cer/event-sourcing-examples
Event Sourcing Examples
This project is a framework for implementing event sourcing and command query responsibility segregation within containerized microservices. It provides a structured approach to managing business state as a sequence of immutable events, ensuring a reliable audit trail and the ability to reconstruct system state at any point in time.
The framework distinguishes itself by enforcing a clear separation between data modification and data retrieval paths. By utilizing event-driven data synchronization, it allows for the asynchronous updating of materialized views and read models, ensuring that query-optimized data remains current without impacting the performance of primary write operations.
The architecture supports the deployment of components as either independent microservices or a unified monolith, with built-in support for container orchestration to maintain consistency across development and production environments. It facilitates the management of distributed data through denormalized views, providing efficient access to aggregated information across service boundaries.
Features
- Event Sourcing Frameworks - Provides a framework for implementing event sourcing and CQRS patterns within containerized microservices.
- Event Sourcing - Stores business state as an immutable sequence of events to ensure a reliable audit trail.
- CQRS Patterns - Implements the architectural pattern of separating read and write operations for improved performance.
- Command Query Responsibility Segregation - Implements an architectural pattern that separates data modification logic from data retrieval logic.
- CQRS Frameworks - Implements a clear separation between data modification and retrieval paths to improve system responsiveness and scalability.
- Event Sourcing - Persists application state as an immutable sequence of events for full state reconstruction.
- Asynchronous Write Operations - Performs non-blocking background updates to refresh query-optimized database views.
- Event-Driven - Propagates state changes across distributed read models using asynchronous event buses.
- Read Model Projections - Refreshes read models asynchronously to keep queryable data current without blocking writes.
- Containerized Service Deployment - Manages the deployment of interconnected services using container environments for consistent execution.
- Containerized Service Orchestration - Orchestrates the deployment and execution of containerized software components.
- Data Synchronization Services - Synchronizes denormalized read models across service boundaries using asynchronous event streams.
- Microservices Orchestration - Provides orchestration support for deploying containerized components as independent microservices or a unified monolith.
- Multi-Service Container Orchestration - Bundles interconnected services into containerized units for consistent deployment across environments.
- Microservices Deployments - Supports flexible deployment of components as either independent microservices or a unified monolith.
- Event-Driven Architectures - Updates denormalized data structures by consuming event streams for efficient query access.
- Event-Driven Data Consistency - Uses immutable event streams to synchronize state across read models and materialized views for consistent data access.
