Event Sourcing & Message Handling

This directory contains documentation for event sourcing, message queues, and event-driven architecture including real-time event processing and stream analytics.

📋 Overview

The Events service provides comprehensive event sourcing and message handling capabilities, featuring event-driven architecture, real-time stream processing, and reliable message delivery for scalable system integration.

📁 Documentation Structure

Event Sourcing

[Event store and sourcing patterns to be documented]
[Event versioning and schema evolution]
[CQRS implementation and read models]

Message Systems

[Message queues and pub/sub patterns]
[Event streaming and real-time processing]
[Dead letter queues and error handling]

Integration Patterns

[Service integration and choreography]
[Event-driven microservices communication]
[Saga patterns and distributed transactions]

🔐 Reliability & Security

Event operations ensure reliability and security:

Message durability: Persistent message storage and delivery
Encryption: End-to-end message encryption
Access controls: Event-based authorization and permissions
Audit trails: Complete event history and lineage

🚀 Key Features

Event Processing

Real-time streaming: Low-latency event stream processing
Event replay: Historical event replay and reprocessing
Stream analytics: Real-time event analytics and aggregation
Pattern detection: Complex event pattern matching

Message Delivery

At-least-once delivery: Guaranteed message delivery
Ordering guarantees: Message ordering and sequencing
Backpressure handling: Flow control and rate limiting
Multi-tenant isolation: Tenant-scoped event streams

📊 API Reference

Event operations are defined in:

events.yaml - Complete API specification
realtime.asyncapi.yaml - AsyncAPI specification

🧪 Coming Soon

Event sourcing architecture diagrams
Message flow documentation
CQRS implementation guides
Stream processing patterns

Event-driven architecture with reliable messaging and real-time stream processing.