Learn IBM-CLOUD-FUNCTIONS with Real Code Examples

Automatic scaling ensures high throughput

Cold starts may affect first request latency

Optimizing function size improves performance

Sequences introduce small latency per action

Use built-in caching and IBM Cloud services for performance gains

Role-based access control via IBM Cloud IAM

HTTPS enforced for all HTTP-triggered actions

API keys and secrets stored securely

Isolated execution environment for each function

Audit logs available via IBM Cloud monitoring

Logs via IBM Cloud console and CLI

Metrics collected per action execution

Sequences tracked for workflow performance

Alerts can be configured for failures

Integration with IBM Cloud monitoring services

Keep actions modular and single-purpose

Write unit tests for each action

Use environment variables for configuration

Monitor logs and handle errors gracefully

Follow IBM Cloud deployment best practices