chaostoolkit 0.1.11

Chaos engineering toolkit

# chaostoolkit

[](https://travis-ci.org/chaostoolkit/chaostoolkit) [](https://hub.docker.com/r/chaostoolkit/chaostoolkit/) [](https://www.python.org/) [](https://requires.io/github/chaostoolkit/chaostoolkit/requirements/?branch=master) [](http://pythonwheels.com/)

A chaos engineering toolkit for your system and microservices.

## Context and Purpose

The chaostoolkit aims at making it simple and straightforward to run experiments against your live system to observe its behavior and learn about potential weaknesses.

The idea is that your system is complex and no matter how well you planned

and designed, it would be challenging to claim anyone knows how it would react under certain conditions.

Following in the steps of giants like Netflix or LinkedIn, we believe in the [principles of chaos engineering][principles]. Creating the conditions to stress your system should help your team become better at handling those situations while allowing your system to evolve nicely.

[principles]: http://principlesofchaos.org/

The chaostoolkit is, as its name implies, a toolkit for you to run those experiments at the platform and/or application level. For instance, by killing a microservice, your experiment could probe the system for other services and see the impact of tsuch a failure.

The goal is not to break things, though this is one way to run an experiment, but to create the conditions of stress that can make you learn from your system.

## Getting Started

chaostoolkit is a command line tool that runs your experiment, then generates a report to share with your team for discussion.

Running an experiment is as simple as:

` $ chaos run experiment.json `

chaostoolkit takes your experiment as a description file, encoded in JSON, and runs its steps sequentially.

Please, read the main documentation to [install chaostoolkit][install] and learn more about it.

[install]: https://chaostoolkit.github.io/chaostoolkit/usage/install/

## Learn More

chaostoolkit is open and you are more than welcome to discuss and share your experiments with its community.