Anodot uses the following methods for collecting and send metrics:

As your metric data is received by Anodot, the following computations and analyses are made: 

  • Aggregation of raw data into all time scales.
    See Time Range and Time Scale
  • Learning of normal metric behavior.
  • Determination of anomalies based on learned normal behavior.
  • Independent computation of anomalies for each time scale.


There are two metric naming conventions. Before defining property names for your metrics, see 

Metric 2.0 Format - Recommended

Metric 1.0 Format – Legacy (Graphite)


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