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docs/integration-services/message-bus/README.md
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# Message Bus
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## Overview
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The Message Bus service will provide the central event-driven communication infrastructure for the stock-bot platform. It will enable reliable, scalable, and decoupled interaction between services through asynchronous messaging, event streaming, and publish-subscribe patterns.
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## Planned Features
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### Messaging Infrastructure
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- **Topic-based Messaging**: Publish-subscribe communication model
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- **Message Queuing**: Reliable message delivery with persistence
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- **Event Streaming**: Real-time event processing with replay capabilities
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- **Message Routing**: Dynamic routing based on content and metadata
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- **Quality of Service**: Various delivery guarantee levels (at-least-once, exactly-once)
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### Message Processing
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- **Message Transformation**: Content transformation and enrichment
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- **Message Filtering**: Rules-based filtering of messages
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- **Schema Validation**: Enforcement of message format standards
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- **Serialization Formats**: Support for JSON, Protocol Buffers, Avro
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- **Compression**: Message compression for efficiency
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### Operational Features
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- **Dead Letter Handling**: Management of unprocessable messages
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- **Message Tracing**: End-to-end tracing of message flow
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- **Event Sourcing**: Event storage and replay capability
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- **Rate Limiting**: Protection against message floods
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- **Back-pressure Handling**: Flow control mechanisms
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### Integration Capabilities
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- **Service Discovery**: Dynamic discovery of publishers/subscribers
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- **Protocol Bridging**: Support for multiple messaging protocols
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- **External System Integration**: Connectors for external message systems
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- **Legacy System Adapters**: Integration with non-event-driven systems
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- **Web Integration**: WebSocket and SSE support for web clients
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## Planned Integration Points
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### Service Connections
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- All platform microservices as publishers and subscribers
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- Trading Dashboard (for real-time updates)
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- External Data Sources (for ingestion)
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- Monitoring Systems (for operational events)
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## Planned Technical Implementation
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### Technology Stack
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- **Messaging Platform**: Kafka or RabbitMQ
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- **Client Libraries**: Native TypeScript SDK
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- **Monitoring**: Prometheus integration for metrics
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- **Management**: Admin interface for topic/queue management
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- **Storage**: Optimized storage for event persistence
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### Architecture Pattern
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- Event-driven architecture
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- Publish-subscribe pattern
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- Command pattern for request-response
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- Circuit breaker for resilience
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## Development Guidelines
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### Message Design
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- Event schema standards
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- Versioning approach
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- Backward compatibility requirements
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- Message size considerations
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### Integration Patterns
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- Event notification pattern
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- Event-carried state transfer
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- Command messaging pattern
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- Request-reply pattern implementations
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### Operational Considerations
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- Monitoring requirements
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- Scaling guidelines
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- Disaster recovery approach
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- Message retention policies
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## Implementation Roadmap
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1. Core messaging infrastructure
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2. Service integration patterns
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3. Operational tooling and monitoring
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4. Advanced features (replay, transformation)
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5. External system connectors and adapters
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