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Status Submitted
Created by Guest
Created on Feb 27, 2026

Enable tuning of Metric Anomaly Alert generation to better fit experience and local handling procedures

Depending on the range of data presented to Metric Anomaly Detection, customers can observe large numbers of alerts being generated that may or may not warrant further investigation. Examples include "Spike" alerts raised once when a particular metric has a single out-of-band value, or "expected" variations such as short-term anomalies at times of expected high loads.

AIOps could be improved by providing the ability to attach overrides to either MAD alerts as a whole or (ideally) by series/groups of metrics. These would include (configurable) suppression of alerts for single-anomalous-value ("spikes"), or more complex rules like "no alert unless X anomalies in the last Y measurement periods". It would also be desirable to configure suppression of alert generation entirely for specific algorithms (e.g. "no anomaly from flatline for metric series matching pattern xxxx".  

Idea priority Medium