Also known as the Microservice Architecture, Microservices has established itself as an architectural style that structures an application as a collection of services. It is a method of creating software systems that focuses on building single modules that are well-defined. This architecture was developed keeping compatibility in mind and the rise of Agile methodology and Dev-Ops. Microservices can be differentiated from monolithic systems on the basis of the fact that monolithic architectures look to build software as a whole autonomous unit, which leads to multiple iterations of the same software if subtle changes are to be made. Microservices overcomes these barriers by introducing modularity. Every function is independent and can be programmed in different languages. These modules are often connected to each other through API Gateways.
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Data Management Using Microservices
- Database Per Service Pattern: - This essentially means providing each service with its own database so no other service can access data of other services directly. Communication of data between different services can only occur through APIs.
- Shared Database Pattern: - Every service has a common database and they can access data within this database freely using local ACID transactions.
- Saga Pattern: - Saga ensure data consistency through transactions that span across multiple services by creating a sequence of local transactions. These transactions update the database and trigger the next set of transactions upon successful completion.
- API Composition: - API composition implements a query by defining an API Composer, which performs an in-memory join of the results.
- CQRS Pattern: - Command Query Responsibility Segregation allows data to be retrieved from multiple services while using Database per service pattern.
- Transactional Outbox Pattern: - It allows services to reliably update databases and push messages and domain events, in order to avoid inconsistencies and bugs.
- To be able to use Microservices to its full capacity, it is important to understand in-depth, the capabilities of such an architecture and its viability in the modern era. We, at GeekyAnts, have been experimenting with Microservices and testing waters with its reliability, in terms of consistency and its adaptability with Agile and DevOps methods.
Some Microservices That We Play With
- Java-Based: Spring Boot, Spring Cloud, Dropwizard
- Go Based: Gizmo, Micro, Go Kit
- NodeJs Based: Molecular
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