In this article, we are going to discuss Microservices Data Management in order to understand data considerations for microservices. As you know that we learned practices and patterns about Microservices Data Design patterns and add them into our design toolbox. And we will use these pattern and practices when designing e-commerce microservice architecture.
By the end of the article, you will learn how to manage data in Microservices Architectures with applying Microservices Data Design patterns and principles.
Microservices Database Management Patterns and Principles
We are going to talk about Microservices Database Management Patterns and Principles. In which tools, which patterns, which principles, which best practices we can use when considering data management in microservices ?
We already said that managing a microservices database is huge challenging job. And also we said that we should have a strategy. So how we can set a strategy ? Of course using best practices and pattern on this area.
So we should learn about patterns that solve the issues about microservices data decentralization. Microservices should have own data and microservices need to interact and share data with each other. When interact or sharing data between microservices, The problem is, you can’t use ACID transactions between distributed systems. That means its challenging to implement queries and transactions that visits to several microservices.
I will give only the captions of patterns, principles and best practices for Microservices Database Management, and after this article we will elaborate this patterns and principles.
Let’s look at the collection of patterns related to microservices data management. We have 5 common data-related patterns and 1 anti-pattern;
The Database-per-Service pattern
The API Composition pattern
The CQRS pattern