Project: Chaos Toolkit (Observability and Analysis / Chaos Engineering)
File: README.md

<h2 align="center"> <br> <p align="center"><img src="https://avatars.githubusercontent.com/u/32068152?s=200&v=4"></p> </h2> <h4 align="center">Chaos Toolkit - Chaos Engineering for All Engineers</h4> <p align="center"> <a href="https://github.com/chaostoolkit/chaostoolkit/releases"> <img alt="Release" src="https://img.shields.io/github/v/release/chaostoolkit/chaostoolkit"> <a href="#"> <img alt="Build" src="https://github.com/chaostoolkit/chaostoolkit/actions/workflows/build.yaml/badge.svg"> <a href="https://github.com/reliablyhq/cli/issues"> <img alt="GitHub issues" src="https://img.shields.io/github/issues/chaostoolkit/chaostoolkit?style=flat-square&logo=github&logoColor=white"> <a href="https://github.com/reliablyhq/cli/blob/master/LICENSE.md"> <img alt="License" src="https://img.shields.io/github/license/chaostoolkit/chaostoolkit"> <a href="#"> <img alt="Python version" src="https://img.shields.io/pypi/pyversions/chaostoolkit.svg"> <a href="https://pkg.go.dev/github.com/chaostoolkit/chaostoolkit"> </p> <p align="center"> <a href="https://join.slack.com/t/chaostoolkit/shared_invite/zt-22c5isqi9-3YjYzucVTNFFVIG~Kzns8g">Community</a> <a href="https://chaostoolkit.org/reference/usage/install/">Installation</a> <a href="https://chaostoolkit.org/reference/tutorial/">Tutorials</a> <a href="https://chaostoolkit.org/reference/concepts/">Reference</a> <a href="https://github.com/chaostoolkit/chaostoolkit/blob/master/CHANGELOG.md">ChangeLog</a> </p> The Chaos Toolkit, or as we love to call it &#x201C;ctk&#x201D;, is a simple CLI-driven tool who helps you write and run Chaos Engineering experiment. It supports any target platform you can think of through or the ones you write as you need. Chaos Toolkit is versatile and works really well in settings where other Chaos Engineering tools may not fit: cloud environments, datacenters, CI/CD, etc. Provided you have Python 3.8+ installed, you can install it as follows: ```console $ pip install -U chaostoolkit ``` Once you have installed the Chaos Toolkit you can use it through its simple command line tool. Running an experiment is as simple as: ```console $ chaos run experiment.json ``` Chaos Toolkit's mission is to provide an open API to chaos engineering in all its forms. As such, we encourage and welcome you to our open community Slack team to discuss and share your experiments and needs with the community. You can also use to ask any questions regarding using the Chaos Toolkit or Chaos Engineering. If you'd prefer not to use Slack then we welcome the raising of GitHub issues on this repo for any questions, requests, or discussions around the Chaos Toolkit. Finally you can always email `contact@chaostoolkit.org` with any questions as well. <a href="https://github.com/tooljet/tooljet/graphs/contributors"> <img src="https://contrib.rocks/image?repo=chaostoolkit/chaostoolkit" /> </a> Contributors to this project are welcome as this is an open-source effort that seeks and continuous improvement. From a code perspective, if you wish to contribute, you will need to run a Python 3.8+ environment. Please, fork this project, write unit tests to cover the proposed changes, implement the changes, ensure they meet the formatting standards set out by `ruff`, add an entry into `CHANGELOG.md`, and then raise a PR to the repository for review The project is driven by , so install it and you can run the following commands: ```console $ pdm install $ pdm run test $ pdm run format $ pdm run lint ``` The Chaos Toolkit projects require all contributors must sign a on each commit they would like to merge into the master branch of the repository. Please, make sure you can abide by the rules of the DCO before submitting a PR.