serverless - bobbae/gcp GitHub Wiki
Google Cloud’s serverless platform lets you write code your way without worrying about the underlying infrastructure. Deploy functions or apps as source code or as containers.
https://cloud.google.com/blog/products/serverless/the-next-big-evolution-in-cloud-computing
https://cloud.google.com/blog/products/serverless/introducing-the-programmable-cloud
https://medium.com/gdgeurope/choosing-server-less-option-on-gcp-510e49fdb40a
Cloud Run is a managed compute platform that enables you to run stateless containers that can be invoked via web requests or Pub/Sub events.
App Engine is a fully managed, serverless platform for developing and hosting web applications at scale. You can choose from several popular languages, libraries, and frameworks to develop your apps, then let App Engine take care of provisioning servers and scaling your app instances based on demand.
https://www.youtube.com/watch?v=2PRciDpqpko
Google Cloud Functions is a lightweight compute solution for developers to create single-purpose, stand-alone functions that respond to Cloud events without the need to manage a server or runtime environment.
https://cloud.google.com/functions/docs/2nd-gen/overview
https://cloud.google.com/run/docs/create-jobs
https://medium.com/google-cloud/google-cloud-serverless-technology-never-sleep-8a2e5e97f789
Knative extends Kubernetes to provide a set of middleware components.
You can use Cloud Workflows to create serverless workflows that link a series of serverless tasks together in an order you define. Combine the power of Google Cloud's APIs, serverless products like Google Cloud Functions and Cloud Run, and calls to external APIs to create flexible serverless applications. Workflows require no infrastructure management and scales seamlessly with demand, including scaling down to zero.
https://www.youtube.com/watch?v=Uz8G8fTwwXs
Cloud Tasks lets you separate out pieces of work that can be performed independently, outside of your main application flow, and send them off to be processed, asynchronously, using handlers that you create.
Cloud Machine Learning Engine Prediction Service can serve TensorFlow models and scale.
https://www.youtube.com/watch?v=_JCMN8-yhBM
https://github.com/google-github-actions/setup-gcloud#example-workflows
https://codelabs.developers.google.com/codelabs/cloud-nebulous-serverless-nodejs?hl=en#0
https://cloud.google.com/blog/topics/developers-practitioners/celebrating-pi-day-cloud-functions
Deploy Your Website on Cloud Run