Reliably helps teams explore operational risks and incidents as they build resilience engineering capability. Its open-source chaos engineering platform is based on Chaos Toolkit. The experiment builder provides more than 300 actions, including attacks and probes, and is designed to simplify experiment creation without requiring a new language. Teams can import JSON Chaos Toolkit experiments, reuse templates, schedule executions, and review scores, freshness indicators, timelines, and dashboards. Runs can use GitHub Actions, Reliably-managed execution, the CLI, Docker, or Kubernetes jobs and cron jobs. Supported targets include AWS, Azure, Google Cloud, Kubernetes, Prometheus, and Spring. Pre-checks can prevent an experiment from starting, while configured safeguards can interrupt one during execution. The Free plan permits one team member, 180 cloud execution minutes per month, a 10-minute cloud execution cap, and two weeks of data retention. Start costs 40.00 GBP per month, billed monthly. Reliably lists Linux, macOS, Windows, web, and self-hosted platforms.
Who it is for
Reliably suits teams that want to schedule and review chaos engineering experiments across listed cloud, Kubernetes, and monitoring targets. Its Free plan may fit a single team member exploring the platform, while paid plans allow more capacity.
What is good
- Experiment builder includes more than 300 actions
- Supports importing JSON Chaos Toolkit experiments
- Pre-checks and safeguards can limit experiment runs
- Execution options include CLI, Docker, and Kubernetes
What to know first
- Free plan allows one team member
- Free cloud execution is capped at 180 minutes monthly
- Free cloud runs have a 10-minute limit
- Free data retention is two weeks
Verdict
Reliably offers experiment creation, execution, and safety controls for resilience work. The Free plan has tight team, execution, and retention limits; paid plans start at 40.00 GBP per month.
Reliably plans and pricing
All plansCompared on chaos engineering platforms
- Free plan
- Yes
- Kubernetes support
- Yes
- Cloud fault injection
- Yes
- Network fault injection
- Yes
- Experiment scheduling
- Yes
- Deployment model
- hybrid
- Blast-radius controls
- Yes
