Microservices architecture has gained popularity in recent years as a way to design complex and scalable applications. In this architecture, applications are divided into small, autonomous services that work together to provide the necessary functionality. Each microservice performs a specific task and communicates with other microservices through APIs. Data management is an essential part of microservices, and there are various patterns that can be used to handle data effectively.
Data Management in Microservices
Microservices architecture is characterized by a collection of small, independent services that are loosely coupled and communicate with each other using APIs. Each service is responsible for performing a specific business function and can be developed, deployed, and scaled independently. In a microservices architecture, data is distributed across multiple services, and each service has its database or data store. This distribution of data can present challenges in managing data consistency, data redundancy, data access, and data storage.