我正在尝试在集群中实现pod的自动伸缩。我尝试过“虚拟”部署和hpa，没有问题。现在，我正在尝试将其集成到我们的“真实的”微服务中，但它不断返回

Conditions:
  Type           Status  Reason                   Message
  ----           ------  ------                   -------
  AbleToScale    True    SucceededGetScale        the HPA controller was able to get the target's current scale
  ScalingActive  False   FailedGetResourceMetric  the HPA was unable to compute the replica count: missing request for memory
Events:
  Type     Reason                        Age                   From                       Message
  ----     ------                        ----                  ----                       -------
  Warning  FailedGetResourceMetric       18m (x5 over 19m)     horizontal-pod-autoscaler  unable to get metrics for resource memory: no metrics returned from resource metrics API
  Warning  FailedComputeMetricsReplicas  18m (x5 over 19m)     horizontal-pod-autoscaler  failed to get memory utilization: unable to get metrics for resource memory: no metrics returned from resource metrics API
  Warning  FailedComputeMetricsReplicas  16m (x7 over 18m)     horizontal-pod-autoscaler  failed to get memory utilization: missing request for memory
  Warning  FailedGetResourceMetric       4m38s (x56 over 18m)  horizontal-pod-autoscaler  missing request for memory

以下是我的个人住房抵押贷款：

apiVersion: autoscaling/v2beta2
kind: HorizontalPodAutoscaler
metadata:
 name: #{Name}
 namespace: #{Namespace}
spec:
 scaleTargetRef:
   apiVersion: apps/v1beta1
   kind: Deployment
   name: #{Name}
 minReplicas: 2
 maxReplicas: 5
 metrics:
  - type: Resource
    resource:
      name: cpu
      target:
        type: Utilization
        averageUtilization: 80
  - type: Resource
    resource:
      name: memory
      target:
        type: Utilization
        averageUtilization: 80

部署

apiVersion: apps/v1
kind: Deployment
metadata:
  name: #{Name}
  namespace: #{Namespace}
spec:
  replicas: 2
  selector:
    matchLabels:
      app: #{Name}
  template:
    metadata:
      annotations:
        linkerd.io/inject: enabled
      labels:
        app: #{Name}
    spec:
      containers:
      - name: #{Name}
        image: #{image}
        resources:
          limits:
            cpu: 500m
            memory: "300Mi"
          requests:
            cpu: 100m
            memory: "200Mi"
        ports:
        - containerPort: 80
          name: #{ContainerPort}

当我执行kubectl top pods时，我可以看到内存和cpu，当我执行kubectl describe pod时，我也可以看到请求和限制。

Limits:
      cpu:     500m
      memory:  300Mi
    Requests:
      cpu:     100m
      memory:  200Mi

我能想到的唯一区别是我的虚拟服务没有linkerd跨斗。