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ChaosEater - Automating Chaos Engineering with Large Language Models


ChaosEater


Table of Contents

  1. Introduction
  2. Features
  3. Installation
  4. Usage
  5. Contributing
  6. License

Introduction

Welcome to the "ChaosEater" repository! This repository contains the code for "ChaosEater: Fully Automating Chaos Engineering with Large Language Models". ChaosEater is a cutting-edge tool that leverages large language models to automate chaos engineering in software systems.

Chaos engineering is a discipline aimed at improving system resilience by proactively injecting failures into a system to uncover hidden issues. With ChaosEater, this process is fully automated, thanks to the power of large language models like GPT-3 and others.


Features

  • Fully automate chaos engineering experiments in your software system.
  • Seamless integration with popular chaos engineering tools like Chaos Mesh, k6, and Kubernetes.
  • Utilize large language models for intelligent decision-making during chaos experiments.
  • Support for microservices architectures and complex software systems.
  • Enhance the overall resilience of your software through automated chaos testing.

Installation

To get started with ChaosEater, you can download the latest release from the following link:

Download ChaosEater

Once you have downloaded the zip file, extract it to your desired location and follow the instructions in the README to set up ChaosEater for your system.


Usage

To use ChaosEater for automating chaos engineering in your software system, follow these steps:

  1. Configure ChaosEater with the necessary parameters for your system.
  2. Define the chaos experiments you want to conduct using ChaosEater.
  3. Run ChaosEater and monitor the results of the automated chaos experiments.
  4. Analyze the data and make improvements to your system based on the findings from ChaosEater.

ChaosEater streamlines the chaos engineering process, allowing you to focus on building more resilient software without the manual overhead of traditional chaos testing methods.


Contributing

We welcome contributions from the community to enhance ChaosEater and make it even more powerful for automating chaos engineering. If you have ideas, bug fixes, or new features to propose, feel free to fork the repository, make your changes, and submit a pull request.

Please ensure that your contributions align with the goals of ChaosEater and maintain code quality standards. Together, we can make chaos engineering more accessible and effective for software engineers around the world.


License

The ChaosEater project is licensed under the MIT License. See the LICENSE file for more details.


Thank you for checking out ChaosEater! Happy chaos engineering with large language models! 🚀🌪️