Kubernetes, while highly effective for cloud environments, requires significant enhancements to fully support edge computing in IoT and industrial applications. The key missing elements include optimizations for real-time processing and low-latency workloads, as many edge applications require immediate, localized data handling. Additionally, Kubernetes needs a more lightweight architecture for resource-constrained devices, better data management for local storage, and improved network resilience to allow edge nodes to operate independently during connectivity issues. Advanced scheduling mechanisms that consider proximity, latency, and energy efficiency are also necessary, alongside enhanced security models to address the unique vulnerabilities of edge environments. Addressing these gaps is essential to making Kubernetes a robust platform for decentralized and real-time edge operations.