Learn GOOGLE-CLOUD-FUNCTIONS with Real Code Examples

Automatic scaling allows high concurrency

Cold-start latency for infrequently invoked functions

Execution time limited per invocation

Memory allocation affects performance and cost

Optimized for event-driven, short-lived workloads

Use IAM to control function access

Avoid storing secrets in code (use Secret Manager)

Validate input from triggers

Use HTTPS endpoints for public functions

Regularly review logs and access permissions

Use Cloud Logging for function logs

Use Cloud Monitoring for performance metrics

Set alerts for failed executions

Analyze cold-start impacts

Monitor memory, CPU, and execution duration

Write idempotent functions

Handle errors gracefully

Optimize memory and execution time

Unit test functions locally

Monitor logs and performance metrics