Implementing Event Sourcing Architecture in Go: From Theory to Production
By
tdom
An everything bagel for the brain. Substantive, layered, well-seasoned.
Summary
This article provides a comprehensive guide to implementing event sourcing in Go, covering the core concepts of append-only architecture, CQRS (Command Query Responsibility Segregation), and practical production implementation. It explains how event sourcing differs from traditional databases by maintaining a complete history of all state changes as immutable events, enabling features like audit trails, time travel debugging, and processing 10K events per second. The article walks through theory to production implementation using PostgreSQL as an event store.
Key quotes
· 4 pulledEvent sourcing: append-only architecture processing 10K events/sec with complete history, time travel debugging, and CQRS.
Your database shows current state. But how did it get there? Who changed what? When? Why?
Event sourcing with append-only log. No UPDATE, no DELETE - only INSERT. Complete audit trail built-in.
From theory to production implementation.
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