The community has spoken and the demand was clear: “BRING BACK THE INTERACTIVE SHELL USED IN 1.X” So it’s back… It works with InfluxDB V2… and has some improvements. The interactive shell allowed users to write data and interactively query data using InfluxQL. For newer users, InfluxQL is the SQL-like query engine that was native to the first major version of InfluxDB.
As more businesses generate and process data at the edge, the need to share data from edge nodes to a centralized cloud location increases. Replicating data from the edge to the cloud ensures consistency across an entire application and creates an uninterrupted historical record that preserves the critical context of time. Edge Data Replication (EDR) is a feature available in InfluxDB designed to address this challenge.
As the world continues to face unparalleled uncertainties due to climate change, using energy efficiently is more important than ever. Time series data plays a critical role in helping organizations operate in a greener and more sustainable way. In Finland, EnerKey operates a platform that drives sustainability and energy management to unearth savings from consumption data.
InfluxDB is very powerful for working with time series data, but learning to use any new tool can be intimidating. The fear of a steep learning curve can delay or even prevent people from using new tools that would ultimately make things easier and more efficient. Fortunately, InfluxDB has over a dozen client libraries so you can work with InfluxDB using a language you already know.
Geo-temporal data has both location and time. It’s used for all sorts of applications, from tracking shipments, to predicting weather patterns, to building fitness apps. It’s powerful because it lets you know where and when events happen, so you can understand them better and connect them with other events.
Tracking Service Level Objectives (SLOs) helps developers build more reliable software. At least, that’s the hope of Nobl9. The company’s self-titled SLO platform provides real-time data to software developers, DevOps practitioners, and reliability engineers so that they have the information they need to build reliable features quickly.
The MQTT Consumer Plugin is one of our most widely used input plugins for Telegraf. If you need a little bit of background, then I highly recommend checking out the following: I plan to release an MQTT best practices blog soon, but we thought this plugin partnership was too good not to talk about now.
We love to write and ship code to help developers bring their ideas and projects to life. That’s why we’re constantly working on improving our product in sync with developer needs to ensure their happiness and accelerate time to awesome. This is the second in a blog series covering our product’s latest features — features that we think will save you time and effort when building with time series and InfluxDB.
Industry-leading time series platform recognized for ease of setup and user satisfaction SAN FRANCISCO, June 30, 2022 – InfluxData, creator of the leading time series platform InfluxDB, today announced it has been named a leader in the G2 Grid for Time Series Databases, as well a leader within the inaugural Momentum Grid® Report for Time Series Databases in the Summer 2022 ratings from G2, the world’s leading business solution review platform.
