知识点：

Redis 数据保存在内存里，如果死机，数据就丢了，需要做主从复制，电商用的多，适用流量大，512G内存，服务器全部插满；Orlace,mysql保存在硬盘里

面试时可以说：20台物理服务器，100个pod，3个主节点，（k8s可以在物理服务器上，也可以部署在虚拟机上，如果公司大优选物理服务器，速度更快）

一、实验环境：

master1\node1\node2还原至Prometheus+grafana配置完成

二、在node1\node2(7.183\184机器上的\root)

[root@node1 ~]# ctr -n k8s.io images import redis_exporter.tar		【node1/2节点导入redis工具的镜像】
unpacking docker.io/oliver006/redis_exporter:v1 (sha256:0285202ba9f180de1db3395198e813a210e9e1e02d700f6033a0fd053f89a01d)...done
[root@node1 ~]#

[root@node2 ~]# ctr -n k8s.io images import redis_exporter.tar		【node1/2节点导入redis工具的镜像】
unpacking docker.io/oliver006/redis_exporter:v1 (sha256:0285202ba9f180de1db3395198e813a210e9e1e02d700f6033a0fd053f89a01d)...done
[root@node2 ~]#

[root@node1 ~]# ctr -n k8s.io images import redis.tar	【node1/2节点导入redis工具的镜像】
unpacking docker.io/library/redis:4 (sha256:6e3831269af56c1eb0db48c49bdb111484c5183527c8f99782146af96f8f2293)...done
[root@node1 ~]# ctr -n k8s.io images import redis_exporter.tar
unpacking docker.io/oliver006/redis_exporter:v1 (sha256:0285202ba9f180de1db3395198e813a210e9e1e02d700f6033a0fd053f89a01d)...done
[root@node1 ~]#

[root@node2 ~]# ctr -n k8s.io images import redis.tar	【node1/2节点导入redis工具的镜像】
unpacking docker.io/library/redis:4 (sha256:6e3831269af56c1eb0db48c49bdb111484c5183527c8f99782146af96f8f2293)...done
[root@node2 ~]# ctr -n k8s.io images import redis_exporter.tar
unpacking docker.io/oliver006/redis_exporter:v1 (sha256:0285202ba9f180de1db3395198e813a210e9e1e02d700f6033a0fd053f89a01d)...done
[root@node2 ~]#

三、master1节点上导入redis镜像

[root@master1 ~]# mkdir redis
[root@master1 ~]# cd redis/
[root@master1 redis]# ls
redis.yaml
[root@master1 redis]# cat redis.yaml
apiVersion: apps/v1
kind: Deployment
metadata:
  name: redis
spec:
  replicas: 1
  selector:
    matchLabels:
      app: redis
  template:
    metadata:
      labels:
        app: redis
    spec:
      containers:
      - name: redis
        image: docker.io/library/redis:4
        imagePullPolicy: IfNotPresent
        resources:
          requests:
            cpu: 100m
            memory: 100Mi
        ports:
        - containerPort: 6379
      - name: redis-exporter
        image: oliver006/redis_exporter:v1
        imagePullPolicy: IfNotPresent
        resources:
          requests:
            cpu: 100m
            memory: 100Mi
        ports:
        - containerPort: 9121
---
kind: Service
apiVersion: v1
metadata:
  name: redis
  annotations:
    prometheus.io/scrape: "true"
    prometheus.io/port: "9121"  # Prometheus抓取redis-exporter端口
spec:
  selector:
    app: redis
  ports:
  - name: redis
    port: 6379
    targetPort: 6379  # Redis服务端口
  - name: prom
    port: 9121
    targetPort: 9121  # Prometheus抓取Redis Exporter数据的端口

[root@master1 redis]#

[root@master1 redis]# kubectl apply -f redis.yaml
deployment.apps/redis created
service/redis created
[root@master1 redis]#

四、测试Prometheus监控redis是否搭建成功，网页上访问Prometheus