WorkloadRightSizing
Workload right-sizing discovery via WMI utilisation collection.
What it does
Collects current and short-window CPU, memory, disk IOPS, and network utilisation from Win32_PerfFormattedData_* WMI classes, then emits right-sizing recommendations (downsize / hold / upsize) with monthly cost-savings estimates against a configurable Azure-style price book. Output files: WorkloadUtilization.csv per-host raw utilisation snapshot WorkloadRightSizing.csv recommendation + monthly cost delta
How the app exposes it
The module runs through the ACQI discovery orchestrator and writes its rows into a dedicated results view. From there, conflicts, dependencies, and readiness scores feed the deal-wide consolidation layer.
/discovered/workload-right-sizing Outputs
Each module emits a normalised CSV keyed by entity ID with readiness and risk scores, evidence-source counts, and last-seen timestamps. The exact column set varies by module — the app's results view shows the live schema.