One topic that is rarely mentioned but extremely important in the world of APIs is the use of cache. To dive into the subject, let’s first understand what cache is. A cache is a mechanism by which an application temporarily stores API responses or data to reuse them in subsequent requests, thereby avoiding repeated calls to the server and improving performance, latency, and resource consumption.

Choosing the right framework for your needs is not an easy task, especially when you are not professionally working in performance engineering. This post will compare free, open-source L&P testing frameworks such as K6, Gatling, and our in-house multi-talent Performator, built to incorporate all the features that we missed in the other tools.

Discover how load testing ChatGPT with Gatling and Java improves performance and prepares AI systems for real word use