Microservices database per service

In recent years, microservices architecture has gained popularity in the software development world as a way to create applications that are more scalable, resilient, and flexible.

At the heart of this architecture is the idea of breaking down an application into small, independent services that can be developed, deployed, and scaled separately. However, managing data in a microservices architecture can be challenging, especially when multiple services need to access the same data. In this article, we will discuss the database per service pattern, which is a common approach to managing data in a microservices architecture.

What is a Microservices Architecture?

Before we dive into the database per service pattern, let’s take a quick look at what a microservices architecture is. In a traditional monolithic architecture, an application is developed as a single, cohesive unit that handles all of its functionality. However, in a microservices architecture, an application is broken down into small, independent services that each handle a specific piece of functionality. Each service can be developed, deployed, and scaled independently, allowing for greater flexibility and agility.

A microservices architecture typically includes several components, including a service registry, a load balancer, and a messaging…