Deploy to Kubernetes in Google Cloud: Challenge Lab

 



[GSP318] : Deploy to Kubernetes in Google Cloud: Challenge Lab :-

----------------------------------------------------------------------------------------------------------------------------------------------

Task - 1 : Create a Docker image and store the Dockerfile :-

gcloud auth list
gsutil cat gs://cloud-training/gsp318/marking/setup_marking.sh | bash
gcloud source repos clone valkyrie-app
cd valkyrie-app
cat > Dockerfile <<EOF
FROM golang:1.10
WORKDIR /go/src/app
COPY source .
RUN go install -v
ENTRYPOINT ["app","-single=true","-port=8080"]
EOF
docker build -t valkyrie-app:v0.0.1 .
cd ..
cd marking
./step1.sh

----------------------------------------------------------------------------------------------------------------------------------------------

Task - 2 : Test the created Docker image :-

cd ..
cd valkyrie-app
docker run -p 8080:8080 valkyrie-app:v0.0.1 &
cd ..
cd marking
./step2.sh

----------------------------------------------------------------------------------------------------------------------------------------------

Task - 3 : Push the Docker image in the Google Container Repository :-

cd ..
cd valkyrie-app
docker tag valkyrie-app:v0.0.1 gcr.io/$GOOGLE_CLOUD_PROJECT/valkyrie-app:v0.0.1
docker push gcr.io/$GOOGLE_CLOUD_PROJECT/valkyrie-app:v0.0.1
sed -i s#IMAGE_HERE#gcr.io/$GOOGLE_CLOUD_PROJECT/valkyrie-app:v0.0.1#g k8s/deployment.yaml

----------------------------------------------------------------------------------------------------------------------------------------------

Task - 4 : Create and expose a deployment in Kubernetes :-

sed -i s#IMAGE_HERE#gcr.io/$GOOGLE_CLOUD_PROJECT/valkyrie-app:v0.0.1#g k8s/deployment.yaml
gcloud container clusters get-credentials valkyrie-dev --zone us-east1-d
kubectl create -f k8s/deployment.yaml
kubectl create -f k8s/service.yaml

git merge origin/kurt-dev
----------------------------------------------------------------------------------------------------------------------------------------------

Task - 5 : Increase the replicas from 1 to 3 :-

kubectl edit deployment valkyrie-dev

// Press "i" to edit and change "replicas" from 1 to 3.
   Press "Esc" -> ":wq" -> Enter

----------------------------------------------------------------------------------------------------------------------------------------------

Task - 6 : Update the deployment with a new version of valkyrie-app :-

docker build -t gcr.io/$GOOGLE_CLOUD_PROJECT/valkyrie-app:v0.0.2 . 
docker push gcr.io/$GOOGLE_CLOUD_PROJECT/valkyrie-app:v0.0.2
kubectl edit deployment valkyrie-dev

// Press 'i' to edit and change image to "image: gcr.io/YOUR_PROJECT_ID/valkyrie-app:v0.0.2".
   Press "Esc" -> ":wq" -> Enter

docker ps

----------------------------------------------------------------------------------------------------------------------------------------------

Task - 7 : Create a pipeline in Jenkins to deploy your app :-

docker kill container_id

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

gcloud source repos list

// Open Jenkins Web View -> Preview on port 8080
   Username : admin
   Password : {Code output from previous command}
   
   -> Manage Jenkins -> Manage Credentials -> Global -> add credentials -> Kind: Google Service Account from metadata -> OK
   -> Jenkins -> New Item -> Name : valkyrie-app -> Pipeline -> OK
   -> Pipeline -> Script: Pipeline script from SCM -> SCM: Git
   -> Repository URL: {Url from previous command} -> Credentials: {Project id}
   -> Apply -> Save

// In cloud shell , run :-

sed -i "s/green/orange/g" source/html.go

sed -i "s/YOUR_PROJECT/$GOOGLE_CLOUD_PROJECT/g" Jenkinsfile
git config --global user.email "you@example.com"              // Email
git config --global user.name "student..."                       // Username
git add .
git commit -m "built pipeline init"
git push 

// In  Jenkins click Build and wait to get score.







Location: Mumbai, Maharashtra, India

Comments

Post a Comment

Popular posts from this blog

Create ML Models with BigQuery ML:Challenge Lab

Image
  GSP341 : Create ML Models with BigQuery ML: Challenge Lab :- ---------------------------------------------------------------------------------------------------------------------------------------------- Task 1: Create a dataset to store your machine learning models :- In Cloud Shell :- bq mk austin // Navigation Menu -> BigQuery. ---------------------------------------------------------------------------------------------------------------------------------------------- Task 2: Create a forecasting BigQuery machine learning model :- // In BigQuery Console Query Editor :- CREATE OR REPLACE MODEL austin.location_model OPTIONS   (model_type='linear_reg', labels=['duration_minutes']) AS SELECT     start_station_name,     EXTRACT(HOUR FROM start_time) AS start_hour,     EXTRACT(DAYOFWEEK FROM start_time) AS day_of_week,     duration_minutes, FROM     `bigquery-public-data.austin_bikeshare.bikeshare_trips` AS trips JOIN   ...
Read more

Perform Foundational Data, ML, and AI Tasks in Google Cloud

Image
  Task 1: Run a simple Dataflow job In this task, you have to transfer the data in a CSV file to BigQuery using Dataflow via Pub/Sub. First of all, you need to create a BigQuery dataset called  lab  and a Cloud Storage bucket called with your project ID. 1.1 Created a BigQuery dataset called  lab In the Cloud Console, click on  Navigation Menu  >  BigQuery . Select your project in the left pane. Click  CREATE DATASET . Enter  lab  in the Dataset ID, then click  Create dataset . Run  gsutil cp gs://cloud-training/gsp323/lab.schema .  in the Cloud Shell to download the schema file. View the schema by running  cat lab.schema . Go back to the Cloud Console, select the new dataset  lab  and click  Create Table . In the Create table dialog, select  Google Cloud Storage  from the dropdown in the Source section. Copy  gs://cloud-training/gsp323/lab.csv  to  Select file from GCS bucke...
Read more

My Experience in LGM-SOC

Image
 Hello everyone we all know that now a days open source has become a new craze between all of us we are just attracted towards. Few months before I applied in the LGM SOC as  I started contributing over there it help me a lot in merging my first pr in the open source project. letsgrowmore.in To say in short: It’s a project of which the source code is open to everyone, and everyone is able and allowed to participate, be it by writing bugfixes, major changes, … Most commercial products clearly don’t fall under this category, seeing as they’re in house and the code is only accessible to developers of that company. Github, however, is filled with projects that are. All you need to do, is pull a project, create a branch, and start coding. Of course, if you first get on the same page as the maintainers, the chances of your changes being merged into the master branch are bigger. A very well known example of an Open Source project: Linux operating systems. You find a bug? go ahead and...
Read more