This text delves into the concept of chaos testing, a methodology used to assess system resilience by simulating real-world failures. Chaos testing is essential for ensuring database robustness and understanding how a system responds under extreme circumstances. The authors share a practical case study involving YugabyteDB's Change Data Capture (CDC) functionality, highlighting the benefits of controlled chaos in identifying vulnerabilities, weaknesses, and potential pitfalls within a database system. Through simulated scenarios, such as restarts, slowdowns, and network partitions, the authors demonstrate how chaos testing can uncover challenges that might not manifest in unit tests, ultimately leading to improved system resilience and reliability. The text also explores the importance of continuous improvement through iteration, highlighting the value of insights gained from each chaos test iteration in refining processes, enhancing the system, and optimizing recovery strategies.