Serverless platforms, such as AWS Lambda, simplify application deployment by handling the hosting and operation of the platform, but they introduce reliability challenges that developers must manage within their application code and configurations. The shared responsibility model dictates that while providers ensure the platform's reliability, developers are responsible for reliability within their applications. To address potential serverless reliability risks, developers can utilize tools like Gremlin Failure Flags, which allow fault injection directly into the application code to simulate controlled failures. This approach enables developers to test how their applications handle various failure scenarios, such as database latency, dependency failures, and cold start performance, thereby identifying potential weaknesses and improving user experience. The process involves adding Failure Flags to application code, deploying the application with a Failure Flags sidecar, and running experiments to observe the application's behavior under simulated faults. This method helps developers discover hidden risks and enhance the reliability of their serverless applications.