# az account set --subscription "종량제1"
# az aks get-credentials --resource-group admin5-Resource_Group --name admin5-k8s
# az acr login --name admin5acr
# az aks update -n admin5-k8s -g admin5-Resource_Group --attach-acr admin5acr

# nano Dockerfile - Dockerfile 생성
# docker build -t admin5acr.azurecr.io/my-nginx:v2   - docker build
# docker images    : docker images 확인
# docker push admin5acr.azurecr.io/my-nginx:v2   : docker를 리파지토리에 push
# kubectl create deploy my-nginx --image=admin5acr.azurecr.io/my-nginx:v2 -  AZure portal 에서 확인
# kubectl create -f nginx.yaml
# kubectl apply -f nginx.yaml
# kubectl 동사 목적어
# kubectl get nodes   - 클러스터에 만들어 진 노드의 수 (worker nodes. VM. 서버)
# kubectl get pod
# kubectl get pod -o wide  - Output을 좀더 많이 출력. node 정보도 같이 보여짐.

# kubectl create deploy my-nginx --image=admin5acr.azurecr.io/my-nginx:v2
# kubectl expose deploy my-nginx --type=LoadBalancer --port=80  : 외부에 오픈. type 을 LoadBalancer로 주어야 External IP로 되어야 함.
skccadmin@SKCC18D00132:~/container-orchestration/yaml$ kubectl get all
NAME                                    READY   STATUS    RESTARTS   AGE
pod/my-nginx-74dcffd6ff-xcp4h           1/1     Running   0          3m5s
pod/nginx-deployment-54f57cf6bf-78pp9   1/1     Running   0          27m
pod/nginx-deployment-54f57cf6bf-svn8x   1/1     Running   0          18m

NAME                 TYPE           CLUSTER-IP    EXTERNAL-IP    PORT(S)        AGE
service/kubernetes   ClusterIP      10.0.0.1      <none>         443/TCP        38m
service/my-nginx     LoadBalancer   10.0.159.90   40.82.129.79   80:30236/TCP   13s

NAME                               READY   UP-TO-DATE   AVAILABLE   AGE
deployment.apps/my-nginx           1/1     1            1           3m5s
deployment.apps/nginx-deployment   2/2     2            2           27m

NAME                                          DESIRED   CURRENT   READY   AGE
replicaset.apps/my-nginx-74dcffd6ff           1         1         1       3m5s
replicaset.apps/nginx-deployment-54f57cf6bf   2         2         2       27m

skccadmin@SKCC18D00132:~/container-orchestration/yaml/replicaset$ kubectl set image deploy nginx-deployment nginx=nginx:1.9.1
skccadmin@SKCC18D00132:~/container-orchestration/yaml/replicaset$ kubectl get deployment -o wide
NAME               READY   UP-TO-DATE   AVAILABLE   AGE     CONTAINERS   IMAGES                             SELECTOR
my-nginx           2/2     2            2           3h17m   my-nginx     admin5acr.azurecr.io/my-nginx:v2   app=my-nginx
my-nginx3          0/1     1            0           169m    nginx        manchiro/nginx                     app=my-nginx3
nginx-deployment   2/2     2            2           3h41m   nginx        nginx:1.9.1                        app=nginx
# kubectl rollout history deploy nginx-deployment
deployment.apps/nginx-deployment
REVISION  CHANGE-CAUSE
1         <none>
2         v2 is nginx:1.9.1
# kubectl rollout undo deploy nginx-deployment  - 이전버전으로 다시 올림
deployment.apps/nginx-deployment
REVISION  CHANGE-CAUSE
2         v2 is nginx:1.9.1
3         <none>

  > kubectl top pods
  > kubectl top nodes
  > kubectl apply -f https://k8s.io/examples/application/php-apache.yaml  - apache 생성 : 
  > kubectl autoscale deployment php-apache --cpu-percent=20 --min=1 --max=10
  > kubectl get hpa php-apache -o yaml

  > kubectl create -f siege.yaml
  > kubectl exec -it siege -- /bin/bash
  > siege -c30 -t30S -v http://php-apache  : -C 30명의 사용자가 -t 30초 동안 http 서비스를 호출해라.

# kubectl create ns admin5
# kubectl create deploy my-nginx4 --image=nginx -n admin5
# kubectl expose deploy my-nginx3 --type=LoadBalancer --port=80 -n=admin5
#  kubectl get all -n=admin5
skccadmin@SKCC18D00132:~/container-orchestration/yaml/replicaset$ kubectl get all -n=admin5
NAME                             READY   STATUS    RESTARTS   AGE
pod/my-nginx3-9d6bb446b-7qsdw    1/1     Running   0          2m38s
pod/my-nginx3-9d6bb446b-l8vtj    1/1     Running   0          2m38s
pod/my-nginx3-9d6bb446b-m7f6c    1/1     Running   0          6m56s
pod/my-nginx3-9d6bb446b-str45    1/1     Running   0          2m38s
pod/my-nginx3-9d6bb446b-whdfg    1/1     Running   0          2m38s
pod/my-nginx4-6fc7f8b4f8-9wz9v   1/1     Running   0          5m18s

NAME                TYPE           CLUSTER-IP     EXTERNAL-IP   PORT(S)        AGE
service/my-nginx3   LoadBalancer   10.0.242.183   <pending>     80:31012/TCP   3s

NAME                        READY   UP-TO-DATE   AVAILABLE   AGE
deployment.apps/my-nginx3   5/5     5            5           6m56s
deployment.apps/my-nginx4   1/1     1            1           5m18s

NAME                                   DESIRED   CURRENT   READY   AGE
replicaset.apps/my-nginx3-9d6bb446b    5         5         5       6m56s
replicaset.apps/my-nginx4-6fc7f8b4f8   1         1         1       5m18s
# kubectl delete deploy,service,pod --all

skccadmin@SKCC18D00132:~/container-orchestration/yaml$ kubectl get storageclass  (=sc)
NAME                PROVISIONER                AGE
azurefile           kubernetes.io/azure-file   23h
azurefile-premium   kubernetes.io/azure-file   23h
default (default)   kubernetes.io/azure-disk   5h55m
managed-premium     kubernetes.io/azure-disk   5h55m  (SSD  기반)

$ docker build -t admin5acr.azurerc.io/cm-sandbox:v1 .
$ docker push admin5acr.azurerc.io/cm-sandbox:v1
# 위 2 명령행을 아래 하나의 명령으로 수행 가능
$ az acr build --registry admin5acr --image admin5acr.azurecr.io/cm-sandbox:v1 .
$ 

skccadmin@SKCC18D00132:~/container-orchestration/yaml/configmap$ echo test | base64
dGVzdAo=
skccadmin@SKCC18D00132:~/container-orchestration/yaml/configmap$ echo dGVzdAo= | base64 --decode
test
$ az acr build --registry admin5acr --image cm-sandbox:v2 .