Break Through Cluster Boundaries to Autoscale Workloads Across Them on a Large Scale

Explore the concept of autoscaling workloads across multiple clusters in this 37-minute CNCF conference talk. Discover the challenges, benefits, and scenarios of cross-cluster autoscaling, and learn how centralized and distributed multi-cluster Horizontal Pod Autoscaler (HPA) implementations address these challenges in Karmada. Understand the differences between these two types of multi-cluster HPA and how to select the appropriate one for various scenarios. Gain insights into scaling resources infinitely across clusters and optimizing costs by prioritizing local IDC scaling before public cloud expansion. Watch example demonstrations and learn how to leverage these advanced autoscaling techniques to enhance your multi-cluster workload management.

Break Through Cluster Boundaries to Autoscale Workloads Across Them on...- Wei Jiang & XingYan Jiang