Kubernetes can encounter issues where Pods become "Unschedulable," meaning they can't be deployed to a node despite being in the scheduling queue, often due to insufficient CPU or RAM, node cordoning, or unavailable persistent volumes. These issues are typically symptoms of broader cluster management problems. Detecting unschedulable Pods involves identifying those stuck in a "Pending" state longer than usual, using tools like kubectl to query and troubleshoot. Solutions vary but include enabling cluster autoscaling, increasing node capacity, adjusting Pod resource requests, and revising affinity and anti-affinity rules. The blog also emphasizes the importance of addressing these issues to maintain cluster reliability and suggests consulting further resources like the "Kubernetes Reliability at Scale" ebook for comprehensive guidance on managing Kubernetes risks.