Deployments 관리 Kubernetes in Google Cloud Platform

Google Cloud Platform 이용한 텍스트 카테고리 분류 Natural Language API (1)	2018.04.10
Google Cloud ML Vision API를 이용한 이미지 텍스트 추출 그리고 번역을 위한 Translation API와 Natural Language API (1)	2018.04.10
Jenkins Kubernetes Google Cloud (2)	2018.04.01
Docker Hadoop 클러스터 Hive 설치 (0)	2018.03.28
Orchestrating Google Cloud with Kubernetes (0)	2018.03.12

상단으로

Introduction to deployments

Get sample code in the git repository

$ git clone https://github.com/googlecodelabs/orchestrate-with-kubernetes.git

$ cd orchestrate-with-kubernetes/kubernetes

$ gcloud container clusters create hello-world --num-nodes 5 --zone us-central1-f

Create a deployment

$ vi deployments/auth.yaml

$ cat deployments/auth.yaml

apiVersion: extensions/v1beta1kind: Deploymentmetadata: name: authspec: replicas: 1 template: metadata: labels: app: auth track: stable spec: containers: - name: auth image: "kelseyhightower/auth:1.0.0" ports: - name: http containerPort: 80 - name: health containerPort: 81...

$ kubectl create -f deployments/auth.yaml

$ kubectl get deployments

$ kubectl explain deployment

$ kubectl explain deployment --recursive

$ kubectl explain deployment.metadata.name

$ kubectl get replicasets

$ kubectl get pods

$ kubectl create -f services/auth.yaml

$kubectl create -f deployments/hello.yaml

$kubectl create -f services/hello.yaml

$ kubectl create secret generic tls-certs --from-file tls/

$ kubectl create configmap nginx-frontend-conf --from-file=nginx/frontend.conf

$ kubectl create -f deployments/frontend.yaml

$ kubectl create -f services/frontend.yaml

$ kubectl get services frontend

$ curl -ks https://EXTERNAL-IP

$ curl -ks https://`kubectl get svc frontend -o=jsonpath="{.status.loadBalancer.ingress[0].ip}"`

Scale a Deployment

$ kubectl explain deployment.spec.replicas

$ kubectl scale deployment hello --replicas=5

$ kubectl get pods | grep hello- | wc -l

$ kubectl scale deployment hello --replicas=3

$ kubectl get pods | grep hello- | wc -l

Rolling update

Trigger a rolling update

$ kubectl edit deployment hello

$ kubectl get replicaset

$ kubectl rollout history deployment/hello

Pause a rolling update

$ kubectl rollout pause deployment/hello

$ kubectl rollout status deployment/hello

$ kubectl get pods -o jsonpath --template='{range .items[*]}{.metadata.name}{"\t"}{"\t"}{.spec.containers[0].image}{"\n"}{end}'

Resume a rolling update

$ kubectl rollout resume deployment/hello

$ kubectl rollout status deployment/hello

Rollback an update

$ kubectl rollout undo deployment/hello

$ kubectl rollout history deployment/hello

$ kubectl get pods -o jsonpath --template='{range .items[*]}{.metadata.name}{"\t"}{"\t"}{.spec.containers[0].image}{"\n"}{end}'

Canary deployment

Create a canary deployment

$ cat deployments/hello-canary.yaml

$ kubectl create -f deployments/hello-canary.yaml

$ kubectl get deployments

Verify the canary deployment

$ curl -ks https://`kubectl get svc frontend -o=jsonpath="{.status.loadBalancer.ingress[0].ip}"`/version

Canary deployments in production - session affinity

kind: ServiceapiVersion: v1metadata: name: "hello"spec: sessionAffinity: ClientIP selector: app: "hello" ports: - protocol: "TCP" port: 80 targetPort: 80

Clean up

$ kubectl delete deployment hello-canary

Blue-green deployments

The Service

$ kubectl apply -f services/hello-blue.yaml

Updating using Blue-Green Deployment

$ cat deployments/hello-green.yaml

$ kubectl create -f deployments/hello-green.yaml

$ curl -ks https://`kubectl get svc frontend -o=jsonpath="{.status.loadBalancer.ingress[0].ip}"`/version

$ kubectl apply -f services/hello-green.yaml

$ curl -ks https://`kubectl get svc frontend -o=jsonpath="{.status.loadBalancer.ingress[0].ip}"`/version

Blue-Green Rollback

$ kubectl apply -f services/hello-blue.yaml

$ curl -ks https://`kubectl get svc frontend -o=jsonpath="{.status.loadBalancer.ingress[0].ip}"`/version

'Google Cloud Platform' 카테고리의 다른 글

티스토리툴바

apiVersion: extensions/v1beta1
kind: Deployment
metadata:
name: auth
spec:
replicas: 1
template:
metadata:
labels:
app: auth
track: stable
spec:
containers:
- name: auth
image: "kelseyhightower/auth:1.0.0"
ports:
- name: http
containerPort: 80
- name: health
containerPort: 81
...

kind: Service
apiVersion: v1
metadata:
name: "hello"
spec:
sessionAffinity: ClientIP
selector:
app: "hello"
ports:
- protocol: "TCP"
port: 80
targetPort: 80