The Future of Chaos Engineering: AI-Powered Insights for Reliable Systems

Overview

Generative AI (GenAI) has revolutionized industries by streamlining service adoption and enhancing operational efficiency. Within the DevOps landscape, AI-aware tools are empowering teams to achieve greater productivity and reliability, but the full potential of these advancements often remains untapped.

Chaos Engineering—focused on using controlled experiments to uncover system vulnerabilities—has become an indispensable part of modern DevOps and Site Reliability Engineering (SRE) practices. However, many organizations face challenges in aligning their chaos engineering efforts with reliability goals, resulting in inefficiencies and uncertainty in adoption pathways.

In this webinar, we will explore how organizations can fast-track their chaos engineering adoption by leveraging AI-driven insights. By addressing common pain points, providing clarity on experiment prioritization, and introducing innovative solutions from Harness, the session equips IT leaders with practical strategies to accelerate their reliability journey.

You Will Learn:

• Key challenges engineers face when adopting chaos engineering practices
• How to identify, prioritize, and execute critical chaos experiments for immediate system improvements
• The pivotal role of AI in simplifying chaos engineering and driving actionable insights
• Innovative features in the Harness Chaos Engineering product that transform chaos adoption for reliability-focused teams

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