Learn GOOGLE-CLOUD-FUNCTIONS with Real Code Examples

Create a Google Cloud account

Install Google Cloud SDK (`gcloud`) locally

Enable Cloud Functions API in GCP Console

Initialize project and set up billing

Deploy your first function using `gcloud functions deploy`

Install Google Cloud SDK

Create or select GCP project

Enable Cloud Functions API

Set up billing and IAM permissions

Deploy and test your first function

package.json / requirements.txt / go.mod - dependency management

.gcloudignore - ignore files for deployment

main code file - index.js, main.py, etc.

config/ - optional environment configurations

scripts/ - automation and deployment helpers

gcloud functions deploy <name> --runtime <runtime> --trigger-http -> deploy

gcloud functions logs read <name> -> view logs

gcloud functions call <name> --data '{}' -> invoke function

gcloud functions delete <name> -> remove function

functions-framework -> run functions locally

UTF-8 supported by default

Developer handles localization in function logic

Supports global HTTP clients

Integration with translation services possible

Cross-region deployments for global reach

HTTP-triggered functions accessible via web

Other triggers accessible via GCP services

IAM roles control access

Supports CORS for web clients

Global deployment via regions

Functions are backend-only

Expose endpoints for frontend apps

Integrate with SPA frameworks or mobile apps

No native UI components

Optional dashboards via Google Cloud Console

Stateless execution per invocation

External state managed via Cloud Storage, Firestore, or databases

Environment variables provide configuration

No local persistent storage between invocations

Sessions handled via external services

Input via triggers (HTTP, Pub/Sub, Storage events)

Output via logs, databases, or cloud services

Temporary memory within invocation

Integration with BigQuery for analytics

Optional caching via Memorystore or external services