[Kubernetes] Horizontal Pod Autoscaler

Horizontal Pod Autoscaler 
--------------------
kubectl create deployment hpa-hname-pods --image=sysnet4admin/echo-hname 


kubectl expose deployment hpa-hname-pods --type=LoadBalancer --name=hpa-hname-svc --port=80

 

 

# metrics 
 
kubectl create -f https://raw.githubusercontent.com/k8s-1pro/install/main/ground/k8s-1.27/metrics-server-0.6.3/metrics-server.yaml

# 성능에 대한 평가지표
kubectl top pods

 

 

ubuntu@ip-172-31-8-104:~$ kubectl top pods
NAME                            CPU(cores)   MEMORY(bytes)
hpa-hname-pods-9ff99b65-m2vgj   1m           1Mi
ubuntu@ip-172-31-8-104:~$ k get services
NAME            TYPE           CLUSTER-IP      EXTERNAL-IP
      PORT(S)        AGE
hpa-hname-svc   LoadBalancer   10.100.49.248   a39396f7d5d92442c9ead5a063ed1893-1699881858.ap-northeast-2.elb.amazonaws.com   80:32713/TCP   2m44s
kubernetes      ClusterIP      10.100.0.1      <none>
      443/TCP        77m
      
# m -> milliunits -> 1000m이면 1개의 cpu

 kubectl edit deployment hpa-hname-pods

    resources:
          limits:
            cpu: 50m
          requests:
            cpu: 10m


저장하고 나온 뒤 

# min은 최소 파드의 수, max는 최대 파드의 수 
# cpu-percent는 cpu 사용량이 50% 넘으면 autoscale 해줘 
kubectl autoscale deployment hpa-hname-pods --min=1 --max=30 --cpu-percent=50

watch -n 1 kubectl top pods

ubuntu@ip-172-31-8-104:~$ k get services
NAME            TYPE           CLUSTER-IP      EXTERNAL-IP
      PORT(S)        AGE
hpa-hname-svc   LoadBalancer   10.100.49.248   a39396f7d5d92442c9ead5a063ed1893-1699881858.ap-northeast-2.elb.amazonaws.com   80:32713/TCP   20m
kubernetes      ClusterIP      10.100.0.1      <none>
      443/TCP        95m
      
      
      
http://3.35.207.93:32713/