Operations | Monitoring | ITSM | DevOps | Cloud

Building a dry-run mode for the OpenTelemetry Collector

Teams continuously deploy programmable telemetry pipelines to production, without having access to a dry-run mode. At the same time, most organizations lack staging environments that resemble production – especially with regards to observability and other platform-level services.

The fallacy of complacent distroless containers

Join us on our deep dive into Chisel: the tool that brings enterprise-grade traceability to ultra-minimal container images. In this video, we explain why Chisel was created, and how it helps address security challenges in modern container images. We cover why container images often include unnecessary software and dependencies, why building minimal distroless containers can be difficult, and how missing metadata can lead to false confidence in vulnerability scans.

The bare metal problem in AI Factories

As AI platforms grow in scale, many of the limiting factors are no longer related to model design or algorithmic performance, but to the operation of the underlying infrastructure. GPU accelerators are key components and are responsible for a large part of the total system cost, which makes their continuous availability and stable operation critical to the output and efficiency of the entire AI platform.

Sovereign clouds: enhanced data security with confidential computing

Increasingly, enterprises are interested in improving their level of control over their data, achieving digital sovereignty, and even building their own sovereign cloud. However, this means moving beyond thinking about just where your data is stored to thinking about the entire data lifecycle. In this blog, we cover the differences between data residency and data sovereignty, how confidential computing works to enhance the security of your data, and can support you in achieving digital sovereignty.

Cloud-native Android infotainment: your CI pipeline shouldn't depend on hardware

More and more often, infotainment systems are being developed and delivered like software, yet often they are still tested and validated using hardware-centric processes. This is far from ideal: access to devices is limited, environments are difficult to reproduce, and iteration slows down as soon as multiple teams need to work in parallel. These challenges become even more visible as cockpit systems move toward wide displays and high resolutions.

Canonical and Ubuntu RISC-V: a 2025 retro and looking forward to 2026

2025 was the year that RISC-V readiness gave way to RISC-V adoption. It’s been quite a journey. What began years ago as early architectural exploration and enablement has matured into real silicon, systems, and deployments. In particular, RVA23 provides a stable and predictable baseline we can align on with our wider ecosystem of partners. At Canonical, we’re committed to making RISC-V a viable option for anyone who wishes to adopt it.

Unmasking the Resolute Raccoon

You’ve almost certainly seen them… In the forest, rummaging through a dumpster, in poorly aging millennial memes. Raccoons are ubiquitous and endlessly entertaining creatures. YouTube and TikTok are full of videos documenting their clever antics and escapades. One such intrepid raccoon gained fame for making their way to the most unlikely places, from liquor stores to karate studios.

Building quantum-safe telecom infrastructure for 5G and beyond

At MWC Barcelona 2026, coRAN Labs and Canonical are presenting a working demonstration of a cloud-native, quantum-safe telecom platform for 5G and beyond 5G networks. This is not a conceptual exercise. It is a full 5G System (5GS) deployment with post-quantum cryptography embedded across the stack – from radio access to core, from transport interfaces to orchestration and public key infrastructure (PKI).