From HAR Files to Insights: AI-Powered Performance Analysis
Performance snapshots are highly effective tools for analyzing page performance. While generating a HAR file is straightforward, leveraging it effectively for comprehensive performance analysis can be challenging. In this session, Paul will demonstrate a streamlined workflow that transforms raw HAR files into actionable performance insights. Attendees will learn how to generate and preprocess HAR files to extract only the essential data, then leverage AI to validate endpoints for load testing, conduct thorough performance analysis, and generate detailed reports that identify bottlenecks and recommend optimization strategies. Key takeaways include: the tester's critical role in controlling data capture and maintaining security, how AI accelerates preprocessing and performance analysis workflows, techniques for reducing waste by reusing a single HAR file throughout the testing lifecycle, and best practices for sanitizing sensitive fields before analysis. This practical, hands-on approach bridges the gap between performance testing and AI-assisted performance analysis, empowering testers to work more efficiently while maintaining security and control.
Paul Burnside is a seasoned QA Engineer with 25 years of experience, including two decades in performance testing. As a Senior Engineer on FamilySearch's Performance and Scalability team, he brings diverse industry knowledge from consulting, telecommunications, cable, travel, banking, and education. This background gives him a unique perspective on performance testing across various technological environments. A respected speaker at national conferences, Paul shares insights from his extensive experience. In his current role, he develops cutting-edge performance testing methodologies. Paul is eager to share these innovative techniques, offering valuable insights to revolutionize how organizations approach performance and scalability testing.