1、创建测试deployment
apiVersion: v1 kind: Service metadata: name: my-app namespace: default spec: type: NodePort selector: app: my-app release: canary ports: - name: http nodePort: 30327 port: 80 --- apiVersion: apps/v1 kind: Deployment metadata: name: my-app-deploy namespace: default spec: replicas: 3 selector: matchLabels: app: my-app release: canary template: metadata: labels: app: my-app release: canary spec: containers: - name: my-app image: ikubernetes/myapp:v2 ports: - name: http containerPort: 80
resources:
requests:
cpu: 128m
memory: 128Mi
limits:
cpu: 128m
memory: 128Mi
kubectl create -f app.yaml
[root@10 ingress]# kubectl get pod | grep my-app my-app-deploy-76f86b954b-5r5n7 1/1 Running 0 3m25s my-app-deploy-76f86b954b-8n2dp 1/1 Running 0 3m25s my-app-deploy-76f86b954b-d95d8 1/1 Running 0 3m25s [root@10 ingress]# kubectl get svc | grep my-app my-app NodePort 192.168.192.192 <none> 80:30327/TCP 3m29s [root@10 ingress]#
2、创建HPA
apiVersion: autoscaling/v1 kind: HorizontalPodAutoscaler metadata: name: my-app-hpa # 名称 namespace: default #k8s命名空间 spec: maxReplicas: 10 # 最大副本数 minReplicas: 3 # 最小副本数 scaleTargetRef: apiVersion: apps/v1beta1 kind: Deployment name: my-app-deploy # 监控名为my-app-deploy的Deployment targetCPUUtilizationPercentage: 20 # cpu 阈值
kubectl create -f hap.yaml [root@10 zhangpan]# kubectl get hpa NAME REFERENCE TARGETS MINPODS MAXPODS REPLICAS AGE my-app-hpa Deployment/my-app-deploy <unknown>/80% 2 10 3 77s [root@10 zhangpan]#
也可以直接用命令创建hpa
kubectl autoscale deployment myapp --min=2 --max=10 --cpu-percent=20
如果出现unknown，可以查看原始deployment的resource有没有设置cpu的限制，或者没有找到deployment,也有可能是由于heapster组件没有安装，也有可能是数据没有检测到，默认heapster采集时间为1分，需要稍等一会看一下状态。
可以用kubectl describe hpa my-app-hpa 查看具体原因
正常后显示如下：
[root@10 zhangpan]# kubectl get hpa NAME REFERENCE TARGETS MINPODS MAXPODS REPLICAS AGE my-app-hpa Deployment/my-app-deploy 0%/20% 2 10 2 6m29s [root@10 zhangpan]#
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