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Steadybit Secures $7.8M in Funding

Steadybit announced the general availability of its reliability and chaos engineering platform along with $7.8 million in seed funding led by boldstart ventures.

Steadybit is for SREs, DevOps, and developers to gain control and move beyond chaos engineering. Teams whose job is to securely and safely roll out Chaos Engineering in their organization to keep the systems up and running have the right orchestration platform with Steadybit.

Co-founded by Benjamin Wilms (CEO), Dennis Schulte (CTO), and Johannes Edmeier (head of engineering), the company has notable advisors include Nora Jones, Kelsey Hightower, Adam Frankl, Josh Kalderimis, Mirko Novakovic and Ameet Patel.

"Resilience is a team sport, and because resilience is a shared responsibility, we developed Steadybit as the chaos engineering platform that is equally beneficial to SREs, DevOps, and developers," said Wilms. "We are just getting started and look forward to working with our customers, investors, and advisors to transform the culture and technology around chaos engineering. Steadybit is the way to roll out Chaos Engineering across your organization to foster a Culture of Resilience."

Chaos Engineering is a method that revolves around injecting disruptions into software environments. By observing and understanding the emergent behavior of complex systems under those turbulent conditions, engineers can identify resilience gaps and fix them before they turn into production incidents.

“Our investment in Steadybit reflects our strong confidence in its business model and in Resilience Engineering which we see as an exciting technology devs and ops with unparalleled opportunities in the enterprise market,” said Eliot Durbin, general partner, boldstart ventures. “Steadybit’s unique approach to chaos engineering addresses real-world issues for anyone building and running software systems. We look forward to working with the team at Steadybit to help position it as the must-have, dev-first technology in the enterprise.”

The Steadybit platform is built to manage the unpredictable nature of multi-cloud environments, multi-region application architecture, and the numerous microservices running inside of containers and Kubernetes. The platform can define applications’ steady-states by integrating existing load tests and monitoring tools, inject failure modes like network latency, and check for resilience best practices by applying resilience policies. It can then patch them automatically using Steadybit's auto fix.

Key features include:

- An intuitive and extensible experiment editor that makes it easy to precisely model past incidents, hypotheses about your system, or architecture requirements without any prior programming experience.

- Robust blast radius controls on a team and environment level that enable safe Chaos Engineering roll-outs at any scale and at any level of expertise.

- A comprehensive API that allows deep integration of the product into existing workflows and rigorous automation to reduce the administrative effort of large-scale roll-outs.

“What the Steadybit team has done over the last few years is very impressive. The approach they are taking and their highly adaptable platform solves a rapidly escalating and evolving problem – and they continue to extend its capabilities in impactful ways,” said Gil Dibner, Partner at Angular Ventures. “Having worked with dozens of innovative tech startups, I can say that no one else is doing anything remotely this advanced, and we are happy to support the company in this journey.”

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Steadybit Secures $7.8M in Funding

Steadybit announced the general availability of its reliability and chaos engineering platform along with $7.8 million in seed funding led by boldstart ventures.

Steadybit is for SREs, DevOps, and developers to gain control and move beyond chaos engineering. Teams whose job is to securely and safely roll out Chaos Engineering in their organization to keep the systems up and running have the right orchestration platform with Steadybit.

Co-founded by Benjamin Wilms (CEO), Dennis Schulte (CTO), and Johannes Edmeier (head of engineering), the company has notable advisors include Nora Jones, Kelsey Hightower, Adam Frankl, Josh Kalderimis, Mirko Novakovic and Ameet Patel.

"Resilience is a team sport, and because resilience is a shared responsibility, we developed Steadybit as the chaos engineering platform that is equally beneficial to SREs, DevOps, and developers," said Wilms. "We are just getting started and look forward to working with our customers, investors, and advisors to transform the culture and technology around chaos engineering. Steadybit is the way to roll out Chaos Engineering across your organization to foster a Culture of Resilience."

Chaos Engineering is a method that revolves around injecting disruptions into software environments. By observing and understanding the emergent behavior of complex systems under those turbulent conditions, engineers can identify resilience gaps and fix them before they turn into production incidents.

“Our investment in Steadybit reflects our strong confidence in its business model and in Resilience Engineering which we see as an exciting technology devs and ops with unparalleled opportunities in the enterprise market,” said Eliot Durbin, general partner, boldstart ventures. “Steadybit’s unique approach to chaos engineering addresses real-world issues for anyone building and running software systems. We look forward to working with the team at Steadybit to help position it as the must-have, dev-first technology in the enterprise.”

The Steadybit platform is built to manage the unpredictable nature of multi-cloud environments, multi-region application architecture, and the numerous microservices running inside of containers and Kubernetes. The platform can define applications’ steady-states by integrating existing load tests and monitoring tools, inject failure modes like network latency, and check for resilience best practices by applying resilience policies. It can then patch them automatically using Steadybit's auto fix.

Key features include:

- An intuitive and extensible experiment editor that makes it easy to precisely model past incidents, hypotheses about your system, or architecture requirements without any prior programming experience.

- Robust blast radius controls on a team and environment level that enable safe Chaos Engineering roll-outs at any scale and at any level of expertise.

- A comprehensive API that allows deep integration of the product into existing workflows and rigorous automation to reduce the administrative effort of large-scale roll-outs.

“What the Steadybit team has done over the last few years is very impressive. The approach they are taking and their highly adaptable platform solves a rapidly escalating and evolving problem – and they continue to extend its capabilities in impactful ways,” said Gil Dibner, Partner at Angular Ventures. “Having worked with dozens of innovative tech startups, I can say that no one else is doing anything remotely this advanced, and we are happy to support the company in this journey.”

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In the world of digital-first business, there is no tolerance for service outages. Businesses know that outages are the quickest way to lose money and customers. For smaller organizations, unplanned downtime could even force the business to close ... A new study from PagerDuty, The State of AI-First Operations, reveals that companies actively incorporating AI into operations now view operational resilience as a growth driver rather than a cost center. But how are they achieving it? ...

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...