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k8s原生的集群监控方案(Heapster+InfluxDB+Grafana)

日期:2018-05-27点击:492

k8s原生的集群监控方案(Heapster+InfluxDB+Grafana)

  1. Heapster+InfluxDB+Grafana简介
    heapster是一个监控计算、存储、网络等集群资源的工具,以k8s内置的cAdvisor作为数据源收集集群信息,并汇总出有价值的性能数据(Metrics):cpu、内存、network、filesystem等,然后将这些数据输出到外部存储(backend),如InfluxDB,最后再通过相应的UI界面进行可视化展示,如grafana。 另外heapster的数据源和外部存储都是可插拔的,所以可以很灵活的组建出很多监控方案,如:Heapster+ElasticSearch+Kibana等等。
  2. Heapster的整体架构图
    k8s原生的集群监控方案(Heapster+InfluxDB+Grafana)
  3. 创建InfluxDB资源对象
    #下载influxdb.yaml apiVersion: extensions/v1beta1 kind: Deployment metadata: name: monitoring-influxdb namespace: kube-system spec: replicas: 1 template: metadata: labels: task: monitoring k8s-app: influxdb spec: containers: - name: influxdb image: k8s.gcr.io/heapster-influxdb-amd64:v1.3.3 volumeMounts: - mountPath: /data name: influxdb-storage volumes: - name: influxdb-storage emptyDir: {} --- apiVersion: v1 kind: Service metadata: labels: task: monitoring #For use as a Cluster add-on (https://github.com/kubernetes/kubernetes/tree/master/cluster/addons) #If you are NOT using this as an addon, you should comment out this line. kubernetes.io/cluster-service: 'true' kubernetes.io/name: monitoring-influxdb name: monitoring-influxdb namespace: kube-system spec: type: NodePort ports: - nodePort: 31001 port: 8086 targetPort: 8086 selector: k8s-app: influxdb

    所需的Heapster+InfluxDB+Grafana配置文件,请在Kubernetes Dashboard1.8.3部署中的yaml链接中下载使用。

    #influxdb.yaml文件需更改的地方: (1) image: k8s.gcr.io/heapster-influxdb-amd64:v1.3.3 (换成自己的images) ##说明:这里我在前文中提供的有images下载链接,直接下载使用不用更改! (2)这里我们使用NotePort暴露monitoring-influxdb服务在主机的31001端口上,那么InfluxDB服务端的地址:http://[host-ip]:31001 ,记下这个地址,以便创建heapster和为grafana配置数据源时,可以直接使用。
    spec: type: NodePort ports: - nodePort: 31001 port: 8086 targetPort: 8086 selector: k8s-app: influxdb
  4. 创建Grafana资源对象
    #下载grafana.yaml apiVersion: extensions/v1beta1 kind: Deployment metadata: name: monitoring-grafana namespace: kube-system spec: replicas: 1 template: metadata: labels: task: monitoring k8s-app: grafana spec: containers: - name: grafana image: k8s.gcr.io/heapster-grafana-amd64:v4.4.3 ports: - containerPort: 3000 protocol: TCP volumeMounts: - mountPath: /etc/ssl/certs name: ca-certificates readOnly: true - mountPath: /var name: grafana-storage env: - name: INFLUXDB_HOST value: monitoring-influxdb - name: GF_SERVER_HTTP_PORT value: "3000" #The following env variables are required to make Grafana accessible via #the kubernetes api-server proxy. On production clusters, we recommend #removing these env variables, setup auth for grafana, and expose the grafana #service using a LoadBalancer or a public IP. - name: GF_AUTH_BASIC_ENABLED value: "false" - name: GF_AUTH_ANONYMOUS_ENABLED value: "true" - name: GF_AUTH_ANONYMOUS_ORG_ROLE value: Admin - name: GF_SERVER_ROOT_URL #If you're only using the API Server proxy, set this value instead: #value: /api/v1/namespaces/kube-system/services/monitoring-grafana/proxy value: / volumes: - name: ca-certificates hostPath: path: /etc/ssl/certs - name: grafana-storage emptyDir: {} --- apiVersion: v1 kind: Service metadata: labels: #For use as a Cluster add-on (https://github.com/kubernetes/kubernetes/tree/master/cluster/addons) #If you are NOT using this as an addon, you should comment out this line. kubernetes.io/cluster-service: 'true' kubernetes.io/name: monitoring-grafana name: monitoring-grafana namespace: kube-system spec: #In a production setup, we recommend accessing Grafana through an external Loadbalancer #or through a public IP. #type: LoadBalancer #You could also use NodePort to expose the service at a randomly-generated port #type: NodePort type: NodePort ports: - nodePort: 30108 port: 80 targetPort: 3000 selector: k8s-app: grafana
    ##说明

    虽然Heapster已经预先配置好了Grafana的Datasource和Dashboard,但是为了方便访问,这里我们使用NotePort暴露monitoring-grafana服务在主机的30108上,那么Grafana服务端的地址:http://192.168.245.16:30108 ,通过浏览器访问,为Grafana修改数据源,如下:
    k8s原生的集群监控方案(Heapster+InfluxDB+Grafana)
    标红的地方,为上一步记录下的InfluxDB服务端的地址。

  5. 创建Heapster资源对象
    #下载heapster-rbac.yaml 
    kind: ClusterRoleBinding apiVersion: rbac.authorization.k8s.io/v1beta1 metadata: name: heapster roleRef: apiGroup: rbac.authorization.k8s.io kind: ClusterRole name: system:heapster subjects: - kind: ServiceAccount name: heapster namespace: kube-system
    #下载heapster.yaml 
    apiVersion: v1 kind: ServiceAccount metadata: name: heapster namespace: kube-system --- apiVersion: extensions/v1beta1 kind: Deployment metadata: name: heapster namespace: kube-system spec: replicas: 1 template: metadata: labels: task: monitoring k8s-app: heapster spec: serviceAccountName: heapster containers: - name: heapster image: k8s.gcr.io/heapster-amd64:v1.5.3 imagePullPolicy: IfNotPresent command: - /heapster - --source=kubernetes:https://kubernetes.default #- --sink=influxdb:http://monitoring-influxdb.kube-system.svc:8086 - --sink=influxdb:http://192.168.246.167:31001 #influxdb服务端地址 --- apiVersion: v1 kind: Service metadata: labels: task: monitoring #For use as a Cluster add-on (https://github.com/kubernetes/kubernetes/tree/master/cluster/addons) #If you are NOT using this as an addon, you should comment out this line. kubernetes.io/cluster-service: 'true' kubernetes.io/name: Heapster name: heapster namespace: kube-system spec: ports: - port: 80 targetPort: 8082 selector: k8s-app: heapster
    ##说明

    (1)
    --source 为heapster指定获取集群信息的数据源。参考:https://github.com/kubernetes/heapster/blob/master/docs/source-configuration.md
    --sink 为heaster指定后端存储,这里我们使用InfluxDB,其他的,请参考:https://github.com/kubernetes/heapster/blob/master/docs/sink-owners.md
    (2)heapster-rbac.yaml 文件作用
    如没有heapster-rbac.yaml 将导致权限的问题,heaster默认使用一个令×××(Token)与ApiServer进行认证,通过查看heapster.yml发现 serviceAccountName: heapster ,现在明白了吧,就是heaster没有权限,那么如何授权呢-----给heaster绑定一个有权限的角色就行了,即heapster-rbac.yaml配置的那样!

  6. 通过dashboard查看集群概况
    k8s原生的集群监控方案(Heapster+InfluxDB+Grafana)
    k8s原生的集群监控方案(Heapster+InfluxDB+Grafana)
  7. 通过Grafana查看集群详情(cpu、memory、filesystem、network)
    k8s原生的集群监控方案(Heapster+InfluxDB+Grafana)k8s原生的集群监控方案(Heapster+InfluxDB+Grafana)

  8. 文章推荐

k8s 入门教程和实战

原文链接:https://blog.51cto.com/wutengfei/2120747
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