To simplify monitoring for the very large datasets enterprises rely on today, we’ve developed VictoriaMetrics Anomaly Detection from scratch to identify data trends and alert only for signals that matter. Instead, VictoriaMetrics Anomaly Detection analyzes historical data and attaches an anomaly score to each data point indicating how far a signal deviates from the expected value or pattern. Anomaly Detection trained with historic data, allowing it to identify anomalies that would otherwise require an engineer familiar with the data set.