hpa.yaml

kind: HorizontalPodAutoscaler
apiVersion: autoscaling/v2beta1
metadata:
  name: recommender-app-hpa
  namespace: bosear
spec:
  scaleTargetRef:
    #
    # Point the HPA at the application that needs to be autoscaled.
    #
    apiVersion: apps/v1
    kind: Deployment
    name: recommender-app
  #
  # Specify the minimum and maximum number of replicas
  #
  minReplicas: 1
  maxReplicas: 10
  metrics:
  #
  # The configuration that is specified here determines how the custom metrics adapter is queried.
  # In this case, we want scaling to be performed based on a Prometheus Counter metric thst is collected by each Pod
  # We want the custom metrics adapter to take an average of the metrics across all pods controlled by the autoscaling target
  #
  - type: Pods
    pods:
      #
      # Note that this is not the name of the Prometheus metric in the application.
      # Prometheus metrics such as a Counter is converted into a rate-based metric by the adapter and assigned a different name
      # The metric name here corresponds to the custom metric name in the adapter
      # Target value specified here corresponds to 500 milli-requests per second
      #
      metricName: recommendation_requests_per_second 
      targetAverageValue: 500m