Chaos engineering is a methodology aimed at improving the stability and reliability of software systems by intentionally introducing failures to identify vulnerabilities, particularly in complex, integrated environments such as those used by companies like Netflix and Amazon. By simulating real-world failure scenarios, this approach helps uncover weaknesses not typically captured by standard QA testing, thereby enhancing system resilience and minimizing customer disruptions. The practice involves defining a steady-state baseline, introducing controlled chaos within a specific "blast radius" to contain potential issues, and coordinating closely with DevOps to ensure rapid recovery when tests reveal problems. While chaos engineering shares some similarities with stress and performance testing, its focus on randomness and real-world conditions sets it apart, providing deeper insights into system behavior under duress. Effective chaos testing requires collaboration between QA testers and DevOps teams, leveraging the testers' ability to uncover defects and the operational expertise of DevOps to maintain production integrity during testing.