ntt-dkiku/chaos-eater
An LLM-based system that fully automates Chaos Engineering (ASE 2025, NIER track)
This project automates Chaos Engineering for Kubernetes systems. It takes your Kubernetes manifest files as input and uses AI to automatically hypothesize potential system weaknesses, design experiments, analyze results, and suggest improvements. This tool is for site reliability engineers, DevOps teams, or anyone responsible for ensuring the resilience and stability of applications running on Kubernetes.
Use this if you need to systematically identify and fix resilience issues in your Kubernetes deployments without manually performing each step of the Chaos Engineering cycle.
Not ideal if you need a production-ready solution, as this is currently an experimental implementation.
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25
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2
Language
Python
License
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Last pushed
Jan 16, 2026
Commits (30d)
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