Grafana Prometheus: Detecting anomalies in time series

In our previous post, we explored how we detect anomalies in time series using the 3 sigma rule using Influx. In this article we'll do the same using Grafana https://blog.davidvassallo.me/2021/09/28/influxdb-flux-detecting-anomalies-in-time-series/ As a quick recap, the 3-sigma rule states that approximately all our "normal" data should be within 3 standard deviations of the average value of … Continue reading Grafana Prometheus: Detecting anomalies in time series

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