Message Bus

Overview

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.

Planned Features

Messaging Infrastructure

Topic-based Messaging: Publish-subscribe communication model
Message Queuing: Reliable message delivery with persistence
Event Streaming: Real-time event processing with replay capabilities
Message Routing: Dynamic routing based on content and metadata
Quality of Service: Various delivery guarantee levels (at-least-once, exactly-once)

Message Processing

Message Transformation: Content transformation and enrichment
Message Filtering: Rules-based filtering of messages
Schema Validation: Enforcement of message format standards
Serialization Formats: Support for JSON, Protocol Buffers, Avro
Compression: Message compression for efficiency

Operational Features

Dead Letter Handling: Management of unprocessable messages
Message Tracing: End-to-end tracing of message flow
Event Sourcing: Event storage and replay capability
Rate Limiting: Protection against message floods
Back-pressure Handling: Flow control mechanisms

Integration Capabilities

Service Discovery: Dynamic discovery of publishers/subscribers
Protocol Bridging: Support for multiple messaging protocols
External System Integration: Connectors for external message systems
Legacy System Adapters: Integration with non-event-driven systems
Web Integration: WebSocket and SSE support for web clients

Planned Integration Points

Service Connections

All platform microservices as publishers and subscribers
Trading Dashboard (for real-time updates)
External Data Sources (for ingestion)
Monitoring Systems (for operational events)

Planned Technical Implementation

Technology Stack

Messaging Platform: Kafka or RabbitMQ
Client Libraries: Native TypeScript SDK
Monitoring: Prometheus integration for metrics
Management: Admin interface for topic/queue management
Storage: Optimized storage for event persistence

Architecture Pattern

Event-driven architecture
Publish-subscribe pattern
Command pattern for request-response
Circuit breaker for resilience

Development Guidelines

Message Design

Event schema standards
Versioning approach
Backward compatibility requirements
Message size considerations

Integration Patterns

Event notification pattern
Event-carried state transfer
Command messaging pattern
Request-reply pattern implementations

Operational Considerations

Monitoring requirements
Scaling guidelines
Disaster recovery approach
Message retention policies

Implementation Roadmap

Core messaging infrastructure
Service integration patterns
Operational tooling and monitoring
Advanced features (replay, transformation)
External system connectors and adapters

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