In this 26-minute conference talk from Conf42 Chaos Engineering 2025, Srimaan Yarram explores how to enhance resilience testing with AI-driven predictive analytics. Discover the fundamentals of chaos engineering before examining the limitations of traditional testing approaches. Learn how artificial intelligence can revolutionize chaos testing by predicting potential failure points and automating test scenarios. Follow along with real-world applications, see how AI integrates with observability tools, and explore a practical implementation example. The presentation concludes with a comprehensive overview of the benefits gained from implementing AI-driven chaos engineering methodologies and important takeaways for improving system resilience.
Automating Testing with Predictive Insights - AI-Driven Chaos Engineering
Overview
Syllabus
00:00 Introduction and Welcome
00:54 Understanding Chaos Engineering
03:23 Challenges in Traditional Chaos Testing
04:52 AI-Driven Chaos Engineering
08:23 Real-World Application of AI in Chaos Testing
17:49 Integrating AI with Observability Tools
19:00 Practical Implementation Example
23:26 Benefits of AI-Driven Chaos Engineering
25:47 Conclusion and Final Thoughts
Taught by
Conf42
