An overview analysis of the different methods used to test the automation of microservices, from Unit Testing to End-to-end Testing.

Organizations at some stage of their journey switch to a microservices architecture, which is a collection of self-contained and autonomous services that help execute a business capability from a monolithic architecture to derive key business benefits.

In a microservices architecture, an entire codebase doesn’t have to be rewritten to add or modify an application feature. Organizations thus reduce time-to-market for their applications and products. Debugging and testing applications are simpler too, and it helps organizations significantly improve their rate of delivering error-free applications.

However, with microservices, testing is not straightforward.

For starters, each independent service is communicating with other services in multiple and often unexpected ways. Dependency is one of the challenges: while each microservice must function on its own, it’s not uncommon for one part of the system to access data managed by another (known as data sharing). New dependencies emerge as new features are added. A microservices architecture must be able to handle potential issues (database errors, network congestion, and latency, service unavailability, to name a few) with the increase in the number of services.

To test microservices, software testing companies must be aware of not only an isolated service but also its dependencies and build their test strategy accordingly.

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