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Lightning Talk: Anomaly Detection - Robust Strategy

Lightningat PromCon EU 2025 · 2025-10-21..10-22· [observability, machine-learning]
slides:none on file

Algorithm builds prediction bands from a median over one day and an approximate median absolute deviation (MAD) times 2, with an experimental mad_over_time for persistence. It adds a short-term smoothing signal called level = median over one hour, which requires roughly 30 minutes of sustained change to move. Result: short spikes are ignored, sustained spikes trigger anomalies with delayed onset and longer duration. Compared with the prior adaptive method, that one fires immediately on spikes but widens bands and can miss longer anomalies.

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