Member-only story
🚫 Stop Sharing Databases Between Microservices: Use Database Per Service Pattern
One of the most common mistakes teams make when moving to microservices is keeping a shared database across services. While it may feel familiar and simple at first, it silently breaks the boundaries of your microservices and leads to long-term pain.
In a true microservices architecture, each service is supposed to be independent — in code, in deployment, and in data. That’s why the “Database per Service” pattern is one of the most important rules to follow if you want the benefits of microservices to actually work.
In this article, we’ll explore:
- Why sharing databases is harmful in a microservices setup
- What the “Database per Service” pattern really means
- How to implement this pattern in your Java/Spring Boot project
- Tools and techniques to handle cross-service data access
- Real-world tips for adopting this pattern gradually
❌ The Problem with a Shared Database
Let’s say you have three services:
UserServiceOrderServiceInventoryService
But all of them connect to the same PostgreSQL database. This sounds fine in the beginning. After all, they can share tables and run queries easily. But over time, this setup causes several serious problems.
