You plan to deploy an Azure Kubernetes Service (AKS) cluster that includes Windows Server 2019 nodes. Requirements: minimize the time to provision compute resources during scale-out and support autoscaling of Windows Server containers. Which scaling option should you recommend?
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Correct answer: cluster autoscaler.
Why this is the answer
The cluster autoscaler is the correct choice because it automatically adjusts the number of nodes in your AKS cluster based on resource requests from pods. This minimizes provisioning time during scale-out by ensuring new nodes are added only when needed, and it directly supports autoscaling of Windows Server containers by managing the underlying node pool. The horizontal pod autoscaler (HPA) scales the number of pods, not the underlying compute nodes. While important for application scaling, it doesn't address the provisioning of compute resources. Virtual nodes allow AKS to integrate with Azure Container Instances (ACI) for rapid pod provisioning, but they don't scale the AKS cluster's own nodes. Kubernetes version 1.20.2 or newer is a prerequisite for certain features but not a scaling option itself.
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