Whether you’re using InfluxDB Cloud or InfluxDB OSS, the InfluxDB API provides a simple way to interact with your InfluxDB instance. The InfluxDB v2 API, the read and write portions are available with InfluxDB v1.8+, offers a unified approach to querying, writing data to, and assessing the health of your InfluxDB instances. In today’s Tech Tips post, we learn how to create and list authentication tokens. Tokens provide secure data flow between an InfluxDB instance and its users.

At InfluxData, we’re obsessed with time to awesome — how quickly can you start working productively with time series data? What can we do to make things better? InfluxDB Templates are a great example of this mindset. Back in April, we announced Templates as a way to package up everything you need to monitor a particular technology — Telegraf configurations and InfluxDB Dashboards, Tasks, Alerts, and related artifacts — into a single configuration file.

In this post we translate subqueries, using InfluxQL in InfluxDB version 1.x, into Flux, a data scripting and functional query language in InfluxDB version 1.8 and greater in either OSS or Cloud. The subqueries translated here come from this blog. This blog assumes that you have a basic understanding of Flux. If you’re entirely unfamiliar with Flux, I recommend that you check out the following documentation and blogs.

This article describes an end-to-end solution built with open source components InfluxDB and Grafana and the ogamma Visual Logger for OPC, to collect industrial process control data, analyze it in streaming mode, and visualize it in a dashboard.

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”.

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