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Gremlin vs khaos-monkey

Both stand on chaos engineering platforms. Which one you can start free with, which one lets you read the code, and what each costs once you pay.

Gremlin

Free trial APILinuxSelf-hosted+2

Gremlin combines controlled fault injection with experiment planning and reliability analysis. The 30-day trial has clear terms, while ongoing platform pricing depends on a customer-specific quote and sizing.

Visit Gremlin

khaos-monkey

Paid LinuxSelf-hosted

khaos-monkey offers several ways to target and schedule pod termination experiments. Its stated focus is smaller experimental clusters, and its installation permissions merit review before deployment.

Visit khaos-monkey

The facts

Gremlinkhaos-monkey
Free planA free trialNot published
Open sourceNoNot published
Runs onAPI, Linux, Self-hosted, Web, WindowsLinux, Self-hosted
Lowest paid planGremlin Reliability Management Platform on AWS Marketplace: $45,000 a yearNot published
Plans published8None
MakerNot publishedNot published
Websitegremlin.comgithub.com
On chaos engineering platforms#18 of 25#22 of 25

Gremlin: what it does well

  • Fault injection covers services, hosts, containers, and serverless workloads.
  • Experiments have blast-radius controls and automatic rollback.
  • GameDay Manager supports preparation, analysis, and results storage.
  • Private Edition supports self-hosted deployment.
  • Trial lasts 30 days and does not auto-convert.

What to know first

  • Platform pricing requires a custom quote.
  • Agents, targets, and test volume are sized with the customer.
  • No free plan is listed.
  • Standalone fault injection suite pricing requires a quote.

khaos-monkey: what it does well

  • Free and open source
  • Supports percentage, fixed-count, and fixed-number-left modes
  • Randomizes attack intervals and kill counts
  • Can exclude pods and blacklist namespaces
  • Can run locally or as a Kubernetes Deployment

What to know first

  • Installation example grants pod and namespace list and delete permissions
  • Positioned for smaller experimental clusters
  • No support plan or response commitment is stated

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