Service disruptions, such as the significant Amazon S3 outage on February 28, 2017, highlight the importance of building resilient systems that can withstand failures. This event, caused by a debugging error that inadvertently removed more servers than intended, led to cascading failures across various AWS services and emphasized the inevitability of system failures. To mitigate such risks, organizations are encouraged to employ strategies like Chaos Engineering, which involves proactively simulating failures in a controlled environment to assess system resilience. This approach, exemplified by tools like Gremlin, allows teams to identify and address weaknesses before they impact customers, fostering a culture of reliability by preparing for potential outages and testing system responses under stress. Ultimately, the goal is to create systems that are robust enough to handle unexpected disruptions by continuously learning from both real-world and simulated incidents.