Analytics¶
Frame provides a variety of tools to see exactly how your account is being used. Navigate to the “Analytics” panel in your Dashboard to see detailed information about your users’ sessions, usage, disk usage, and elasticity.
Sessions¶
The “Sessions” tab is the first page displayed on the Analytics page of your Dashboard. This page shows a plot of the number of sessions per hour, day, or month during a given time interval. Use the drop down menus on this tab to display the information by frequency, system, and time period. This example shows the number of production sessions launched within a month.
You can also see the total sessions, average session time, and average distance from the datacenter displayed below the graph.
More detailed information is displayed when hovering over a bar on the graph.
In this example, we can see there were 2 total production Air 4GB sessions on November 7th, 2018.
Usage¶
The “Usage” tab is the next tab over on the Analytics page. “Usage” provides detailed information about the hourly usage consumed per specified frequency, system, pool, and time interval.
The hourly usage is broken up by system type, with a key for each system type displayed below. Toggle which system types are displayed on the graph by clicking on them or changing the “Pool” from the drop down menu. In the example below, we have disabled the production Air 8GB system type.
The total hours used will always be displayed on the bottom left side of the graph on this page.
Disk Usage¶
The “Disk Usage” tab displays the amount of disk volume usage (in GB) within a specific period of time. You can adjust the frequency (hourly, daily, or monthly) using the drop down menu above the graph.
The total disk volume usage (in GB hours) will always be displayed in the bottom left corner below the graph.
Elasticity¶
The Elasticity tab provides additional detail for evaluating the performance of your capacity settings (min, max, and buffer). The most important part of this chart lets you compare the active sessions (represents users that are connecting) to active instances (the number of systems that are powered on and are consuming usage hours). For example, if you find that your active instances are always much higher than your active sessions, then you should consider lowering your “min” and “buffer” settings. Additionally, you can use this graph to ensure your Default Capacity max is not too high relative to the peak active sessions.
