KEDA 部署和测试

部署keda

keda 部署十分简单直接下载yaml文件就可用部署了

$ kubectl create namespace keda
$ kubectl apply -f https://github.com/kedacore/keda/releases/download/v2.6.1/keda-2.6.1.yaml

KEDA测试demo

同样也是测试

apiVersion: apps/v1
kind: Deployment
metadata:
  name: hpa-demo
spec:
  selector:
    matchLabels:
      app: nginx
  template:
    metadata:
      labels:
        app: nginx
    spec:
      containers:
      - name: nginx
        image: docker.io/library/nginx:1.11.3
        ports:
        - containerPort: 80
        resources:
          requests:
            memory: 50Mi
            cpu: 50m
---
apiVersion: v1
kind: Service
metadata:
  labels:
    app: nginx
  name: hpa-demo
spec:
  ports:
  - name: http
    port: 80 
    protocol: TCP
    targetPort: 80
  selector:
    app: nginx
  type: ClusterIP
---
apiVersion: keda.sh/v1alpha1
kind: ScaledObject
metadata:
  name: hpa-demo
spec:
  scaleTargetRef:
    apiVersion: apps/v1
    kind: Deployment
    name: hpa-demo
  minReplicaCount: 1
  maxReplicaCount: 5
  triggers:
  - type: cpu
    metadata:
      type: Utilization
      value: "10"

部署到k8s上，由于创建cpu hpa，所以keda也是在

$ kubectl apply -f ./demo-hpa.yaml -n default

检验scaledobject.keda.sh

$ kubectl get scaledobject.keda.sh hpa-demo
NAME       SCALETARGETKIND      SCALETARGETNAME   MIN   MAX   TRIGGERS   AUTHENTICATION   READY   ACTIVE   FALLBACK   AGE
hpa-demo   apps/v1.Deployment   hpa-demo          1     5     cpu                         True    True     Unknown    6m25s

感觉没有什么信息，重新检查一下hpa对象

$ kubectl get hpa -n defaul
NAME                REFERENCE             TARGETS   MINPODS   MAXPODS   REPLICAS   AGE
keda-hpa-hpa-demo   Deployment/hpa-demo   0%/10%    1         5         5          8m14s

检查keda-hpa-hpa-demo是和k8s hpa 设置的一致

测试命令

获取demo-hpa service 服务地址, 发送请求

$ kubectl get service
NAME         TYPE        CLUSTER-IP      EXTERNAL-IP   PORT(S)   AGE
hpa-demo     ClusterIP   10.235.51.171   <none>        80/TCP    12m
$ while true; do wget -q -O- http://10.235.51.171; done

其他相关

• https://kubevela.io/