InfluxDB Flux: Detecting anomalies in time series

The 3-sigma rule There are many ways to detect an anomalous event in time series, ranging from simple arithmetic all the way up to leveraging neural networks like LSTMs. This post focuses on the simple “3-sigma rule”, also known as the “68-95-99” rule. About 68% of our data would be expected to be within one … Continue reading InfluxDB Flux: Detecting anomalies in time series