Scale Airflow resources

scheduler:
  replicas: 1
  resources:
    requests:
      cpu: 500
      memory: 1920
    limits:
      cpu: 1000
      memory: 3840

webserver:
  resources:
    requests:
      cpu: 500
      memory: 1920
    limits:
      cpu: 1000
      memory: 3840

apiServer:
  replicas: 1
  resources:
    requests:
      cpu: 1000
      memory: 3840
    limits:
      cpu: 2000
      memory: 7680

dagProcessor:
  enabled: true
  replicas: 1
  resources:
    requests:
      cpu: 1000
      memory: 3840
    limits:
      cpu: 2000
      memory: 7680

triggerer:
  replicas: 1
  resources:
    requests:
      cpu: 500
      memory: 1920
    limits:
      cpu: 1000
      memory: 3840

workers:
  replicas: 2
  resources:
    requests:
      cpu: 1000
      memory: 3840
    limits:
      cpu: 2000
      memory: 7680
  terminationGracePeriodSeconds: 600

scheduler:
  resources:
    requests: { cpu: 500, memory: 1920 }
    limits: { cpu: 1000, memory: 3840 }
workers:
  replicas: 1
  resources:
    requests: { cpu: 1000, memory: 3840 }

scheduler:
  resources:
    requests: { cpu: 500, memory: 1920 }
    limits: { cpu: 1000, memory: 3840 }
dagProcessor:
  enabled: true
  resources:
    requests: { cpu: 1000, memory: 3840 }
workers:
  replicas: 3
  resources:
    requests: { cpu: 1000, memory: 3840 }

scheduler:
  replicas: 2
  resources:
    requests: { cpu: 1000, memory: 3840 }
    limits: { cpu: 2000, memory: 7680 }
dagProcessor:
  enabled: true
  replicas: 2
  resources:
    requests: { cpu: 1000, memory: 3840 }
workers:
  replicas: 10

mutation {
  updateDeploymentKedaConfig(
    deploymentUuid: "<deployment-uuid>"
    state: true
  ) {
    id
    label
  }
}

# View current resource usage
kubectl top pods -n <deployment-namespace>

# Check resource limits
kubectl describe pod <pod-name> -n <deployment-namespace>