Operations | Monitoring | ITSM | DevOps | Cloud

So you need to add microcontrollers to your fleet: now what?

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.

Scaling Android development with Anbox Cloud

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.

Validating real-world skills through Canonical Academy

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.

Template: Streamlining open source design contributions

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.

Beyond Mythos: responding to a new threat landscape

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.

Closing remarks | Ubuntu Summit 26.04

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.

AI at the edge: simplifying infrastructure with Cisco and Canonical

Legacy infrastructure was not designed for the requirements of the AI era. While large-scale model training remains centralized in data centers, test-time inference is rapidly shifting to the edge to reduce latency and bandwidth consumption. This shift creates a new frontier for enterprise AI, but deploying at the edge introduces significant manual complexity, interoperability issues, and security vulnerabilities.

AI Made Infrastructure Weird Again | Ubuntu Summit 26.04

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.

The next era of telco clouds: get open infrastructure choice with Sylva and Canonical Kubernetes

The telco industry is undergoing a fundamental change. Over the past few years, the increasing maturity of cloud-native infrastructure has accelerated the movement from manually operated and hardware-centric systems to automated, software-defined platforms. Underpinning this change are open source initiatives such as the Sylva project. Sylva is hosted by Linux Foundation Europe and heavily backed by major telecom operators and vendors.

Kubeflow MLOps tutorial: from notebook development to production inference

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.