Complaining about your crappy internet speed is a tale as old as time. Given the rapid shift for so many of us to work from home, our internet speed now affects us on a daily basis. Where in my house should I avoid taking Zoom meetings because of low download speed? Does my internet speed actually get worse in the evenings, or am I just paranoid? How far away from the microwave do I really need to be to ensure that my wifi isn’t impacted?

With the widespread use of LTE (Long Term Evolution), we are seeing more IoT devices come online in remote regions of our planet. Picture this scenario: A country is currently experiencing a national emergency due to an electrical grid failure. To mitigate the power shortage the government has deployed generators in the remote regions of their country to power the most remote villages. The problem? The villages are still reporting outages due to the emergency generators running out of fuel.

If you’re familiar with InfluxDB Cloud, then you’re probably familiar with Flux already. Flux enables you to transform your data in any way you need and write custom tasks, checks, and notification rules. But what you might not know is that InfluxDB Cloud now supports API Invokable Scripts in Flux.

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.

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.

As a language for processing time series data, Flux has an important role in how we understand that data. As we create and process data, we do it for ourselves and others. The concept of time and how we as people interact with time isn’t always simple.

Roadmap revealed, insight gained, connections made, and InfluxDB Challenge swag won — that’s a wrap for InfluxDays North America 2021! The conference, which brought together the #InfluxDB community to exchange time series acumen and use cases, is always a reminder of why and how we’ve grown. It included subject-matter-expert led courses, on-demand videos and live sessions.

InfluxDB enhancements enable developers to get started on building real-time applications quickly and to scale SAN FRANCISCO, October 26, 2021 – InfluxData, creator of the leading time series platform InfluxDB, today announced new capabilities for developers to expedite application building as part of InfluxDays North America 2021 Virtual Experience, its annual event for customers, partners and developer community.

By developers, for developers – this has always been InfluxData’s approach when building new tools for users, and it’s certainly the case as we roll out the newest round of features and capabilities at this year’s InfluxDays North America. We know that application building isn’t easy and that development cycles are precious. That’s why we focus everything we do around delivering developer happiness.