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AI Test Automation
On-demand Webinar
On-demand Webinar

How AI improves chaos engineering for better software testing | Harness Resource

As production environments grow increasingly complex, traditional observability and testing approaches fall short in identifying latent failures. Chaos Engineering addresses this gap by injecting controlled faults to expose weaknesses before they impact users. Yet many teams struggle with experiment design, prioritization, and operational integration.

In this webinar, experts from Harness discuss how generative AI can augment chaos engineering workflows, enabling faster root cause identification, intelligent experiment selection, and more efficient feedback loops. And they explore how Harness is applying AI/ML techniques to drive decision automation, reduce toil, and align chaos practices with real-world reliability objectives.

What You'll 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

Whether you’re building a chaos program from scratch or optimizing an existing one, this webinar will offer actionable insights to elevate your reliability engineering efforts.

Published
January 1, 2024

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What you'll learn

Key Takeaways

Start Small to Overcome Analysis Paralysis

Teams often delay chaos engineering by overplanning or fearing unexpected outages. Running just a single basic test can immediately reveal system vulnerabilities and build momentum.

AI Automates Chaos Experiment Workflows

Artificial intelligence streamlines failure testing by writing, scheduling, and executing experiments. AI agents can act as assistants that proactively recommend tasks and summarize test results.

Tie Chaos Testing to Business Revenue

To secure leadership buy-in, frame chaos engineering as a strategic investment that prevents costly downtime. Teams should market their program internally by highlighting major outages caught in staging.

Perfect Observability Is Not Required

Companies lacking advanced monitoring can still benefit from chaos engineering in lower environments. Simple checks to determine if a system is up or down provide valuable resilience signals.

Measure Success Beyond Test Execution

A successful chaos program improves response metrics and overall resilience scores. It also positively impacts team dynamics by reducing the stress of on-call incident rotations.