Microservices are undoubtedly impacting the way in which applications are created today, as well as how we continue to manage our large existing applications. They provide unique opportunities for companies to create a more scalable version of their applications which can translate into highly performant applications. Due to the functional and operational complexities of microservices applications, testing microservices in Java applications is a point of emphasis for development teams.

Due to the increasing adoption of microservices for a wide variety of Java applications, the need for robust testing has become more important than ever. Part of that is due to the increasing responsibilities for developers, but the more significant cause is that microservices applications can get complex quickly. That means that individual containers and the application both need to be continually tested to ensure success during microservices deployment.

One of the reasons that testing microservices is so difficult is because of the complications that come to play. Each service has its own built code base, database schema and dependency management. Because of these varieties, you often test the application locally by running up all these services and then running your testing options for your code.

Getting the services all up and running on your machine can take quite some time before you are able to test your application. This is often broken down into a couple of testing processes used in microservices: unit testing, load testing, end-to-end functionality testing, performance testing, and others. You need more information on how we did this? Let’s have a quick sync up