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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.

Our November update introduces new team settings and, along with them, entirely new options for escalating Signls. This will allow you to make your incident response even more reliable. One application is to create a ‘managers on duty’ teams with full duty scheduling capabilities and escalate missed Signls to such 2nd level response team. As always, you can find all the details in this article.

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).

It is crucial for network admins to fully understand their network topology. Even basic troubleshooting can be needlessly complicated without a network topology diagram which is vital for building and maintaining a network. A network topology diagram shows how the various components work together; it shows the devices, connections and pathways of a network visually so you can figure out how devices interact and communicate with one another.