outlier Metrics Operator
The metrics outlier
operator identifies metrics data points that are outside the range of expected values. Outliers help you spot unusual behavior in your metrics visualizations and track the behavior over time.
outlier
tracks the moving average and standard deviation of a time series over a specified time window, and calculates a threshold band, outside of which data points are considered outliers. You can use optional qualifiers to specify the time window, the number of standard deviations beyond which a data point is considered an outlier, and the directionality of the deviation.
You cannot directly reference the outlier
operator in a metrics monitor, however, you can use the outlier detection method in a metrics monitor to alert based on outlier events.
Syntax
outlier [window=<time_unit_or_number>, threshold=<number>, direction=[ +- | + | - ]]
Where:
window
is the range over which to calculate the moving average and standard deviation of the time series.window
can be specified with time units (s, m, h), or it can be specified without time units. Default: 5m.threshold
is the number of standard deviations from the moving average that defines the threshold band. Default: 3direction
specifies what deviation direction should trigger violations: positive deviations (+
), negative deviations (-
), or both (+-
). Default:+-
.
In the visualization, the threshold band is the part shaded in pink. The outlier values are represented by the pink triangles.