使用redis-exporter对redis集群进行性能监控

偏执的太偏执、 2023-02-12 13:23 2阅读 0赞

redis集群有三种模式，主从，sentinel（哨兵），cluster。关于这三种模式的介绍和部署，其它文章也有相关介绍，本人参考了他人的博客完成了三种模式的部署，博客地址：https://blog.csdn.net/miss1181248983/article/details/90056960。非常感谢此大佬的分享  
目前redis使用主从模式，集群信息如下：

[root@master redis]# redis-cli -h 192.168.122.7 -a 123456 info replication
    Warning: Using a password with '-a' or '-u' option on the command line interface may not be safe.
    # Replication
    role:master
    connected_slaves:2
    slave0:ip=192.168.122.8,port=6379,state=online,offset=28,lag=0
    slave1:ip=192.168.122.9,port=6379,state=online,offset=28,lag=1
    master_replid:950b3c2b60b56148577e566ac53af00911527c4e
    master_replid2:0000000000000000000000000000000000000000
    master_repl_offset:28
    second_repl_offset:-1
    repl_backlog_active:1
    repl_backlog_size:1048576
    repl_backlog_first_byte_offset:1
    repl_backlog_histlen:28
    [root@master redis]#
    [root@master ~]#

以上信息可以看出，此时集群为主从模式，192.168.122.7为master节点，192.168.122.8和192.168.122.9为slave节点。关于redis的具体操作这儿不做阐述，相关文章很多。下面步骤就是如何利用redis-exporter收集redis性能监控。

### 1 创建redis-exporter ###

使用下面的yaml文件创建一个redis-exporter的Deployment‘

[root@master redis-local]# cat redis-exporter.yaml
    apiVersion: apps/v1
    kind: Deployment
    metadata:
      name: redis-exporter001
      namespace: monitoring
      labels:
        k8s-app: redis-exporter001
    spec:
      selector:
        matchLabels:
          k8s-app: redis-exporter001
      template:
        metadata:
          labels:
            k8s-app: redis-exporter001
        spec:
          containers:
          - name: redis-exporter001
            image: oliver006/redis_exporter:latest
            args: ["-redis.addr", "redis://192.168.122.7:6379", "-redis.password", "123456"]
            ports:
            - containerPort: 9121
              name: http
    [root@master redis-local]# kubectl apply -f redis-exporter.yaml
    deployment.apps/redis-exporter001 created
    [root@master redis-local]# kubectl logs -f -n monitoring redis-exporter001-5dc78569b5-5lmtf
    time="2020-05-26T02:49:21Z" level=info msg="Redis Metrics Exporter v1.6.1    build date: 2020-05-13-02:16:26    sha1: 34c779deb5f9a1e023166b5cf3717d53cdc97053    Go: go1.14.2    GOOS: linux    GOARCH: amd64"
    time="2020-05-26T02:49:21Z" level=info msg="Providing metrics at :9121/metrics"

此时redis-exporter创建完成

### 2 创建redis-exporter服务 ###

使用下面的yaml文件创建redis-exporter服务

[root@master redis-local]# cat redis-exporter-service.yaml
    apiVersion: v1
    kind: Service
    metadata:
      labels:
        k8s-app: redis-exporter001
      name: redis-exporter001
      namespace: monitoring
    spec:
      type: NodePort
      ports:
      - name: http
        port: 9121
        nodePort: 30019
        targetPort: http
      selector:
        k8s-app: redis-exporter001
    [root@master redis-local]# kubectl apply -f redis-exporter-service.yaml
    service/redis-exporter001 created
    [root@master redis-local]# kubectl describe svc -n monitoring redis-exporter001
    Name:                     redis-exporter001
    Namespace:                monitoring
    Labels:                   k8s-app=redis-exporter001
    Annotations:              kubectl.kubernetes.io/last-applied-configuration:
                                {"apiVersion":"v1","kind":"Service","metadata":{"annotations":{},"labels":{"k8s-app":"redis-exporter001"},"name":"redis-exporter001","name...
    Selector:                 k8s-app=redis-exporter001
    Type:                     NodePort
    IP:                       10.10.126.113
    Port:                     http  9121/TCP
    TargetPort:               http/TCP
    NodePort:                 http  30019/TCP
    Endpoints:                10.124.187.225:9121
    Session Affinity:         None
    External Traffic Policy:  Cluster
    Events:                   <none>
    [root@master redis-local]#

使用nodeip:nodeport进行访问  
![format_png][]  
此时redis的metrics部署完成

### 3创建redis-exporter-serverMonitor ###

使用下面的文件创建redis-exporter-serverMonitor

[root@master redis-local]# cat redis-exporter-serviceMonitor.yaml
    apiVersion: monitoring.coreos.com/v1
    kind: ServiceMonitor
    metadata:
      labels:
        k8s-app: redis-exporter001
      name: redis-exporter001
      namespace: monitoring
    spec:
      endpoints:
      - interval: 30s
        port: http
      jobLabel: k8s-app
      selector:
        matchLabels:
          k8s-app: redis-exporter001
    [root@master redis-local]# kubectl apply -f redis-exporter-serviceMonitor.yaml
    servicemonitor.monitoring.coreos.com/redis-exporter001 created
    [root@master redis-local]# kubectl describe servicemonitors.monitoring.coreos.com -n monitoring redis-exporter001
    Name:         redis-exporter001
    Namespace:    monitoring
    Labels:       k8s-app=redis-exporter001
    Annotations:  kubectl.kubernetes.io/last-applied-configuration:
                    {"apiVersion":"monitoring.coreos.com/v1","kind":"ServiceMonitor","metadata":{"annotations":{},"labels":{"k8s-app":"redis-exporter001"},"na...
    API Version:  monitoring.coreos.com/v1
    Kind:         ServiceMonitor
    Metadata:
      Creation Timestamp:  2020-05-26T02:53:46Z
      Generation:          1
      Resource Version:    574501
      Self Link:           /apis/monitoring.coreos.com/v1/namespaces/monitoring/servicemonitors/redis-exporter001
      UID:                 065dc9cc-a872-4630-a387-f4b11193aab6
    Spec:
      Endpoints:
        Interval:  30s
        Port:      http
      Job Label:   k8s-app
      Selector:
        Match Labels:
          k8s-app:  redis-exporter001
    Events:         <none>

最后创建一个serviceaccount

[root@master yaml]# kubectl create serviceaccount -n monitoring redis-exporter001
    serviceaccount/redis-exporter001 created

以上部署完成后，在prometheus页面中查看对应的targets  
![format_png 1][]

### 4 grafana面板创建dashboard来监控redis集群 ###

![format_png 2][]  
![format_png 3][]  
点击Import  
![format_png 4][]  
监控效果如上图

### 5 redis写入数据进行测试 ###

[root@master redis-local]# cat 123.txt |redis-cli -h 192.168.122.7 -a 123456

![format_png 5][]  
批量插入数据 ，查看grafana监控  
![format_png 6][]  
此时redis性能使用率已经在上升。  
关于如何监控redis集群——主从模式到此完成。关于如何监控另外两种模式，后续文档会继续更新。

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