Explore power-aware Kubernetes scheduling through PEAKS (Power Efficiency Aware Kubernetes Scheduler) in this informative conference talk. Discover how PEAKS targets aggregate power optimization during scheduling, using ML models to consider node utilization versus power consumption. Learn about the innovative approach that recommends nodes for pod scheduling, addressing power inefficiencies on underutilized nodes. Understand how this dynamic method aligns nodes along the utilization-power curve, significantly reducing power compared to default schedulers. Delve into the multi-objective optimization and power efficiency aspects of PEAKS, revolutionizing cloud-native system management. Gain insights into Kepler's role in facilitating energy metrics collection from cluster nodes, enhancing power-aware scheduling. Explore diverse pod placement strategies based on node utilization-power relations, and discover how PEAKS enriches Kubernetes' energy optimization capabilities.