What really made Steadybit stand out during our proof of value was its open and extensible model. The fact that extensions are open source, that we can contribute back, and that we can build our own custom extensions was a decisive factor for us. Other vendors were largely on par in terms of features, pricing, and overall experience, but Steadybit’s openness aligned much better with how we work as an engineering organization.
From a UI standpoint, Steadybit also felt the most mature compared to other vendors we evaluated. The interface is well thought out, clear, and focused on enabling engineers to get things done quickly, without unnecessary friction or visual noise.
From the very first meetings, the Steadybit team was also very much down to business. We were clear that this was a technical evaluation and that we were not interested in polished sales decks or flashy presentations. We wanted to see what the product could actually do and get straight to the point, and they delivered. The focus was consistently on real capabilities, hands-on evaluation, and practical use cases.
From a day-to-day perspective, the platform is easy to use and integrates very naturally with Kubernetes. Creating and running experiments is straightforward, and the safety mechanisms make it suitable even for teams that are still building confidence in chaos engineering.
Customer support is another major strength. The Steadybit team is highly responsive, technically strong, and genuinely invested in our success. Questions, edge cases, and feedback are handled quickly, usually through direct conversations rather than slow back-and-forths.
Steadybit is a company specializing in the field of chaos engineering and resilience testing for IT systems. Their platform empowers organizations to proactively identify, test, and improve the resilience of their distributed systems by simulating various failure scenarios. By doing so, Steadybit helps businesses ensure that their systems can withstand unexpected issues, reduce downtime, and enhance overall reliability. The platform is designed to integrate seamlessly with modern DevOps workflows, enabling teams to conduct experiments without disrupting production environments.
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