Challenge Lab : Create and Manage Cloud Resources

## ✅ Naming Rules |GCP|Code| |------|---| |Load balance| lb| |Instance Template|it| |Managed instance group| mig| |Unmanaged instance group| ig| |firewall| fw| |Health Check| hc| |template| template| | target-pools| tp| |backend-services| bs| |clusters| clusters| # Task 1. Create a project jumphost instance ☰ > [Compute Engine] > [VM instances] > [Create] ✔︎ Cloud Shell ``` gcloud compute instances create {instance-name} \ --zone us-east1-b \ --machine-type f1-micro \ --image-family debian-9 \ --image-project debian-cloud \ ``` # Task 2. Create a Kubernetes service cluster ## Create a cluster (in the us-east1-b zone) to host the service. > 서비스를 호스팅할 클러스터(us-east1-b 영역)를 만듭니다. ### 사전 작업 ``` $gcloud auth list $gcloud config list project ``` ### zone을 `/zone us-east1-b`로 설정 $`gcloud config set compute/zone us-east1-b` ### Create a cluster 클러스터 생성 ``` gcloud container clusters create sdk-clusters ``` 생성 확인 ``` gcloud container clusters get-credentials sdk-clusters ``` ## Use the Docker container hello-app > (gcr.io/google-samples/hello-app:2.0) as a place holder; > the team will replace the container with their own work later. > Docker 컨테이너 hello-app(gcr.io/google-samples/hello-app:2.0)을 자리표시자로 사용하세요. > 팀에서 나중에 컨테이너를 팀의 작업으로 대체할 것입니다. ``` kubectl create deployment {server-name} \ --image={image} ``` ``` kubectl create deployment sdk-server \ --image=gcr.io/google-samples/hello-app:2.0 ``` ## Expose the app on port App port number . > 앱을 포트 App port number 에 노출시킵니다. ``` kubectl expose deployment sdk-server \ --type=LoadBalancer \ --port {port} ``` # Task 3. Set up an HTTP load balancer (작업 3: HTTP 부하 분산기 설정하기) ``` cat << EOF > startup.sh #! /bin/bash apt-get update apt-get install -y nginx service nginx start sed -i -- 's/nginx/Google Cloud Platform - '"\$HOSTNAME"'/' /var/www/html/index.nginx-debian.html EOF ``` ## Create an instance template. > 인스턴스 템플릿을 만듭니다. ``` gcloud compute instance-templates create sdk-it \ --metadata-from-file startup-script=startup.sh \ --machine-type f1-micro \ --region us-east1 ``` ## Create a target pool. > 대상 풀을 만듭니다. $`gcloud compute target-pools create sdk-tp` ## Create a managed instance group. > 관리형 인스턴스 그룹을 만듭니다. ``` gcloud compute instance-groups managed create sdk-mig \ --base-instance-name sdk-server \ --size 2 \ --template sdk-it \ --region us-east1 \ --target-pool sdk-tp ``` ## Create a firewall rule named as Firewall rule to allow traffic (80/tcp). > 트래픽(80/tcp)을 허용하며 이름이 Firewall rule 인 방화벽 규칙을 만듭니다. ``` gcloud compute firewall-rules create {role-name} \ --allow tcp:80 ``` ## Create a health check. > 헬스체크(상태 점검)을 만듭니다. $`gcloud compute http-health-checks create sdk-hc` ## Create a backend service, and attach the managed instance group with named port (http:80). > 백엔드 서비스를 만들고 관리형 인스턴스 그룹과 이름을 지정한 포트(http:80)를 연결합니다. ### 관리형 instance-groups managed (sdk-mig) ``` gcloud compute instance-groups managed \ set-named-ports sdk-mig \ --named-ports http:80 \ --region us-east1 ``` ## 백엔드 서비스 (sdk-bs) ``` gcloud compute backend-services create sdk-bs \ --protocol HTTP \ --http-health-checks sdk-hc \ --global ``` ## 포트 연결 ``` gcloud compute backend-services add-backend sdk-bs \ --instance-group sdk-mig \ --instance-group-region us-east1 \ --global ``` ## Create a URL map, and target the HTTP proxy to route requests to your URL map. > URL 맵을 만들고 URL 맵에 요청을 라우팅할 대상 HTTP 프록시를 설정합니다. ``` gcloud compute url-maps create sdk-map \ --default-service sdk-bs ``` ``` gcloud compute target-http-proxies create sdk-proxy \ --url-map sdk-map ``` ## Create a forwarding rule. > 전달 규칙을 만듭니다. ``` gcloud compute forwarding-rules create sdk-fwd-rule \ --global \ --target-http-proxy sdk-proxy \ --ports 80 ``` 방화벽 확인 $`gcloud compute forwarding-rules list` ## Reference Links https://github.com/codeGarry/Getting-Started-Create-and-Manage-Cloud-Resources-Challenge-Lab/blob/master/New%20Text%20Document.txt