Member-only story
Shared Database Pattern in Microservices Architecture
Introduction
In a microservices architecture, data management is crucial for ensuring consistency and effective service interaction. The Shared Database Pattern provides a way to achieve this by using a single database accessible by multiple services. This article explores when and why to use this pattern, its challenges, and its benefits, complete with code examples.
Context
Imagine developing an online store application where various services like Order Service and Customer Service need to persist data. In this setup, each service typically requires access to a database to store and manage its data.
Problem
The core issue is determining the appropriate database architecture for a microservices application that maintains data consistency and allows for effective service interaction.
Forces
- Loose Coupling: Services must be loosely coupled to allow independent development, deployment, and scaling.
- Transactional Integrity: Business transactions often need to enforce rules across multiple services, such as ensuring an order does not exceed a customer’s credit limit.
- Cross-Service Queries: Some queries require data from multiple…
