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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

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 iden

Tech innovators use Linux to create intelligent devices for homes, factories, buildings, cities or vehicles etc… These things are deployed at the edge, in privacy sensitive or business critical environments. They require ever more compute to run ever smarter applications. A Linux distribution engineered for embedded devices running highly

In the first part of this tutorial, we installed and configured EdgeX foundry on a Raspberry Pi 4, turning it into an edge gateway. In this tutorial, the gateway will be connected to dummy IoT devices. These dummy devices will be virtually simulated by software. They will send messages transmitting random measurements to an MQTT

Using Anbox Cloud, telecommunication providers can create disruptive mobile user experiences for their 4G, LTE and 5G mobile network customers.

Updated 32-bit and 64-bit images of Ubuntu for the Raspberry Pi family of devices have just been released. Innovators around the world can now download 32-bit images for the Raspberry Pi 2, 3 and 4, as well as 64-bit images for the Raspberry Pi 3 and 4. With the new images, USB ports are now

Developers get new opportunities to innovate with the emergence of edge computing. However, to unleash this innovation, form factors and software stacks suitable for hacking edge applications need to be made accessible. Canonical has enabled Ubuntu on the Raspberry Pi 4 for this purpose. Furthermore,  popular edge and IoT platforms are av

Canonical is attending the Smart Product Solutions (SPS) trade fair in Nuremberg from November 26th to 28th. We are convening to the 30th edition of the trade fair for smart automation solutions alongside 1650 other exhibitors. Digital transformation in automation will be the main theme of  SPS 2019, under the official motto “automation m

Update: Ubuntu 18.04 LTS and 19.10 images for the Raspberry Pi 4 are now available on the Raspberry Pi downloads page. With 19.10 release of Ubuntu Server, Canonical announced official support for the Raspberry Pi 4. The latest board from the Raspberry Pi Foundation sports a faster system-on-a-chip with a processor that uses the Cortex-A7

Canonical will be present at the 2019 IoT Solutions World Congress (IOTSWC) in Barcelona from Tuesday 29th October at booth 224 in hall 2.  We are convening to the flagship IoT event, alongside more than 350 leading suppliers of IoT, artificial intelligence and blockchain solutions. Businesses attending IOTSWC are investing to transform t

There are fundamental differences between developing general-purpose software applications and making software for embedded systems. Embedded systems software runs on resource-constrained hardware, in contrast to general-purpose server or client applications that run on more capable hardware. For this reason, embedded system software is n

When it comes to IoT device management, the core challenge is the following: how to implement a solution that is both secure and perfectly suited to the intended use case?

Self-driving cars are one of the most notable technology breakthroughs of recent years. The progress that has been made from the DARPA challenges in the early 2000s to Waymo’s commercial tests is astounding. Despite this rapid progress, much still needs to be done to reach full autonomy without humans in the loop – an objective

IoT workloads are moving from central clouds to the edge, for reasons pertaining to latency, privacy, autonomy, and economics. However, workloads spread over several nodes at the edge are tedious to manage. Although Kubernetes is mostly used in the context of cloud-native web applications, it could be leveraged for managing IoT workloads

This blog demonstrates how to easily deploy monitoring tools at the edge using Kubernetes. In IoT scenarios, such a deployment brings the benefits of privacy, latency and minimal bandwidth cost. Luckily, MicroK8s the single node Kubernetes, caters for such use cases. The beauty of MicroK8s is that deployment can be done in a couple of

Artificial intelligence relies on machine vision just as much as human intelligence relies on vision. Image sensors are, therefore, crucial for AI applications because of the richness of data that they capture. Capturing and processing video and images at the edge is a capability that intelligent IoT applications need to deliver. In this