New Machine Load Indicator scores in Citrix Analytics

April 13, 2023

New Machine Load Indicator scores in Citrix Analytics

CLOUD STATUS

     Now Available
Citrix Analytics - Performance

Machine Load metrics based on the Load Indicator are added in the Machines Self-Service View. These metrics help quickly check the load on machines without having to drill down to multiple machine parameters like the CPU usage, memory utilization, and the number of sessions on the machine.

  1. The Machines self-service view now shows machine categorization based on the Load Indicator of the machines. Load Indicator for a machine is calculated based on the resource utilization, the overall user experience on the machine and the number of sessions hosted in the case of multi-session OS machines. The value is aggregated over the selected time period. In the Machines self-service view, select Load in the Machine categorization dropdown. The machines are categorized as follows:
    • High (red) - Machines with Load Indicator in the range 71-100
    • Medium (green) – Machines with Load Indicator in the range 41-70
    • Low (amber) – Machines with Load Indicator in the range 1-40.
    • Not Categorized - The machines might be not categorized if they are in shutdown, unregistered, or failed state or if the resource data is not available for the machine.
  2. The Load facet with High, Medium, Low, and Not Categorized options helps filter the machines to help further analysis.
  3. Machines self-service view has a Load Indicator column that shows the load score of the machine. The machine performance parameters available upon expansion of the machine row now show the number of High, Medium and Low Load Instances for the selected period. This helps quantify and evaluate the load on the specific machine.

This feature helps identify machines that are underutilized or overloaded. This further enables proactive action to ensure optimal usage of the the infrastructure and improve the overall machine performance. For more information, see the Self-service article.