List of the Top 3 Free Chaos Engineering Tools in 2025

Each module can function on its own or in combination to form a robust integrated pipeline that encompasses Continuous Integration (CI), Continuous Deployment (CD), and Feature Flags. All Harness modules leverage the capabilities of AI and machine learning to enhance their performance. Our algorithms are designed to verify deployments, pinpoint opportunities for test optimization, suggest recommendations for cloud cost savings, and restore the system to its previous state in the event of a rollback. They also play a crucial role in facilitating complex deployment patterns, identifying anomalies in cloud costs, and initiating a variety of other tasks. Staring at dashboards and logs post-deployment can be tedious; let us handle the monotonous tasks for you. Harness systematically evaluates the logs, metrics, traces, and other relevant data from your observability systems to assess the health and status of each deployment. If a problematic deployment is identified, Harness is capable of automatically reverting to the most recent stable version, ensuring a seamless experience for users. This automation not only saves time but also minimizes the risk of human error during critical deployment processes.

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.