Thank you for signing up for our newsletter!
In these regular emails you will find the latest updates about
Ubuntu and upcoming events where you can meet our team.Close
We all know the drill by now: modern compute infrastructure needs to be deterministic, disposable, commoditised and repeatable. We’re all farmers now, and our server estates must be treated like cattle – ready for slaughter at a moment’s notice. However, we must remember that the driver behind the new design rationale...
Opinion piece by Rob Gibbon – Product Manager at Canonical. All views expressed are the author’s own. The open source perspective viz. PaaS Open source software, as the name suggests, is developed in the open. The software can be freely inspected by anyone, and can be freely patched as required to suit the security...
In this series, we’ve been building up an Apache Spark cluster on Kubernetes using MicroK8s, Ubuntu Core OS, LXD and GCP. We’ve learned about and set up nested virtualisation on the cloud, and had some fun. But right, it’s retrospective time: in Part 1, we saw how to get MicroK8s up on LXD, on Ubuntu
If you’ve followed the steps in Part 1 and Part 2 of this series, you’ll have a working MicroK8s on the next-gen Ubuntu Core OS deployed, up, and running on the cloud with nested virtualisation using LXD. If so, you can exit any SSH session to your Ubuntu Core in the sky and return to
If you have followed Part 1 of this blog post, you’ll have a working setup that allows you to run MicroK8s on Ubuntu Core in a VM on your local workstation using Multipass. But you’re itching to get this up and running on the cloud. I know, so am I! So let’s step through that
There are some great reasons to use nested virtualisation on compute clouds. Nested virtualisation is when you have Virtual Machines running within Virtual Machines. This approach offers a stronger isolation model than containers: by using a dedicated kernel and IO devices, bad behaviour cannot easily break out and...
Everyone knows that if you’ve got big data, you need Apache Hadoop, right? It’s an affordable, horizontally scalable, clustered data processing platform ideal for data warehousing use cases. And it knocks the socks off classic relational database management systems like PostgreSQL that can barely keep up when playing...
In this post we’ll explore the concepts of data lake, data hub and data lab. There are many opinions and interpretations of these concepts, and they are broadly comparable. In fact, many might say they’re synonymous and we’re just splitting hairs. Let’s look again.
Are you getting maximum value from your big data? Despite most businesses understanding the power and competitive advantage they could gain from harnessing their big data more effectively and leveraging it more efficiently, it’s not an easy goal to achieve. That’s why we’ve partnered with Spicule to co-present, ‘How to...
Canonical and Spicule have joined forces to bring your business a better option for open source big data and streaming analytics. You can learn more about us at some of our upcoming events – read on to find out more. Or, jump right in and get started using JAAS to deploy a fully supported Hadoop
November is just around the corner, winter jumpers are being dug out from the back of the wardrobe and it’s now acceptable to put the heating on. Although many may be considering hibernation, the Ubuntu team here at Canonical will be out and about around the world at a number of big events. So
