Canonical

London, UK
2004
  |  By Canonical
Barcelona, Spain. 28 February 2024. Canonical today announced an expansion of its relationship with Amazon Web Services (AWS) to make Real-time Ubuntu available to Amazon Elastic Kubernetes Service Anywhere (Amazon EKS Anywhere) customers for use in Open radio access network (RAN) commercial deployments. With Real-time Ubuntu and Amazon EKS Anywhere, customers can benefit from ultra-reliable low-latency operating system performance and simplified Kubernetes cluster management.
  |  By Canonical
27 February 2024: Today, Canonical announced the release of Charmed Kafka – an advanced solution for Apache Kafka® that provides everything users need to run Apache Kafka at scale. Apache Kafka is an event store that supports a range of contemporary applications including microservices architectures, streaming analytics and AI/ML use cases. Canonical Charmed Kafka simplifies deployment and operation of Kafka across public clouds and private data centres alike.
  |  By arighi
In our ongoing exploration of Rust and Ubuntu, we delve into an experimental kernel project that leverages these technologies to create new schedulers for Linux. Playing around with CPU scheduling policies has always been a dream for many kernel hackers and OS enthusiasts. However, such material typically remains within the domain of a few core kernel developers with extensive years of experience.
  |  By Michael C. Jaeger
Operators take a real-world operations team’s knowledge, wisdom, and expertise, and codify it into a computer program that helps operating complex server applications like databases, messaging systems, or web applications. Operators provide implementations for operating applications that are testable and thus more reliable at runtime.
  |  By robgibbon
In the early 2010s, Apache Hadoop captured the imagination of the tech community.
  |  By ijlal-loutfi
With Ubuntu confidential AI on Azure, businesses can undertake various tasks including ML training, inference, confidential multi-party data analytics, and federated learning with confidence. The effectiveness of AI models depends heavily on having access to large amounts of good quality data. While using publicly available datasets has its place, for tasks like medical diagnosis or financial risk assessment, we need access to private data during both training and inference.
  |  By Andreea Munteanu
Edge AI is transforming the way that devices interact with data centres, challenging organisations to stay up to speed with the latest innovations. From AI-powered healthcare instruments to autonomous vehicles, there are plenty of use cases that benefit from artificial intelligence on edge computing. This blog will dive into the topic, capturing key considerations when starting an edge AI project, main benefits, challenges and how open source fits into the picture.
  |  By Miona Aleksic
In the fast-paced world of technology, innovation is the key to staying ahead of the curve. As businesses strive for efficiency, speed, and real-time data processing, the spotlight is increasingly turning towards edge computing. Edge computing represents a paradigm shift in the way data is processed and analysed. Unlike traditional cloud computing, which centralises data processing in distant data centres, edge computing brings the processing power closer to the source of data.
  |  By lizzieepton
Landscape has been a member of the Canonical product list for almost as long as Canonical has existed. Landscape allows administrators to manage their desktop and server instances from a single centralised portal.
  |  By Michelle Anne Tabirao
Financial institutions handle vast amounts of sensitive and confidential data, including customer information, transaction details, and regulatory compliance records. A trusted database ensures the security and privacy of this sensitive information, protecting it from unauthorised access, breaches, or cyber threats. MongoDB is the ideal fit, and it’s one of the most widely used databases in the financial services industry. It provides a sturdy, adaptable and trustworthy foundation.
  |  By Canonical
Season 2 of Ubuntu AI podcast is here! After a start with great guests and great feedback from our listeners, we are ready to kickstart a new series of episodes. We will continue talking about AI and open source, focusing mostly on the machine learning lifecycle, AI on public cloud, AI at the edge and the security angle of the AI projects. This time around, we will periodically invite contributors to open source projects from the AI space to join us.
  |  By Canonical
Dive deep into the collaboration between Canonical and Microsoft as we explore the latest innovation in the world of containers and.NET. In this interview, Richard Lander, Principal Program Manager for.NET at Microsoft, sits down with Cristovao Cordeiro, Engineering Manager for Containers at Canonical, to discuss the exciting developments post the launch of chiselled Ubuntu on Microsoft.NET with a focus on.NET 8, the latest release from Microsoft.
  |  By Canonical
We will address key topics such as the need for cybersecurity mandates, the evolving E/E architecture of SDVs, the importance of maintaining software integrity, meeting regulatory requirements, and delivering innovative features to enhance the user experience.
  |  By Canonical
From autonomous cars to factories: how data processing at the edge will transform automotive Automotive is at the forefront of innovation, but challenges always come with change. One of those challenges is processing data in decentralised environments like factories or vehicles. In this webinar, you will learn about automotive use cases that require local data processing for confidential reasons, or simply due to networking constraints. We will also discuss what edge clouds bring to the table and how Canonical’s MicroCloud addresses the automotive industry’s edge computing challenges.
  |  By Canonical
Securing data at run-time has long been an open security challenge. Whether it is malicious insiders exploiting elevated privileges or attackers exploiting vulnerabilities within the platform’s privileged system software, your data’s confidentiality and integrity was at risk.
  |  By Canonical
Ubuntu 18.04 LTS, installed by millions of users and continuing to have a massive footprint on AWS, hit its End of Standard Support in May 2023. When using an unsupported version of Ubuntu LTS, your system and your end users are vulnerable to security risks. Not every company has the time or resources to undertake a migration project to a later and supported Ubuntu LTS distribution which is why many are adopting Ubuntu Pro.
  |  By Canonical
🚀 A cloud-native Apache Spark® solution on Kubernetes with 10 years of support, compliance, and security maintenance, Charmed Spark® is now available! Enterprise data engineers want Apache Spark® with the ease and long-term security commitment of Ubuntu, and Charmed Spark is the first of many Canonical open-source data solutions designed for reliability and multi-cloud operations.
  |  By Canonical
In this webinar, Canonical’s Ijlal Loutfi and Henry Coggill discuss the security of Linux and Ubuntu. We’ll start by giving some background about Ubuntu for those who might be unfamiliar, and discuss how open-source software gets developed and bundled into distributions.
  |  By Canonical
Welcome to this deep-dive series of Operator Day, where we highlight exclusive sessions from the most recent Operator Day for anyone interested in software operators and automating software operations.
  |  By Canonical
In the dynamic realm of database technology, MongoDB has emerged as the leader among document databases. A growing number of enterprises are deploying MongoDB on diverse infrastructures, such as the public and private cloud. This approach is unlocking the advantages of containerisation, virtualisation, and orchestration for MongoDB instances. The benefits are compelling, but achieving them is a highly complex undertaking.
  |  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.