Virtual Machines. Right-sizing – VMs Oversized for Memory and CPU
This report is designed to find virtual machines that have more RAM or CPU resources than they need. Analysis of historical performance data versus configured allocation is used to build a detailed report, with recommendations for a more optimized configuration.
In this example, the report allows you to detect top 10 VMs that have more allocated memory and CPU resources than they require. Performance statistics for the last month were used as a basis for the report analysis.
To run this report:
- From the From list, select This month > First day. From the To list, select Today.
- From the Sections to Show list, select both vRAM and vCPU.
- From the Show Details list, select Yes (collapsed).
- From the Performance Modeling Based On list, select Average Usage.
- In the Top N Count field, enter 10.
- Click Run to view the report.
The report will show tables and charts displaying information on top 10 VMs memory and CPU consumption: allocated, recommended, min/max and average memory values, standard deviation and current configuration.
The report contains two sections:
- Virtual machines that have too many vCPUs allocated
- Virtual machines that have too much RAM allocated
You can click the plus sign next to any virtual machine name in the table to view details for that virtual machine.
The Recommendations analysis sections for both vCPU and vRAM will summarize the total savings possible by reclaiming the resources found by the report.
All recommendations are based on the current configuration. So, if a virtual machine has no current configuration (is turned off or decommissioned), it will not be included in the report.
RAM Analysis recommendation table:
CPU Analysis recommendation table:
You can click the name of an oversized VM or the Oversized VMs link in the RAM analysis and CPU analysis tables to drill down to performance details for these VMs.
You can click the VMs that cannot be analyzed link in the RAM analysis and CPU analysis tables to drill down to performance details for these VMs.