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Analytics

Netuitive uses advanced analytics to monitor your environment and proactively notify you when problems occur. There are 3 basic data types that Netuitive uses to do so:

  • Raw data: Data collected from a third party integrationthat has not been interpreted, or aggregated, by Netuitive. Because it has not been aggregated, raw data does not contribute to event creation.
  • Aggregate data: Data collected from an integration that has been interpreted by Netuitive. To generate aggregate data, Netuitive averages the raw data collected from an integration at 5 minute intervals. Aggregate data is used to represent a metric's actual value.
  • Sparse data: Data generated by Netuitive when no data is collected from an integration for a given period of time. The value of sparse data is always 0.

Netuitive determines when a metric's behavior is abnormal through the use of static thresholds, Baseline bands, and Contextual bands. In each case, the value of a metric is based on aggregate or sparse data. Raw data cannot be used to generate events.

In Metrics page, the Element Detail panel, and Event Explorer, the colors of data points in metric charts indicate the type of data that is shown. Table 1-2 below describes each data point type and its corresponding color.

Data point color Description

Black data points indicate aggregate data or data that has been interpreted by Netuitive. To generate aggregate data, Netuitive averages the data collected from a given integration at 5 minute intervals.
Gray data points also indicate aggregate data but for data collected that Netuitive averages at 1 hour intervals.

Green data points indicate sparse data or data generated by Netuitive when data is not collected from a integration within a given period of time. The metric value for sparse data is always 0.

Red data points indicate a deviation or data that falls outside the learned Contextual or Baseline bands.
Blue data points indicate raw data or data that has not been interpreted by Netuitive. Because raw data is not interpreted by Netuitive, it does not produce deviations.

Table 1-2: Data point types.