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Home > Success Center > Virtualization Manager (VMAN) > VMAN Documentation > Previous Versions > Virtualization Manager 7.0 feature: Recommendations

Virtualization Manager 7.0 feature: Recommendations

Created by Chris.Moyer_ret, last modified by Lori Krell_ret on Jan 05, 2017

Views: 960 Votes: 0 Revisions: 49

Updated: 11-1-2016

This release of VMAN introduces recommendations, which are actions that VMAN suggests you take to optimize your virtual infrastructure based on collected monitoring data. A recommendation provides an actionable resolution to an occurring or potential optimization issue in your environment and helps you manage VM sizing, host storage, and performance.

Recommendations help you:

  • Balance performance of your VMs by moving resources from over-allocated VMs to under-allocated VMs that are handling performance-intensive loads.
  • Implement solutions to problems where CPU and memory resources have exceeded a critical threshold or will exceed a critical threshold.
  • Identify datastores that will reach a storage space or other limit within a defined time period.
  • Balance VMs by identifying VMs that need to be distributed to new hosts.
  • Streamline issue resolution because you apply recommendations using the VMAN user interface. You do not need to exit VMAN to manage VM resources.
  • Review and resolve virtual environment issues without leaving the Orion Web Console.

Types of recommendations

VMAN provides two types of recommendations:

  • Active recommendations: provide immediate resolutions that you can apply to issues that have already occurred on your system. An active recommendation requires of a minimum of 1 hour of monitored VM data to trigger an alert and appear in the Orion Web Console.
  • Predictive recommendations: proactively solve problems based on calculated VM monitored data and trends. Predictive recommendations require a minimum of 7 days, and ideally 30 days, of monitored VM data before appearing on the Recommendations page in the Orion Web Console.

How recommendations work

The following walkthrough shows you how a predictive recommendation works.

These instructions are not comprehensive. For more comprehensive documentation, see the Virtualization Manager Getting Started Guide or the Virtualization Manager Administrator Guide.

All recommendations are listed in the Recommendations resource on the Virtualization Summary dashboard. This example shows two critical recommendations for the Tokyo ESX cluster. Click the cluster name to see the recommendations.


The All recommendations page lists the recommendations for the cluster you selected. Click a recommendation to see the recommendation actions, and the statistics associated with the recommendation.


In this example, the kmiele-vman VM is overwhelming the smaller datastore. By moving the VM to a larger datastore (LocalStorage01), LocalStorage02 receives more capacity for other assigned VMs and kmiele-vman VM continues service without capacity issues.

Click the Statistics tab to investigate the root cause of the problem, and compare current values with predicted values.


The Statistics tab includes an expandable chart that shows current and predicted values. This image below show the capacity dramatically increases for the VM by moving the datastore to a larger VM. LocalStorage02 regains about 22 GB of space for other VMs, giving the larger kmiele-vman VM a more adequate datastore.

When you are satisfied with the recommendation, click the Steps to Perform tab and apply the fix immediately, or schedule it for a time that best meets your maintenance needs.

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