Robotics@Canonical puts a strong focus on the migration from ROS to ROS 2. ROS 2 benefits from many improvements, especially robot security. Our goal is to make it easy for you to transition to ROS 2, whether you’re completely new to ROS or a seasoned engineer retooling for a new environment. Your new platform should be secure-by-default, and we expect you’ll need to pivot between different environments as you migrate from ROS to ROS 2.
High availability (HA) for MicroK8s, the lightweight Kubernetes, is now available as a tech preview for Linux, Windows and macOS. The Kubernetes control plane can now be distributed across multiple nodes, bringing resiliency to the cluster while maintaining a low footprint using Dqlite, the distributed SQL engine as the Kubernetes datastore.
ROS, Ripple and reflections – In this month’s edition of The State of Robotics, we’ll tell you about the recently discovered Ripple vulnerability, the latest and greatest in robots reflecting nature, and a dash of news from the ROS universe.
Do you have a big data center? Do you have terabytes of confidential data stored in that data center? Are you worried that your data might be exposed to malicious attacks? One of the most prominent security features of storage solutions is encryption at rest. This blog will explain this in more detail and how it is implemented in Charmed Ceph, Canonical’s software-defined storage solution.
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.
