This blog series is part of the joint collaboration between Canonical and Manceps. Visit our AI consulting and delivery services page to know more. Kubeflow Pipelines are a great way to build portable, scalable machine learning workflows. It is a part of the Kubeflow project that aims to reduce the complexity and time involved with training and deploying machine learning models at scale. For more on Kubeflow, read our Kubernetes for data science: meet Kubeflow post.

Everyone hates waiting in a queue. On the other hand, when you’re moving gigabytes of data around a cloud environment, message queues are your best friend. Enter Apache Kafka. Apache Kafka enables organisations to create message queues for large volumes of data. That’s about it – it does one simple but critical element of cloud-native strategies, really well.

A growing number of car companies have made their autonomous vehicle (AV) datasets public in recent years. Daimler fueled the trend by making its Cityscapes dataset freely available in 2016. Baidu and Aptiv respectively shared the ApolloScapes and nuScenes datasets in 2018. Lyft, Waymo and Argo followed suit in 2019. And more recently, automotive juggernauts Ford and Audi released datasets from their AV research programs to the public.

If you were thinking that nothing will change in your VMware data centre in the following years, think again. Data centre storage is experiencing a paradigm shift. Software-defined storage solutions, such as Ceph, bring flexibility and reduce operational costs. As a result, Ceph storage on VMware has the potential to revolutionise VMware clusters where SAN (Storage Area Network) was the incumbent for many years.

Kubeflow Pipelines are a great way to build portable, scalable machine learning workflows. It is one part of a larger Kubeflow ecosystem that aims to reduce the complexity and time involved with training and deploying machine learning models at scale. In this blog series, we demystify Kubeflow pipelines and showcase this method to produce reusable and reproducible data science.

Is Ubuntu an enterprise Linux distribution? If you are asking, you are probably wondering if you can use Ubuntu anywhere else other than your workstation or development environment. Perhaps you are wondering whether you can implement Ubuntu in your enterprise, including production environments? If that is the case, I have good news for you. Yes. Ubuntu is an enterprise Linux distribution with full commercial support provided by Canonical, the publisher and maintainer of Ubuntu.

We are delighted to share a new initiative – the Ubuntu Appliance portfolio. Together with NextCloud, Mosquitto, Plex, OpenHAB and AdGuard, we have created a new class of Ubuntu derivatives: specialised appliance images that do one thing beautifully. Ubuntu Appliances transform a Raspberry Pi or PC into a secure, self-updating solution, free of charge. The Ubuntu Appliance mission is to enable secure, self-healing, single-purpose devices.

While searching for your next GNU/Linux enabled computer, you may have found that some vendors such as Dell, HP and Lenovo sell a selection of desktops and laptops with Ubuntu pre-installed. In fact, Ubuntu is certified on an ever-growing list of hardware. But what does it mean exactly for such a device to be “Ubuntu certified”, and how does this happen? Let’s find out.

With several countries finally emerging from lockdowns and markets showing signs of economic recovery, we’ve seen the newscycle steadily shift its focus away from Covid-19. And that will be reflected in our robotics recap as well. Let’s get right to it.

.NET is an open source software framework for building cross-platform applications on Linux, Windows, and macOS. Ubuntu on WSL allows you to build and test applications for Ubuntu and Windows simultaneously. What happens when we mix these together? This blog will demonstrate how to install a .NET development stack on WSL, build a simple OS-aware application, and then test it on both Linux and Windows.