Performance testing is critical for delivering reliable, scalable applications. We have been working on AI-driven innovations in Azure Load Testing that will change how you author and analyze load tests.
AI-Assisted Authoring of JMeter Scripts
Writing high-quality load test scripts has traditionally required deep expertise. From setting correlations and think times to properly parameterizing inputs, it requires significant time and effort. This manual effort slows teams down, especially when they must recreate real-world scenarios under tight deadlines.
With our new AI-assisted authoring, that changes.
Now you can simply record your application journey, and Azure Load Testing will do the heavy lifting:
- Record your scenarios using the browser extension
- AI automatically suggests correlations to handle dynamic values
- Intelligent parameterization for more realistic test data
- Smart request labelling to help you organize flows cleanly
- Recommended think times to match actual user behavior
Once refined, a production-ready JMeter script is generated automatically. You can run this script immediately on Azure Load Testing with the scale and reliability you expect.
You can create complex, realistic performance tests created in a fraction of the time, even if you’re not a JMeter expert.
GIF showing the walkthrough of AI-assisted authoring.
AI-Powered Actionable Insights
Performance tests don’t stop at execution. Real value comes from understanding what happened and knowing what to do next.
We have supercharged our insights experience with AI.
- Insights for Failed Test Runs: When a test fails, the first question is always: why?
Now, Azure Load Testing uses AI to automatically analyze test run logs, detect the root cause, and provide clear guidance on what went wrong and how to fix it. - Baseline Comparison Insights: Compare any test run against your defined baseline to immediately see what degraded, what improved, and which requests diverged from expected performance. It also helps understand the root cause for performance degradation.
- Focused Recommendations for Failed Test Criteria: If any of your pass/fail criteria fail, AI surfaces targeted recommendations so you can take corrective action quickly.
You get meaningful insights, even when things don’t go as planned. No more staring at graphs trying to figure out what to do next.
GIF showing the walkthrough of AI-powered insights
The Future of Load Testing Is Intelligent
With AI assisting script creation and analyzing test outcomes end-to-end, Azure Load Testing now helps teams:
- Run real world performance tests faster
- Troubleshoot with confidence
- Reduce manual debugging
The authoring capability will be available in the next couple of weeks. Meanwhile, you can try out AI-powered insights for your load test run to quickly analyze your results.
Please share your feedback here.
Happy Load Testing!
Microsoft