Mr. Vasudevan Senathi Ramdoss

The Evolution of Performance Engineering: From Manual Efforts to AI-Driven Automation

Abstract:

 

As modern systems grow in complexity, traditional performance engineering approaches struggle to keep up with increasing demands for speed, scalability, and resilience. This talk explores the transformation of performance engineering from manual, labor-intensive methods to intelligent, AI-powered automation.

We’ll begin by reviewing conventional performance engineering practices—highlighting their strengths, limitations, and the growing need for faster, more adaptive techniques. The discussion will then focus on how Artificial Intelligence and Machine Learning are being leveraged to automate performance testing, anomaly detection, root cause analysis, and capacity planning. Real-world examples and emerging tools will illustrate how AI not only accelerates performance diagnostics but also enables predictive insights and continuous optimization.

Attendees will gain an understanding of:

The current state and challenges in performance engineering Key AI techniques used in performance analysis (e.g., anomaly detection, time-series forecasting, reinforcement learning)

Practical applications and case studies of AI in performance testing and tuning How to start integrating AI into existing performance engineering workflows

This talk is ideal for performance engineers, DevOps professionals, QA engineers, and system architects looking to future-proof their performance strategy with intelligent automation.