Deploying Kubernetes Pods without setting CPU requests can lead to issues such as resource shortages and potential Pod eviction, emphasizing the importance of specifying CPU requests to ensure Pods have the necessary resources. CPU requests in Kubernetes are crucial as they dictate the minimum amount of CPU resources a Pod needs, helping Kubernetes effectively schedule Pods and prevent over-allocation on a single node. To mitigate the risk of missing CPU requests, it is advised to use metrics to determine an appropriate CPU request value and leave some overhead to accommodate resource needs under load. Tools like Gremlin can assist in detecting and verifying mitigation of such risks through experiments like fault injection, allowing users to test Pod resilience by simulating increased CPU usage. Gremlin's platform offers a trial to identify and address such reliability risks, highlighting the importance of proactive management to prevent disruptions in Kubernetes environments.