Description
LitmusChaos is an open source Chaos Engineering platform designed to help teams identify weaknesses and potential outages in their infrastructures by inducing chaos tests in a controlled manner. Hosted by the CNCF, LitmusChaos is built on modern Chaos Engineering practices, making it easy to use, scalable, and fast. It is trusted by startups and enterprises alike to improve system reliability.
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The platform introduces the Litmus MCP Server, which integrates Chaos Engineering into AI workflows, allowing users to discover, run, and monitor experiments directly from compatible MCP clients. This integration enables natural language triggers for experiments, making it easier to embed resilience into developer workflows.
LitmusChaos offers a comprehensive suite of features, including ChaosHub, which hosts a variety of chaos experiments that are well-tested and highly tunable. Users can chain chaos experiments in sequence or parallel to build complex scenarios, and use Litmus probes to create and verify steady-state hypotheses.
The platform supports chaos observability by exporting Prometheus metrics, which help quantify the impact of chaos on applications or infrastructure in real-time. LitmusChaos is highly extensible, allowing integration with other tools to create custom experiments. It is particularly beneficial for Kubernetes developers and SREs who manage chaos in a declarative manner.
LitmusChaos 3.0 introduces a revamped user experience with a streamlined UI, Chaos Studio for fine-tuning experiments, and support for MongoDB high availability. It also includes resilience probes for steady-state validation and API refactoring for improved code architecture. The platform is suitable for production environments and can be integrated into CI/CD pipelines for end-to-end testing.
- CategoryAI DevOps & Cloud Tools
- Pricing ModelOpen Source
- DeploymentCloud
- PlatformsKubernetes
LitmusChaos's Core Features
Open source Chaos Engineering platform
CNCF-hosted project
Integrates with AI workflows via MCP Server
Supports Kubernetes environments
ChaosHub for pre-defined experiments
Prometheus metrics for observability
Extensible for custom experiments
Revamped UI in Litmus 3.0
How to use LitmusChaos?
Configure: Set up LitmusChaos with minimal configuration
Use: Run chaos experiments via MCP clients
Monitor: Observe experiment results in real-time
Optimize: Fine-tune chaos parameters using Chaos Studio
LitmusChaos's Use Cases
- Infrastructure Testing
- AI Workflow Integration
- Kubernetes Resilience
- CI/CD Pipeline Integration
- Steady-State Validation
