Operations | Monitoring | ITSM | DevOps | Cloud

Why open source might be the best move for ISVs

Why do ISVs choose to partner with Canonical? Canonical’s promise to deliver secure, open source software empowers Independent Software Vendors (ISVs) to focus on building and improving their products every day. We help vendors meet regulatory compliance, reduce their environmental footprint through containerization, and stay ready for the future.

Real-time OS examples: use cases across industries

In sectors where precision and predictability are non-negotiable, timing is everything. Whether coordinating robotic arms on a factory floor, maintaining ultra-reliable latency in telecom networks, or ensuring an automotive braking system responds instantly, the success of these systems depends on meeting strict timing deadlines.

Open Source Data Lakehouse Architecture with Spark and Kyuubi: Engineering Deep Dive

Subscribe. Fuel your curiosity. This webinar gives a detailed exploration of an open source data lakehouse architecture and how we implement it at Canonical. Watch to discover how Spark’s scalable processing engine and Kyuubi’s user-friendly SQL gateway enable efficient, secure, and high-performance analytics on unified data sets. Let’s dig deeper into how this combination simplifies big data storage, interactive analytics, and ETL – all through a single, streamlined open source lakehouse architecture.

A complete security view for every Ubuntu LTS VM on Azure

Azure’s Update Manager now shows missing Ubuntu Pro updates for all Ubuntu Long-Term Support (LTS) releases: 18.04, 20.04, 22.04 and 24.04. The feature was first introduced for only 18.04 during its move to Expanded Security Maintenance. With this addition, Azure highlights where Ubuntu LTS instances would benefit from Expanded Security Maintenance updates if the administrator attaches an Ubuntu Pro license, even for instances running more recent Ubuntu releases.

LTS vs. upgrades: which future are you building for?

How should businesses decide between sticking to an LTS release or moving to a continuous upgrade model? In this episode, we explore the trade-offs, from stability and security to innovation and agility, and why flexibility in your upgrade policy is key to long-term success. We break down when LTS makes sense, when frequent upgrades deliver the most value, and how to balance both to keep your business secure, stable, and ready for what’s next.

A CISO's guide to Application Security best practices

When most people think about the most important ingredients of software, Application Security (AppSec) is unlikely to be at the top of the list… but it should be. Without AppSec, you face severe risks of data breaches, massive fines, enraged users, and severe financial losses.

Getting closer to space with Canonical #ubuntu #space #shorts

@EuropeanSpaceAgency is scaling to support more missions than ever. Canonical makes it possible with open source infrastructure built for space. Watch the full video to see how we're helping ESA automate, scale, and future-proof its operations. Subscribe for more tech stories from space.

What craft means for Canonical

Last month Jon Seager (our Vice President for Ubuntu Engineering) wrote about crafting software: Multiple Canonical products have craft in their names: Snapcraft, Charmcraft, Rockcraft (and there are others in the works). Our craft products are tools for making software, for the software craftsperson. To be a maker of tools comes with responsibilities – when you decide what tools should be like, you are also deciding how people should work.

Building your AI infra, our tips

Modular architecture: Decouple compute from storage so each can scale independently. This makes it easier to adapt to growing or shifting workloads over time. Future-ready hardware: Select GPUs and CPUs not just for current workloads but with an eye on scalability, including support for newer accelerator types. Scalable design: Ensure the system allows seamless addition of compute nodes or storage without a full redesign.

Running AI without blowing up your storage

Storage is often underestimated: In infrastructure discussions, compute and networking get most of the attention, while storage is treated as secondary. For AI workloads, that can be a costly oversight. Data throughput for specialized hardware: AI infrastructure powered by GPUs can process massive volumes of data at unprecedented speeds. This puts immense pressure on the storage system to keep up. Scale-out performance: An on-prem, scale-out, software-defined storage setup allows you to meet high performance demands, grow capacity as needed, and stay in control of infrastructure costs.