Recommendations page in the Azure Virtual Machines view
To view a summary of recommendations for all virtual machines
The Recommendations table displays detailed recommendation information for all the Azure virtual machines. The following table describes each column in detail.
To find a specific system
Use the sorting and filtering options on the page to find a specific system. For more information, see Sorting-a-table-in-the-Helix-Capacity-Optimization-Dashboard and Using-filtering-options-in-the-Helix-Capacity-Optimization-Dashboard.
Additionally, you can use the following filtering options on this page.
To review recommendations details
To view the recommendation details, for a VM, click the corresponding Efficiency icon (For example. ).
The Recommendations window opens that provides the exact findings along with the recommended actions that you can take to manage the VM.
The following table explains the different fields that you see in the Recommendations window.
Field | Description |
---|---|
System | Name of the virtual machine |
Optimizer findings | Brief description of the issue |
Type | Recommendation type. It is one of the configuration parameters in the optimizer rule that generates this recommendation |
Severity/Efficiency | Efficiency level of the recommendation that is based on the estimated savings per month that you can achieve by implementing the recommended action |
Generated on | Date of the last run of the associated optimizer rule |
Optimizer rule | Name of the associated optimizer rule |
Recommended actions | Suggested actions that you can implement to optimize your costs |
Accuracy indicator | Displayed only for overallocated VM. Indicates the level of accuracy or reliability of the resizing recommendation. For more information about how the recommendation is generated, see Overallocated-VM-recommendation. You can click the icon to view its description. The icon can have one of the following values: Value - Accuracy level
For more information about each accuracy level, see Troubleshooting-resizing-recommendations-for-overallocated-VMs. |
For more information about recommendations, see Using-recommendations-to-resolve-capacity-risk-and-efficiency-issues.
An example of the Azure recommendations page