This article was originally published on HackMD and is reposted here with permission. Presently organizations are unable to monitor millions of embedded Linux devices in real-time. With so many different architectures and device types, aggregating telemetry and metrics and viewing that data in a centralized analysis tool is problematic. Onboarding embedded Linux devices into a telemetry service so that metrics can be easily observed is a significant challenge.

Ubuntu Desktop 22.10, codenamed Kinetic Kudu, is here! This is the first release after Ubuntu 22.04 LTS, which means that there are a number of changes in both the underlying technology and the user experience, as well as some previews of what might be on the horizon in future releases. Excited? Let’s jump straight into our highlights.

Codenamed “Kinetic Kudu”, this interim release improves the experience of enterprise developers and IT administrators. It also includes the latest toolchains and applications with a particular focus on the IoT ecosystem.

In Pandora FMS we are in luck, we now have Pandora FMS RHEL8 software certification. Some called it impossible, others the next step to take, whatever the case everyone received it with applause! But hold on…

Autonomous vehicles are all over the media these days. But what of the technologies that make them possible? In a previous blog post, we covered the many fascinating use cases for digital twins and their applications for the development of self-driving cars. But with the race towards autonomy becoming fiercer, the costs to use these new enabling technologies are rising exponentially. Moreover, the need for talent and experts across the world is forcing companies to shift to remote work.

You’ve probably heard about the Internet of Things but what about the Artificial Intelligence of Things? Yes, connected things are also getting smarter and smarter. AIoT is a new field that combines AI and IoT in fascinating new use cases, some of them in automotive.

Ubuntu KVM — an industry-leading hypervisor — extends its reach to AI/ML applications and graphics-intensive applications with native support for NVIDIA virtual GPU (vGPU) software products, including NVIDIA Virtual Compute Server (vCS) and NVIDIA RTX Virtual Workstation (vWS). Canonical has been working closely with NVIDIA to ensure frictionless integration and a best-in-class user experience.

Privacy enhancing technologies and confidential computing are two of my favorite topics to talk about! So much so that I am writing this blog post on a sunny Saturday afternoon. But wait, what’s that I hear you murmuring? “What is confidential computing? And how does it affect me?” Those are two very good questions.

From entertainment to security, automation is now pervasive. Intelligent devices are transforming our homes while enriching our lives, making them more efficient, productive and environmentally friendly. Most embedded devices run Linux, and their number is poised to keep growing.