AI Driven Load Test Analysis From Routine Toward Action with Andrii Raikov
AI Summary
In this insightful session, Andrii Raikov, a principal engineer at Delivery Hero, discusses the integration of AI into load testing processes to enhance scalability and reliability in handling millions of daily orders. The talk highlights the challenges of manual load test analysis, which is often time-consuming and overlooks critical data, such as latency and resource usage. By automating analysis through AI, the team has improved the evaluation of complex datasets, providing actionable insights and benchmarks for performance enhancements. The AI-driven approach allows the team to scale from average loads to 4x peak demand efficiently while maintaining low latency. Key takeaways include the importance of structured inputs for AI to yield reliable outputs, and the ongoing efforts to perfect the use of AI in load testing workflows. Lastly, the session addresses the need for engineers to adapt and embrace evolving technologies in their work routines, fostering a culture of innovation and continuous improvement in engineering practices.