A data engineering team runs several Spark notebooks, pipelines, and Dataflow Gen2 refreshes in a shared Fabric capacity. Over the past week the capacity has been intermittently throttled, and the team lead needs to determine which specific items are consuming the most compute so they can prioritize optimization work. Which tool provides item-level compute (CU) consumption over time to attribute usage to individual Fabric items?