Knowledgebase: SGmon
Understanding SGmon Metrics
Posted by Summer Miel Young on 19 September 2014 06:03 PM

This is section explains how SGmon calculates data, and why it's used to give you a general overall summary of your streaming usage.

SGmon uses data that is pulled every five minutes and then averaged over a period of time. When it goes to display a larger period of time it will need to drop some of the measurement points in order to fit the display window. The method it uses to drop and consolidate the data is called the consolidation function. The consolidation function being used on the graphs you are viewing drops the lower value and uses the maximum value whenever it needs to decide between two data points. So the large increase in numbers you are seeing on the graphs is a result of the largest numbers being kept and the smaller numbers being dropped.

In reverse, the smaller the time window the more data points you can fit and the more accurate the readings will be. When we have a granularity of 1 day the system doesn't need to drop many data points to display the information so you can almost see every five minute pull.

The reason the difference between the month and the year information is so high is because the time difference is so large. You can see that there is not much discrepancy between the week and month. The year graph is intended to just give you a general view of your activity and is not used in any billing calculations.

For precise statistical reports, please ask us about our SGreports packages,

Support is available 24/7 if you have any technical questions, or would like assistance.
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