The growing reliance on cloud-native technologies has made Kubernetes a cornerstone of modern software infrastructures. However, deploying and managing Kubernetes clusters directly in bare-metal environments still poses significant challenges. The lack of native provisioning mechanisms, the diversity of hardware configurations, and the need to coordinate manually upgrades and scaling operations make these environments difficult to maintain. For organizations and research institutions that depend on on-premise resources—whether for performance, security, or data sovereignty reasons—achieving the same level of automation and resilience found in public clouds remains an open problem. This thesis proposes an automated and extensible framework that brings cloud-grade manageability to bare-metal Kubernetes clusters.