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    Container Service for Kubernetes：通過ARMS APM應用監控服務實現HPAAuto Scaling

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    Container Service for Kubernetes：通過ARMS APM應用監控服務實現HPAAuto Scaling

    更新時間：Jun 19, 2024

    當應用介面的請求訪問量飆升時，您可以通過Java應用介面的QPS配置HPA彈性策略，實現應用的彈性擴縮。本文介紹如何通過ARMS APM應用監控服務實現應用的HPAAuto Scaling。

    工作原理

    將ACK叢集中的Java應用接入ARMS APM應用監控服務後，您可以通過ARMS APM擷取應用介面的訪問詳情。關於如何將Java應用接入ARMS APM應用監控服務，請參見應用監控。ARMS APM應用監控服務將ARMS APM資料轉換為阿里雲Prometheus資料格式，alibaba-cloud-metrics-adapter組件將阿里雲Prometheus指標轉換成HPA可用的指標，最終實現應用的HPAAuto Scaling。

    本文以部署應用arms-springboot-demo，並壓測其中介面/demo/queryUser/10為例進行介紹。

    前提條件

    操作流程

    hpa

    步驟一：安裝ARMS APM應用監控組件

    為應用接入ARMS APM應用監控功能，需要在叢集中安裝ARMS APM應用監控組件one-pilot。

    1. 登入Container Service管理主控台，在左側導覽列選擇叢集。

    2. 在叢集列表頁面，單擊目的地組群名稱，然後在左側導覽列，選擇營運管理 > 組件管理。

    3. 在組件管理頁面，搜尋並定位ack-onepilot組件，在組件卡片地區單擊安裝，然後按照對話方塊提示配置參數，並單擊確認。

    步驟二：授予ARMS資源的存取權限

    • 如需監控ACK Serverless叢集或對接了ECI的叢集應用，請在雲資源訪問授權頁面完成授權，然後重啟ack-onepilot組件下的所有Pod。

    • 如需監控ACK叢集應用，請先查看是否存在ARMS Addon Token。

      展開查看叢集中是否存在ARMS Addon Token

      1. 登入Container Service管理主控台，在左側導覽列選擇叢集。

      2. 在叢集列表頁面，單擊目的地組群名稱，然後在左側導覽列，選擇組態管理 > 保密字典。

      3. 在頁面頂部選擇命名空間為kube-system，查看addon.arms.token是否存在。

      • 如果ACK叢集存在ARMS Addon Token，此時ARMS會進行免密授權。

        說明

        Kubernetes託管版叢集預設存在ARMS Addon Token。但對於部分早期建立的Kubernetes託管版叢集可能不存在ARMS Addon Token，請參考下文內容手動為叢集授予ARMS資源的存取權限。

      • 如果ACK叢集中不存在ARMS Addon Token，請執行以下操作，手動為叢集授予ARMS資源的存取權限。

        1. 建立自訂權限原則，策略內容如下。具體操作，請參見步驟一：建立自訂權限原則。

              {
      "Action": "arms:*",
      "Resource": "*",
      "Effect": "Allow"
    }

        2. 為叢集的WorkerRole添加上一步建立的自訂許可權。具體操作，請參見步驟二：為叢集的Worker RAM角色授權。

    步驟三：為Java應用開啟ARMS APM應用監控

    在叢集中部署Java應用時，通過為應用打上Labels的方式開啟ARMS APM應用監控。

    1. 登入Container Service管理主控台，在左側導覽列選擇叢集。

    2. 在叢集列表頁面，單擊目的地組群名稱，然後在左側導覽列，選擇工作負載 > 無狀態。

    3. 在無狀態頁面右上方，單擊使用YAML建立資源。

    4. 選擇樣本模板，並在模板（YAML格式）中將以下labels添加到spec.template.metadata層級下。

      labels:
  armsPilotAutoEnable: "on"
  armsPilotCreateAppName: "<your-deployment-name>" # 請將<your-deployment-name>替換為您的應用程式名稱。
  one-agent.jdk.version: "OpenJDK11"    # 如果應用的JDK版本是JDK 11，則需要配置此參數。
  armsSecAutoEnable: "on"    # 如果需要接入應用安全，則需要配置此參數。
      說明

      YAML Example

      以下提供YAML樣本模板，展示如何建立一個無狀態（Deployment）應用並開啟ARMS APM應用監控。

      展開查看完整YAML樣本檔案（Java）

      apiVersion: v1
kind: Namespace
metadata:
  name: arms-demo
---
apiVersion: apps/v1
kind: Deployment
metadata:
  name: arms-springboot-demo
  namespace: arms-demo
  labels:
    app: arms-springboot-demo
spec:
  replicas: 2
  selector:
    matchLabels:
      app: arms-springboot-demo
  template:
    metadata:
      labels:
        app: arms-springboot-demo
        armsPilotAutoEnable: "on"
        armsPilotCreateAppName: "arms-k8s-demo"
        one-agent.jdk.version: "OpenJDK11"
    spec:
      containers:
        - resources:
            limits:
              cpu: 0.5
          image: registry.cn-hangzhou.aliyuncs.com/arms-docker-repo/arms-springboot-demo:v0.1
          imagePullPolicy: Always
          name: arms-springboot-demo
          env:
            - name: SELF_INVOKE_SWITCH
              value: "true"
            - name: COMPONENT_HOST
              value: "arms-demo-component"
            - name: COMPONENT_PORT
              value: "6666"
            - name: MYSQL_SERVICE_HOST
              value: "arms-demo-mysql"
            - name: MYSQL_SERVICE_PORT
              value: "3306"
---
apiVersion: v1
kind: Service
metadata:
  labels:
    name: arms-springboot-demo
  name: arms-springboot-demo
  namespace: arms-demo
spec:
  ports:
    # the port that this service should serve on
    - name: arms-demo-svc
      port: 6666
      targetPort: 8888
  # label keys and values that must match in order to receive traffic for this service
  selector:
    app: arms-springboot-demo
---
apiVersion: apps/v1 # for versions before 1.8.0 use apps/v1beta1
kind: Deployment
metadata:
  name: arms-springboot-demo-subcomponent
  namespace: arms-demo
  labels:
    app: arms-springboot-demo-subcomponent
spec:
  replicas: 2
  selector:
    matchLabels:
      app: arms-springboot-demo-subcomponent
  template:
    metadata:
      labels:
        app: arms-springboot-demo-subcomponent
        armsPilotAutoEnable: "on"
        armsPilotCreateAppName: "arms-k8s-demo-subcomponent"
        one-agent.jdk.version: "OpenJDK11"
    spec:
      containers:
        - resources:
            limits:
              cpu: 0.5
          image: registry.cn-hangzhou.aliyuncs.com/arms-docker-repo/arms-springboot-demo:v0.1
          imagePullPolicy: Always
          name: arms-springboot-demo-subcomponent
          env:
            - name: SELF_INVOKE_SWITCH
              value: "false"
            - name: MYSQL_SERVICE_HOST
              value: "arms-demo-mysql"
            - name: MYSQL_SERVICE_PORT
              value: "3306"
---
apiVersion: v1
kind: Service
metadata:
  labels:
    name: arms-demo-component
  name: arms-demo-component
  namespace: arms-demo
spec:
  ports:
    # the port that this service should serve on
    - name: arms-demo-component-svc
      port: 6666
      targetPort: 8888
  # label keys and values that must match in order to receive traffic for this service
  selector:
    app: arms-springboot-demo-subcomponent
---
apiVersion: apps/v1 # for versions before 1.8.0 use apps/v1beta1
kind: Deployment
metadata:
  name: arms-demo-mysql
  namespace: arms-demo
  labels:
    app: mysql
spec:
  replicas: 1
  selector:
    matchLabels:
      app: mysql
  template:
    metadata:
      labels:
        app: mysql
    spec:
      containers:
        - resources:
            limits:
              cpu: 0.5
          image: registry.cn-hangzhou.aliyuncs.com/arms-docker-repo/arms-demo-mysql:v0.1
          name: mysql
          ports:
            - containerPort: 3306
              name: mysql
---
apiVersion: v1
kind: Service
metadata:
  labels:
    name: mysql
  name: arms-demo-mysql
  namespace: arms-demo
spec:
  ports:
    # the port that this service should serve on
    - name: arms-mysql-svc
      port: 3306
      targetPort: 3306
  # label keys and values that must match in order to receive traffic for this service
  selector:
    app: mysql
---

    5. 查看部署ARMS APM應用效果。

      在無狀態頁面，目標應用的操作列將出現ARMS控制台按鈕。ARMS Console Button

      您可以單擊ARMS控制台跳轉查看監控資料。在左側導覽列，單擊介面調用，查看應用介面（如HTTP介面）的訪問詳情。此處提供的Demo應用arms-springboot-demo，已自動產生了平穩的介面調用。4

    6. 手動建立關聯應用arms-springboot-demo的Service，並開啟負載平衡來訪問此應用的介面。

      1. 在叢集列表頁面，單擊目的地組群名稱，然後在左側導覽列，選擇網路 > 服務。

      2. 單擊頁面右上方建立，建立關聯應用的Service，然後單擊建立。關於配置項的說明，請參見建立服務。

      3. 稍等片刻，建立完成。在服務頁面記錄arms-demo-svc的外部連接埠，例如47.94.XX.XX:8080。

      4. 執行如下命令，通過外部連接埠訪問此服務的/demo/queryUser/10介面。

        curl http://47.94.XX.XX:8080/demo/queryUser/10

        預期輸出：

        {"id":1,"name":"KeyOfSpectator","password":"12****"}

        預期輸出表明，介面訪問正常。

    步驟四：對接alibaba-cloud-metrics-adapter組件

    重要

    1. 登入

      ARMS控制台。

    2. 在左側導覽列選擇Prometheus監控 > 執行個體列表，進入可觀測監控 Prometheus 版的執行個體列表頁面。

    3. 在執行個體列表頁面，單擊目標執行個體名稱（格式為arms_metrics_{RegionId}_XXX），在左側導覽列單擊設定，然後在右側設定頁簽的最下方查看並記錄HTTP API地址（Grafana 讀取地址），即Prometheus URL。

      5

    4. 在ack-alibaba-cloud-metrics-adapter中填入上一步中記錄的HTTP API地址（Grafana 讀取地址）（Prometheus URL）。

      1. 登入Container Service管理主控台，在左側導覽列選擇叢集。

      2. 在叢集列表頁面，單擊目的地組群名稱，然後在左側導覽列，選擇應用 > Helm。

      3. 在Helm頁面ack-alibaba-cloud-metrics-adapter所在行，單擊操作列的更新。

      4. 在更新發布面板插入步驟2中記錄的Prometheus URL。

        8

    5. 修改ack-alibaba-cloud-metrics-adapter的adapter-config配置。

      1. 在Helm頁面，單擊ack-alibaba-cloud-metrics-adapter。

      2. 在基本資料頁簽，單擊adapter-config。

      3. 單擊頁面右上方YAML 編輯。

      4. 將如下內容添加至adapter-config中。

        rules:
- metricsQuery: sum by (rpc) (sum_over_time(<<.Series>>{rpc="/demo/queryUser/{id}",service="arms-demo:arms-k8s-demo",prpc="__all__",ppid="__all__",endpoint="__all__",destId="__all__",<<.LabelMatchers>>}[1m]))
  name:
    as: ${1}_per_second_queryuser
    matches: ^(.*)_count
  resources:
    namespaced: false
  seriesQuery: arms_app_requests_count

        完整樣本如下：

        展開查看代碼詳情

        apiVersion: v1
data:
  config.yaml: >
    rules:

    - metricsQuery: sum(<<.Series>>{<<.LabelMatchers>>}) by (<<.GroupBy>>)
      name:
        as: ${1}_bytes_per_second
        matches: ^(.*)_bytes
      resources:
        overrides:
          namespace:
            resource: namespace
          pod:
            resource: pod
      seriesQuery: container_memory_working_set_bytes{namespace!="",pod!=""}
    - metricsQuery: sum(rate(<<.Series>>{<<.LabelMatchers>>}[1m])) by
    (<<.GroupBy>>)
      name:
        as: ${1}_core_per_second
        matches: ^(.*)_seconds_total
      resources:
        overrides:
          namespace:
            resource: namespace
          pod:
            resource: pod
      seriesQuery: container_cpu_usage_seconds_total{namespace!="",pod!=""}
    - metricsQuery: sum by (rpc)
    (sum_over_time(<<.Series>>{rpc="/demo/queryUser/{id}",service="arms-demo:arms-k8s-demo",prpc="__all__",ppid="__all__",endpoint="__all__",destId="__all__",<<.LabelMatchers>>}[1m]))
      name:
        as: ${1}_per_second_queryuser
        matches: ^(.*)_count
      resources:
        namespaced: false
      seriesQuery: arms_app_requests_count
kind: ConfigMap
metadata:
  annotations:
    meta.helm.sh/release-name: ack-alibaba-cloud-metrics-adapter
    meta.helm.sh/release-namespace: kube-system
  creationTimestamp: '2024-04-02T02:29:32Z'
  labels:
    app.kubernetes.io/managed-by: Helm
  managedFields:
    - apiVersion: v1
      fieldsType: FieldsV1
      fieldsV1:
        'f:data':
          .: {}
          'f:config.yaml': {}
        'f:metadata':
          'f:annotations':
            .: {}
            'f:meta.helm.sh/release-name': {}
            'f:meta.helm.sh/release-namespace': {}
          'f:labels':
            .: {}
            'f:app.kubernetes.io/managed-by': {}
      manager: rc
      operation: Update
      time: '2024-04-02T02:40:52Z'
  name: adapter-config
  namespace: kube-system
  resourceVersion: '8223891'
  uid: 294634e6-aeae-4048-9e69-365a4ce4b2cd

    6. 執行如下命令，查看叢集中指標資料。

      1. 執行如下命令，查看指標arms_app_requests_per_second_queryuser是否存在。

        kubectl get --raw "/apis/external.metrics.k8s.io/v1beta1"

        預期輸出：

        {"kind":"APIResourceList","apiVersion":"v1","groupVersion":"external.metrics.k8s.io/v1beta1","resources":[{"name":"k8s_workload_memory_working_set","singularName":"","namespaced":true,"kind":"ExternalMetricValueList","verbs":["get"]},{"name":"k8s_workload_memory_rss","singularName":"","namespaced":true,"kind":"ExternalMetricValueList","verbs":["get"]},{"name":"sls_ingress_latency_p9999","singularName":"","namespaced":true,"kind":"ExternalMetricValueList","verbs":["get"]},{"name":"slb_l7_qps","singularName":"","namespaced":true,"kind":"ExternalMetricValueList","verbs":["get"]},{"name":"cost_memory_usage","singularName":"","namespaced":true,"kind":"ExternalMetricValueList","verbs":["get"]},{"name":"slb_l4_traffic_rx","singularName":"","namespaced":true,"kind":"ExternalMetricValueList","verbs":["get"]},{"name":"sls_ingress_inflow","singularName":"","namespaced":true,"kind":"ExternalMetricValueList","verbs":["get"]},{"name":"slb_l7_upstream_rt","singularName":"","namespaced":true,"kind":"ExternalMetricValueList","verbs":["get"]},{"name":"cost_ratio","singularName":"","namespaced":true,"kind":"ExternalMetricValueList","verbs":["get"]},{"name":"slb_l4_traffic_tx","singularName":"","namespaced":true,"kind":"ExternalMetricValueList","verbs":["get"]},{"name":"slb_l4_packet_rx","singularName":"","namespaced":true,"kind":"ExternalMetricValueList","verbs":["get"]},{"name":"ahas_sentinel_pass_qps","singularName":"","namespaced":true,"kind":"ExternalMetricValueList","verbs":["get"]},{"name":"cost_memory_request","singularName":"","namespaced":true,"kind":"ExternalMetricValueList","verbs":["get"]},{"name":"sls_ingress_latency_avg","singularName":"","namespaced":true,"kind":"ExternalMetricValueList","verbs":["get"]},{"name":"slb_l4_max_connection","singularName":"","namespaced":true,"kind":"ExternalMetricValueList","verbs":["get"]},{"name":"cost_cpu_limit","singularName":"","namespaced":true,"kind":"ExternalMetricValueList","verbs":["get"]},{"name":"cost_day","singularName":"","namespaced":true,"kind":"ExternalMetricValueList","verbs":["get"]},{"name":"cost_month","singularName":"","namespaced":true,"kind":"ExternalMetricValueList","verbs":["get"]},{"name":"slb_l4_connection_utilization","singularName":"","namespaced":true,"kind":"ExternalMetricValueList","verbs":["get"]},{"name":"slb_l7_status_5xx","singularName":"","namespaced":true,"kind":"ExternalMetricValueList","verbs":["get"]},{"name":"k8s_workload_cpu_request","singularName":"","namespaced":true,"kind":"ExternalMetricValueList","verbs":["get"]},{"name":"k8s_workload_network_rx_rate","singularName":"","namespaced":true,"kind":"ExternalMetricValueList","verbs":["get"]},{"name":"k8s_workload_network_rx_errors","singularName":"","namespaced":true,"kind":"ExternalMetricValueList","verbs":["get"]},{"name":"cost_week","singularName":"","namespaced":true,"kind":"ExternalMetricValueList","verbs":["get"]},{"name":"k8s_workload_memory_cache","singularName":"","namespaced":true,"kind":"ExternalMetricValueList","verbs":["get"]},{"name":"cost_cpu_request","singularName":"","namespaced":true,"kind":"ExternalMetricValueList","verbs":["get"]},{"name":"cost_percorepricing","singularName":"","namespaced":true,"kind":"ExternalMetricValueList","verbs":["get"]},{"name":"sls_ingress_qps","singularName":"","namespaced":true,"kind":"ExternalMetricValueList","verbs":["get"]},{"name":"slb_l4_packet_tx","singularName":"","namespaced":true,"kind":"ExternalMetricValueList","verbs":["get"]},{"name":"slb_l7_status_4xx","singularName":"","namespaced":true,"kind":"ExternalMetricValueList","verbs":["get"]},{"name":"slb_l7_upstream_5xx","singularName":"","namespaced":true,"kind":"ExternalMetricValueList","verbs":["get"]},{"name":"k8s_workload_cpu_limit","singularName":"","namespaced":true,"kind":"ExternalMetricValueList","verbs":["get"]},{"name":"ahas_sentinel_block_qps","singularName":"","namespaced":true,"kind":"ExternalMetricValueList","verbs":["get"]},{"name":"cost_cpu_utilization","singularName":"","namespaced":true,"kind":"ExternalMetricValueList","verbs":["get"]},{"name":"sls_alb_ingress_qps","singularName":"","namespaced":true,"kind":"ExternalMetricValueList","verbs":["get"]},{"name":"cost_memory_utilization","singularName":"","namespaced":true,"kind":"ExternalMetricValueList","verbs":["get"]},{"name":"sls_ingress_latency_p95","singularName":"","namespaced":true,"kind":"ExternalMetricValueList","verbs":["get"]},{"name":"slb_l4_active_connection","singularName":"","namespaced":true,"kind":"ExternalMetricValueList","verbs":["get"]},{"name":"k8s_workload_memory_limit","singularName":"","namespaced":true,"kind":"ExternalMetricValueList","verbs":["get"]},{"name":"cost_hour","singularName":"","namespaced":true,"kind":"ExternalMetricValueList","verbs":["get"]},{"name":"slb_l7_status_2xx","singularName":"","namespaced":true,"kind":"ExternalMetricValueList","verbs":["get"]},{"name":"slb_l7_status_3xx","singularName":"","namespaced":true,"kind":"ExternalMetricValueList","verbs":["get"]},{"name":"k8s_workload_cpu_util","singularName":"","namespaced":true,"kind":"ExternalMetricValueList","verbs":["get"]},{"name":"k8s_workload_memory_usage","singularName":"","namespaced":true,"kind":"ExternalMetricValueList","verbs":["get"]},{"name":"k8s_workload_network_tx_rate","singularName":"","namespaced":true,"kind":"ExternalMetricValueList","verbs":["get"]},{"name":"ahas_sentinel_total_qps","singularName":"","namespaced":true,"kind":"ExternalMetricValueList","verbs":["get"]},{"name":"cost_cpu_usage","singularName":"","namespaced":true,"kind":"ExternalMetricValueList","verbs":["get"]},{"name":"k8s_workload_network_tx_errors","singularName":"","namespaced":true,"kind":"ExternalMetricValueList","verbs":["get"]},{"name":"slb_l7_rt","singularName":"","namespaced":true,"kind":"ExternalMetricValueList","verbs":["get"]},{"name":"cost_min","singularName":"","namespaced":true,"kind":"ExternalMetricValueList","verbs":["get"]},{"name":"sls_ingress_latency_p50","singularName":"","namespaced":true,"kind":"ExternalMetricValueList","verbs":["get"]},{"name":"sls_ingress_latency_p99","singularName":"","namespaced":true,"kind":"ExternalMetricValueList","verbs":["get"]},{"name":"slb_l7_upstream_4xx","singularName":"","namespaced":true,"kind":"ExternalMetricValueList","verbs":["get"]},{"name":"k8s_workload_memory_request","singularName":"","namespaced":true,"kind":"ExternalMetricValueList","verbs":["get"]},{"name":"ahas_sentinel_avg_rt","singularName":"","namespaced":true,"kind":"ExternalMetricValueList","verbs":["get"]},{"name":"cost_memory_limit","singularName":"","namespaced":true,"kind":"ExternalMetricValueList","verbs":["get"]},{"name":"arms_app_requests_per_second_queryuser","singularName":"","namespaced":true,"kind":"ExternalMetricValueList","verbs":["get"]}]}

        預期輸出表明，指標arms_app_requests_per_second_queryuser存在。

      2. 執行如下命令，查看指標即時資料。

        kubectl get --raw "/apis/external.metrics.k8s.io/v1beta1/namespaces/arms-demo/arms_app_requests_per_second_queryuser"| jq .

        預期輸出：

        {
  "kind": "ExternalMetricValueList",
  "apiVersion": "external.metrics.k8s.io/v1beta1",
  "metadata": {},
  "items": [
    {
      "metricName": "arms_app_requests_per_second_queryuser",
      "metricLabels": {
        "rpc": "/demo/queryUser/10"
      },
      "timestamp": "2022-11-09T07:49:07Z",
      "value": "6"
    }
  ]
}

        預期輸出表明，即時資料返回正常。

    步驟五：配置APM指標進行HPA擴縮

    1. 使用如下內容，建立hpa.yaml。

      說明

      • hpa.yaml中的配置指標名與上一步ack-alibaba-cloud-metrics-adapter中定義的指標名需保持一致。

      • hpa.yaml中的target為彈性閾值，當QPS > 40時進行擴容。

      apiVersion: autoscaling/v2beta2
kind: HorizontalPodAutoscaler
metadata:
  name: test-hpa
spec:
  scaleTargetRef:
    apiVersion: apps/v1
    kind: Deployment
    name: arms-springboot-demo
  minReplicas: 1
  maxReplicas: 10
  metrics:
    - type: External
      external:
        metric:
          name: arms_app_requests_per_second_queryuser
# External指標類型下只支援Value和AverageValue類型的目標值。
        target:
          type: AverageValue
          averageValue: 40

    2. 執行如下命令，對業務應用arms-springboot-demo部署HPA。

      kubectl apply -f hpa.yaml

    3. 執行如下命令，查看指標變化。

      kubectl get --raw "/apis/external.metrics.k8s.io/v1beta1/namespaces/arms-demo/arms_app_requests_per_second_queryuser"| jq .

      預期輸出：

      {
  "kind": "ExternalMetricValueList",
  "apiVersion": "external.metrics.k8s.io/v1beta1",
  "metadata": {},
  "items": [
    {
      "metricName": "arms_app_requests_per_second_queryuser",
      "metricLabels": {
        "rpc": "/demo/queryUser/10"
      },
      "timestamp": "2022-11-09T07:53:16Z",
      "value": "4216"
    }
  ]
}

    4. 執行如下命令，查看HPA詳情。

      kubectl get hpa -n arms-demo

      預期輸出：

      NAME       REFERENCE                         TARGETS         MINPODS   MAXPODS   REPLICAS   AGE
test-hpa   Deployment/arms-springboot-demo   300m/40 (avg)   1         10        10         148m

      預期輸出表明，Targets存在資料，HPA配置成功。

    通過壓測查看彈性擴縮容效果

    1. 執行如下命令，對Demo應用進行壓測實驗。

      ab -c 50 -n 2000 http://47.94.XX.XX:8080/demo/queryUser/10
      說明

      47.94.XX.XX:8080為服務arms-demo-svc的外部連接埠。

    2. 查看彈性擴縮容效果。

      • 可以在ARMS APM控制台看到，此介面的請求量因壓測飆升。amp控制台

      • 可以在Prometheus大盤看到，當應用介面的QPS值超過閾值時，達到了HPA擴縮的效果。p大盤

      • 在ACK叢集中可以看到此demo應用的Pod副本數隨介面調用的QPS進行擴縮。

        您可以通過執行命令kubectl describe hpa test-hpa -n arms-demo查看發生的擴縮容事件。