下载 jmx_exporter

使用版本为：0.20.0

下载连接：https://repo.maven.apache.org/maven2/io/prometheus/jmx/jmx_prometheus_javaagent/0.20.0/jmx_prometheus_javaagent-0.20.0.jar

配置jmx_exporter

参考 https://github.com/prometheus/jmx_exporter/blob/release-0.20.0/example_configs/tomcat.yml

记得切换到对应jmx_prometheus的release，我这边使用0.20.0

# https://grafana.com/grafana/dashboards/8704-tomcat-dashboard/
---
lowercaseOutputLabelNames: true
lowercaseOutputName: true
rules:
- pattern: 'Catalina<type=GlobalRequestProcessor, name=\"(\w+-\w+)-(\d+)\"><>(\w+):'
  name: tomcat_$3_total
  labels:
    port: "$2"
    protocol: "$1"
  help: Tomcat global $3
  type: COUNTER
- pattern: 'Catalina<j2eeType=Servlet, WebModule=//([-a-zA-Z0-9+&@#/%?=~_|!:.,;]*[-a-zA-Z0-9+&@#/%=~_|]), name=([-a-zA-Z0-9+/$%~_-|!.]*), J2EEApplication=none, J2EEServer=none><>(requestCount|maxTime|processingTime|errorCount):'
  name: tomcat_servlet_$3_total
  labels:
    module: "$1"
    servlet: "$2"
  help: Tomcat servlet $3 total
  type: COUNTER
- pattern: 'Catalina<type=ThreadPool, name="(\w+-\w+)-(\d+)"><>(currentThreadCount|currentThreadsBusy|keepAliveCount|pollerThreadCount|connectionCount):'
  name: tomcat_threadpool_$3
  labels:
    port: "$2"
    protocol: "$1"
  help: Tomcat threadpool $3
  type: GAUGE
- pattern: 'Catalina<type=Manager, host=([-a-zA-Z0-9+&@#/%?=~_|!:.,;]*[-a-zA-Z0-9+&@#/%=~_|]), context=([-a-zA-Z0-9+/$%~_-|!.]*)><>(processingTime|sessionCounter|rejectedSessions|expiredSessions):'
  name: tomcat_session_$3_total
  labels:
    context: "$2"
    host: "$1"
  help: Tomcat session $3 total
  type: COUNTER

配置tomcat

修改文件：tomcat/bin/catalina.sh

JAVA_OPTS="$JAVA_OPTS -javaagent:/home/tomcat/jmx_prometheus_javaagent-0.20.0.jar=29400:/home/tomcat/jmx-exporter.yaml"

重启服务后查看服务是否正常

使用 ps -ef |grep java 命令来检查启动的java应用中是否有 -javaagent。如果有就表示正常，如果没有，请自行排查问题所在，比如路径不对等。

kebe-prometheus 的配置

配置Service与Endpoints

# http://10.194.106.16:29400/metrics

apiVersion: v1
kind: Service
metadata:
  name: monitoring-external-jvm-exporter
  labels:
    app: java
    type: jvm-exporter
  namespace: monitoring
spec:
  type: ClusterIP
  ports:
    - name: http-metrics
      port: 29400
      protocol: TCP
      targetPort: 29400

---
apiVersion: v1
kind: Endpoints
metadata:
  name: monitoring-external-jvm-exporter
  labels:
    app: java
    type: jvm-exporter
  namespace: monitoring
subsets:
  - addresses:
      - ip: 10.194.106.16
    ports:
      - name: http-metrics
        port: 29400
        protocol: TCP

配置ServiceMonitor

apiVersion: monitoring.coreos.com/v1
kind: ServiceMonitor
metadata:
  labels:
    app: jvm-monitor
    release: monitoring
  name: jvm-monitor
  namespace: monitoring
spec:
  endpoints:
    - port: http-metrics
      interval: 30s
      path: /metrics
      honorLabels: true
  selector:
    matchLabels:
      app: java
      type: jvm-exporter
  namespaceSelector:
    matchNames:
      - monitoring

执行yaml后检查 Endpoints 状态：kubectl get endpoints -n monitoring monitoring-external-jvm-exporter，确认 ENDPOINTS 列显示 10.194.106.16:29400 且状态正常。

验证 Service 关联性：kubectl describe svc -n monitoring monitoring-external-jvm-exporter，查看 Endpoints 部分是否关联到正确的 IP。

配置 grafana

grafana 的 dashboards 编号是8563，添加到 grafana 中即可。如下图，可进行稍微调整