---
title: "Provider VDCs Performance"
description: "This report aggregates historical data and shows performance statistics for selected provider virtual datacenters across a time range."
canonical: "https://helpcenter.veeam.com/docs/one/userguide/provider_vdc_performance.html"
breadcrumb: "User Guide > Reports > Predefined Veeam ONE Reports > Provider VDCs Performance"
dateModified: "2026-10-23"
---

# Provider VDCs Performance

This report aggregates historical data and shows performance statistics for selected provider virtual datacenters across a time range.

- The **Summary** section includes **Top N** charts that display provider virtual datacenters with the largest amount of allocated resources and the highest level of CPU, memory and storage utilization.
- The **Current Usage Details** section shows general configuration data for the selected provider virtual datacenters.
- The **Performance Charts** section displays tables and performance charts with resource usage statistics for each provider virtual datacenter included in the report scope.

## Report Parameters

You can specify the following report parameters:

- **Provider virtual datacenters**: defines a list of provider virtual datacenters to analyze in the report.
- **Period**: defines the time period to analyze in the report.
- **Business hours only**: defines time of a day for which historical performance data will be used to calculate the performance trend. All data beyond this interval will be excluded from the baseline used for data analysis.
- **Top N**: defines the maximum number of provider virtual datacenters to display in the report output.

[![Provider vDC Performance Report](images/provider_vdc_performance.png "Provider vDC Performance Report")](images/provider_vdc_performance.png){.toggle scale=50}

[![Provider vDC Performance Report](images/provider_vdc_performance_2.png "Provider vDC Performance Report")](images/provider_vdc_performance_2.png){.toggle scale=50}

## Use Case

The report helps you identify provider virtual datacenters with performance issues, balance workloads and optimize resource allocation.