hpa 对于实际生产业务中，已经是一个常态化的基础能力，因此这是一个绕不过去的话题，EKS 原生是没有组件直接应用的，因此需要借助于 metrics-server 来进行配置支持。

安装metrics-server组件：

$ kubectl apply -f https://github.com/kubernetes-sigs/metrics-server/releases/latest/download/high-availability-1.21+.yaml

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然后部署一个测试 demo：

apiVersion: apps/v1
kind: Deployment
metadata:
  name: hpa-demo-deployment
  labels:
    app: hpa-nginx
spec:
  replicas: 1
  selector:
    matchLabels:
      app: hpa-nginx
  template:
    metadata:
      labels:
        app: hpa-nginx
    spec:
      containers:
      - name: hpa-nginx
        image: stacksimplify/kubenginx:1.0.0
        ports:
        - containerPort: 80
        resources:
          requests:
            memory: "128Mi"
            cpu: "100m"
          limits:
            memory: "500Mi"
            cpu: "200m"
---
apiVersion: v1
kind: Service
metadata:
  name: hpa-demo-service-nginx
  labels:
    app: hpa-nginx
spec:
  type: NodePort
  selector:
    app: hpa-nginx
  ports:
  - port: 80
    targetPort: 80
    nodePort: 30123

---
apiVersion: autoscaling/v2
kind: HorizontalPodAutoscaler
metadata:
  name: hpa-demo-deployment
  namespace: default
spec:
  maxReplicas: 3
  metrics:
  - resource:
      name: cpu
      target:
        averageUtilization: 70
        type: Utilization
    type: Resource
  minReplicas: 1
  scaleTargetRef:
    apiVersion: apps/v1
    kind: Deployment
    name: hpa-demo-deployment

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申明

原创文章eryajf，未经授权，严禁转载，侵权必究！此乃文中随机水印，敬请读者谅解。

然后下载一个 hey 命令，进行压测：

参考： https://www.cnblogs.com/dudu/p/12217354.html

./hey -c 100 -z 5m http://10.200.0.116:30123

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然后观察容器是否会根据负载的高低进行动态扩缩容。