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chaosd vs Reliably

chaosd

github.com

Reliably

reliably.com

Side by side

FigurechaosdReliably
Price fromFree£40/mo
Free planYesYes
Free trial——
Open source——
Web—Yes
Windows—Yes
macOS—Yes
LinuxYesYes
APIYes—
Self-hostedYesYes
Plans published14
Spec score · Chaos Engineering Platforms7.9 (#11)8.1 (#9)
PurposeChaosd is a Chaos Engineering tool for injecting and recovering faults in physical machine environments.Reliably helps teams build resilience engineering capability and deliver more reliable products by exploring operational risks and incidents.

Plans

chaosd

  • ChaosdFree

chaosd pricing →

Reliably

  • FreeFree
  • Start£40 a month
  • Scale£330 a month
  • EnterprisePriced on request

Reliably pricing →

In their own words

chaosd

Chaosd is free Apache-2.0 software for injecting and recovering faults on physical machines. It can create process, network, CPU or memory pressure, disk, and host faults. Use it as a command-line tool or run it as a background service controlled through HTTP requests. Chaosd is deployed separately from Chaos Mesh; PhysicalMachineChaos experiments require service mode on each targeted physical or virtual machine. The documented environment requires glibc 2.17 or later, and the binary download described is a Linux amd64 tarball. Network experiments using tc or iptables require sudo or root privileges. Deployment prerequisites include tc, ipset, and iptables; source builds additionally list stress-ng and byteman. Experiments can be searched and recovered by UID. TLS certificates are shown for service security, and running without generated certificates is not recommended.

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Reliably

Reliably helps teams examine operational risks and incidents as part of resilience engineering. Built around an open-source chaos engineering platform based on Chaos Toolkit, it offers an experiment builder with more than 300 actions, including attacks and probes. Teams can import JSON Chaos Toolkit experiments, reuse templates, schedule runs, and review scores, freshness indicators, timelines, and dashboards. Experiments can run as GitHub Actions, through Reliably-managed execution, with the CLI, in Docker, or as Kubernetes jobs or cron jobs. Listed targets include AWS, Azure, Google Cloud, Kubernetes, Prometheus, and Spring. Pre-checks can prevent a run from starting; configured safeguards can interrupt one during execution. Environments store variables and encrypted secrets for the app, CLI, or GitHub workflows. The Free plan is free and limits teams to one member, 180 cloud execution minutes per month, a 10-minute cloud execution cap, and two weeks of data retention. Start costs £40 a month, billed monthly.

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