1.首先需要部署一个redis，配置一个redis的exporter,通过redis进行暴露监控

cat redis.yaml
## Service
apiVersion: v1
kind: Service
metadata:
  name: cloud-redis
  labels:
    app: redis
spec:
  selector:
    app: redis
  ports:
    - name: redis
      port: 6379
      targetPort: 6379
    - name: prom
      port: 9121
      targetPort: 9121
---
## Deployment
apiVersion: apps/v1
kind: Deployment
metadata:
  name: cloud-redis
  labels:
    app: redis
spec:
  replicas: 1
  selector:
    matchLabels:
      app: redis
  template:
    metadata:
      annotations:
        prometheus.io/scrape: "true"
        prometheus.io/port: "9121"
      labels:
        app: redis
    spec:
      containers:
        - name: redis-exporter
          image: oliver006/redis_exporter:latest
          resources:
            requests:
              cpu: 100m
              memory: 100Mi
          ports:
            - containerPort: 9121
        - name: redis
          image: redis:5.0.8
          ports:
            - containerPort: 6379
          resources:
            limits:
              cpu: 1000m
              memory: 1024Mi
            requests:
              cpu: 100m
              memory: 100Mi
              
kubectl  apply -f redis.yaml

redis 这个 Pod 中包含了两个容器，一个就是 redis 本身的主应用，另外一个容器就是 redis_exporter

由于Redis服务的metrics接口在redis-exporter 9121上，所以我们添加了prometheus.io/port=9121这样的annotation,在prometheus就会自动发现redis了

接下来我们刷新一下Redis的Service配置

[root@root prometheus]# kubectl apply -f  redis.yaml
deployment.extensions/redis unchanged
service/redis unchanged

在prometheus页面就可以看到redis的Pod信息了

在grafana导入redis的json文件Redis Cluster-1571393212519.json，监控界面如下