin": null }, "id": 85, "legend": { "avg": false, "current": false, "max": false, "min": false, "show": true, "total": false, "values": false }, "lines": true, "linewidth": 1, "links": [], "nullPointMode": "null", "percentage": false, "pointradius": 5, "points": false, "renderer": "flot", "seriesOverrides": [], "spaceLength": 10, "span": 3, "stack": false, "steppedLine": false, "targets": [ { "expr": "jvm_buffer_memory_used_bytes{application=\"$application\", instance=\"$instance\", id=\"mapped\"}", "format": "time_series", "intervalFactor": 2, "legendFormat": "used", "metric": "", "refId": "A", "step": 2400 }, { "expr": "jvm_buffer_total_capacity_bytes{application=\"$application\", instance=\"$instance\", id=\"mapped\"}", "format": "time_series", "intervalFactor": 2, "legendFormat": "capacity", "metric": "", "refId": "B", "step": 2400 } ], "thresholds": [], "timeFrom": null, "timeShift": null, "title": "Mapped Buffers", "tooltip": { "msResolution": false, "shared": true, "sort": 0, "value_type": "cumulative" }, "type": "graph", "x-axis": true, "xaxis": { "buckets": null, "mode": "time", "name": null, "show": true, "values": [] }, "y-axis": true, "y_formats": [ "short", "short" ], "yaxes": [ { "format": "bytes", "label": null, "logBase": 1, "max": null, "min": 0, "show": true }, { "format": "short", "label": null, "logBase": 1, "max": null, "min": null, "show": true } ] }, { "aliasColors": {}, "bars": false, "dashLength": 10, "dashes": false, "datasource": "${DS_PROMETHEUS}", "editable": true, "error": false, "fill": 1, "grid": { "leftLogBase": 1, "leftMax": null, "leftMin": null, "rightLogBase": 1, "rightMax": null, "rightMin": null }, "id": 84, "legend": { "avg": false, "current": false, "max": false, "min": false, "show": true, "total": false, "values": false }, "lines": true, "linewidth": 1, "links": [], "nullPointMode": "null", "percentage": false, "pointradius": 5, "points": false, "renderer": "flot", "seriesOverrides": [], "spaceLength": 10, "span": 3, "stack": false, "steppedLine": false, "targets": [ { "expr": "jvm_buffer_count_buffers{application=\"$application\", instance=\"$instance\", id=\"mapped\"}", "format": "time_series", "intervalFactor": 2, "legendFormat": "count", "metric": "", "refId": "A", "step": 2400 } ], "thresholds": [], "timeFrom": null, "timeShift": null, "title": "Mapped Buffers", "tooltip": { "msResolution": false, "shared": true, "sort": 0, "value_type": "cumulative" }, "type": "graph", "x-axis": true, "xaxis": { "buckets": null, "mode": "time", "name": null, "show": true, "values": [] }, "y-axis": true, "y_formats": [ "short", "short" ], "yaxes": [ { "decimals": 0, "format": "short", "label": null, "logBase": 1, "max": null, "min": 0, "show": true }, { "format": "short", "label": null, "logBase": 1, "max": null, "min": null, "show": true } ] } ], "repeat": null, "repeatIteration": null, "repeatRowId": null, "showTitle": true, "title": "Buffer Pools", "titleSize": "h6" } ], "schemaVersion": 14, "style": "dark", "tags": [], "templating": { "list": [ { "allValue": null, "current": {}, "datasource": "${DS_PROMETHEUS}", "hide": 0, "includeAll": false, "label": "Application", "multi": false, "name": "application", "options": [], "query": "label_values(application)", "refresh": 2, "regex": "", "sort": 0, "tagValuesQuery": "", "tags": [], "tagsQuery": "", "type": "query", "useTags": false }, { "allFormat": "glob", "allValue": null, "current": {}, "datasource": "${DS_PROMETHEUS}", "hide": 0, "includeAll": false, "label": "Instance", "multi": false, "multiFormat": "glob", "name": "instance", "options": [], "query": "label_values(jvm_memory_used_bytes{application=\"$application\"}, instance)", "refresh": 2, "regex": "", "sort": 0, "tagValuesQuery": "", "tags": [], "tagsQuery": "", "type": "query", "useTags": false }, { "allFormat": "glob", "allValue": null, "current": {}, "datasource": "${DS_PROMETHEUS}", "hide": 0, "includeAll": true, "label": "JVM Memory Pools Heap", "multi": false, "multiFormat": "glob", "name": "jvm_memory_pool_heap", "options": [], "query": "label_values(jvm_memory_used_bytes{application=\"$application\", instance=\"$instance\", area=\"heap\"},id)", "refresh": 1, "regex": "", "sort": 1, "tagValuesQuery": "", "tags": [], "tagsQuery": "", "type": "query", "useTags": false }, { "allFormat": "glob", "allValue": null, "current": {}, "datasource": "${DS_PROMETHEUS}", "hide": 0, "includeAll": true, "label": "JVM Memory Pools Non-Heap", "multi": false, "multiFormat": "glob", "name": "jvm_memory_pool_nonheap", "options": [], "query": "label_values(jvm_memory_used_bytes{application=\"$application\", instance=\"$instance\", area=\"nonheap\"},id)", "refresh": 1, "regex": "", "sort": 2, "tagValuesQuery": "", "tags": [], "tagsQuery": "", "type": "query", "useTags": false } ] }, "time": { "from": "now-24h", "to": "now" }, "timepicker": { "now": true, "refresh_intervals": [ "5s", "10s", "30s", "1m", "5m", "15m", "30m", "1h", "2h", "1d" ], "time_options": [ "5m", "15m", "1h", "6h", "12h", "24h", "2d", "7d", "30d" ] }, "timezone": "browser", "title": "JVM (Micrometer)", "version": 24 } -
注意,上述模板可以在 grafana 官网中找到相关模板
- 可以 Copy ID,也可以 Download JSON 之后上传 (推荐)
-
配置完成后,数据可以立即展现出来
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