In Kubernetes, efficient resource utilization is key to maintaining performance, availability, and cost-effectiveness. As workloads fluctuate, autoscaling becomes an essential strategy to manage compute resources dynamically. Two leading tools in this space — Karpenter and Cluster Autoscaler — often spark debate among DevOps teams. But which on