![]() ![]() ![]() Rather than testing the application as a whole, it makes more sense to run microservice performance tests at a unit level. Of course, it’s also required to test microservice performance from the UI to guarantee a high-quality user experience. Using a dashboard that tracks microservice performance between each build is also recommended, as it will allow you to easily detect regression in terms of performance. It’s important to create and run component tests on each core microservice and include these in the building process. Identifying and resolving performance issues before your application, with its distributed architecture, is pushed to production is key. Best practices for testing microservicesįirst thing, you’ll want to start testing the performance of microservices early on in your software development life cycle. Creating an environment of connected services is a challenge in itself. It’s likely that testing one microservice will require testing a different service that is handled by a separate team. One of the biggest challenges teams will face when load and performance testing microservices is the dependency between the services. While this may not seem like a challenge, it does introduce a layer of complexity for testers. If a project uses multiple protocols, however, then testers will need to approach it with an entirely different set of testing techniques. ![]() ![]() If not, teams can utilize the REST API, which would then make it easier to handle one standard protocol for the project. If the architecture is well organized, developers will have picked one protocol to exchange between the services. Teams with a microservices architecture are able to deploy more often in small patches - and if your testing approach is limited to the UI, chances are you’ll need to spend more time updating and maintaining your testing scenarios.Īn application’s architecture may also present challenges when load and performance testing microservices. This can result in an influx of testing scenarios that will no longer work due to the minor changes made to other microservices during the release. In each new release, different pieces of functionality are deployed. However, performance testing microservices becomes a challenge from the moment testers have to measure user experience through the UI. If no dependencies exist between services, each microservice can simply be tested, one by one, to assess performance. This type of performance testing presents no major challenges. When performance testing a single microservice, testers are limited to an interface that doesn’t change very often. Common challenges in performance testing microservices Let’s take a closer look at some of the common challenges of performance testing microservices, explore best practices for testing your microservices, and explain how you can monitor the performance of your microservices in production. Realistically testing load and performance of microservices will allow you to catch any issues early on and make the necessary changes before pushing your application to production. To save yourself a significant amount of time, money, and headaches in production, performance testing your microservices is critical. Therefore, performance must remain top of mind. Microservices introduce a level of complexity in the way that they combine to create a deliverable application. When built correctly, an application with a microservice architecture can be highly scalable while also providing a high degree of functionality and performance to your end users. More and more frequently, we’re encountering projects that use a microservice architectural style, a development approach that results in an application made up of a suite of small services, each running its own process and often communicating through an API over HTTP. ![]()
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