kubernetes安装heapster、influxdb及grafana

下载yaml

在这里下载deploy/kube-config/influxdb

修改yaml

替换镜像

gcr.io/google_containers/heapster-grafana:v4.0.2 registry.cn-hangzhou.aliyuncs.com/kube_containers/heapster_grafanagcr.io/google_containers/heapster-influxdb:v1.1.1 registry.cn-hangzhou.aliyuncs.com/kube_containers/heapster_influxdbgcr.io/google_containers/heapster:v1.3.0-beta.0 registry.cn-hangzhou.aliyuncs.com/wayne/heapster:v1.1.0

修改grafana-service.yaml
添加external ip&＃xff0c;同时把port由80改为3000。因为80的port跟heapster-service.yaml中的80的port冲突了。

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: &＃39;true&＃39;kubernetes.io/name: monitoring-grafananame: monitoring-grafananamespace: 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: NodePortports:- port: 3000targetPort: 3000selector:k8s-app: grafanaexternalIPs: - 192.168.99.101

修改influxdb-service.yaml
新增8083的port暴露出来&＃xff0c;同时添加external ip

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: &＃39;true&＃39;kubernetes.io/name: monitoring-influxdbname: monitoring-influxdbnamespace: kube-system spec:ports:- name: httpport: 8083targetPort: 8083- name: apiport: 8086targetPort: 8086selector:k8s-app: influxdbexternalIPs: - 192.168.99.101