prometheus监控java项目（jvm等）：k8s外、k8s内

前言

虽然可以使用jvisualvm之类的工具监控java项目，但是集群环境下，还是捉襟见肘，下面介绍如何用主流的prometheus来监控java项目。

java项目配置

在pom.xml中添加依赖 

        
            org.springframework.boot
            spring-boot-starter-actuator
        
        
        
            io.micrometer
            micrometer-registry-prometheus
            1.5.1
            
        
        
        
            io.github.mweirauch
            micrometer-jvm-extras
            0.2.0
        

修改spring boot配置(application.yml)

server:
  port: 8096

spring:
  application:
    name: gift

management:
  endpoint:
    health:
      show-details: always
  endpoints:
    web:
      exposure:
        include: 'prometheus'  # 暴露/actuator/prometheus
  metrics:
    tags:
      application: ${spring.application.name}  # 暴露的数据中添加application label

非k8s下java项目监控

打包：mvn clean package

启动项目：java -jar xxx.jar

请求：http://xxx:8096/qzcsbj/actuator/prometheus，查看暴露的数据

在Prometheus中添加配置：vim prometheus.yml

  - job_name: "gift"
    metrics_path: "/qzcsbj/actuator/prometheus"
    static_configs:
    - targets: ["qzcsbj:8096"]

重启prometheus：systemctl restart prometheus

访问prometheus：http://ip:9090/targets

targets下可以看到这个端点

grafana导入模板：4701

效果如下：

k8s下java项目监控

打包：mvn clean package -Dmaven.test.skip=true

打镜像：docker build -t 192.168.117.160/gifts/gift:v1 .

把镜像推送到镜像仓库：docker push 192.168.117.160/gifts/gift:v1

编写资源yaml文件：deploy和svc

vim gift.yaml

---
apiVersion: apps/v1
kind: Deployment
metadata:
  name: gift-java-deploy
  namespace: gift
spec:
  replicas: 1
  selector:
    matchLabels:
      k8s-app: gift
  template:
    metadata:
      labels:
        k8s-app: gift
    spec:
      imagePullSecrets:
      - name: gifts-registry

      containers:
      - name: gift
        image: 192.168.117.160/gifts/gift:v1215
        imagePullPolicy: IfNotPresent
        ports:
        - containerPort: 8096

---
apiVersion: v1
kind: Service
metadata:
  name: gift-java-deploy-svc
  namespace: gift
  labels:
    k8s-app: gift-java-deploy-svc
spec:
  type: ClusterIP
  selector:
    k8s-app: gift
  ports:
  - name: gift-java-deploy-svc-api
    port: 8096
    targetPort: 8096
    protocol: TCP

创建资源：kubectl apply -f gift.yaml

查看资源：kubectl get all -n gift

编写servicemonitor资源yaml文件：

vim gift-sm.yaml

---
apiVersion: monitoring.coreos.com/v1
kind: ServiceMonitor
metadata:
  name: java-servicemonitor
  namespace: monitoring
  labels:
    k8s-app: gift
spec:
  endpoints:
  - port: gift-java-deploy-svc-api
    interval: 30s
    scheme: http
    path: '/qzcsbj/actuator/prometheus'
  selector:
    matchLabels:
      k8s-app: gift-java-deploy-svc
  namespaceSelector:
    matchNames:
    - gift

创建资源：kubectl apply -f gift-sm.yaml

查看资源：kubectl get servicemonitor -n monitoring

查看prometheus端口：kubectl get svc -n monitoring

访问prometheus：http://192.168.117.162:30576/

config已经自动生成配置：搜索gift

自动发现

targets

查询数据：jvm_threads_live_threads

grafana导入模板：12856

https://grafana.com/grafana/dashboards/12856

效果：

思考：看到这个监控数据，你的思路是？

【bak】：https://www.cnblogs.com/uncleyong/p/15688404.html

【性能项目实战：jmeter+k8s+微服务+skywalking+efk】汇总

详见：https://www.cnblogs.com/uncleyong/p/15475614.html