# Vertical Pod Autoscaler for Backend API
# VPA automatically adjusts resource requests and limits based on historical usage
# Note: VPA requires the VPA admission controller to be installed

apiVersion: autoscaling.k8s.io/v1
kind: VerticalPodAutoscaler
metadata:
  name: veza-backend-api-vpa
  namespace: veza-production
  labels:
    app: veza-backend-api
    component: autoscaling
spec:
  targetRef:
    apiVersion: apps/v1
    kind: Deployment
    name: veza-backend-api
  updatePolicy:
    updateMode: "Auto"  # Options: Off, Initial, Auto, Recreate
  resourcePolicy:
    containerPolicies:
    - containerName: backend-api
      minAllowed:
        cpu: 100m
        memory: 128Mi
      maxAllowed:
        cpu: 4000m
        memory: 8Gi
      controlledResources: ["cpu", "memory"]
      controlledValues: RequestsAndLimits