Canonical Chaos Engineering Platform vs Chaos Toolkit
Canonical Chaos Engineering Platform
canonical-chaos-engineering.readthedocs-hosted.com
Chaos Toolkit
chaostoolkit.orgSide by side
| Figure | Canonical Chaos Engineering Platform | Chaos Toolkit |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | — | — |
| Open source | — | Yes |
| Web | Yes | Yes |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | Yes | Yes |
| API | — | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 0 | 1 |
| Spec score · Chaos Engineering Platforms | 7.6 (#12) | 8.8 (#3) |
| Experiments | The tutorial demonstrates a pod-deletion experiment with a resilience probe to check whether a workload recovers. | An experiment declares a steady-state hypothesis and probes to validate it, plus a method made up of actions and probes. |
| Integrations | The tutorial integrates Litmus infrastructure with the control plane and uses a self-signed-certificates charm as its example system under test. | The extension directory lists integrations including AWS, Azure, Google Cloud Platform, Kubernetes, Kafka, Slack, Datadog, Grafana, OpenTelemetry and Prometheus. |
| Purpose | The platform deploys chaos engineering infrastructure and runs experiments to check whether a system under test recovers from faults. | Chaos Toolkit is a chaos engineering toolkit for developers to explore and test systems to discover weaknesses. |
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.
Chaos Toolkit
Chaos Toolkit is a free, open-source chaos engineering toolkit for developers exploring systems to uncover weaknesses. Experiments define a steady-state hypothesis and probes to check it, along with a method of actions and probes. If the system does not meet the stated steady state, the method is not applied and the experiment must stop. Experiments can be declared in JSON or YAML files, making them suitable for collaboration and orchestration alongside code. The toolkit extends to systems through its Open API and can be embedded in a CI/CD chain. Listed integrations include AWS, Azure, Google Cloud Platform, Kubernetes, Kafka, Slack, Datadog, Grafana, OpenTelemetry, and Prometheus. The standalone CLI is available under Apache License 2.0. It is implemented in Python 3, officially supports Python 3.8 and later, and has only been tested against CPython. Installation instructions cover macOS, Debian or Ubuntu, and Windows; users can install extensions after the CLI and core library. Reliably is a separate platform with SaaS, private SaaS, and on-premises options.