Sitemap

Member-only story

Event Sourcing Pattern in Microservices (With Real-World Example)

Learn how the Event Sourcing pattern works in microservices. Understand how to store state changes as events, ensure data consistency, and use Kafka or EventStore for implementation.

4 min readMar 7, 2025

This is a member-only article. For non-members, read this article for free on my blog: Event Sourcing Pattern in Microservices (With Real-World Example).

Check out my bestseller Udemy course: [NEW] Building Microservices with Spring Boot & Spring Cloud. // best on Udemy

🚀 Introduction: What is Event Sourcing in Microservices?

In traditional database systems, when an entity is updated, the old data is overwritten. However, in distributed microservices, this approach leads to:
Data inconsistency across multiple services
Lack of historical data tracking
Challenges in debugging and auditing

✅ Solution: The Event Sourcing Pattern

Instead of storing only the latest state, Event Sourcing stores all changes as a sequence of immutable events.

Each event represents a state change (e.g., OrderCreated, OrderUpdated, OrderCancelled).
✔ The current state is derived by replaying all past events.
✔ This allows full

--

--

Responses (1)