Modern cloud systems are becoming increasingly complex, making traditional failure testing methods inefficient and reactive. AI-driven Chaos Engineering introduces automation, intelligence, and adaptability to fault injection, enabling predictive failure detection and self-healing capabilities. By leveraging machine learning, SREs can identify failure patterns, optimize chaos experiments dynamically, and accelerate incident response. This talk explores how AI enhances Chaos Engineering, reducing downtime, improving resilience, and enabling proactive reliability strategies. Attendees will gain insights into real-world implementations of AI-powered failure testing and how to integrate it into their SRE practices.
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