In this post, you’ll learn what causes high series cardinality in a time series database and how to locate and eliminate the culprits. First, for those of you just encountering this concept, let’s define it: The number of unique database, measurement, tag set, and field key combinations in an InfluxDB instance. Because high series cardinality is a primary driver of high memory usage for many database workloads, it is important to understand what causes it and how to resolve it.

Today we announce InfluxDB 2.0 Open Source’s first official release candidate (RC). This represents a final version of the software as we move towards general availability. We appreciate all the feedback from our users over the last few years and realize that getting to this stage has taken longer than any of us predicted.

In this post we share how to use the InfluxDB CLI with InfluxDB Cloud. This TL;DR assumes that you have registered for an InfluxDB Cloud account – registering for a free account is the easiest way to get started with InfluxDB.

In this post, we learn how to use the reduce(), findColumn(), and findRecord() Flux functions to perform custom aggregations with InfluxDB. This TL;DR assumes that you have either registered for an InfluxDB Cloud account – registering for a free account is the easiest way to get started with InfluxDB – or installed InfluxDB 2.0 OSS. In order to easily demonstrate how these functions work, let’s use the array.from() function to build an ad hoc table to use in the query.

It’s back to school season, and oftentimes, that means people are purchasing TI-84 calculators for their kids. But did you know that Texas Instruments makes so much more than calculators? 😁 Michael Hinkle, a Probe Engineering and Manufacturing Supervisor at Texas Instruments, recently presented on “How Texas Instruments Uses InfluxDB to Upload Product Standards and to Improve Efficiencies”.

This tutorial will walk you through sending StatsD metrics to Telegraf. StatsD is a simple protocol for sending application metrics via UDP. These metrics can be sent to a Telegraf instance, where they are aggregated and periodically flushed to InfluxDB or other output sinks that you have configured. At the time of writing, we have 37 different output plugins supported.

InfluxDB clustering is available as part of InfluxData’s commercial product offered in both managed and self-managed capacities.

Machine learning — the practice of writing algorithms that improve automatically through experience — has become a buzzword nowadays that connotes to something otherworldly and on the bleeding edge of technology. I’m here to tell you while that may be true, getting started with machine learning doesn’t have to be hard!

I recently spoke with Jeremy White who is using InfluxDB to monitor his aquariums. By collecting IoT sensor data, he has been able to better understand his 200 gallon salt-water aquarium full of fish and coral. The entire project can be found on GitHub. Caitlin: Tell us about yourself and your career. Jeremy: I’m a Senior Network Automation Consultant at Network to Code, and my background is in networking engineering. Network to Code is an industry leader in network automation.

Team-building remains an important priority despite the shift to remote work, but doing remote team-building well is even trickier than it was when everyone was in the office. This article sheds light on the creative approaches we take to remote team-building and my advice for other businesses that are struggling to adapt their cultural initiatives to a remote setting.