Kapacitor guides and tutorials

Calculating rates across joined series + backfill

Collecting a set of time series data where each time series is counting a particular event is a common scenario. Using Kapacitor, multiple time series in a set can be joined and used to calculate a combined value, which can then be stored as a new time series. This guide shows how to use a prepared data generator in python to combine two generated time series into a new calculated measurement, then store that measurement back into InfluxDB using Kapacitor.

Creating a live leaderboard for game scores

Tutorial on using Kapacitor stream processing and Chronograf to build a leaderboard for gamers to be able to see player scores in realtime. Historical data is also available for post-game analysis.

Custom anomaly detection with Kapacitor

Tutorial on building a custom anomaly detection system using Kapacitor and user defined functions (UDFs) to get alerts

Kapacitor TICKscript examples

The Kapacitor repository includes TICKscript examples. These scripts use popular Telegraf plugins as data sources and show how to build common alert messages. Telegraf plugins, with example scripts, include cpu, disk, mem, and netstat metrics from the System (system) input plugin.

Load directory service

Configure a load directory service for file-based definitions of Kapacitor tasks, templates, and topic handlers that load on startup

Using Kapacitor as a continous query engine

Converting an InfluxDB continuous query to a Kapacitor TICKscript

Using Kapacitor event handlers to send alert messages

Configuring Kapacitor to send alert messages to a HipChat room using event handlers and TICKscripts

Writing Kapacitor socket-based user defined functions (UDFs)

Learn about Kapacitor user defined functions (UDFs), differences between socket UDFs and process UDFs