k8s基于hpa实现pod弹性扩容

要使用hpa，第一步是安装heapster（下面的10.135.19.77换成自己k8s可以访问到的ip）

wget https://github.com/kubernetes/heapster/archive/master.zip  unzip master.zip  cd heapster-master/    sed -i "s/gcr.io/google_containers/heapster-grafana-amd64:v4.4.3/index.tenxcloud.com/jimmy/heapster-grafana-amd64:v4.0.2/g" deploy/kube-config/influxdb/grafana.yaml    sed -i "s/gcr.io/google_containers/heapster-amd64:v1.4.0/index.tenxcloud.com/jimmy/heapster-amd64:v1.3.0-beta.1/g" deploy/kube-config/influxdb/heapster.yaml    sed -i "s/https://kubernetes.default/http://10.135.19.77:8080?inClusterConfig=false&useServiceAccount=false/g" deploy/kube-config/influxdb/heapster.yaml    sed -i "s/monitoring-influxdb.kube-system.svc/10.135.19.77/g" deploy/kube-config/influxdb/heapster.yaml    sed -i "s/gcr.io/google_containers/heapster-influxdb-amd64:v1.3.3/index.tenxcloud.com/jimmy/heapster-influxdb-amd64:v1.1.1/g" deploy/kube-config/influxdb/influxdb.yaml      /bin/bash deploy/kube.sh start  

编写测试例子

• 编写文件a.yaml

apiVersion: extensions/v1beta1  kind: Deployment  metadata:    name: my-app  spec:    replicas: 2    template:      metadata:        labels:          app: my-app      spec:        containers:        - name: my-app          image: registry.alauda.cn/yubang/paas_base_test          ports:          - containerPort: 80          command: ["/bin/bash", "/var/start.sh"]          resources:            limits:              cpu: 0.01              memory: 64Mi  

• 编写文件b.yaml

apiVersion: v1  kind: Service  metadata:    name: my-app-svc    labels:      app: my-app  spec:    ports:    - port: 80      targetPort: 80      nodePort: 30964    type: NodePort    selector:      app: my-app  

• 编写文件c.yaml

apiVersion: autoscaling/v1  kind: HorizontalPodAutoscaler  metadata:    name: my-app-hpa    namespace: default  spec:    scaleTargetRef:      apiVersion: extensions/v1beta1      kind: Deployment      name: my-app    minReplicas: 1    maxReplicas: 10    targetCPUUtilizationPercentage: 5  

启动服务

kubectl apply -f a.yaml --validate  kubectl apply -f b.yaml --validate  kubectl apply -f c.yaml --validate  

查看是否正常运行

kubectl get horizontalpodautoscaler  

原文出处：yubangweb -> http://blog.yubangweb.com/k8sji-yu-hpashi-xian-poddan-xing-kuo-rong/?utm_source=tuicool&utm_medium=referral