Break Through Cluster Boundaries to Autoscale Workloads Across Them on...

on YouTube ↗37m

" summary

Describes designing and implementing multi-cluster Horizontal Pod Autoscalers (HPA) in Karmada: two approaches — centralized and distributed — to enable autoscaling workloads across Kubernetes cluster boundaries. Covers the challenges, benefits, and use cases (e.g., extending capacity across clusters or preferring local IDC before public cloud) and shows how to choose between the two HPA types with example demonstrations.

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