Harness Adds 8 New Features to Redefine Resiliency with AI-Powered Chaos Engineering

Modern systems are complex, distributed, and constantly evolving—creating new risks with every change. Downtime, scaling issues, and unexpected failures aren’t just technical problems; they’re business challenges that impact revenue, customer trust, and compliance. Chaos engineering offers a proactive way to tackle these challenges by simulating failures to improve resilience.

But what if chaos engineering could do more? What if it didn’t just simulate failures but provided actionable insights, AI-driven recommendations, and seamless integrations to help you build truly resilient systems and teams?

With Harness Chaos Engineering, that future is now. Combining AI-powered automation with deep ecosystem integration, Harness is redefining how teams approach resilience testing. By simplifying workflows, connecting the dots between changes and failures, and empowering teams to act, we’re transforming uncertainty into predictable reliability.

Why Choose Harness Chaos Engineering?

Unlike traditional chaos engineering tools that focus on isolated tests, Harness Chaos Engineering integrates directly into your DevOps pipelines and operational workflows, empowering teams with a unified platform to:

• Proactively identify and fix system weaknesses.
• Automate resilience testing with AI-driven recommendations.
• Scale chaos experiments across cloud-native and legacy environments.
• Minimize downtime, reduce costs, and improve Mean Time to Recovery (MTTR).

Your Partner in Resilience

AI is the cornerstone of modern DevOps platforms. Harness chaos engineering is no different and enables teams to move beyond manual testing and into intelligent, proactive experimentation. Here’s how Harness integrates AI to transform resilience:

• Tailored Recommendations: AI analyzes your architecture and operational data to suggest the most impactful chaos experiments.
• Automated Experimentation: From setup to execution, AI reduces complexity and accelerates testing cycles.
• Actionable Insights: AI provides clear, data-driven next steps to address weaknesses and improve system reliability.

Chaos Recommendations Using AI

Leverages AI to analyze systems and suggest optimal experiments, reducing the guesswork and increasing the efficiency of chaos testing.

AI for Chaos Experimentation

Automates the design, execution, and learning cycles of chaos experiments, scaling resilience practices with minimal effort.

Key New Features: Building Resilience Smarter

Now GA: Tested and Trusted Features

Service Discovery & Auto-Creation of Chaos Experiments
Automates the discovery of services and generates tailored chaos experiments, ensuring comprehensive resilience coverage without manual setup.

Chaos Templates in CI/CD Pipelines
Enables teams to integrate chaos experiments directly into their delivery workflows, making resilience testing a seamless part of every release.

ChaosGuard for All Platforms
Adds safeguards to ensure chaos experiments are controlled and never disrupt critical production environments.

In Beta: Next-Gen Resilience Tools

Experiment-Level Probes and Actions
Allows granular control of chaos experiments, enabling precise targeting and detailed analysis of results. Program actions to take based on results of test.

Native AWS ECS Agent
Brings chaos engineering natively to AWS ECS environments, empowering cloud-native teams to validate resilience under real-world conditions.

Fault Flags for Application Chaos
Introduces application-level control for chaos experiments, enabling smarter, more dynamic fault injections.

Start Building Resilience Today

While change and chaos are inevitable, resilience can ensure systems recover efficiently. With Harness Chaos Engineering, you can turn unpredictability into strength, building systems that adapt, recover, and thrive under pressure. Sign up for a demo today or join our free plan to get started.

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