Learn IBM-CLOUD-FUNCTIONS with Real Code Examples
Updated Nov 25, 2025
Architecture
Functions are lightweight containers executed on demand
Triggers listen to events (HTTP requests, cloud events, cron schedules, messages)
Rules bind triggers to functions
Sequences allow chaining multiple functions
Functions integrate with IBM Cloud services for data and AI processing
Rendering Model
Function packaged and deployed via IBM Cloud CLI or console
Triggered by events from HTTP, cron, or cloud services
Executed in isolated runtime container
Logs and metrics collected automatically
Sequences allow chaining multiple functions
Architectural Patterns
Event-driven functions and workflows
Rules linking triggers to actions
Sequences for function composition
Integration with IBM Cloud services
Stateless, ephemeral execution environments
Real World Architectures
Event-driven APIs with IBM Cloud Functions
AI-powered serverless workflows
Data pipelines from storage to analytics
Webhook handlers for third-party integrations
Cron-based serverless tasks for automation
Design Principles
Serverless and event-driven
Automatic scaling with no server management
Integration-first approach with IBM Cloud ecosystem
Supports multi-language runtimes
Focus on enterprise reliability and security
Scalability Guide
Automatic scaling based on incoming events
Split workload into multiple small actions
Use sequences for complex workflows
Monitor logs and metrics to optimize performance
Leverage IBM Cloud services for state and caching
Migration Guide
Move existing code into IBM Cloud Functions actions
Configure triggers for events or HTTP endpoints
Create rules to bind triggers to actions
Adapt code to supported runtime
Test function and deploy sequences for workflows