kubernetes安裝heapster、influxdb及grafana

下載yaml

在這裏下載deploy/kube-config/influxdb

修改yaml

• 替換鏡像

gcr.io/google_containers/heapster-grafana:v4.0.2
registry.cn-hangzhou.aliyuncs.com/kube_containers/heapster_grafana

gcr.io/google_containers/heapster-influxdb:v1.1.1
registry.cn-hangzhou.aliyuncs.com/kube_containers/heapster_influxdb

gcr.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，同時把port由80改成3000。由於80的port跟heapster-service.yaml中的80的port衝突了。

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: '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
  ports:
  - port: 3000
    targetPort: 3000
  selector:
    k8s-app: grafana
  externalIPs: 
    - 192.168.99.101

• 修改influxdb-service.yaml
  新增8083的port暴露出來，同時添加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: 'true'
    kubernetes.io/name: monitoring-influxdb
  name: monitoring-influxdb
  namespace: kube-system
spec:
  ports:
  - name: http
    port: 8083
    targetPort: 8083
  - name: api
    port: 8086
    targetPort: 8086
  selector:
    k8s-app: influxdb
  externalIPs: 
    - 192.168.99.101

建立

kubectl create -f deploy/kube-config/influxdb/

配置grafana

http://192.168.99.101:3000/
修改下k8s數據源的url

查看數據

doc

• Run Heapster in a Kubernetes cluster with an InfluxDB backend and a Grafana UI

• <總結> 部署 Kubernetes+Heapster+InfluxDB+Grafana 詳解

• Kubernetes監控——Heapster+InfluxDB+Grafana

• heapster-yaml