We are going to look at how performance testing can work hand in hand with Artificial Intelligence and Machine Learning: As there are many Artificial Intelligence solutions to choose from and for the purposes of this post this is the easiest way to discuss the principles of Artificial Intelligence working with performance testing rather than discussing a particular framework.

The first month of 2023 has already ended and we are excited to share the new updates and features that we implemented in Loadero over the past month and some of the fixes we made during that time. If you are using Loadero to test WebRTC solutions, make sure to read the section about updates for WebRTC metrics gathering, it also has information about important upcoming changes.

The last thing a business wants is to be known as an unreliable and poorly performing service, especially if there are similar solutions a few clicks away. So being aware of the performance of a WebRTC application or any other software solution is a must to avoid issues in the future. A solution can be developed by experienced people and tested before it is released, but even so it doesn’t mean performance degradations will never appear.

As holiday season winds down, we can reflect on the reverse load test that we did to make sure our customers could prepare for their own holiday traffic. What’s a reverse load test? OK, it's a term we just made up. But it started like any load test, with two systems: the load generator and the system under test (SUT). The focus of our test, however, was inverted. In normal load tests, testers really care only about how the SUT performs—that’s the point of the test.