Workload Right-Sizing
Current CPU, memory, disk IOPS, and network utilisation, with right-sizing recommendations.
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 feeds into the ACQI app's dedicated results view. From there, conflicts, dependencies, and readiness scores roll up into the deal workspace.
/discovered/workload-right-sizing Outputs
Each module produces a CSV with readiness and risk scores, evidence-source counts, and last-seen timestamps. The exact columns vary by module — the app's results view shows the live schema.