Engineering
How anomaly detection should actually work
The Walora TeamFebruary 27, 20267 min read
Static thresholds create noise. Meaningful alerts require an understanding of what "normal" looks like for your business over time.
A threshold-based alert fires the moment a metric crosses a fixed line. That is easy to build and almost always wrong. Business metrics are seasonal, cyclical, and context-dependent.
Learning normal
Walora is being designed to establish baseline patterns for each metric and each segment, then evaluate deviations against that context rather than an arbitrary number.
Significance over sensitivity
The objective is alerts based on business significance, not raw volatility. A 3% move in a high-impact revenue stream can matter more than a 40% swing in a marginal one.