London, UK
2004
  |  By David Beamonte
Modern infrastructure teams are expected to deliver cloud-like speed, consistency, and reliability, even when their workloads run on physical servers. Bare metal remains essential for many environments: private clouds, Kubernetes clusters, AI infrastructure, edge sites, regulated platforms, and large Ubuntu estates. But operating physical infrastructure at scale is difficult when provisioning, patching, monitoring, and lifecycle management are handled by disconnected tools and manual processes.
  |  By Rhys Knipe
A platform is an environment that allows software to run smoothly across the infrastructure, runtime, and application layers. The key word there is “smoothly”: a good platform connects those layers so well that you don’t notice it. That’s what Ubuntu Server has become: the essential layer between bare metal and the apps running on top, continuously optimized across resource management, networking, and security. Ubuntu 26.04 LTS represents over 12 years of that work coming together.
  |  By Jaume Rafols
In the traditional automotive world, teams often work in silos: the cybersecurity experts lock down the ports, the quality assurance teams hunt for bugs, and the functional safety engineers track the ISO 26262 compliance. At Canonical, we believe this fragmented workflow causes friction rather than collaboration. You cannot have a safe vehicle that isn’t secure, and you cannot have a secure vehicle running on poor quality code. This friction results in a slow and rigid development process.
  |  By Canonical
Canonical is pleased to share its latest research report, “The open source chain of trust.” Based on a survey of 500 DevOps professionals, the report highlights how organizations approach their open source software supply chains. While many companies are moving toward verifiable provenance and automated security workflows, internal misalignment and disjointed approaches remain serious challenges for most teams. Read the report.
  |  By Kola Ojoodide
Open source software (OSS) is a cornerstone of modern technology. According to the Linux Foundation, it powers up to 90% of software tools used today. Unlike proprietary software, OSS is developed collaboratively, meaning its code is available for anyone to use, change, and distribute. Because OSS projects have historically been driven by developers, they tend to be highly flexible and functional, but they can lack critical usability considerations.
  |  By Rajan Patel
Canonical Livepatch now officially supports Arm64, further expanding its security patching automation capabilities. For the first time, Ubuntu on an Arm64 machine can apply critical kernel updates, without service interruption or rebooting. Starting with Ubuntu Core 26 for Arm64, and for Ubuntu Core 20 and onwards for AMD64 machines, a wider range of devices and cloud virtual machines can achieve timely vulnerability remediation through Canonical Livepatch.
  |  By Jonathan Beri
Your Ubuntu Core fleet is running beautifully. OTA updates roll out in minutes. Every device is strictly confined, cryptographically attested, and carrying a 10 to 15 year long term support (LTS) commitment. The operational team sleeps soundly. Then the product roadmap meeting happens. The industrial floor needs vibration sensors on every motor. The smart building needs temperature nodes in every room. The cold chain system requires dozens of low-power Bluetooth tags. And someone just said the words.
  |  By Ishani Ghoshal
In an increasingly volatile job market, standing out from the competition is vital. For many in the open source community, formal recognition for self-taught skills is a significant challenge. These skills are often built through hands-on hobbies, side projects, and deep community contributions. While the market is flooded with certificates and certifications, most fail to reliably measure practical execution, or fall behind the rapid pace of industry changes.
  |  By Nina Rojc
As designers working at Canonical, we’re always thinking about open source. We believe that encouraging more designers to contribute to open source benefits everyone, from the project maintainers to the end users themselves. In the 2025 edition of FOSSBackstage conference, we presented our research findings on why designers don’t get involved in open source projects and found a particular breakdown between designers and project maintainers.
  |  By Lech Sandecki
Canonical’s security philosophy has always been built on the premise that vulnerabilities exist and will be discovered. Our response relies on defense-in-depth architecture, rapid patch deployment, and strict adherence to Coordinated Vulnerability Disclosure (CVD). AI changes vulnerability discovery volume and speed. We have a robust vulnerability management process that is backed by rigorous compliance certifications.
  |  By Canonical Ubuntu
Discover Steven’s journey with Ubuntu in this interview at Google Next.
  |  By Canonical Ubuntu
Experimental robots currently assemble minor subparts of themselves, though practical utility remains a distant milestone. What is physical AI? Physical AI embeds machine learning directly into hardware, enabling algorithms to interact, move, and perform autonomous tasks in the physical world.
  |  By Canonical Ubuntu
Learn how to launch Ubuntu Pro versions that aren't available in the AWS EC2 quick launch menu. In this tutorial, Carlos Bravo from Canonical's Cloud team walks you through: Key Resources.
  |  By Canonical Ubuntu
What is physical AI? Physical AI embeds machine learning directly into hardware, enabling algorithms to interact, move, and perform autonomous tasks in the physical world. Traditionally, robots relied on precise, hardcoded coordinates; if an object shifted by a single millimeter, the entire system failed. Today, robotics is moving past rigid automation toward truly adaptive architecture. Neural networks help machines process raw sensor data in real time. Consequently, machines can dynamically reason through the unpredictable physical world.
  |  By Canonical Ubuntu
AI agents are moving from demos to production – but who governs what they do at runtime? The Agent Governance Toolkit (AGT) is an open source, MIT-licensed framework from Microsoft that enforces deterministic policy before every tool call, message, and action an agent takes. In this talk, Imran walks through how AGT brings zero-trust identity, policy-as-code, tamper-evident Merkle audit chains, and a Kubernetes sidecar model to any AI agent, regardless of framework.
  |  By Canonical Ubuntu
Discover how Anbox Cloud helps engineering teams scale Android development by moving Android workloads from physical hardware into the cloud. In this video, we showcase how developers can run, test, validate, and share Android environments on demand using containerized and virtualized Android instances. We explore how both approaches work, key differences, and use cases.
  |  By Canonical Ubuntu
The closing remark at the Ubuntu Summit reflects on two days of open source innovation and community milestone announcements. Save the dates for the next Ubuntu Summit: November 12-13, 2026! About Diogo Diogo Sousa is the Security Engineering Manager at Canonical. Ubuntu Summit 26.04 is a showcase for the innovative and the ambitious. Subscribe. Fuel your curiosity.
  |  By Canonical Ubuntu
For years, we were told we were escaping hardware. Virtualization, containers, and Kubernetes made the underlying servers practically invisible to the average application developer. Then came the AI boom and infrastructure got incredibly weird again. In this fast-paced lightning talk, Billy Olson from Canonical breaks down why the modern AI server is no longer just a machine, but a volatile distributed system packed inside a single chassis.
  |  By Canonical Ubuntu
In this video, our engineering team takes you through a full end-to-end Kubeflow implementation, step by step – from data exploration to production inference. Follow the journey of a house price prediction use case and see how modern MLOps components work together: Kubeflow architectures and starter repositories Notebook-based development workflows Data exploration and model development MLflow for experiment tracking Katib for hyperparameter optimization Kubeflow Pipelines for automated preprocessing and training KServe for scalable model inference.
  |  By Canonical Ubuntu
Can a general purpose, open source operating system like Linux be deployed in safety-critical products? Can it achieve certifications to standards like ISO 26262? This question has become increasingly common in recent years. In this talk, Bryan provides a safety integrity qualification approach for Linux. It is composed of Linux Kernel, user space libraries (like libc) and user-space components (like init processes), up to ASIL B according to ISO 26262:2018.
  |  By Canonical
From the smallest startups to the largest enterprises alike, organisations are using Artificial Intelligence and Machine Learning to make the best, fastest, most informed decisions to overcome their biggest business challenges. But with AI/ML complexity spanning infrastructure, operations, resources, modelling and compliance and security, while constantly innovating, many organizations are left unsure how to capture their data and get started on delivering AI technologies and methodologies.
  |  By Canonical
Traditional development methods do not scale into the IoT sphere. Strong inter-dependencies and blurred boundaries among components in the edge device stack result in fragmentation, slow updates, security issues, increased cost, and reduced reliability of platforms. This reality places a major strain on IoT players who need to contend with varying cycles and priorities in the development stack, limiting their flexibility to innovate and introduce changes into their products, both on the hardware and software sides.
  |  By Canonical
Private cloud, public cloud, hybrid cloud, multi-cloud... the variety of locations, platforms and physical substrate you can start a cloud instance on is vast. Yet once you have selected an operating system which best supports your application stack, you should be able to use that operating system as an abstraction layer between different clouds.
  |  By Canonical
Container technology has brought about a step-change in virtualisation technology. Organisations implementing containers see considerable opportunities to improve agility, efficiency, speed, and manageability within their IT environments. Containers promise to improve datacenter efficiency and performance without having to make additional investments in hardware or infrastructure. Traditional hypervisors provide the most common form of virtualisation, and virtual machines running on such hypervisors are pervasive in nearly every datacenter.
  |  By Canonical
Big Software, IoT and Big Data are changing how organisations are architecting, deploying, and managing their infrastructure. Traditional models are being challenged and replaced by software solutions that are deployed across many environments and many servers. However, no matter what infrastructure you have, there are bare metal servers under it, somewhere.

We deliver open source to the world faster, more securely and more cost effectively than any other company.

We develop Ubuntu, the world’s most popular enterprise Linux from cloud to edge, together with a passionate global community of 200,000 contributors. Ubuntu means 'humanity to others'​. We chose it because it embodies the generosity at the heart of open source, the new normal for platforms and innovation.

Together with a community of 200,000, we publish an operating system that runs from the tiny connected devices up to the world's biggest mainframes, the platform that everybody uses on the public cloud, and the workstation experience of the world's most productive developers.

Products:

  • Ubuntu: The new standard secure enterprise Linux for servers, desktops, cloud, developers and things.
  • Landscape: Updates, package management, repositories, security, and regulatory compliance for Ubuntu.
  • MAAS: Dynamic server provisioning and IPAM gives you on-demand bare metal, a physical cloud.
  • LXD: The pure-container hypervisor. Run legacy apps in secure containers for speed and density.
  • Juju: Model-driven cloud-native apps on public and private infrastructure and CAAS.
  • Snapcraft: The app store with secure packages and ultra-reliable updates for multiple Linux distros.

Drive down infrastructure cost, accelerate your applications.