Canonical Chaos Engineering Platform
5.5#19 in chaos engineering platformsWebLinuxSelf-hosted
VisitCanonical Chaos Engineering Platform vs Chaos Toolkit
Chaos Toolkit
7.4#1 in chaos engineering platformsFree planFree planWebAPILinuxmacOS
VisitWhat both publish
| Fact | Canonical Chaos Engineering Platform | Chaos Toolkit |
|---|---|---|
| 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. |
Canonical Chaos Engineering Platform plans
No prices published.
Chaos Toolkit plans
- Chaos ToolkitFree
Pick Canonical Chaos Engineering Platform if…
This platform may suit teams running Kubernetes workloads who want to test recovery from injected faults. It is intended for users comfortable with a self-hosted deployment using Terraform, Juju, and Kubernetes.
Pick Chaos Toolkit if…
Chaos Toolkit suits developers who want to define and run system experiments in code or CI/CD workflows. Its Python CLI and installable extensions are relevant for teams working with supported systems and integrations.