Steadybit
Founded 2019 · 16 employees on LinkedIn · 4 known investors
Steadybit is a chaos engineering and reliability testing platform that helps product and engineering teams identify, validate, and fix reliability issues in their networks and applications before they reach production. It offers automatic target discovery, a drag-and-drop experiment editor, reliability advice, RBAC guardrails, an AI companion (SteadyBuddy), and open source extensions, with both SaaS and on-prem/air-gapped deployment options.
Also known as Steadybit GmbH
Founders & leadership
Steadybit was founded in 2019 by Benjamin Wilms.
Investors · 4
Also in the syndicate · 1
Funding
SEC filings, press & company announcements- Undisclosed amountSeries AMar 2024 · 2 sources
Paladin Capital Group (lead), Angular Ventures, Boldstart Ventures, NewForge
Source ↗
Source: company announcements and press reports — follow each round's link for the claim.
Company profile
researched Aug 2026Steadybit provides an enterprise platform for chaos engineering and reliability testing, allowing engineering teams to inject faults into networks, applications and infrastructure in order to surface and validate reliability weaknesses before they cause customer-facing outages. The platform uses an agent-based approach to continuously discover targets across a customer's systems, and presents them in an Explorer view where users can group and filter resources and see how they are distributed across availability zones and regions.
Core capabilities include a no-code, drag-and-drop experiment editor with pre-built templates; Reliability Advice, which checks discovered targets against 13 Kubernetes best practices (plus custom, internally defined checks) and gives code-level mitigation instructions and follow-up experiment suggestions; blast-radius controls and role-based access control with SAML/OIDC integration; and reporting that tracks discovered and fixed issues and risk-reduction metrics over time. Attack and action categories span network faults (blackhole subnet or availability zone, packet corruption, egress packet loss, DNS blocking), Kubernetes, cloud services, physical and virtual hosts, applications and observability tooling. An AI companion, SteadyBuddy, assists with designing experiments, discovering test scenarios and interpreting results in natural language, and the company describes an agentic approach to chaos engineering.
The product is extensible: the Reliability Hub offers 28 open source integrations for tools such as AWS, Datadog, Kong and Kubernetes, and open source kits let teams build custom actions, targets and integrations in their preferred language. Experiments can be automated through the Steadybit API or CLI, and the platform is offered both as SaaS and on-premises, including air-gapped deployments.
Founding story
Co-founder and CEO Benjamin Wilms, a consultant with over 20 years of experience who authored the open source tool Chaos Monkey for Spring Boot (based on the Netflix script), founded Steadybit after working with a range of chaos engineering tools, aiming to build a reliability platform that makes chaos engineering practical to roll out.
Business model
Steadybit sells a commercial reliability testing platform to engineering organizations, offered as SaaS or on-premises/air-gapped deployment, with a free trial and demo-led onboarding. Open source extension kits and integrations complement the paid platform, and the company works directly with customers on new extensions, training material and troubleshooting.
Commercial software platform sold to enterprises, available as SaaS or on-premises, with a free trial entry point.
Traction
Customers include Salesforce, ManoMano, REWE Digital and StackState, with the company citing users from startups to Fortune 500 enterprises running experiments in test and production environments, in CI/CD pipelines and GameDays, via SaaS and air-gapped on-premises deployments. Customer testimonials reference improved resilience, faster fix delivery and progress toward 99.99% uptime targets.
Latest developments
Recent releases include Advanced Reporting, Services for turnkey reliability testing and risk assessment, the Steadybit Labs community program, and SteadyBuddy, an AI companion for designing experiments and interpreting results; the company also published work on using Grafana and Datadog MCP servers together with Steadybit's MCP server for LLM-based reliability workflows.
▸Full profile — market position, technology, go-to-market, geography, history
Market position
Positioned as an enterprise chaos engineering and reliability testing platform competing with open source chaos tooling, emphasizing ease of rollout, scalability across teams and safety controls; its investor describes demand driven by growing complexity of distributed systems and the priority organizations place on service reliability.
Emphasis on lowering the learning curve for chaos engineering: automatic target discovery and templates to avoid the blank-page problem, Reliability Advice with code-level mitigation guidance, no-code experiment design, granular blast-radius and permission controls, open source extension kits with 28 integrations, air-gapped on-premises deployment, and an AI companion for experiment design and result interpretation.
Technology
Agent-based continuous discovery of targets, a query language for grouping and filtering targets, a no-code drag-and-drop experiment editor, fault-injection actions across network, Kubernetes, cloud services, hosts, applications and observability layers, Reliability Advice checks, blast-radius limits and RBAC, and an API/CLI for automating experiment workflows. Integrations include AWS, Datadog, Grafana, Splunk Observability Cloud, AppDynamics, PagerDuty, Kong, GKE Autopilot, Kafka and Windows hosts, plus MCP servers used in LLM-based reliability workflows and the SteadyBuddy AI companion.
Go-to-market
Product-led entry via free trial and self-service sign-up (including Google and GitHub), combined with booked demos and direct enterprise sales; supported by technical content marketing (blog guides on Kubernetes, Kafka, RabbitMQ, AWS scenarios), partner integrations with observability and incident-response vendors, and the Steadybit Labs community program. Advisors have contributed to the go-to-market messaging framework.
Reliability, SRE and platform engineering teams worldwide, ranging from startups to Fortune 500 enterprises, across industries including financial services, telecom, e-commerce and retail. Named users include Salesforce, ManoMano, REWE Digital and StackState.
Geography
Headquartered in Solingen, Germany, operating as a remote-first company with a global team and customers around the world.
History
The company has been building chaos engineering and reliability tooling since 2019. In March 2024 it announced a $6M Series A led by Paladin Capital Group with participation from existing investors Boldstart Ventures, Angular Ventures and NewForge, alongside the launch of its Reliability Advice feature. Subsequent product milestones include SOC 2 Type 2 certification (May 2025), reporting features, Windows host support, an official Google GKE Autopilot partnership, integrations with Splunk, AppDynamics, PagerDuty, Datadog and Grafana, and in 2026 the Services capability, advanced reporting, the Steadybit Labs community and the SteadyBuddy AI companion.
Compiled by commissioned research from 8 cited public sources — announcements, filings, and press listed under research sources below.
Key figures
latest reportedCompany-reported or press-reported figures, each dated to when it was claimed — not independently audited.
Timeline · 15
launches, deals, and filingsCommunity program for exploring upcoming reliability testing capabilities.
AI companion that helps design experiments, discover test scenarios and understand results using natural language.
Services allow users to view test coverage, run associated reliability tests and surface business-critical risks.
Blog post on combining Datadog observability with Steadybit's chaos engineering platform via MCP servers.
New extension adding chaos engineering support for Windows hosts.
Integration surfacing AppDynamics health rule violations during Steadybit fault injection experiments.
Reporting feature for tracking experiment rollout and the number of issues discovered and fixed over time.
Steadybit became an official partner for Google Autopilot, enabling container-level fault injection in fully managed Kubernetes environments.
Integration allowing validation of Splunk Detectors and SLOs under chaos conditions.
Blog post outlining combining Steadybit chaos engineering with PagerDuty incident response.
Steadybit announced a $6M Series A led by Paladin Capital Group with participation from existing investors Boldstart Ventures, Angular Ventures and NewForge, to be used for growing product development, engineering, sales and marketing teams and extending international commercial reach.
$6M source ↗
Steadybit introduced 'Reliability Advice', which monitors information collected about the observed system to discover reliability gaps, gives instructions for fixes and suggests experiments validating those interventions.
Dated company events from announcements, filings, and press; legal rows summarize public dockets and regulator releases.
In the news
▸Research sources · 8
primary sources listed
- Steadybitsteadybit.com · web
8 public sources were cited for this profile; the first-party ones are listed here.
Frequently asked questions
- What does Steadybit do?
- Steadybit is a German chaos engineering and reliability testing platform for finding and fixing system weaknesses before outages.
- Who founded Steadybit?
- Steadybit was founded by Benjamin Wilms in 2019.
- Who are Steadybit's investors?
- Steadybit's investors include Angular Ventures, boldstart ventures, Paladin Capital Group.