Cluster Autoscaler and Cluster API
Static infrastructure sizing is inherently inefficient. Over-provisioning compute capacity to survive peak traffic spikes wastes substantial cloud expenditure during idle hours. Conversely, under-provisioning risks capacity starvation: incoming workloads sit stalled in Pending with scheduling errors when user demand surges. In cloud environments, engineers often reach for cloud-native autoscaling mechanisms like AWS Auto Scaling Groups (ASGs) or Azure Virtual Machine Scale Sets (VMSS). However, cloud autoscalers operate strictly on hypervisor-level metrics (e....