Implementing Database per Service Pattern in Microservices

Introduction

In micro services architecture, maintaining data consistency and ensuring loose coupling between services are crucial. One effective strategy is the Database per Service pattern. This article explores the concept, its benefits, and practical implementation with code examples.

When to Use

• Decoupled Services: Ideal when services need to be developed, deployed, and scaled independently.
• Different Data Storage Needs: Useful when different services have distinct data storage requirements (e.g., relational vs. NoSQL).
• Complex Data Models: Suitable when services have unique data models that do not overlap with others.

Why Use This Pattern

• Loose Coupling: Ensures services are loosely coupled, improving scalability and maintainability.
• Flexibility in Technology: Allows each service to use the most suitable database technology for its needs.
• Enhanced Modularity: Promotes clear separation of concerns, with each service managing its own data.

Problem

• Database Architecture Complexity: Designing a database architecture that supports multiple microservices while…