Learn GOOGLE-CLOUD-FUNCTIONS with Real Code Examples

HTTP API for a serverless backend

Trigger function on new Cloud Storage file upload

Process Pub/Sub messages in real-time

Automate sending emails on Firebase events

Transform data and store in BigQuery

Check function logs in Cloud Logging

Verify trigger configurations

Ensure correct IAM permissions

Test function locally using `functions-framework`

Monitor execution time and memory usage

Unit test functions locally using testing frameworks

Use `functions-framework` for local emulation

Deploy to test environment in GCP

Trigger events to verify behavior

Check logs and monitor execution

Deploy to a specific GCP region

Use `gcloud functions deploy` CLI

Deploy via Terraform or Deployment Manager

Integrate deployment with CI/CD pipelines

Version functions for rollback and updates

Google Cloud SDK (`gcloud` CLI)

Google Cloud Console

Cloud Logging and Monitoring

Cloud Build for CI/CD

Cloud Scheduler and Pub/Sub

Cloud Pub/Sub for messaging

Cloud Storage for file events

Firestore / Firebase for database triggers

BigQuery for analytics

Cloud Tasks and Cloud Scheduler for automation

Use templates and boilerplate for function scaffolding

Leverage Cloud Build for CI/CD

Use functions-framework for local testing

Monitor execution and logs for optimization

Automate deployment with scripts or Terraform

Managing cold-start latency

Understanding trigger configurations

Optimizing resource usage for cost and performance

Integrating multiple GCP services

Debugging distributed serverless workflows