通过 Kubectl 测试 HPA

通过 Kubectl 测试 HPA

本文档介绍了使用负载测试工具触发 HPA 按比例扩容或缩容后如何检查其状态。有关如何从 Rancher UI（至少 2.3.x 版）检查状态的信息，请参阅使用 Rancher UI 管理 HPA。

为了使 HPA 正常工作，服务部署应具有容器的资源请求（request）定义。可以按照此 hello-world 示例测试 HPA 是否正常工作。

配置 `kubectl` 以连接到您的 Kubernetes 集群。

复制下面的 `hello-world` 部署清单。

apiVersion: apps/v1beta2
kind: Deployment
metadata:
  labels:
    app: hello-world
  name: hello-world
  namespace: default
spec:
  replicas: 1
  selector:
    matchLabels:
      app: hello-world
  strategy:
    rollingUpdate:
      maxSurge: 1
      maxUnavailable: 0
    type: RollingUpdate
  template:
    metadata:
      labels:
        app: hello-world
    spec:
      containers:
      - image: rancher/hello-world
        imagePullPolicy: Always
        name: hello-world
        resources:
          requests:
            cpu: 500m
            memory: 64Mi
        ports:
        - containerPort: 80
          protocol: TCP
      restartPolicy: Always
---
apiVersion: v1
kind: Service
metadata:
  name: hello-world
  namespace: default
spec:
  ports:
  - port: 80
    protocol: TCP
    targetPort: 80
  selector:
    app: hello-world

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将其部署到您的集群。

# kubectl create -f <HELLO_WORLD_MANIFEST>

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根据您使用的指标类型复制下面适合您的 HPA：

Hello World HPA: 资源指标

apiVersion: autoscaling/v2beta1
kind: HorizontalPodAutoscaler
metadata:
  name: hello-world
  namespace: default
spec:
  scaleTargetRef:
    apiVersion: extensions/v1beta1
    kind: Deployment
    name: hello-world
  minReplicas: 1
  maxReplicas: 10
  metrics:
  - type: Resource
    resource:
      name: cpu
      targetAverageUtilization: 50
  - type: Resource
    resource:
      name: memory
      targetAverageValue: 1000Mi

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Hello World HPA: 自定义指标

apiVersion: autoscaling/v2beta1
kind: HorizontalPodAutoscaler
metadata:
  name: hello-world
  namespace: default
spec:
  scaleTargetRef:
    apiVersion: extensions/v1beta1
    kind: Deployment
    name: hello-world
  minReplicas: 1
  maxReplicas: 10
  metrics:
  - type: Resource
    resource:
      name: cpu
      targetAverageUtilization: 50
  - type: Resource
    resource:
      name: memory
      targetAverageValue: 100Mi
  - type: Pods
    pods:
      metricName: cpu_system
      targetAverageValue: 20m

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查看 HPA 信息和说明。确认已显示指标数据。

资源指标

输入以下命令。

# kubectl get hpa
NAME          REFERENCE                TARGETS                     MINPODS   MAXPODS   REPLICAS   AGE
hello-world   Deployment/hello-world   1253376 / 100Mi, 0% / 50%   1         10        1          6m
# kubectl describe hpa
Name:                                                  hello-world
Namespace:                                             default
Labels:                                                <none>
Annotations:                                           <none>
CreationTimestamp:                                     Mon, 23 Jul 2018 20:21:16 +0200
Reference:                                             Deployment/hello-world
Metrics:                                               ( current / target )
  resource memory on pods:                             1253376 / 100Mi
  resource cpu on pods  (as a percentage of request):  0% (0) / 50%
Min replicas:                                          1
Max replicas:                                          10
Conditions:
  Type            Status  Reason              Message
  ----            ------  ------              -------
  AbleToScale     True    ReadyForNewScale    the last scale time was sufficiently old as to warrant a new scale
  ScalingActive   True    ValidMetricFound    the HPA was able to successfully calculate a replica count from memory resource
  ScalingLimited  False   DesiredWithinRange  the desired count is within the acceptable range
Events:           <none>

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自定义指标

输入以下命令。
```
# kubectl describe hpa
```
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您应该看到以下输出：

Name:                                                  hello-world
Namespace:                                             default
Labels:                                                <none>
Annotations:                                           <none>
CreationTimestamp:                                     Tue, 24 Jul 2018 18:36:28 +0200
Reference:                                             Deployment/hello-world
Metrics:                                               ( current / target )
  resource memory on pods:                             3514368 / 100Mi
  "cpu_system" on pods:                                0 / 20m
  resource cpu on pods  (as a percentage of request):  0% (0) / 50%
Min replicas:                                          1
Max replicas:                                          10
Conditions:
  Type            Status  Reason              Message
  ----            ------  ------              -------
  AbleToScale     True    ReadyForNewScale    the last scale time was sufficiently old as to warrant a new scale
  ScalingActive   True    ValidMetricFound    the HPA was able to successfully calculate a replica count from memory resource
  ScalingLimited  False   DesiredWithinRange  the desired count is within the acceptable range
Events:           <none>

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对 HPA 服务进行压测，以测试您的 Pod 是否可以按预期自动缩放。

您可以使用任何负载测试工具（Hey，Gatling 等），我们使用的是 Hey。

测试 Pod 自动扩缩容功能是否按预期工作。

使用资源指标测试自动扩缩容

扩容到 2 个 Pod：CPU 使用量超过目标值

使用负载测试工具对工作负载进行压测，提高 CPU 使用率触发自动扩缩容，使得 pod 数量扩容至 2 个。

查看您的 HPA。

# kubectl describe hpa

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您应该收到与以下类似的输出。

Name:                                                  hello-world
Namespace:                                             default
Labels:                                                <none>
Annotations:                                           <none>
CreationTimestamp:                                     Mon, 23 Jul 2018 22:22:04 +0200
Reference:                                             Deployment/hello-world
Metrics:                                               ( current / target )
  resource memory on pods:                             10928128 / 100Mi
  resource cpu on pods  (as a percentage of request):  56% (280m) / 50%
Min replicas:                                          1
Max replicas:                                          10
Conditions:
  Type            Status  Reason              Message
  ----            ------  ------              -------
  AbleToScale     True    SucceededRescale    the HPA controller was able to update the target scale to 2
  ScalingActive   True    ValidMetricFound    the HPA was able to successfully calculate a replica count from cpu resource utilization (percentage of request)
  ScalingLimited  False   DesiredWithinRange  the desired count is within the acceptable range
Events:
  Type    Reason             Age   From                       Message
  ----    ------             ----  ----                       -------
  Normal  SuccessfulRescale  13s   horizontal-pod-autoscaler  New size: 2; reason: cpu resource utilization (percentage of request) above target

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输入以下命令以确认您已扩容至 2 个 pod。

# kubectl get pods

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您应该收到类似于以下内容的输出：

NAME                                                     READY     STATUS    RESTARTS   AGE
hello-world-54764dfbf8-k8ph2                             1/1       Running   0          1m
hello-world-54764dfbf8-q6l4v                             1/1       Running   0          3h

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扩容到 3 个 Pod：CPU 使用量超过目标值

使用您的负载测试工具，根据 CPU 使用率将 horizontal-pod-autoscaler-upscale-delay 设置为 3 分钟，以将其扩展到 3 个 pod。

输入以下命令。

# kubectl describe hpa

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您应该收到类似于以下内容的输出

Name:                                                  hello-world
Namespace:                                             default
Labels:                                                <none>
Annotations:                                           <none>
CreationTimestamp:                                     Mon, 23 Jul 2018 22:22:04 +0200
Reference:                                             Deployment/hello-world
Metrics:                                               ( current / target )
  resource memory on pods:                             9424896 / 100Mi
  resource cpu on pods  (as a percentage of request):  66% (333m) / 50%
Min replicas:                                          1
Max replicas:                                          10
Conditions:
  Type            Status  Reason              Message
  ----            ------  ------              -------
  AbleToScale     True    SucceededRescale    the HPA controller was able to update the target scale to 3
  ScalingActive   True    ValidMetricFound    the HPA was able to successfully calculate a replica count from cpu resource utilization (percentage of request)
  ScalingLimited  False   DesiredWithinRange  the desired count is within the acceptable range
Events:
  Type    Reason             Age   From                       Message
  ----    ------             ----  ----                       -------
  Normal  SuccessfulRescale  4m    horizontal-pod-autoscaler  New size: 2; reason: cpu resource utilization (percentage of request) above target
  Normal  SuccessfulRescale  16s   horizontal-pod-autoscaler  New size: 3; reason: cpu resource utilization (percentage of request) above target

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输入以下命令以确认您已扩容至 3 个 pod。

# kubectl get pods

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您应该收到与以下类似的输出。

NAME                                                     READY     STATUS    RESTARTS   AGE
hello-world-54764dfbf8-f46kh                             0/1       Running   0          1m
hello-world-54764dfbf8-k8ph2                             1/1       Running   0          5m
hello-world-54764dfbf8-q6l4v                             1/1       Running   0          3h

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缩容到 1 个 Pod: 全部指标低于目标值

当所有指标均低于“ horizontal-pod-autoscaler-downscale-delay”的目标（默认为 5 分钟）时，请使用压测工具将其缩小到 1 个 pod。

输入以下命令。

# kubectl describe hpa

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您应该收到与以下类似的输出。

Name:                                                  hello-world
Namespace:                                             default
Labels:                                                <none>
Annotations:                                           <none>
CreationTimestamp:                                     Mon, 23 Jul 2018 22:22:04 +0200
Reference:                                             Deployment/hello-world
Metrics:                                               ( current / target )
  resource memory on pods:                             10070016 / 100Mi
  resource cpu on pods  (as a percentage of request):  0% (0) / 50%
Min replicas:                                          1
Max replicas:                                          10
Conditions:
  Type            Status  Reason              Message
  ----            ------  ------              -------
  AbleToScale     True    SucceededRescale    the HPA controller was able to update the target scale to 1
  ScalingActive   True    ValidMetricFound    the HPA was able to successfully calculate a replica count from memory resource
  ScalingLimited  False   DesiredWithinRange  the desired count is within the acceptable range
Events:
  Type    Reason             Age   From                       Message
  ----    ------             ----  ----                       -------
  Normal  SuccessfulRescale  10m   horizontal-pod-autoscaler  New size: 2; reason: cpu resource utilization (percentage of request) above target
  Normal  SuccessfulRescale  6m    horizontal-pod-autoscaler  New size: 3; reason: cpu resource utilization (percentage of request) above target
  Normal  SuccessfulRescale  1s    horizontal-pod-autoscaler  New size: 1; reason: All metrics below target

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使用自定义指标测试自动扩缩容

扩容到 2 个 Pod：CPU 使用量超过目标值

使用您的负载测试工具加大应用负载，以触发 HPA 根据 CPU 使用率自动扩容至 2 个 Pod。

输入以下命令。

# kubectl describe hpa

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您应该收到与以下类似的输出。

Name:                                                  hello-world
Namespace:                                             default
Labels:                                                <none>
Annotations:                                           <none>
CreationTimestamp:                                     Tue, 24 Jul 2018 18:01:11 +0200
Reference:                                             Deployment/hello-world
Metrics:                                               ( current / target )
  resource memory on pods:                             8159232 / 100Mi
  "cpu_system" on pods:                                7m / 20m
  resource cpu on pods  (as a percentage of request):  64% (321m) / 50%
Min replicas:                                          1
Max replicas:                                          10
Conditions:
  Type            Status  Reason              Message
  ----            ------  ------              -------
  AbleToScale     True    SucceededRescale    the HPA controller was able to update the target scale to 2
  ScalingActive   True    ValidMetricFound    the HPA was able to successfully calculate a replica count from cpu resource utilization (percentage of request)
  ScalingLimited  False   DesiredWithinRange  the desired count is within the acceptable range
Events:
  Type    Reason             Age   From                       Message
  ----    ------             ----  ----                       -------
  Normal  SuccessfulRescale  16s   horizontal-pod-autoscaler  New size: 2; reason: cpu resource utilization (percentage of request) above target

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输入以下命令以确认两个 Pod 正在运行。

# kubectl get pods

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您应该收到与以下类似的输出。

NAME                           READY     STATUS    RESTARTS   AGE
hello-world-54764dfbf8-5pfdr   1/1       Running   0          3s
hello-world-54764dfbf8-q6l82   1/1       Running   0          6h

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扩容到 3 个 Pod：CPU 使用量超过目标值

使用负载测试工具进行压测，当 cpu_system 的限制达到目标值时，pod 数量会继续扩容至 3 个

输入以下命令。

# kubectl describe hpa

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您应该收到类似于以下内容的输出：

Name:                                                  hello-world
Namespace:                                             default
Labels:                                                <none>
Annotations:                                           <none>
CreationTimestamp:                                     Tue, 24 Jul 2018 18:01:11 +0200
Reference:                                             Deployment/hello-world
Metrics:                                               ( current / target )
  resource memory on pods:                             8374272 / 100Mi
  "cpu_system" on pods:                                27m / 20m
  resource cpu on pods  (as a percentage of request):  71% (357m) / 50%
Min replicas:                                          1
Max replicas:                                          10
Conditions:
  Type            Status  Reason              Message
  ----            ------  ------              -------
  AbleToScale     True    SucceededRescale    the HPA controller was able to update the target scale to 3
  ScalingActive   True    ValidMetricFound    the HPA was able to successfully calculate a replica count from cpu resource utilization (percentage of request)
  ScalingLimited  False   DesiredWithinRange  the desired count is within the acceptable range
Events:
  Type    Reason             Age   From                       Message
  ----    ------             ----  ----                       -------
  Normal  SuccessfulRescale  3m    horizontal-pod-autoscaler  New size: 2; reason: cpu resource utilization (percentage of request) above target
  Normal  SuccessfulRescale  3s    horizontal-pod-autoscaler  New size: 3; reason: pods metric cpu_system above target

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输入以下命令以确认三个 Pod 正在运行。

  # kubectl get pods

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您应该收到类似于以下内容的输出：

      # kubectl get pods
      NAME                           READY     STATUS    RESTARTS   AGE
      hello-world-54764dfbf8-5pfdr   1/1       Running   0          3m
      hello-world-54764dfbf8-m2hrl   1/1       Running   0          1s
      hello-world-54764dfbf8-q6l82   1/1       Running   0          6h

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扩容到 4 个 Pod：CPU 使用量超过目标值

使用您的负载测试工具进行压测，提升 CPU 使用率，触发 HPA 机制扩容至 4 个 Pod。默认情况下， horizontal-pod-autoscaler-upscale-delay 设置为三分钟。

输入以下命令。

# kubectl describe hpa

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您应该收到与以下类似的输出。

Name:                                                  hello-world
Namespace:                                             default
Labels:                                                <none>
Annotations:                                           <none>
CreationTimestamp:                                     Tue, 24 Jul 2018 18:01:11 +0200
Reference:                                             Deployment/hello-world
Metrics:                                               ( current / target )
  resource memory on pods:                             8374272 / 100Mi
  "cpu_system" on pods:                                27m / 20m
  resource cpu on pods  (as a percentage of request):  71% (357m) / 50%
Min replicas:                                          1
Max replicas:                                          10
Conditions:
  Type            Status  Reason              Message
  ----            ------  ------              -------
  AbleToScale     True    SucceededRescale    the HPA controller was able to update the target scale to 3
  ScalingActive   True    ValidMetricFound    the HPA was able to successfully calculate a replica count from cpu resource utilization (percentage of request)
  ScalingLimited  False   DesiredWithinRange  the desired count is within the acceptable range
Events:
  Type    Reason             Age   From                       Message
  ----    ------             ----  ----                       -------
  Normal  SuccessfulRescale  5m    horizontal-pod-autoscaler  New size: 2; reason: cpu resource utilization (percentage of request) above target
  Normal  SuccessfulRescale  3m    horizontal-pod-autoscaler  New size: 3; reason: pods metric cpu_system above target
  Normal  SuccessfulRescale  4s    horizontal-pod-autoscaler  New size: 4; reason: cpu resource utilization (percentage of request) above target

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输入以下命令以确认四个 Pod 正在运行。

# kubectl get pods

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您应该收到与以下类似的输出。

NAME                           READY     STATUS    RESTARTS   AGE
hello-world-54764dfbf8-2p9xb   1/1       Running   0          5m
hello-world-54764dfbf8-5pfdr   1/1       Running   0          2m
hello-world-54764dfbf8-m2hrl   1/1       Running   0          1s
hello-world-54764dfbf8-q6l82   1/1       Running   0          6h

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缩容到 1 个 Pod: 全部指标低于目标值

当所有指标均低于 horizontal-pod-autoscaler-downscale-delay 目标值时，请使用负载测试工具将其缩小到 1 个 Pod。

输入以下命令。

# kubectl describe hpa

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您应该收到与以下类似的输出。

Name:                                                  hello-world
Namespace:                                             default
Labels:                                                <none>
Annotations:                                           <none>
CreationTimestamp:                                     Tue, 24 Jul 2018 18:01:11 +0200
Reference:                                             Deployment/hello-world
Metrics:                                               ( current / target )
  resource memory on pods:                             8101888 / 100Mi
  "cpu_system" on pods:                                8m / 20m
  resource cpu on pods  (as a percentage of request):  0% (0) / 50%
Min replicas:                                          1
Max replicas:                                          10
Conditions:
  Type            Status  Reason              Message
  ----            ------  ------              -------
  AbleToScale     True    SucceededRescale    the HPA controller was able to update the target scale to 1
  ScalingActive   True    ValidMetricFound    the HPA was able to successfully calculate a replica count from memory resource
  ScalingLimited  False   DesiredWithinRange  the desired count is within the acceptable range
Events:
  Type    Reason             Age   From                       Message
  ----    ------             ----  ----                       -------
  Normal  SuccessfulRescale  10m    horizontal-pod-autoscaler  New size: 2; reason: cpu resource utilization (percentage of request) above target
  Normal  SuccessfulRescale  8m    horizontal-pod-autoscaler  New size: 3; reason: pods metric cpu_system above target
  Normal  SuccessfulRescale  5m    horizontal-pod-autoscaler  New size: 4; reason: cpu resource utilization (percentage of request) above target
  Normal   SuccessfulRescale             13s               horizontal-pod-autoscaler  New size: 1; reason: All metrics below target

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输入以下命令以确认单个 Pod 正在运行。

# kubectl get pods

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您应该收到与以下类似的输出。

NAME                           READY     STATUS    RESTARTS   AGE
hello-world-54764dfbf8-q6l82   1/1       Running   0          6h

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通过 Kubectl 测试 HPA

通过 Kubectl 测试 HPA

配置 kubectl 以连接到您的 Kubernetes 集群。

复制下面的 hello-world 部署清单。

将其部署到您的集群。

根据您使用的指标类型复制下面适合您的 HPA：

查看 HPA 信息和说明。确认已显示指标数据。

对 HPA 服务进行压测，以测试您的 Pod 是否可以按预期自动缩放。

测试 Pod 自动扩缩容功能是否按预期工作。

使用资源指标测试自动扩缩容

扩容到 2 个 Pod：CPU 使用量超过目标值

扩容到 3 个 Pod：CPU 使用量超过目标值

缩容到 1 个 Pod: 全部指标低于目标值

使用自定义指标测试自动扩缩容

扩容到 2 个 Pod：CPU 使用量超过目标值

扩容到 3 个 Pod：CPU 使用量超过目标值

扩容到 4 个 Pod：CPU 使用量超过目标值

缩容到 1 个 Pod: 全部指标低于目标值

配置 `kubectl` 以连接到您的 Kubernetes 集群。

复制下面的 `hello-world` 部署清单。