Software Delivery Agent
Resilience Testing
On-demand Webinar
On-demand Webinar

Enhance chaos engineering adoption with AI insights | Harness Resource | Harness

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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Published
January 1, 2024

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Resilience Testing

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What you'll learn

Key Takeaways

Drastically Reduce Disaster Recovery Testing Time

Automating failover scenarios can shrink disaster recovery testing from five weeks of planning to under thirty minutes. This allows organizations to easily meet strict regulatory requirements.

Leverage AI for Chaos Experiment Recommendations

Artificial intelligence analyzes system events, incidents, and performance metrics to recommend the most relevant chaos experiments. It also suggests specific fixes for any identified resilience issues.

Automate Actionable Jira Ticket Creation

The AI agent can automatically generate detailed Jira tickets containing specific remediation steps. This streamlines the backlog refinement process and ensures vulnerabilities are quickly prioritized and fixed.

Integrate Chaos Testing into Deployment Pipelines

Chaos experiments can be embedded directly into deployment pipelines using pre-built templates. This ensures code resilience is automatically validated before it reaches production environments.

Visualize Dependencies and Resilience Scores

Onboarding infrastructure automatically generates an application map detailing service dependencies. This map includes resilience scores to highlight untested downstream areas that require attention.