GreenScale: Multi-Objective Autoscaling for SLA, Cost, and Energy Efficiency in Cloud-Native Systems

Summary

The episode introduces GreenScale, a Kubernetes‑based autoscaling framework that simultaneously optimizes service‑level agreement compliance, cloud cost, and energy efficiency through Pareto‑optimal decision making. It explains how GreenScale gathers real‑time telemetry, estimates energy usage via utilization‑based proxies, and selects scaling actions that balance performance, expense, and carbon impact, outperforming traditional CPU‑centric and cost‑aware autoscalers. Experimental results show up to 27 % energy savings while maintaining SLA targets and reducing scaling instability. The host emphasizes the practical benefits for cloud teams: lower operational costs, reduced burnout, and a path toward truly sustainable cloud operations.