Azure IoT Edge is a Microsoft Azure service that allows you to run containerized workloads on IoT devices. With IoT Edge and Azure IoT Hub, Azure’s device-management platform, organizations across science, manufacturing, energy production, and other industries can provision their IoT devices and workloads at the edge of their cloud networks for immediate in-unit computing, a necessity when running AI algorithms or parsing large datasets directly on IoT devices.

NVIDIA Jetson is a family of embedded, low-power computing boards designed to support machine learning and AI applications at the edge. Organizations use Jetson boards for complex video and image processing and analysis, automating build processes in factories, and improving city infrastructures. For example, Jetson-based devices enable cities to analyze traffic patterns with their existing traffic cameras in order to find ways to improve their most congested intersections.

In 2014, the Mazia (Matsch) research site in the Italian Alps was officially accepted as a Long Term Socio Ecological Research LT(S)ER site. The monitoring infrastructure is operated by Eurac Research and the University of Bolzano and consists of 24 automatic microclimatic stations in a mountain ecosystem across an elevation gradient ranging from 1,000 m to 2,700 m, logging several meteorological and biophysical variables every 15 minutes.

With the holidays upon us around the world, some folks here at Sysdig decided to take a technological approach to holiday cooking. How, you ask? By adding a little PromQL to the mix. A home kitchen during the holidays can be a very frenetic place. There are often many, many dishes being prepared at the same time and cooked in sequence. Some are short and easy, others can take several hours. It’s inevitable that a dish will get missed, or a step forgotten.

In collaboration with the AWS team, we have just launched another AWS integration, the AWS IoT SiteWise plugin for Grafana. AWS IoT SiteWise is a managed service that helps users collect, store, organize, and monitor data from industrial equipment, across facilities, at scale.

The Internet of Things (or, IoT) is an umbrella term for multiple connected devices sharing real-time data, and IoT logging is an important part of this. Troubleshooting bug fixes, connection problems, and general malfunctions rely heavily on logs, making them an invaluable asset not only in designing systems but also in system maintenance. To maximize system potential, this plethora of generated data needs to be managed efficiently.

A Linux kernel for each developer team, which uses it to bring up target boards. Bespoke, built, issued, and maintained over years by the vendor. Teams that focus on building great apps, rather than figuring out hardware dependencies. Happy developers that bootstrap smart devices in no time. This is what highly productive embedded systems development should look like. Let’s unpack that vision.

Cybersecurity attacks on industrial IoT solutions can have detrimental consequences. This is the case because IoT devices record privacy-sensitive data and control production assets. Therefore, demonstrable trustworthiness is prerequisite to IoT adoption in industrial settings. Fortunately, IT security is a mature field. Experts have identified classes of threats devices may be subject to. Let’s discuss these threat patterns and mitigation strategies in the IIoT context.