When you first access the RTS interface, you will see a return of data rolled-up by location. When you first access the Real-time Statistics application, it loads a time-series of data showing the number of queries received for your domain over the past 5 days, at each of our domain-name server locations.
Each time-series in the chart shows the time history of queries received at a particular location. And each data point within a time-series represents the number of queries your domain received at that location over a 30 minute interval.
When you first access the dashboard, the chart displays the top five time-series with the largest number of queries over a 5 day period. This provides you with a quick overview of your queries, allowing you to see the big picture. Any abnormal spikes will appear here, letting you know as soon as possible if there are issues that need to be resolved.
Before we dive into the tutorials, we'd like to define a few terms so that we have a common language when using RTS.
A set of points counts as a function of time. In the chart above, each time-series is represented by a set of queries for a particular location because that data has been rolled-up by record name and record type.
When dimensions have specific values, they become a bucket (a collection of dimensions). Each bucket becomes a plot on the graph.
Location, record type, and/or record name are the "dimensions" of a bucket.
In this new language, each point in a particular time-series represents the number of queries received in that bucket during a time interval.