可以通过以下代码示例解决：

• 首先，需要使用HorizontalPodAutoscaler对象的spec.metrics字段向HPA添加额外的度量标准

apiVersion: autoscaling/v2beta1
kind: HorizontalPodAutoscaler
metadata:
  name: sample-app
  namespace: default
spec:
  scaleTargetRef:
    apiVersion: apps/v1
    kind: Deployment
    name: sample-app
  minReplicas: 1
  maxReplicas: 5
  metrics:
  - type: Resource
    resource:
      name: cpu
      targetAverageUtilization: 80
  - type: Resource
    resource:
      name: memory
      targetAverageUtilization: 80

• 然后在Pod模板中添加资源限制和请求，这是必须的，因为HPA需要Pod的资源使用情况才能将所选指标与笔记本电脑进行比较：

apiVersion: v1
kind: Pod
metadata:
  name: sample-app
  labels:
    app: sample-app
spec:
  containers:
  - name: sample-app
    image: nginx
    ports:
    - containerPort: 80
    resources:
      limits:
        memory: "512Mi"
        cpu: "500m"
      requests:
        memory: "256Mi"
        cpu: "300m"

• 最后，验证添加的度量标准是否可用

kubectl get hpa sample-app -o yaml

应该可以看到两个度量标准

spec:
  metrics:
  - type: Resource
    resource:
      name: cpu
      targetAverageUtilization: 80
  - type: Resource
    resource:
      name: memory
      targetAverageUtilization: 80