What are the benefits of using AI in performance testing?
Hi Alex,
AI helps detect performance bottlenecks, predict system behavior under load, and analyze large datasets for actionable insights.
These are just few benefits. To dig deeper, check out the blog below on using AI in performance testing:
Using AI in performance testing offers several key benefits. First, it can help identify performance bottlenecks faster by analyzing large volumes of data from multiple sources, such as server logs, response times, and resource usage. AI can automatically pinpoint areas where the system is underperforming, saving testers time and improving the speed of the process.
AI also enhances test coverage by simulating different load scenarios, user behaviors, and stress conditions, ensuring that performance is tested across a wide range of real-world situations. It can adapt to changes in the application and automatically adjust the tests as needed, keeping the testing process up-to-date with the evolving system.
I mostly use AI to automate generating and maintaining Jmeter and Locust performance test scripts.
The benefits are turning the typical 1-2 weeks preparation to less than a day.
I also use embedded tailored agents for text to code, converting between tools, automate regex, automated error detection and fix i.e. self healing correlation and scripts.