Top 10 Best Tips for API Testing - API Testing Tips

Top 10 Best Tips for API Testing - API Testing Tips

In this article, we'll go over 10 Tips for approaching API Testing with microservices. Find out more! Top 10 Best Tips for API Testing - API Testing Tips

As Microservices and APIs become more prevalent in modern software development, testing and validating these APIs is increasingly important to ensure the quality of your software.

Testing APIs and microservices offer a host of benefits. First, they allow you to easily test end-to-end behavior, without having to invest in writing and maintaining UI based testing, by mimicking the API calls clients would generate. This allows for stable and easy-to-write tests and can help identify exactly where in your system problems originate. API tests can also be easily run as monitors, allowing you to easily identify outages and performance degradations before your users do! However, unlike more common classes of tests like end-to-end testing and unit testing, API testing is a newer field for many engineering teams. To that end, this article will help you get started with testing your APIs.

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1) Learn Why Organizations Are Prioritizing API Testing 

The importance of testing your APIs cannot be overstated and oftentimes, it yields value much more quickly than other forms of testing. This is due to a few factors that make API testing compelling:

  1. Mimicking User Flows — functional API tests can follow common user flows and perform the API calls those flows will yield. These tests can instantly validate full user flows in your system and make sure that they are functionally supported, very much like end-to-end UI tests.
  2. Test Stability — UI tests are commonly used to test full system flows, but the problem is that UIs change very frequently, often breaking UI based tests and making test maintenance a growing concern. On the contrary, APIs are built to be a stable interface, making tests based on APIs a lot more stable and lowering the cost of maintaining tests.
  3. Test Cost — API-based tests meet a happy medium of testing big parts of functionality while being relatively quick to build. Unit tests are simple to build, but you need to write a lot of them to get good coverage of system behavior. A few UI tests can quickly cover a large system, but building them is very time-consuming. 
  4. Pin-point problems — often when software problems arise, the hardest part is to know where they originate. With API tests, you can pretty quickly dissect the system and understand if problems lay behind the API (in the backend) or in the software UI.

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