Google Cloud Compute Engine

Google Cloud Console

Google Cloud Run

• Navigate to folder cloud_run.

• We have main.py and requirements.txt for running our flask server.

• Head to GCP and enable the Cloud Run

• Run the following command.

  cd cloud_run
  gcloud config set run/region asia-east1 
  gcloud run deploy --source . cr-api

Google App Engine

• Navigate to folder app_engine.

• We have here an angular project, which can also be any other framework.

• Create an app.yaml file for configurations for the App Engine.

• In this app.yml file we will give basic configurations like runtime, env, service, instance_class, handlers etc.

• Runtime indicates the runtime environment of the App Engine - we will use python39.

• Runtime can be any of the following: Go, Python, NodeJs, Java, PHP or Ruby.

• env - stands for environment, we will use standard.

• service - is for the name of the service in app engine, we will name it ae-fe.

• instance_class - we will use as F2.

• handlers will have the urls for servicing we will specify as mentioned in app.yaml.

• Head to GCP and enable App Engine, follow the necessary steps and complete the process.

• Run the following commands.

  cd app_engine
  npm run build 
  gcloud app deploy

Google Compute Engine (VM)

• Go to Google Cloud Console
• Create a project if not created
• Link a billing account
• Search for VM in the searchbar
• Enable the VM and follow necessary steps to complete it
• After setting up of VM open it via browser to access the OS installed on it to perform functions
• This is like a remote machine with internet connection and everything we run needs to be setup there to be used

License

MIT