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We’re excited to announce the preview of AI powered Actionable Insights in Azure Load Testing—a new capability that helps teams quickly identify performance issues and understand test results through AI-driven analysis. 

Performance testing is an essential part of ensuring application reliability and responsiveness, but interpreting the results can often be challenging. It typically involves manually correlating client-side load test telemetry with backend service metrics, which can be both time-consuming and error-prone. Actionable Insights simplifies this process by automatically analyzing test data, surfacing key issues, and offering clear, actionable recommendations—so teams can focus on fixing what matters, not sifting through raw data. 

AI-powered diagnostics 

Actionable Insights uses AI to detect performance issues such as latency spikes, failed requests, throughput anomalies, and resource bottlenecks. It presents insights clearly, highlighting patterns and root causes so teams can quickly understand what went wrong and how to fix it. 

Insights leverage telemetry from both client-side metrics and server-side metrics which is collected via Azure Monitor. When server-side monitoring is enabled, Azure Load Testing correlates frontend traffic patterns with backend system behavior. For example, if an increase in virtual users coincides with latency spikes in Azure Cosmos DB, the insight will highlight this relationship and suggest corrective actions—giving teams a comprehensive view of system behavior under load. You can learn how to enable server-side metrics here.

Rich, integrated experience for faster issue resolution 

Actionable Insights provides a unified, intuitive experience within your test results, clearly illustrating the context of detected performance issues. By consolidating metrics, conditions, and recommendations into a single view, your team can diagnose and resolve issues faster, without switching tools or piecing data together manually. 

Get Started 

Actionable Insights is now available in preview. To try it out, trigger a new test run in Azure Load Testing. For best results, enable server-side metrics when configuring your test. Once the run completes, AI-powered insights will be available in the test results view—no additional setup required. 

This is just the beginning. We are actively working on improving the quality of these insights and adding more capabilities to it. 

Your feedback is essential. Let us know what’s working well and where we can improve by using the thumbs-up or thumbs-down option on each generated insight in the Azure Load Testing portal. You can also share your feedback on our community. 

Learn more about Actionable Insights