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This article was written by Nicolas Bohorquez and was originally published in The New Stack. Scroll below for the author’s picture and bio. Telegraf is the preferred way to collect data for InfluxDB. Though in some use cases, client libraries are better, such as when parsing a stream of server-side events. In this tutorial, you’ll learn how to read a data stream, store it as a time series into InfluxDB and run queries over the data using InfluxDB’s JavaScript client library.

The Telegraf 1.20.3 release changed the official Telegraf DockerHub image to no longer run the Telegraf service as root. With this change, the Telegraf service runs with the least amount of privileges in the container to enhance security given the wide extensibility and array of plugins available in Telegraf.

Recently, I explored the case for Graylog as an outstanding means of aggregating the specialized training data needed to build a successful, customized artificial intelligence (AI) project. Well, that’s true, of course. My larger point, though, was that Graylog is a powerful and flexible solution applicable to a very broad range of use cases (of which AI development is just one).

In Telegraf 1.19 we released a new JSON parser (json_v2). The original parser suffered from an inflexible configuration, and there were a handful of pretty common cases where data could not be parsed. While a lot of edge cases for parsing can be resolved using the Starlark processor, it is still a more advanced approach that requires writing scripts. We have made a lot of enhancements to the new JSON parser that can help you easily read in your JSON data into InfluxDB.