Side by side
Harness Chaos Engineering vs kube-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.
Choose Harness Chaos Engineering if you need scheduled resilience experiments with blast-radius controls and Kubernetes, cloud, or network fault injection. The Free Plan provides Harness Open Source and Litmus Chaos; teams wanting standard or premier support should look at the paid plans, which begin through Contact Sales.
Visit Harness Chaos EngineeringChoose kube-monkey if you need a free, self-hosted Kubernetes tool for scheduled pod-termination experiments with opt-in labels and namespace controls. Look elsewhere if you need cloud or network fault injection; also account for the cluster-wide permission requirement when using namespace pattern filtering.
Visit kube-monkeyThe facts
| Harness Chaos Engineering | kube-monkey | |
|---|---|---|
| Free plan | Yes | Yes |
| Open source | Not published | Not published |
| Runs on | Web | Self-hosted |
| Lowest paid plan | Free or on request | Free or on request |
| Plans published | 3 | 1 |
| Maker | Not published | Not published |
| Website | harness.io | github.com |
| On chaos engineering platforms | #20 of 25 | #16 of 25 |
Harness Chaos Engineering: what it does well
- Supports Kubernetes, cloud, and network fault injection
- Experiments can be scheduled
- Blast-radius controls manage experiment scope
- Hybrid deployment model
- Free Plan includes Harness Open Source and Litmus Chaos
What to know first
- Free Plan support is community support
- Essentials and Enterprise use Contact Sales
kube-monkey: what it does well
- Free and distributed under the Apache License 2.0.
- Dry run is enabled by default.
- Supports Deployments, StatefulSets, and DaemonSets directly.
- Scheduling settings include run days, timezone, and termination hours.
- Namespace whitelists and blacklists control eligible workloads.
What to know first
- Self-hosted deployment requires an installation into Kubernetes.
- Namespace pattern filtering requires cluster-wide workload list permission.
- Does not provide cloud or network fault injection.
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