Cutting Cloud Spend by 41%: A Cost-Aware Autoscaler with eBPF and Predictive Scaling on Kubernetes 1.31
Current Situation Analysis Most engineering teams treat cloud cost optimization as a quarterly finance exercise. You buy Reserved Instances, you toggle Spot instances for stateless workers, and you manually delete old EBS volumes. This approach is reactive, manual, and fundamentally flawed.
