Public Preview: Scheduler profile configuration for AKS

Organizations running complex workloads on Kubernetes often face challenges in optimizing pod placement for performance, cost, or resource efficiency. To address this, Azure Kubernetes Service now offers scheduler profile configuration with in-tree plugins, available in public preview. This new capability enables users to customize scheduling behavior and define workload priorities across specific nodes or the entire cluster. It’s especially beneficial for advanced scenarios such as data processing, AI/ML, and cost-optimized workload distribution. 

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