InfluxDB Flux: Detecting anomalies in time series

Posted on by David Vassallo

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

InfluxDB: Monitoring Web Server HTTP Response Codes

Posted on by David Vassallo

Scenario: Measuring the number of HTTP response codes returned to clients over time using InfluxDB. This would (for example) produce a line graph with a line for each HTTP code (e.g. 200, 500, 404, etc) which varies over time We use InfluxDB (latest version is 2.0.8 at the time of writing) to monitor much of … Continue reading InfluxDB: Monitoring Web Server HTTP Response Codes