Horizontal Pod Autoscaling(Memory)

Deployment.yaml에 메모리 값을 Pod에 할당합니다.

1. 먼저 Deployment.yaml 파일을 수정해야합니다.

apiVersion: apps/v1
kind: Deployment
metadata:
  name: backend-deployment
  namespace: wsi-skills-namespace-2
  labels:
    app: backend-deployment
spec:
  replicas: 2
  selector:
    matchLabels:
      app: backend-deployment
  template:
    metadata:
      labels:
        app: backend-deployment
    spec:
      affinity:
        nodeAffinity:
          requiredDuringSchedulingIgnoredDuringExecution:
            nodeSelectorTerms:
            - matchExpressions:
              - key: worker2 #Node Key
                operator: In
                values:
                - backend #Node Value
      containers:
      - name: wsi-skills-container
        image: [Dockerimage]
        ports:
        - containerPort: 8080
        resources:
          requests:
            cpu: "250m"
	    memory: "256Mi" #이 부분을 설정해야합니다.
          limits:
            cpu: "512m"
	    memory: "512Mi" #이 부분을 설정해야합니다.
---
apiVersion: v1
kind: Service
metadata:
  name: wsi-stress-service
  labels:
    app: backend-deployment
  namespace: wsi-skills-namespace-2
  annotations:
    alb.ingress.kubernetes.io/healthcheck-path: "/상태검사 경로"
spec:
  selector:
    app: backend-deployment
  type: NodePort
  ports:
    - port: [Service Port]
      targetPort: [TargetGroup Port]
      protocol: TCP

2. HPA Memory 배포

cat << EOF > memoryhpa.yaml
apiVersion: autoscaling/v2beta2 
kind: HorizontalPodAutoscaler
metadata:
  name: memory-hpa
	namespace: wsi-skills-namespace-2
spec:
  scaleTargetRef:
    apiVersion: apps/v1 
    kind: Deployment 
    name: backend-deployment
  minReplicas: 2
  maxReplicas: 10 
  metrics: 
  - type: Resource
    resource:
      name: memory 
      target:
        type: Utilization 
        averageValue: 10Mi
EOF

kubectl apply -f memoryhpa.yaml

3. 확인

kubectl get hpa -n wsi-skills-namespace-2 -w #실시간 확인

왼쪽이 Pod에 memory 사용률이고 오른쪽이 HPA 조건입니다. Pod에 memory는 bytes 으로 표시되는 겁니다. 즉, 3813376을 Mi(메비 바이트)로 변환하면 3.6 정도 크기가 됩니다