The Robot Operating System (ROS) is a popular open-source platform for advanced robotics. Its flexibility and ease-of-use make it well-suited to a wide array of robotics applications – however, these robots are not always sufficiently protected against security threats. Opportunistic attacks are by far the most prevalent, and robots with inadequate ROS security make tempting targets for bad actors.
The Vanilla framework has a history of being released very infrequently. Sometimes it has been months between releases, which made the upgrade process often hard and time-consuming. One of the reasons for that was a manual and a quite time-consuming release process. Over several weeks earlier this year, we’ve been working on various improvements that helped us release more frequently and reliably.
In part 1 we will talk about the industrial applications and benefits that 5G and fast compute at the edge in the form of ‘smart cell towers’ will bring to AI products. In part 2 we will go deeper into how you can benefit from this new opportunity. Part 3 will focus on the key technical barriers that 5G and Edge compute remove for AI applications.
Over the past few months, we published a number of articles showing how to snap desktop applications written in different languages – Rust, Java, C/C++, and others. In each one of these zero-to-hero guides, we went through a representative snapcraft.yaml file and highlighted the specific bits and pieces developers need to successfully build a snap. Today, we want to diverge from this journey and focus on the server side of things.
According to a recent study, 96% of applications in the enterprise market use open-source software. As the open-source landscape becomes more and more fragmented, the task to assess the impact of potential security vulnerabilities for an organisation can become overwhelming. Ubuntu is known as one of the most secure operating systems, but why? Ubuntu is a leader in security because, every day, the Ubuntu Security team is fixing and releasing updated software packages for known vulnerabilities.
As the number of IoT devices scale, the challenges of provisioning and keeping them up to date in the field increases. Domotz, who manufacture an all-in-one, network monitoring and management device for enterprise IoT networks, found themselves with this challenge that was further compounded by their rapid software release cadence. One of the most crucial and difficult aspects for Domotz to solve was the delivery of automatic updates to the tens of thousands of devices deployed.
(This blog post is part of a 5 part series, titled “How to launch IoT devices”. It will cover the key choices and concerns when turning bright IoT ideas into a product in the market. Sign up to the webinar on how to launch IoT devices to get the full story, all in one place.) First part: Why does IoT take so long? Second part: Select the right hardware and foundations Third part: IoT devices and infrastructure
The tutorial for building a Raspberry Pi cluster with MicroK8s is here. This blog is not a tutorial. This blog aims to answer; why? Why would you build a Raspberry Pi cluster with MicroK8s? Here we go a little deeper to understand the hype around Kubernetes, the uses of cluster computing and the capabilities of MicroK8s.
Canonical today announced full enterprise support for Kubernetes 1.18, with support covering Charmed Kubernetes, MicroK8s and kubeadm. Committed to releasing in tandem with upstream Kubernetes, enterprises can benefit from the latest additions to enhance their day to day operations.
