List of the Top 2 On-Prem Chaos Engineering Tools in 2025

Our experiment editor simplifies the journey to achieving reliability, making the process faster and more intuitive, with all essential tools easily accessible and allowing total control over your experiments. Every feature is crafted to help you attain your goals while implementing chaos engineering securely at scale within your organization. You can seamlessly add new targets, attacks, and checks through the extensions offered by Steadybit. The user-friendly discovery and selection mechanism enhances the experience of choosing targets. By reducing barriers, you can foster better teamwork across departments, while also allowing for easy export and import of experiments in JSON or YAML formats. The comprehensive view provided by Steadybit’s landscape illustrates the dependencies of your software and the interconnections among various components, giving you a solid foundation for launching your chaos engineering initiatives. Furthermore, the powerful query language enables you to classify your systems into diverse environments based on consistent data applicable throughout your infrastructure, while also allowing specific environments to be assigned to selected users and teams to minimize the risk of accidental disruption. This meticulous strategy guarantees that your chaos engineering practice remains not only effective but also secure and methodically organized, ultimately leading to improved resilience in your systems. Additionally, with these capabilities, your organization can adapt more swiftly to changes and challenges in the digital landscape.

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.