GCP Serverless Functions

Define cloud functions as units that run small snippets of code without provisioning or managing underlying servers.

create a new gcp project for your cloud functions, attach a billing account and organization, and configure iam roles to grant cloud function admin access.

Learn to authenticate and trigger a cloud function using gcloud's authenticated http endpoint, including login, token retrieval, and making a request with an authorization header that returns hello world.

Learn to access authenticated cloud functions via REST using OAuth 2.0 with PKCE, obtain an ID token in Postman, and grant the Cloud Functions Invoker role to a user.

Explore how cloud functions deploy: store the function zip in cloud storage, build a container image with cloud build, push to the container registry, and run the function.

Set up a GCP scheduler to trigger a cloud function via a GET request, using a service account with invoke permission and an API key stored as an environment variable.

Design a VPC serverless connect architecture that isolates private instances inside a virtual private cloud and enables a cloud function to access them without exposing them to the internet.

Build a serverless workflow where uploading a course thumbnail triggers cloud function that uses Google Vision APIs to detect text and emails the user via SendGrid if text is found.

Learn architecture using pub sub with cloud functions: an e-commerce order routes to a topic, triggering one function to email the user and another to prepare data for analysis.

Deploy a cloud function with cloud build, configuring the function name, entry point, container image in the US central region, and GitHub triggers.