Deploy to Kubernetes in Google Cloud: Challenge Lab Skill Lab

Deploy to Kubernetes in Google Cloud: Challenge Lab Skill Lab

Task 1: Create a Docker image and store the Dockerfile

• Run in the cloud shell

source <(gsutil cat gs://cloud-training/gsp318/marking/setup_marking_v2.sh)

• Then click authorise if asked
• Run in shell to clone the repo

  gcloud source repos clone valkyrie-app
  

• cd valkyrie-app
  

• create the docker file using this command

cat > Dockerfile <<EOF
FROM golang:1.10
WORKDIR /go/src/app
COPY source .
RUN go install -v
ENTRYPOINT ["app","-single=true","-port=8080"]
EOF

• Make sure to replace Your Docker Image and Your Tag Name as assigned to you don't copy mine will not work

It is mentioned somewhat here

docker build -t <Your Docker Image>:<Your Tag Name> .

• finally run this command

  ~/marking/step1_v2.sh
  

Task 2: Test the created Docker image

• Dont forget to replace it your docker image and tag name

  docker run -p 8080:8080 <Your Docker Image>:<Your Tag Name> &
  

• and then

~/marking/step2_v2.sh

• Now test it in web preview on port 8080

Task 3: Push the Docker image in the Container Repository

Make sure to replace and do the necessary changes as mentioned in your task

docker tag <Your Docker Image>:<Your Tag Name> <Container Re tag>
docker push <Container Re tag>

Task 4: Create and expose a deployment in Kubernetes

• gcloud container clusters get-credentials valkyrie-dev --region us-east1-d
  

• Make sure to replace Your Docker Image and Your Tag Name

  sed -i s#IMAGE_HERE#gcr.io/$GOOGLE_CLOUD_PROJECT/<Your Docker Image>:<Your Tag Name>#g k8s/deployment.yaml
  

• next simply run in shell

cd k8s
kubectl create -f deployment.yaml
kubectl create -f service.yaml

Task 5: Update the deployment with a new version of valkyrie-app

Change the Replica Count as it is mentioned to you

kubectl scale -f deployment.yaml --replicas=<Your Replica Count>
git merge origin/kurt-dev
cd ..

Replace the Docker Image and the Updated Version

docker build -t gcr.io/$GOOGLE_CLOUD_PROJECT/<Docker Image>:<Updated Version> .
docker push gcr.io/$GOOGLE_CLOUD_PROJECT/<Docker Image>:<Updated Version>

Task 6: Create a pipeline in Jenkins to deploy your app

• This command will give your container id which we will use in next step.

  docker ps
  

docker kill <container id received from above command>

export POD_NAME=$(kubectl get pods --namespace default -l "app.kubernetes.io/component=jenkins-master" -l "app.kubernetes.io/instance=cd" -o jsonpath="{.items[0].metadata.name}")
kubectl port-forward $POD_NAME 8080:8080 >> /dev/null &

This command will give you the Jenkins password which we will need later.

printf $(kubectl get secret cd-jenkins -o jsonpath="{.data.jenkins-admin-password}" | base64 --decode);echo

• Open Jenkins on Web View Preview on port 8080

Username : admin

Password : The output received from the previous command

• After Opening Dashboard click on -> Manage Jenkins -> Manage Credentials -> Jenkins -> Global credentials (unrestricted) -> Add credentials -> Kind: Google Service Account from metadata -> OK

• Again Come the Dashboard then click on -> New Item -> Name : valkyrie-app -> Pipeline -> Pipeline script from SCM -> Set SCM to git -> OK

• Pipeline -> Script: Pipeline script from SCM -> SCM: Git

• Type this to get the repo link

gcloud source repos list

• Add repo link and credentials will be your project id

• Click Save

• Type this in cloud shell , Replace Email with your student email and username with student username

sed -i "s/green/orange/g" source/html.go
sed -i "s/YOUR_PROJECT/$GOOGLE_CLOUD_PROJECT/g" Jenkinsfile
git config --global user.email "student..@qwiklabs.com"         //Make sure to replace 
git config --global user.name "student.1254"                       //Make sure to replace
git add .
git commit -m "built pipeline init"
git push

• Wait 8-10 min till the build complete

It will sure like this after completing

Congratulations

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