Initial commit: add .gitignore and README
This commit is contained in:
defiQUG
230
EVENT_DRIVEN_ARCHITECTURE.md
Normal file
230
EVENT_DRIVEN_ARCHITECTURE.md
Normal file
@@ -0,0 +1,230 @@
|
||||
# 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<string, unknown>;
|
||||
}
|
||||
```
|
||||
|
||||
### 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
|
||||
|
||||
Reference in New Issue
Block a user