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Canonical

Apache Kafka Real Time Personalisation

Discover the future of content recommendation systems with Marc Oppenheimer, Senior Data Engineer at Canonical. In this informative video presentation, you'll gain profound insights into designing a sophisticated, real-time personalization architecture using the power of Apache Kafka and Spark. This video is your gateway to mastering the technical intricacies of data engineering and AI-driven content recommendation.

Implementing edge computing for V2X use cases in automotive

Vehicles are becoming more and more like mobile data centres. On average, a modern vehicle contains over 60 sensors that monitor various aspects of the vehicle, generating an immense amount of data that is processed on the go. This transformation is creating an unprecedented set of challenges for OEMs. Edge computing is a new paradigm that is changing how data is processed in these types of environments.

Innovate at speed with open source AI

AI is swiftly changing our lives in many invisible ways - from the movies we watch and video games we play, all the way to real-time space tracking. New tools and applications pop up all the time, but keeping up with all this innovation is difficult. Which tool chains should you use and which platforms should you build on? Canonical helps you innovate at speed with easy-to-use solutions that benefit from long-term support.

Netplan brings consistent network configuration across Desktop, Server, Cloud and IoT

We released Ubuntu 23.10 ‘Mantic Minotaur’ on 12 October 2023, shipping its proven and trusted network stack based on Netplan. Netplan is the default tool to configure Linux networking on Ubuntu since 2016. In the past, it was primarily used to control the Server and Cloud variants of Ubuntu, while on Desktop systems it would hand over control to NetworkManager.

Bringing automation to telco edge clouds at scale

Canonical and Spectro Cloud have collaborated to develop an effective telco edge cloud solution, Cloud Native Execution Platform (CNEP). CNEP is built with Canonical’s open source infrastructure solutions and Spectro Cloud’s Palette containers-as-a-service (CaaS) platform. This technology stack empowers operators to benefit from the cost optimisation and agility improvements delivered by edge clouds in a highly secure and performant way.

InoNet and Canonical partner for seamless Edge AI deployment

InoNet Computer GmbH, a Eurotech Company, known for engineering and manufacturing of embedded systems and Edge AI computers, has entered into a strategic partnership with Canonical, the publisher of Ubuntu. Together they are set to deliver a robust platform for deploying IoT solutions, introducing cutting-edge Ubuntu certified computers.

What is MLflow?

MLflow is an open source platform, used for managing machine learning workflows. It was launched back in 2018 and has grown in popularity ever since, reaching 10 million users in November 2022. AI enthusiasts and professionals have struggled with experiment tracking, model management and code reproducibility, so when MLflow was launched, it addressed pressing problems in the market. MLflow is lightweight and able to run on an average-priced machine.