List of the Top 3 Free Chaos Engineering Tools in 2025

Harness is the world’s first AI-native software delivery platform designed to revolutionize the way engineering teams build, test, deploy, and manage applications with greater speed, quality, and security. By fully automating continuous integration, continuous delivery, and GitOps pipelines, Harness eliminates bottlenecks and manual interventions, enabling organizations to achieve up to 50x faster deployments and significant reductions in downtime. The platform simplifies infrastructure as code management, database DevOps, and artifact registry handling while fostering collaboration and reducing errors through automation. Harness’s AI-powered capabilities include self-healing test automation, chaos engineering with over 225 built-in experiments, and AI-driven incident triage for faster resolution and increased reliability. Feature management tools allow teams to deploy software confidently with feature flags and experimentation at scale. Security is deeply embedded with continuous vulnerability scanning, runtime protection, and supply chain governance, ensuring compliance without slowing delivery. Harness also offers intelligent cloud cost management that can reduce spending by up to 70%. The internal developer portal accelerates onboarding, while cloud development environments provide secure, pre-configured workspaces. With extensive integrations, developer resources, and customer success stories from companies like Citi, Ulta Beauty, and Ancestry, Harness is trusted to drive engineering excellence. Overall, Harness unifies AI and DevOps into a seamless platform that empowers teams to innovate faster and deliver with confidence.

To maintain the highest level of reliability in your business's digital services, it is crucial to implement strong safeguards against potential software and infrastructure failures. By incorporating chaos culture into your DevOps practices with ChaosNative Litmus, you can significantly improve the reliability of your services. ChaosNative Litmus offers a comprehensive chaos engineering platform specifically designed for enterprises, boasting excellent support and the ability to execute chaos experiments in diverse environments, such as virtual, bare metal, and various cloud infrastructures. The platform integrates smoothly with your existing DevOps toolset, facilitating an effortless transition. Built on the principles of LitmusChaos, ChaosNative Litmus preserves all the advantages of the open-source variant. Users can take advantage of consistent chaos workflows, GitOps integration, Chaos Center APIs, and a chaos SDK, ensuring that functionality remains robust across all platforms. This versatility makes ChaosNative Litmus not just a powerful resource, but an essential component for improving service reliability in any organization. Moreover, embracing this approach can lead to a culture of continuous improvement, where teams are empowered to innovate and respond proactively to potential issues.

Uncover the vital tools needed to build reliable software confidently using Chaos Engineering techniques. Leverage Gremlin's comprehensive array of failure scenarios to run experiments across your entire infrastructure, which includes everything from bare metal and cloud environments to containerized systems, Kubernetes, applications, and serverless frameworks. You can adjust resources by throttling CPU, memory, I/O, and disk performance, reboot machines, end processes, and even simulate time manipulation. Moreover, you can introduce delays in network traffic, create blackholes, drop packets, and mimic DNS outages, ensuring that your code can withstand unexpected issues. It's also crucial to test serverless functions for possible failures and delays to guarantee resilience. In addition, you can confine the impact of these experiments to particular users, devices, or a specified traffic percentage, allowing for targeted evaluations of your system’s strength. This method provides a comprehensive insight into how your software behaves under various stressors, ultimately leading to more robust applications. By embracing this approach, teams can better prepare for real-world challenges and enhance their system reliability over time.