/google-compute

Samples deployments for Google Cloud Run, Google App Engine and Google Compute Engine (VM)

Primary LanguageHTML

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