Process Data with InfluxDB tasks

InfluxDB’s task engine is designed for processing and analyzing data. A task is a scheduled Flux query that take a stream of input data, modify or analyze it in some way, then perform an action. Examples include data downsampling, anomaly detection (Coming), alerting (Coming), etc.

Tasks are a replacement for InfluxDB v1.x’s continuous queries.

The following articles explain how to configure and build tasks using the InfluxDB user interface (UI) and via raw Flux scripts with the influx command line interface (CLI). They also provide examples of commonly used tasks.

Bug Reports and Feedback

Thank you for being willing to help test InfluxDB v2.0 alpha! Feedback and bug reports are welcome and encouraged both for InfluxDB and this documentation.

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