Canonical Chaos Engineering Platform vs Steadybit
Canonical Chaos Engineering Platform
canonical-chaos-engineering.readthedocs-hosted.comSteadybit
steadybit.comSide by side
| Figure | Canonical Chaos Engineering Platform | Steadybit |
|---|---|---|
| Price from | — | — |
| Free plan | — | — |
| Free trial | — | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | — | Yes |
| Linux | Yes | Yes |
| API | — | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 0 | 2 |
| Spec score · Chaos Engineering Platforms | 7.6 (#12) | 7.6 (#13) |
| Deployment | The getting-started tutorial deploys the platform using Terraform and Juju on Kubernetes. | Steadybit is offered as SaaS and supports on-premises deployments, including air-gapped environments. |
| Experiments | The tutorial demonstrates a pod-deletion experiment with a resilience probe to check whether a workload recovers. | Teams can design and run experiments with a no-code editor, templates, and a real-time run view. |
| Founded | 2004 | 2019 |
| Integrations | The tutorial integrates Litmus infrastructure with the control plane and uses a self-signed-certificates charm as its example system under test. | Its open source integrations include Kubernetes, AWS, Azure, GCP, Datadog, Grafana, Prometheus, Kafka, and RabbitMQ. |
| Purpose | The platform deploys chaos engineering infrastructure and runs experiments to check whether a system under test recovers from faults. | Steadybit is a chaos engineering platform for proactive reliability assessment and testing. |
Plans
Canonical Chaos Engineering Platform
No plans published.
In their own words
Canonical Chaos Engineering Platform
Canonical Chaos Engineering Platform has no write-up on Specifiction yet; its figures are above.
Steadybit
Steadybit is a chaos engineering platform for teams assessing reliability through planned testing. A no-code editor and templates support experiment design, while a live run view shows progress. Reliability Advice flags risks against best practices and suggests experiments and mitigations. Discovery identifies targets and metadata so teams can visualize and group system components. Tests can inject faults and check health across network, resource, and application layers. The platform supports scheduled experiments and blast-radius controls, with open source integrations for Kubernetes, AWS, Azure, GCP, Datadog, Grafana, Prometheus, Kafka, and RabbitMQ. Teams can also create integrations and custom actions with Extension Kits, ActionKit, and AdviceKit. Steadybit is available as SaaS and supports on-premises deployments, including air-gapped environments. Teams, roles, and fine-grained permissions help govern testing. Pricing is available on request; there is no free plan, but a 30-day free trial is offered. Professional has standard support during 9–5; Enterprise lists on-prem installation, SAML, audit logs, enterprise support, and tailored onboarding.