# Event-Driven Architecture Design **Date**: 2025-01-27 **Purpose**: Design document for event-driven architecture integration **Status**: Design Document --- ## Executive Summary This document outlines the design for implementing event-driven architecture across the workspace, enabling cross-project communication and real-time updates. --- ## Architecture Overview ### Components 1. **Event Bus** (NATS, RabbitMQ, or Kafka) 2. **Event Producers** (Projects publishing events) 3. **Event Consumers** (Projects subscribing to events) 4. **Event Schemas** (Shared event definitions) 5. **Event Monitoring** (Observability and tracking) --- ## Technology Options ### Option 1: NATS (Recommended) **Pros**: - Lightweight and fast - Simple setup - Good for microservices - Built-in streaming (NATS JetStream) **Cons**: - Less mature than Kafka - Limited enterprise features ### Option 2: RabbitMQ **Pros**: - Mature and stable - Good management UI - Flexible routing - Good documentation **Cons**: - Higher resource usage - More complex setup ### Option 3: Apache Kafka **Pros**: - High throughput - Durable message storage - Excellent for event streaming - Enterprise features **Cons**: - Complex setup - Higher resource requirements - Steeper learning curve **Recommendation**: Start with NATS for simplicity, migrate to Kafka if needed for scale. --- ## Event Schema Design ### Event Structure ```typescript interface BaseEvent { id: string; type: string; source: string; timestamp: Date; version: string; data: unknown; metadata?: Record; } ``` ### Event Types #### User Events - `user.created` - `user.updated` - `user.deleted` - `user.authenticated` #### Transaction Events - `transaction.created` - `transaction.completed` - `transaction.failed` - `transaction.cancelled` #### System Events - `system.health.check` - `system.maintenance.start` - `system.maintenance.end` --- ## Implementation Plan ### Phase 1: Event Bus Setup (Weeks 1-2) - [ ] Deploy NATS/RabbitMQ/Kafka - [ ] Configure clusters - [ ] Set up authentication - [ ] Configure monitoring ### Phase 2: Event Schemas (Weeks 3-4) - [ ] Create shared event schemas package - [ ] Define event types - [ ] Create validation schemas - [ ] Document event contracts ### Phase 3: Producer Implementation (Weeks 5-6) - [ ] Implement event producers in projects - [ ] Add event publishing utilities - [ ] Test event publishing - [ ] Monitor event flow ### Phase 4: Consumer Implementation (Weeks 7-8) - [ ] Implement event consumers - [ ] Add event handlers - [ ] Test event processing - [ ] Handle errors and retries ### Phase 5: Monitoring (Weeks 9-10) - [ ] Set up event monitoring - [ ] Create dashboards - [ ] Set up alerts - [ ] Track event metrics --- ## Event Patterns ### Publish-Subscribe - Multiple consumers per event - Decoupled producers and consumers - Use for notifications ### Request-Reply - Synchronous communication - Response required - Use for RPC-like calls ### Event Sourcing - Store all events - Replay events for state - Use for audit trails --- ## Security ### Authentication - Use TLS for connections - Authenticate producers/consumers - Use service accounts ### Authorization - Topic-based permissions - Limit producer/consumer access - Audit event access --- ## Monitoring ### Metrics - Event publish rate - Event consumption rate - Processing latency - Error rates - Queue depths ### Alerts - High error rate - Slow processing - Queue buildup - Connection failures --- ## Best Practices ### Event Design - Keep events small - Use versioning - Include correlation IDs - Make events idempotent ### Error Handling - Retry with backoff - Dead letter queues - Log all errors - Alert on failures ### Performance - Batch events when possible - Use compression - Monitor throughput - Scale horizontally --- ## Migration Strategy ### Gradual Migration 1. Deploy event bus 2. Migrate one project as pilot 3. Add more projects gradually 4. Monitor and optimize ### Coexistence - Support both sync and async - Gradual migration - No breaking changes - Rollback capability --- **Last Updated**: 2025-01-27