Build a Website on Google Cloud: Challenge Lab

GSP319 : Build a Website on Google Cloud: Challenge Lab :-

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Task 1: Download the monolith code and build your container :-

git clone https://github.com/googlecodelabs/monolith-to-microservices.git

cd ~/monolith-to-microservices
./setup.sh

cd ~/monolith-to-microservices/monolith
npm start

gcloud services enable cloudbuild.googleapis.com
gcloud builds submit --tag gcr.io/${GOOGLE_CLOUD_PROJECT}/fancytest:1.0.0 .

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Task 2: Create a kubernetes cluster and deploy the application :-

gcloud config set compute/zone us-central1-a
gcloud services enable container.googleapis.com
gcloud container clusters create fancy-cluster --num-nodes 3

kubectl create deployment fancytest --image=gcr.io/${GOOGLE_CLOUD_PROJECT}/fancytest:1.0.0
kubectl expose deployment fancytest --type=LoadBalancer --port 80 --target-port 8080

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Task 3: Create a containerized version of your Microservices :-

cd ~/monolith-to-microservices/microservices/src/orders
gcloud builds submit --tag gcr.io/${GOOGLE_CLOUD_PROJECT}/orders:1.0.0 .

cd ~/monolith-to-microservices/microservices/src/products
gcloud builds submit --tag gcr.io/${GOOGLE_CLOUD_PROJECT}/products:1.0.0 .

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Task 4: Deploy the new microservices :-

kubectl create deployment orders --image=gcr.io/${GOOGLE_CLOUD_PROJECT}/orders:1.0.0
kubectl expose deployment orders --type=LoadBalancer --port 80 --target-port 8081

kubectl create deployment products --image=gcr.io/${GOOGLE_CLOUD_PROJECT}/products:1.0.0
kubectl expose deployment products --type=LoadBalancer --port 80 --target-port 8082

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Task 5: Configure the Frontend microservice :-

cd ~/monolith-to-microservices/react-app
nano .env

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Task 6: Create a containerized version of the Frontend microservice :-

cd ~/monolith-to-microservices/microservices/src/frontend
gcloud builds submit --tag gcr.io/${GOOGLE_CLOUD_PROJECT}/frontend:1.0.0 .

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Task 7: Deploy the Frontend microservice :-

kubectl create deployment frontend --image=gcr.io/${GOOGLE_CLOUD_PROJECT}/frontend:1.0.0

kubectl expose deployment frontend --type=LoadBalancer --port 80 --target-port 8080

 





Location: Mumbai, Maharashtra, India

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