The Overview page displays performance information about the Application Servers that are in use for the Hosted Service Center.
To effectively manage the resources on the Application Servers, the Hosted Console allows you to create multiple worker processes to host the VAR Virtual Service Centers. You may also move VAR Virtual Service Centers between worker processes running on many Application Servers.
For each Application Server, a graph labeled with the machine name displays bar graph representations of the 4 hour average usage of the server's CPU and memory resources. The memory bar graph is segmented to display how much memory is being used by the host operating system and each worker process on the Application Server. Hovering the mouse pointer over sections of the bars displays the metrics for that section.
Below the graph for each Application Server is an expandable table that provides information on the Performance Details.
Item | Description |
---|---|
Worker Process | The Barracuda RMM number for the worker process being visualized. Hovering the mouse pointer over the entry will show the operating system PID (process identifier), which you can use for live monitoring using Task Manager in Windows. A 32-bit Worker Process reaches is maximum recommended load at 1.2 GB memory usage, and a 64-bit Worker process at 2.4 GB. Once at this point, they will no longer be identified as the best to use when creating new Virtual Service Centers. |
Capacity (%) | The average percentage of the total system memory that has been used by the process over the previous 4 hours. |
Memory Usage (MB) | The average, in megabytes, of the total system memory that has been used by the process over the previous 4 hours. |
VAR Count | The number of VARs that currently occupy the worker process. |
Site Count | The number of sites that currently occupy the worker process. |
Device Count | The number of Devices that currently occupy the worker process. |
When an application server is experiencing heavy load for extended periods (worker processes using more than 1.2 GB of memory), moving VARs to another server is recommended. Typically, VARs with the most devices, in particular servers, are ideal candidates for moving as they usually consume the most resources. VARs can be moved to a different worker process either on the current application server or another application server.
See To move a VAR Virtual Service Center.
To view the current status of a worker process
- From the Application Server hosting the worker process you want to view, click Performance Details.