Canonical Chaos Engineering Platform
5.5#19 in chaos engineering platformsWebLinuxSelf-hosted
VisitCanonical Chaos Engineering Platform vs Reliably
What both publish
| Fact | Canonical Chaos Engineering Platform | Reliably |
|---|---|---|
| Integrations | The tutorial integrates Litmus infrastructure with the control plane and uses a self-signed-certificates charm as its example system under test. | Documented integrations include Slack, Honeycomb, Dynatrace, Google Cloud, Grafana, OpenAI ChatGPT, pre-checks, safeguards, and auto-pause. |
| Open source | Canonical describes the platform as an open source project that welcomes community contributions and feedback. | Reliably describes itself as open source and says its approach avoids lock-in. |
| Purpose | The platform deploys chaos engineering infrastructure and runs experiments to check whether a system under test recovers from faults. | Reliably helps teams build resilience engineering capability and deliver more reliable products by exploring operational risks and incidents. |
Canonical Chaos Engineering Platform plans
No prices published.
Reliably plans
- FreeFree
- Start£40 a month
- Scale£330 a month
- EnterprisePriced on request
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 Reliably if…
Reliably suits teams that want to explore operational risks through scheduled chaos engineering experiments. Its free plan may fit an individual evaluating the workflow, while teams needing more members, cloud minutes, or data retention have limits to consider.