In my previous post, I covered how to scale compute (worker) nodes in OpenShift using a semi-automated approach. While OpenShift handled most of the heavy lifting—such as powering on the node via BMC, installing RHCOS, and joining the cluster—the scaling action itself still required manual intervention. This document focuses on removing that manual step altogether. Specifically, it explores how Cluster Autoscaler and Machine Autoscaler work together to enable automatic, workload-driven scaling of compute nodes. While technologies like Cluster API and Machine API provide the underlying framework for managing machine lifecycles, the real decision-making around when to scale happens at the autoscaler layer. Before I dive into it, I would like to explain in a line about the building blocks(So you don't think of me of a complete idiot!). Cluster Autoscaler - responsible for observing the state of workloads in the cluster.…