Challenge Lab : Create and Manage Cloud Resources
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## ✅ 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
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