Modern software solutions leverage a lot of APIs – hundreds, if not thousands – both internally and externally. The growth of the API economy is driven by development teams who strive to address the need for increased productivity and velocity in software development by packaging complex functionalities into reusable API-based components.

Other factors driving the API economy include the internal use of cloud-native code, serverless functions, microservices, and other integrations. This presents a perplexing challenge for software delivery teams: On one hand, the decoupling architecture of APIs provides tremendous flexibility to engineering teams, and on the other, it introduces significant complexity to the testing process in the form of multiple dependencies, additional points of failure, and varying update timelines.

To mitigate quality risks, it’s critical to develop an API testing strategy to account for the additional complexity they introduce. But due to the sheer volume of APIs in many applications, testing can be time-consuming and complex, and development teams often relegate testing to the end of a sprint – or simply don’t do it all. Quality intelligence tools can provide a way to develop a more efficient API testing strategy that focuses your testing on which APIs are affected by new code. This guide will highlight how the right quality intelligence tool, like Tricentis SeaLights, can help teams test and release with confidence.