Operations | Monitoring | ITSM | DevOps | Cloud

July 2020

Charmed OSM Release EIGHT available from Canonical

Canonical is proud to announce the general availability of OSM release EIGHT images in it’s Charmed OSM distribution. As of Release SEVEN, OSM is able to orchestrate containerised network functions (CNFs) leveraging Kubernetes as the underlying infrastructure for next-generation 5G services. Release EIGHT follows the same direction and brings new features that allow for the orchestration of a broader range of network functions and production environments.

Mitigating BootHole - 'There's a hole in the boot' - CVE-2020-10713 and related vulnerabilities

Today we released updates for a series of vulnerabilities termed ‘There’s a hole in the boot’ / BootHole in GRUB2 (GRand Unified Bootloader version 2) that could allow an attacker to subvert UEFI Secure Boot. The original vulnerability, CVE-2020-10713, which is a high priority vulnerability was alerted to Canonical in April 2020.

What can you do with MicroK8s?

MicroK8s was first released in late 2018 and has seen significant adoption rates from developers and enterprises alike ever since. Taking increasing demand and curiosity around the topic, we have already given an introduction to MicroK8s as well as covered how to deploy MicroK8s locally in previous blog posts. This time, we’ll take a look at MicroK8s’ applied value, by examining common MicroK8s use cases. Among others, this includes AI/ML workflows.

Best practices for an effective remote team in the world of cloud delivery

Just like countless other business functions, cloud delivery has now shifted entirely to remote working for now and perhaps longer term. Canonical has been a remote-first company for some time, so we thought we’d take this opportunity to share some of the best practices we’ve learned along the way. Communication Effective communication between customers, engineers, and project managers is the most critical element of successful cloud delivery.

Canonical launches enhanced GSI partner programme, bringing scalability and automation to modernise enterprise IT deployments

15 July 2020: Canonical, the publisher of Ubuntu, today announces the launch of its enhanced Global System Integrator (GSI) Programme. Alongside new partnership benefits, it includes resell and integration opportunities for the entirety of Canonical’s secure, open source portfolio for the data centre, multi-cloud, edge and IoT.

Robotics Recap: Learning, Programming & Snapping ROS 2

Robotics@Canonical puts a strong focus on the migration from ROS to ROS 2. ROS 2 benefits from many improvements, especially robot security. Our goal is to make it easy for you to transition to ROS 2, whether you’re completely new to ROS or a seasoned engineer retooling for a new environment. Your new platform should be secure-by-default, and we expect you’ll need to pivot between different environments as you migrate from ROS to ROS 2.

MicroK8s HA tech preview is now available

High availability (HA) for MicroK8s, the lightweight Kubernetes, is now available as a tech preview for Linux, Windows and macOS. The Kubernetes control plane can now be distributed across multiple nodes, bringing resiliency to the cluster while maintaining a low footprint using Dqlite, the distributed SQL engine as the Kubernetes datastore.

Encryption at rest with Ceph

Do you have a big data center? Do you have terabytes of confidential data stored in that data center? Are you worried that your data might be exposed to malicious attacks? One of the most prominent security features of storage solutions is encryption at rest. This blog will explain this in more detail and how it is implemented in Charmed Ceph, Canonical’s software-defined storage solution.

Data science workflows on Kubernetes with Kubeflow pipelines: Part 2

This blog series is part of the joint collaboration between Canonical and Manceps. Visit our AI consulting and delivery services page to know more. Kubeflow Pipelines are a great way to build portable, scalable machine learning workflows. It is a part of the Kubeflow project that aims to reduce the complexity and time involved with training and deploying machine learning models at scale. For more on Kubeflow, read our Kubernetes for data science: meet Kubeflow post.