Database Per Service Pattern in Microservices — A Complete Guide

Each service is responsible for its own data management in a microservices architecture. The Database Per Service Pattern ensures that every microservice has its own dedicated database instead of sharing a single monolithic database. This approach enhances scalability, autonomy, and data consistency across microservices.

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This guide will cover everything about the Database Per Service Pattern, including:

• What it is and why it’s important
• Key benefits and challenges
• Common implementation strategies
• Comparison with other database patterns
• Best practices for implementation
• A real-world e-commerce example with implementation (Java, Spring Boot, Spring Cloud)

1️⃣ What is the Database Per Service Pattern?

The Database Per Service Pattern ensures that each microservice has its own private database. This approach prevents direct database access between services, enforcing better service boundaries and independence.

📌 Key Concept:

• Each microservice…