Open-Source DevOps · litmuschaos

litmus

LitmusChaos is an open-source chaos engineering platform that helps teams test infrastructure resilience by deliberately injecting controlled failures into Kubernetes environments. It provides a centralized control plane for constructing and monitoring chaos experiments alongside execution agents that run faults on target systems.

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Source: GitHub — github.com/litmuschaos/litmus

5.5k

GitHub stars

884

Forks

Primary language

Apache-2.0

License (OSI-approved)

Key facts

Objective fields from the source. Values we can't verify are shown as “Unknown” rather than guessed.

Field	Value
Repository	litmuschaos/litmus
Owner	litmuschaos
Primary language	Go
License	Apache-2.0 — OSI-approved
Stars	5.5k
Forks	884
Open issues	411
Latest release	3.30.0 (2026-06-17)
Last updated	2026-07-07
Source	https://github.com/litmuschaos/litmus

What litmus is

LitmusChaos is a Kubernetes-native chaos engineering operator written in Go that uses custom resources (ChaosExperiment, ChaosEngine, ChaosResult) to define and execute fault injection workflows. It comprises a centralized chaos-center control plane and distributed chaos agents with operators that reconcile experiment definitions and expose results as Prometheus metrics.

Quickstart

Get the litmus source

Clone the repository and explore it locally.

terminalbash

1git clone https://github.com/litmuschaos/litmus.git2cd litmus3# follow the project's README for install & configuration

Need it deployed, integrated, or customized instead? DEV.co ships production installs.

Best use cases

Pre-production resilience validation in CI/CD

Inject faults as a pipeline stage to identify failure modes before production, catching bugs that unit and integration tests miss when systems degrade.

SRE-led infrastructure weakpoint discovery

Schedule recurring chaos experiments across application and infrastructure layers to proactively identify deployment vulnerabilities and improve incident response.

Developer-driven chaos during application development

Run lightweight chaos experiments locally or in staging as an extension of testing to build fault-tolerant applications from the ground up.

Implementation considerations

Requires a functional Kubernetes cluster (version compatibility not specified in data); Litmus runs as microservices with its own resource footprint.
ChaosExperiment CRs must be authored or sourced from ChaosHub; community-contributed experiments reduce custom development but introduce dependency on external maintenance.
Steady-state hypothesis validation via 'probes' requires clear definition of application health metrics and acceptable degradation thresholds before experiments run.
RBAC and network policies must be configured to limit blast radius; operator-sdk integration suggests operator-based privilege model that needs hardening review.
Integration with Prometheus for metrics and ChaosResults storage implies observability infrastructure prerequisites.

When to avoid it — and what to weigh

Non-Kubernetes environments required — LitmusChaos is Kubernetes-native. If your infrastructure is primarily VM-based or serverless without K8s, alternative tools may be more suitable.
Minimal operational overhead needed — Deploying and maintaining the chaos control plane (chaos-center), agents, and operators adds operational surface area; lighter-weight fault injection tools may suffice for simple use cases.
Vendor lock-in risk is critical — While open source, deep integration with Litmus custom resources and the ChaosHub ecosystem creates domain-specific lock-in; evaluate portability needs carefully.
Real-time production blast radius control unavailable — Chaos experiments are powerful; organizations without mature runbooks, rollback procedures, and blast-radius guardrails may face unintended production impact.

License & commercial use

Licensed under Apache License 2.0 (Apache-2.0), a permissive OSI-approved license permitting commercial use, modification, and distribution with liability and trademark disclaimers.

Apache-2.0 permits commercial use, but verify compliance with license terms (attribution, notice file inclusion). No proprietary restrictions noted; however, commercial support and SLA terms are Unknown. Review licensing for any bundled or dependent components.

DEV.co evaluation signals

Editorial assessment — not user reviews. Directional, with an explicit confidence level.

Signal	Assessment
Maintenance	Active
Documentation	Adequate
License clarity	Clear
Deployment complexity	High
DEV.co fit	Good
Assessment confidence	High

Security considerations

Chaos operators and agents execute workload disruptions; RBAC, network policies, and audit logging are critical to prevent unauthorized fault injection. Custom resource validation and admission webhooks should be reviewed. No security audit or CVE history provided; assess threat model for your environment. Blast-radius guardrails and safe-defaults (e.g., dry-run modes, approval workflows) are essential to prevent unintended outages.

Alternatives to consider

Gremlin

Established commercial SaaS; broader attack surface (cloud, containers, on-premise); managed control plane reduces operational overhead but vendor lock-in and per-seat licensing.

Chaos Mesh

CNCF project; similar Kubernetes-native approach with broader network/DNS fault support; compare experiment libraries, community maturity, and vendor backing.

AWS Fault Injection Simulator (FIS)

AWS-native; integrates tightly with AWS resources and managed services; not portable to multi-cloud or on-premise; suitable for AWS-only environments.

Software development agency

Build on litmus with DEV.co software developers

LitmusChaos is a powerful, community-backed tool for chaos engineering in Kubernetes. Our DevOps and cloud deployment teams can help you design experiments, architect safe blast-radius controls, and integrate chaos testing into your CI/CD pipeline.

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litmus FAQ

Does LitmusChaos work outside Kubernetes?

No; LitmusChaos is Kubernetes-native and uses K8s custom resources and operators. Hybrid or non-K8s targets are out of scope based on core architecture.

How do I prevent chaos experiments from breaking production?

Use RBAC to restrict blast radius, define clear steady-state probes, run dry-runs first, and implement approval workflows. Litmus does not enforce these; they are operational discipline.

Can I bring my own chaos tools (BYOC)?

Yes; ChaosExperiment CRs support optional third-party tooling integration. Consult docs for framework and API requirements.

Is there commercial support or managed hosting?

Not specified in available data. Check litmuschaos.io or contact maintainers directly for SLA/support tiers.

Software development & web development with DEV.co

DEV.co is a software development agency delivering custom software development services to companies building on open source. Our software developers and web developers design, integrate, and ship production systems — spanning web development, APIs, AI, data, and cloud. If litmus is part of your open-source devops roadmap, our team can implement, customize, migrate, and maintain it.

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