GKE manifests 생성 및 배포 deploy

# 1. Create deployment manifests and deploy to the cluster ## Connect to the lab GKE cluster ### 환경 변수 설정 ``` export my_zone=us-central1-a export my_cluster=standard-cluster-1 ``` ### 설정 반영 ``` source <(kubectl completion bash) ``` ### 클러스터 구성 ``` gcloud container clusters get-credentials $my_cluster --zone $my_zone ``` #### OUTPUT ``` Fetching cluster endpoint and auth data. kubeconfig entry generated for standard-cluster-1. ``` ### Repository 복제 ``` git clone https://github.com/GoogleCloudPlatform/training-data-analyst ``` ### 심볼릭 링크 ``` ln -s ~/training-data-analyst/courses/ak8s/v1.1 ~/ak8s ``` ### ak8s 디렉토리로 이동 ``` cd ~/ak8s/Deployments/ ``` ## Create a deployment manifest ### nginx-deployment.yaml ``` apiVersion: apps/v1 kind: Deployment metadata: name: nginx-deployment labels: app: nginx spec: replicas: 3 selector: matchLabels: app: nginx template: metadata: labels: app: nginx spec: containers: - name: nginx image: nginx:1.7.9 ports: - containerPort: 80 ``` ### kubectl apply ``` kubectl apply -f ./nginx-deployment.yaml ``` ### kubectl get deployments **Output** ``` NAME READY UP-TO-DATE AVAILABLE AGE nginx-deployment 3/3 3 3 11s ``` # 2. Manually scale up and down the number of Pods in deployments > 끄고 싶을 때가 있음.. ## Scale Pods up and down in the console ☰ > Kubernetes Engine > Workloads.    ## Scale Pods up and down in the shell replicas 갯수 커맨드로 늘이기 ### 현재 deployments보기 ``` kubectl get deployments ``` ### Output ``` NAME READY UP-TO-DATE AVAILABLE AGE nginx-deployment 1/1 1 1 4m24s ``` ### replicas 3개로 늘이기 ``` kubectl scale --replicas=3 deployment nginx-deployment ``` ### 결과 ``` $kubectl get deployments NAME READY UP-TO-DATE AVAILABLE AGE nginx-deployment 3/3 3 3 4m53s ``` # 3. Trigger a deployment rollout and a deployment rollback ## Trigger a deployment rollout ``` $kubectl set image deployment.v1.apps/nginx-deployment nginx=nginx:1.9.1 --record Flag --record has been deprecated, --record will be removed in the future deployment.apps/nginx-deployment image updated ``` ### To view the rollout status, execute the following command: ``` kubectl rollout status deployment.v1.apps/nginx-deployment ``` ### 확인 ``` kubectl get deployments ``` ### rollout history 보기 ``` kubectl rollout history deployment nginx-deploymentkubectl rollout history deployment nginx-deployment ``` ### Output ``` deployment.apps/nginx-deployment REVISION CHANGE-CAUSE 1 2 kubectl set image deployment.v1.apps/nginx-deployment nginx=nginx:1.9.1 --record=true ``` ### 최신 배포판 상세 보기 ``` $kubectl rollout history deployment/nginx-deployment --revision=3 ``` # 4. Define the service type in the manifest ## 메니패스트에서 버시스 유형 정의 #### yaml ``` apiVersion: v1 kind: Service metadata: name: nginx spec: type: LoadBalancer selector: app: nginx ports: - protocol: TCP port: 60000 targetPort: 80 ``` ### 로드 반렌스 확인 ``` $kubectl get service nginx NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE nginx LoadBalancer 10.12.7.221 60000:30953/TCP 28s ``` # 5. 배포 ## yaml ``` apiVersion: apps/v1 kind: Deployment metadata: name: nginx-canary labels: app: nginx spec: replicas: 1 selector: matchLabels: app: nginx template: metadata: labels: app: nginx track: canary Version: 1.9.1 spec: containers: - name: nginx image: nginx:1.9.1 ports: - containerPort: 80 ``` ## kubectl ``` kubectl apply -f nginx-canary.yaml ``` ``` kubectl get deployments NAME READY UP-TO-DATE AVAILABLE AGE nginx-canary 1/1 1 1 38s nginx-deployment 3/3 3 3 14m ``` ## replicas 0으로 줄이기 ``` kubectl scale --replicas=0 deployment nginx-deployment NAME READY UP-TO-DATE AVAILABLE AGE nginx-canary 1/1 1 1 84s nginx-deployment 0/0 0 0 15m ```