# Automating chaos experiments in production

## TL;DR

This paper presents a platform developed at Netflix for automatically generating and executing chaos experiments to test the resilience of production distributed systems against component failures and slowdowns.

## Contribution

It introduces a novel platform for automating chaos experiments in production environments, enhancing system reliability testing.

## Key findings

- Platform successfully identifies system vulnerabilities
- Automated chaos testing improves system robustness
- Operational experience informs best practices

## Abstract

Distributed systems often face transient errors and localized component degradation and failure. Verifying that the overall system remains healthy in the face of such failures is challenging. At Netflix, we have built a platform for automatically generating and executing chaos experiments, which check how well the production system can handle component failures and slowdowns. This paper describes the platform and our experiences operating it.