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:
- Raw data: Data collected from a third party integrationthat has not been interpreted, or aggregated, by Metricly. 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 Metricly. To generate aggregate data, Metricly 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 Metricly when no data is collected from an integration for a given period of time. The value of sparse data is always 0.
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.
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 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.|
Baseline bands represent the normal operating range of a metric. Metricly determines the normal operating range of a metric based on weekly patterns in the behavior of that metric.
Contextual bands represent the range of current expected values for a metric based on other correlated metrics in the learned model. In contrast to Baseline bands which look for patterns in a metric in isolation, Contextual bands take into account how the value of one metric may impact another.
Static thresholds are unchanging levels that are compared against a metric’s current value. Create Static Threshold conditions in policies to use static thresholds to monitor the elements in your environment. If the value of a metric is greater than, less than, greater than or equal to, less than or equal to, equal to, or not equal to the specified level of a Static Threshold condition (depending on the operator selected), then an event is generated.