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Window: Defines the size of the rolling window used for quantile computation. A larger window smooths the data but may reduce sensitivity to sudden changes.
Band: Sets the sensitivity of anomaly detection. A narrower band makes the algorithm more sensitive to deviations, while a wider band captures more data as "normal."
Rolling Window size :
Rolling Windows are 1m, 2m, 3m, 5m, 10m, 15m, 30m, 1h, and 2h.
Band parameter:
Has the possible values of 1, 2, or 3.
Example
In the example below, the time series graph displays unique count of errors over a period. The gray band represents the expected range based on recent data, while red markers indicate anomalies—data points outside the predicted range. Here, a sudden increase in errors during peak hours is flagged as an anomaly, allowing for quick detection and investigation.
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