Introduction
Introduction
Most applications store only current state - when something changes, the old data is lost. Event sourcing takes a different approach: …
Read Article →Go Event Sourcing
9 articles about go event sourcing development, tools, and best practices
Event Sourcing Fundamentals
Event Sourcing Fundamentals
Before diving into implementation details, let’s establish a solid understanding of event sourcing concepts and how …
Read Article →Event Store Design and Implementation
Event Store Design and Implementation
The event store is the heart of any event sourcing system. It’s responsible for persisting events and …
Read Article →CQRS Pattern Integration
CQRS Pattern Integration
Command Query Responsibility Segregation (CQRS) is a pattern that separates the read and write operations of a data store. …
Read Article →Event Processing and Projections
Event Processing and Projections
In event sourcing, projections are read models built by consuming events and updating query-friendly data structures. …
Read Article →Snapshotting and Performance Optimization
Snapshotting and Performance Optimization
As event stores grow, rebuilding aggregates from their entire event history becomes increasingly expensive. …
Read Article →Event Versioning and Migration
Event Versioning and Migration
As your system evolves, event schemas will change. Event versioning and migration strategies are essential for …
Read Article →Saga Pattern Implementation
Saga Pattern Implementation
In distributed systems, transactions that span multiple services present a significant challenge. The Saga pattern …
Read Article →Production Deployment and Monitoring
Production Deployment and Monitoring
Deploying event-sourced systems to production requires careful consideration of performance, scalability, and …
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