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Introducing Grafana Machine Learning for Grafana Cloud, with metrics forecasting

At GrafanaCONline in June, we talked about the future of machine learning at Grafana Labs. Four months later, we are excited to introduce Grafana Machine Learning for Grafana Cloud, with our metrics forecasting capability. It’s available now to all customers on Pro or Advanced plans. If you’re not already using Grafana Cloud, you can sign up for a free 14-day trial of Grafana Cloud Pro here.

Topio + JFrog | Scaling Continuous Software Delivery for Edge & IoT Applications

Enterprises came to expect that software that underpins their business can change at the speed of the market. Cloud-native technologies and modern DevOps tools enable enterprises to continuously deploy software updates across data centers and public clouds. But things often get slowed down when trying to update applications across mixed environments and large fleets of edges and IoT devices.

JFrog and Upswift: Bringing IoT Software Updates to DevOps Upswift Acquistion

JFrog has acquired Upswift to bring the world of connected devices into the DevOps pipeline! Managing fleets of devices and edge applications remotely - including over-the-air (OTA) updates, security, monitoring, controlling and more - has quickly become unwieldy for most companies, with growth of connected devices expected to reach 24 billion in 2026. But, most of today’s DevOps solutions are not optimized or built to deliver software updates to distributed edge and IoT environments.

Driving Data Innovation With MLTK v5.3

Many of you may have seen our State of Data Innovation report that we released recently; what better way to bring data and innovation closer together than through Machine Learning (ML)? In fact, according to this report, Artificial Intelligence (AI)/ML was the second most important tool for fueling innovation. So, naturally we have paired this report with a new release of the Machine Learning Toolkit (MLTK)!

Feature Engineering For Machine Learning: The Ultimate Guide

Almost all industries use artificial intelligence (AI) and machine learning (ML) today. As part of the so-called disruptive technologies, they've upended current technologies and have affected people in the way they work, do business, and spend their leisure time. And, with the pace these techs are advancing, they'll continue to be at the forefront of technological progress in the next few years.