Metricly uses advanced analytics to monitor your environment and proactively notify you when problems occur. There are 3 basic data types that Metricly uses to do so:
Metricly 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.
|Black data points indicate aggregate data or data that has been interpreted by Metricly. To generate aggregate data, Metricly averages the data collected from a given integration at 5 minute intervals.|
|Gray data points also indicate aggregate data but for data collected that Metricly averages at 1 hour intervals.|
|Green data points indicate sparse data or data generated by Metricly 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 Metricly. Because raw data is not interpreted by Metricly, it does not produce deviations.|