kubernetes1.13.4集成安装heapster

基础环境

拥有一个完美运行的kubernetes1.13.4集群并已经部署过dashboard，可参考我的部署文章创建自己的集群。

NT:heapster在kubernetes1.8以后不被推荐了，转而推荐使用metrics-server

部署步骤

编写部署需要的yaml文件

NT：下面的文件相较于官方文档有改动，解决了国内环境的镜像拉取问题，同时解决了几个小bug。大家可以对比参考。

grafana.yaml

apiVersion: extensions/v1beta1
kind: Deployment
metadata:name: monitoring-grafananamespace: kube-system
spec:replicas: 1template:metadata:labels:task: monitoringk8s-app: grafanaspec:containers:- name: grafanaimage: docker.io/mirrorgooglecontainers/heapster-grafana-amd64:v5.0.4ports:- containerPort: 3000protocol: TCPvolumeMounts:- mountPath: /etc/ssl/certsname: ca-certificatesreadOnly: true- mountPath: /varname: grafana-storageenv:- name: INFLUXDB_HOSTvalue: monitoring-influxdb- name: GF_SERVER_HTTP_PORTvalue: "3000"- name: GF_AUTH_BASIC_ENABLEDvalue: "false"- name: GF_AUTH_ANONYMOUS_ENABLEDvalue: "true"- name: GF_AUTH_ANONYMOUS_ORG_ROLEvalue: Admin- name: GF_SERVER_ROOT_URLvalue: /api/v1/namespaces/kube-system/services/monitoring-grafana/proxyvolumes:- name: ca-certificateshostPath:path: /etc/ssl/certs- name: grafana-storageemptyDir: {}
---
apiVersion: v1
kind: Service
metadata:labels:kubernetes.io/cluster-service: 'true'kubernetes.io/name: monitoring-grafananame: monitoring-grafananamespace: kube-system
spec:type: NodePortports:- port: 80targetPort: 3000selector:k8s-app: grafana

heapster-clusterrole.yaml

apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRole
metadata:annotations:rbac.authorization.kubernetes.io/autoupdate: "true"labels:kubernetes.io/bootstrapping: rbac-defaultsname: system:heapster
rules:
- apiGroups:- ""resources:- events- namespaces- nodes- pods- nodes/statsverbs:- create- get- list- watch
- apiGroups:- extensionsresources:- deploymentsverbs:- get- list- watch

heapster-rbac.yaml

kind: ClusterRoleBinding
apiVersion: rbac.authorization.k8s.io/v1beta1
metadata:name: heapster
roleRef:apiGroup: rbac.authorization.k8s.iokind: ClusterRolename: system:heapster
subjects:
- kind: ServiceAccountname: heapsternamespace: kube-system

heapster.yaml

apiVersion: v1
kind: ServiceAccount
metadata:name: heapsternamespace: kube-system
---
apiVersion: extensions/v1beta1
kind: Deployment
metadata:name: heapsternamespace: kube-system
spec:replicas: 1template:metadata:labels:task: monitoringk8s-app: heapsterspec:serviceAccountName: heapstercontainers:- name: heapsterimage: docker.io/mirrorgooglecontainers/heapster-amd64:v1.5.4imagePullPolicy: IfNotPresentcommand:- /heapster- --source=kubernetes:https://kubernetes.default?useServiceAccount=true&kubeletHttps=true&kubeletPort=10250&insecure=true- --sink=influxdb:http://monitoring-influxdb.kube-system.svc:8086
---
apiVersion: v1
kind: Service
metadata:labels:task: monitoringkubernetes.io/cluster-service: 'true'kubernetes.io/name: Heapstername: heapsternamespace: kube-system
spec:ports:- port: 80targetPort: 8082selector:k8s-app: heapster

influxdb.yaml

apiVersion: extensions/v1beta1
kind: Deployment
metadata:name: monitoring-influxdbnamespace: kube-system
spec:replicas: 1template:metadata:labels:task: monitoringk8s-app: influxdbspec:containers:- name: influxdbimage: docker.io/mirrorgooglecontainers/heapster-influxdb-amd64:v1.5.2volumeMounts:- mountPath: /dataname: influxdb-storagevolumes:- name: influxdb-storageemptyDir: {}
---
apiVersion: v1
kind: Service
metadata:labels:task: monitoringkubernetes.io/cluster-service: 'true'kubernetes.io/name: monitoring-influxdbname: monitoring-influxdbnamespace: kube-system
spec:type: NodePortports:- port: 8086targetPort: 8086selector:k8s-app: influxdb

执行命令完成部署

$ ls
grafana.yaml  heapster-clusterrole.yaml  heapster-rbac.yaml  heapster.yaml  influxdb.yaml$ kubectl create -f .

等待所有pod的状态达到running，登录dashboard就可以看到图形化界面了。

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kubernetes1.13.4集成安装heapster

基础环境

部署步骤

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