Microservices have fundamentally changed the way server side applications are architected. Rather than a single giant monolithic codebase hosting all the business logic of your application, microservices reflect the distributed systems model, where a group of application components work together to deliver the business needs.
1. The Single Responsibility Principle
2. Have a separate data store(s) for your microservice
3. Use asynchronous communication to achieve loose coupling
To avoid building a mesh of tightly coupled components, consider using asynchronous communication between microservices.
4. Fail fast by using a circuit breaker to achieve fault tolerance
5. Proxy your microservice requests through an API Gateway
6. Ensure your API changes are backwards compatible
You can safely introduce changes to your API and release them fast as long as they don’t break existing callers.
7. Version your microservices for breaking changes
It's not always possible to make backwards compatible changes. When you are making a breaking change, expose a new version of your endpoint while continuing to support older versions. Consumers can choose to use the new version at their convenience. However, having too many versions of your API can create a nightmare for those maintaining the code. Hence, have a disciplined approach to deprecate older versions by working with your clients or internally rerouting the traffic to the newer versions.
8. Have dedicated infrastructure hosting your microservice
You can have the best designed microservice meeting all the checks, but with a bad design of the hosting platform it would still behave poorly. Isolate your microservice infrastructure from other components to get fault isolation and best performance. It is also important to isolate the infrastructure of the components that your microservice depends on.
9. Create a separate release train
10. Create Organizational Efficiencies
While microservices give you the freedom to develop and release independently, certain standards need to be followed for cross cutting concerns so that every team doesn’t spend time creating unique solutions for these. This is very important in a distributed architecture such as microservices, where you need to be able to connect all the pieces of the puzzle to see a holistic picture. Hence, enterprise solutions are necessary for API security, log aggregation, monitoring, API documentation, secrets management, config management, distributed tracing, etc.
By following these microservices best practices, you should end up with a loosely coupled, distributed, and independent microservice system, wherein you can achieve the true benefits of a microservices architecture as listed at the beginning of this article.