Chaos Engineering is the discipline of experimenting on a system to build confidence in its ability to withstand turbulent conditions in production. It involves intentionally injecting faults and disruptions into a system to observe how it responds and to identify weaknesses. The goal of chaos engineering is to ensure that systems are resilient and can maintain functionality under unexpected conditions, such as hardware failures, network outages, or sudden traffic spikes. Tools like Chaos Monkey, Gremlin, and AWS Fault Injection Simulator are used to conduct chaos experiments. By proactively testing system robustness, chaos engineering helps improve reliability and performance in real-world scenarios.