Continuous automated performance testing is nothing new. However, most of us are still comparing our test results manually. This manual activity can be a massive roadblock when we are trying to keep pace in our ever more demanding and faster-moving online world.

So how do we automate this complex and important task accurately and reliably so we performance engineers can focus on more important tasks like risk assessments or enjoying coffee?

In this talk, I take you on a journey through how you can start automating your performance test results analysis based on raw data and some statistical magic, and what you need to look out for when introducing automated result analysis.

Some words on my technical demonstration: I will be using raw data from one of my production systems to see if my solution will make the correct decisions when the performance of my IT system stays the same, slows down, or speeds up.