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⚡ Perfana ADAPT (Automated Deviation Analysis for Performance Testing) helps performance engineers and testers to focus on solving the problems not finding them. To address the challenge of determining which metrics to compare and what static thresholds to use, we developed ADAPT. It uses machine learning for anomaly detection across all metrics captured during performance tests, including both load metrics from load testing tools and resource metrics for the system under test. By using results from multiple previous test runs as a baseline, ADAPT can filter out variability, enhance benchmark accuracy, and reduce the number of false positives. ✅ With ADAPT, teams: - spot differences with little effort - save time on analysis - get the difference between the test runs - configure SLO’s and thresholds for all metrics - by using all of the metrics, easily spot the root cause of a given user facing regression. 🕐 In the video: 00:00 Intro 00:37 What is ADAPT? 01:55 Let's demonstrate! 05:51 Demo of a Database issue Kickstart your Continuous Performance Engineering journey with Perfana! 👉 https://perfana.io/ #ContinuousPerformanceEngineering #PerformanceTesting #Perfana