Financial institutions are transitioning from legacy monolithic systems to modern architectures like microservices and cloud computing to address challenges such as reducing latency, releasing new features, and maintaining high availability. This modernization process is complex, requiring extensive testing to avoid potential issues such as bugs, unexpected application behavior, and poor performance. Chaos Engineering emerges as a solution to these challenges by intentionally introducing failures to test system resilience, uncovering hidden failure modes, and validating environment configurations. Through tools like Gremlin, organizations can conduct chaos experiments to ensure systems withstand conditions like network latency and hardware failures, ultimately leading to more reliable and scalable applications. Continuous Chaos, involving regular chaos experiments, further helps maintain reliability by aligning with regulatory compliance and service level agreements, while also preparing teams to respond effectively to reliability issues.