One major challenge with decarbonization of industrial heat is converting the variability of renewable energy into the reliability required by process plants. Solar panels only generate energy when the sun is out, and wind turbines generate energy when the wind blows. Industry, however, has a consistent and persistent need for energy. Graphite Energy, based in Australia, recognized this disconnect and set out to create a solution to it.

Data – specifically time series data – continues to be the key ingredient for successful digital transformation. No matter the industry, time series data helps companies understand the activities and output of people, processes and technologies impacting their business. The effective management and use of time series data has emerged as the best path towards this goal.

Welcome to the concluding chapter of this three-part blog series on the low latency Ubuntu kernel for industrial embedded systems. Each blog is standalone and can be read independently from the others, although you may want to start at the beginning for some continuity. If you need a quick refresher on userland and kernel space, we recommend you check Part I out first.

Welcome to Part II of this three-part blog series on adopting the low latency Ubuntu kernel for your embedded systems. In case you missed it, check out Part I for a brief intro on preemptable processes in multiuser systems and memory split into kernel and user space. The low-latency Ubuntu kernel ships with a 1000 Hz tick timer granularity (CONFIG_HZ_1000) and the maximum preemption (CONFIG_PREEMPT) available in the mainline Linux kernel.

Welcome to this mini blog series on the low latency Linux kernel for industrial embedded systems! The real-time patch, which is not fully upstream yet, has had many developers wonder about stable alternatives for their projects adopting an embedded Linux operating system (OS) with latency requirements in the milliseconds’ range. The low-latency Ubuntu Linux kernel from Canonical is less costly to maintain than real-time alternatives.

The number of internet-connected assets around us that are powering services and utilities in a wide array of sectors is rising at an exponential rate. As a result, it’s becoming critical for businesses that provide such services and utilities to have an observability stack tailored to the type of physical hardware devices that are generally deployed in swarms.

Percepio®, the leader in visual trace diagnostics for embedded systems and the Internet of Things (IoT), today released Tracealyzer 4.6 with official support for Zephyr RTOS and Microsoft Azure RTOS ThreadX. The new release also includes Percepio’s next generation trace recorder library with improved support for snapshot trace.

Today is test day at Curborough Sprint Track, and the University of Nottingham’s Race Team is taking its creation out for a spin. Frankie is their fully electric 2WD vehicle, able to achieve speeds of up to 80mph (129 km/h). The Team uses Tracealyzer to test the functionality of their embedded software; while writing the code, to record the trace while Frankie is running, and to review the data afterwards. And with great results.

Make no mistake: You can’t overlook software distribution in DevOps. At risk are the reliability, security and speed of your software releases — and your business itself. This is especially true in enterprises that are releasing across numerous edge endpoints or IoT devices. As your releases’ cadence and payload grow, software distribution challenges multiply, particularly at the edge.

Here are the articles, videos, and tools that we’ve been excited about this January. We hope you enjoy these links, and we look forward to hearing what you’ve been reading in the comments or on the Interrupt Slack.