Canonical has announced the general availability of Managed Kubeflow on the Microsoft Azure Marketplace. This fully managed MLOps platform allows enterprise AI teams to deploy a production-ready environment in under an hour, eliminating infrastructure maintenance.

A local privilege escalation (LPE) security vulnerability in the Linux kernel, codename “PinTheft,” was publicly disclosed on May 19, 2026. The vulnerability was fixed in the mainline Linux kernel tree. A proof-of-concept exploit was published along with public disclosure. This has been assigned the CVE ID CVE-2026-43494; other discovering teams may have given this issue

I’ve yet to meet a developer that enjoys working with metered AI APIs. The need to pay for every API call in development works in direct opposition to the ethos of rapid iteration, and it’s easy for the costs to get out of hand. That’s why Canonical has created a different approach to building AI-powered

Open source thrives on engineering-driven processes. Fast feedback loops, terminal tools, Git workflows: they’re the lifeblood of how we build software in the open. But for software to truly excel, we need to create user experiences that empower people to use them. I wanted to bring this conversation into the spotlight as part of Canonical’s

In the lead-up to Ubuntu Summit 26.04, Canonical and Arm are collaborating to certify the new Arm AGI CPU on Ubuntu 26.04 LTS (Resolute Raccoon). Learn what this means for developers and agentic AI.

Developers now benefit from consistency and repeatability for cutting-edge workflows, including agentic AI. Today, Canonical announced the release of Workshop, a solution for launching development environments with a single command. These environments are configured once, and can be reproduced on different machines. This means consistent workflows across development machines and deployment pipelines, and less time

The purpose of this guide is to highlight the key differences between Apache Spark 3 and Spark 4, and provide advice on how to plan a migration. Let’s get started. The biggest changes Let’s talk about the biggest changes between Apache Spark 3.x and Spark 4. Scala 2.12 no more First up, there’s no support

Most modern datacenters are inherently heterogeneous. VMware environments coexist with container platforms, databases, and other bare-metal workloads, often on the same hardware over several years. Servers are bought once, but their role changes as requirements evolve. However, ESXi (the VMware hypervisor) provisioning is often handled separately. Hosts are installed using VMware tooling, custom scripts, or

Canonical and Google Cloud announced the availability of certified Ubuntu images for Google’s Cloud TPU Virtual Machines.