An environment for orchestrating containers on a local ProxMox server

This paper explores the integration of Horizontal Pod Autoscaler (HPA) in a Kubernetes cluster deployed on Proxmox virtualization to optimize resource utilization. Through dynamic adjustment of pod replicas based on workload demands, HPA efficiently manages resources during varying levels of activity. Practical experimentation demonstrates the effectiveness of HPA in improving resource utilization and reducing operational overhead in local server environments. This study underscores the value of autoscaling mechanisms for enhancing the scalability and reliability of Kubernetes clusters on Proxmox.