Azure Metrics Advisor
An Azure artificial intelligence analytics service that proactively monitors metrics and diagnoses issues.
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In Azure Advisor documentaion (https://learn.microsoft.com/en-us/azure/advisor/advisor-cost-recommendations#optimize-virtual-machine-spend-by-resizing-or-shutting-down-underutilized-instances) it is mentioned that there are different utilization thresholds for providing resize to smaller SKU recommendations. How is it determined whether the workloads are user facing?