prometheus-operator 监控 Rabbitmq集群

首先咱们监控服务须要知道prometheus-operator是如何去工做的,才好去写相关的yaml配置,这里我划分红了5个部分,若是容器服务自己就以k8s来编排的,那就只须要三步,这里由于个人rabbitmq是部署在外面因此须要5步,它们分别是：python

1.建立 Endpoints # 将外部服务映射进来
2.建立 Service # 建立servicName,嫌麻烦也能够不写,这里1，2步只是为了隐藏真实的地址
3.建立采集工具使用deploy部署
4.建立采集工具Service ##clusterIP: None
5.建立ServiceMonitorvim

个人MQ管理地址为 192.168.100.192 : 15672api

vim prometheus-rabbitmq.yamlapp

apiVersion: v1
kind: Endpoints
metadata:
  name: rabbitmq-management
  labels:
    k8s-app: rabbitmq-management
subsets:
- addresses:
  - ip: 192.168.100.192
  ports:
  - name: api
    port: 15672
    protocol: TCP
---
apiVersion: v1
kind: Service
metadata:
  name: rabbitmq-management
  labels:
    k8s-app: rabbitmq-management
spec:
  type: ClusterIP
  ports:
  - name: api
    port: 15672
    protocol: TCP
---
apiVersion: apps/v1beta1
kind: Deployment
metadata:
  name: rabbitmq-exporter
spec:
  replicas: 1
  template:
    metadata:
      labels:
        k8s-app: rabbitmq-exporter
    spec:
      containers:
      - name: rabbitmq-exporter
        image: kbudde/rabbitmq-exporter
        env:
         - name: PUBLISH_PORT
           value: "9099"
         - name: RABBIT_CAPABILITIES
           value: "bert,no_sort"
         - name: RABBIT_USER
           value: "you user"
         - name: RABBIT_PASSWORD
           value: "you password"
         - name: RABBIT_URL
           value: http://rabbitmq-management:15672
        imagePullPolicy: IfNotPresent
        ports:
        - containerPort: 9099
---
apiVersion: v1
kind: Service
metadata:
  name: rabbitmq-exporter
  labels:
    k8s-app: rabbitmq-exporter
spec:
  type: ClusterIP
  clusterIP: None
  selector:
    k8s-app: rabbitmq-exporter
  ports:
  - name: api
    port: 9099
    protocol: TCP

kuctl apply -f prometheus-rabbitmq.yaml -n 指定命名空间 PS:个人是以项目+环境来区分的curl

上述能够进行测试工具

访问 curl http://10.244.6.145:9099/metrics测试

建立ServiceMonitor 让其可以自动发现并注册url

vim prometheus-rabbitmq-k8s-monitoring.yamlspa

apiVersion: monitoring.coreos.com/v1 kind: ServiceMonitor metadata: name: rabbitmq-exporter namespace: monitoring labels: k8s-app: rabbitmq-exporter namespace: monitoring spec: jobLabel: k8s-app endpoints: - port: api interval: 30s scheme: http selector: matchLabels: k8s-app: rabbitmq-exporter namespaceSelector: matchNames: - default    #你采集的数据在哪里,就写它的namespaces

最后 kubectl apply -f prometheus-rabbitmq-k8s-monitoring.yaml3d

模版是获取的官网新增了namespaces变量,这样就方便多了。

至于规则告警,能够根据本身想要监测的数据来进行报警就很少说了。