What it does
Steadybit is a reliability-testing platform built around chaos engineering. Agents and extensions discover systems such as hosts, containers, and Kubernetes resources; teams then select targets, use templates or create experiments, and observe the effects while an experiment runs. Experiments can inject conditions such as network latency, traffic issues, resource stress, or application-level faults. Reliability Advice also highlights configuration risks and suggests tests to validate a fix. The platform is designed for service and platform teams that need to test resilience and alert coverage deliberately.
Start with a narrow experiment
Steadybit's documentation describes a central SaaS control plane connected to agents deployed in the system under test. Install the extensions needed to discover the relevant targets, then use the Explorer to filter and group them by discovered properties. A first reliability test can come from a pre-built template or from the experiment editor, which supports actions such as injecting network latency, stressing CPU or memory, changing instance state, and testing database failover.
Before starting, select a deliberately small blast radius. The experiment page recommends beginning with a limited target set, then widening the test as the team gains confidence. While the run is active, the interface shows its steps and system behavior; integrations can also help verify that an observability alert fires when expected. Reliability Advice offers a separate starting point by flagging common configuration risks and recommending experiments to test them.
Steadybit's pricing page offers Professional and Enterprise plans by contact or quote and a 30-day free trial. Enterprise adds capabilities such as on-premises installation, reporting, audit logs, and SAML; no public recurring price was established on the page reviewed. Experiments intentionally affect system conditions, so set clear targets and safety checks before using them on production workloads.
Strengths
- Pre-built templates and a no-code experiment editor support both guided and custom reliability tests.
- The target explorer uses discovered metadata to narrow experiments to selected services or infrastructure.
- Runs can be observed in real time, and integrations can help verify expected monitoring alerts.
- Reliability Advice links detected configuration issues with suggested experiments for validating a fix.
Watch out for
- The documented workflow requires agents and relevant extensions to discover and test systems.
- Experiments can alter network, resource, or application conditions; teams need to set and review the blast radius before execution.
- The reviewed pricing page requires contacting the vendor for plan pricing.
Best for
- SRE and platform teams validating resilience before a production incident
- Teams checking whether monitoring alerts respond to controlled failure conditions
- Kubernetes operators who want configuration advice paired with test templates
Sources
- Steadybit | Chaos Engineering Tool for Reliability Testing (Oct 25, 2026)
- Steadybit Experiments: Run Application Reliability Tests at Scale (Oct 25, 2026)
- Reliability Advice: Detect Issues Automatically (Oct 25, 2026)
- Welcome to Steadybit | Steadybit Documentation (Oct 25, 2026)
- Steadybit Pricing: Flexible Plans for Every Team Size (Oct 25, 2026)