Hereinafter, we will be talking about anomaly detection in greater details and in the context of vmanomaly , which is an enterprise-grade solution of VictoriaMetrics that leverages modern anomaly detection algorithms to effectively identify anomalies in your time series data. : In this case, individual data points may not appear anomalous, but a sequence of points is labeled as an anomaly Contextual Anomalies: Some data points may be considered normal in one context but identified as anomalies in another context. Time series forecasting by itself can be used in anomaly detection tasks, when we train a model on past time series’ data, forecast the future and calculate anomaly score based on