Software Delivery Agent
No items found.
On-demand Webinar
On-demand Webinar

AI's role in advancing chaos engineering for DevOps resilience | Harness Resource

In modern DevOps, resilience isn’t optional; it’s a competitive advantage. 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.

Why join this webinar?

  • 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

‍

Published
January 1, 2024

Guide on its way

Check your inbox — your playbook is ready.

You're all set

Check your inbox — your download is on the way.

Redirect link
No items found.
Redirect link

What you'll learn

Key Takeaways

Change Management is the Biggest Hurdle

Adopting chaos engineering requires strong change management practices. Success depends on project planning, leadership involvement, and continuous team education.

AI Automates Proactive Chaos Testing

Artificial intelligence can monitor real-time configuration changes to automatically generate and recommend chaos experiments. This reduces the barrier to entry for developers without specialized reliability skills.

Prepare for LLM and Agent Outages

As organizations adopt AI agents and large language models, they must proactively test failover scenarios. Chaos engineering helps ensure systems gracefully handle third-party AI service disruptions.

Integrate Testing Into Developer Workflows

New technologies like MCP servers allow AI agents to interact directly with code editors. This enables developers to run chaos experiments without leaving their existing development environments.

Test Continuously in Agile Environments

Teams should run chaos tests regularly during their standard agile sprints. Testing every few weeks helps quickly identify and resolve configuration drifts before they cause major outages.