Details
In modern DevOps, resilience isn’t optional—it’s a differentiator. But even as chaos engineering promises stronger reliability, many teams struggle to operationalize it effectively. Enter AI: a force multiplier that’s redefining how we plan, execute, and evaluate failure testing.
Join us for a practical look at how AI is transforming chaos engineering from an experimental concept into a critical capability. Discover how teams are using AI to automate test design, improve observability, and accelerate incident insights—ultimately making resilience engineering repeatable, scalable, and aligned with business goals.
This session will also highlight how Harness is enabling engineering teams to simplify complexity, drive accountability, and embed reliability deeper into their DevOps pipelines.
Key Takeaways:
Breakthrough the chaos stall: Why most teams hit a wall—and how AI unlocks momentum
Smarter experiments: How to design outcome-driven chaos tests that reflect real-world impact
Built-in reliability: Ways to integrate Harness Chaos Engineering into your CI/CD workflows
From noise to clarity: Real-world cases of AI improving fault analysis and system understanding
Presenters:
Matt Schillerstrom
Director of Product
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