Operations | Monitoring | ITSM | DevOps | Cloud

Is open-source as secure as proprietary software?

We’re surrounded by news of data breaches and companies being compromised, and the existential threat of ransomware hangs over just about every organisation that uses computers. One of the consequences is that we are hassled by an ever-increasing number of software updates, from phones and computers to vacuum cleaners and cars; download this, restart that, install the updates.

Secure open source MLOps for AI/ML applications in financial services

The adoption of AI/ML in financial services is increasing as companies seek to drive more robust, data-driven decision processes as part of their digital transformation journey. For global banking, McKinsey estimates that AI technologies could potentially deliver up to $1 trillion of additional value each year. But productionising machine learning at scale is challenging.

Canonical Experiences Continued Channel Business Growth and Momentum, Regis Paquette Named 2023 CRN Channel Chief

6 February 2023 – Canonical, the publisher of Ubuntu, announced today that it doubled revenue for its Channel/Reseller Program in 2022, grew its active reseller base by more than 50%, and grew the overall channel business by 70%. Canonical is an industry leader in open source private clouds, the reference platform for all major public clouds. The Ubuntu operating system is the most widely used Linux distribution that runs on the desktop, workstations, and all internet connected things.

From model-centric to data-centric MLOps

MLOps (short for machine learning operations) is slowly evolving into an independent approach to the machine learning lifecycle that includes all steps – from data gathering to governance and monitoring. It will become a standard as artificial intelligence is moving towards becoming part of everyday business, rather than an innovative activity.

Multipass 1.11 brings enhanced performance for Linux on Mac and Windows

This release has some particularly interesting features that we’ve been wanting to ship for a while now. We’re excited to share them with you! For those who aren’t familiar with Multipass, it’s software that streamlines every aspect of managing and working with virtual machines. We’ve found that development, particularly for cloud applications, can often involve a huge amount of tedious work setting up development and testing environments.

How Ubuntu Pro delivers enhanced security and manageability for Linux Desktop users

At the end of last year Canonical announced that Ubuntu Pro, our expanded security maintenance and compliance subscription, is now available for data centers and desktops as a public beta. This week, Ubuntu Pro entered general availability, giving Ubuntu users access to extra hardening and security patching. If you’re a developer using Ansible, Apache Tomcat, Apache Zookeeper, Docker, Nagios, Node.js, phpMyAdmin, Puppet or Python 2, you’ll want to read on.

Ubuntu Pro enters general availability

Ubuntu Pro, Canonical’s comprehensive subscription for secure open source and compliance, is now generally available. Ubuntu Pro, released in beta in October last year, helps teams get timely CVE patches, harden their systems at scale and remain compliant with regimes such as FedRAMP, HIPAA and PCI-DSS. The subscription expands Canonical’s ten-year security coverage and optional technical support to an additional 23,000 packages beyond the main operating system.

How digital twins enable data-driven automotive supply chains

The automotive industry is facing one of its biggest revolutions since the advent of automation. In this post, we will go through the Industry 4.0 aspects and how OEMs can turn these challenges into opportunities. To put it simply, the first Industrial Revolution relied on steam power, the second one on electricity and the third one on computers. What about the fourth Industrial Revolution everyone is talking about? I would describe it as a data-driven revolution.

What is MLOps going to look like in 2023?

While AI seems to be the topic of the moment, especially in the tech industry, the need to make it happen in a reliable way is becoming more obvious. MLOps, as a practice, finds itself in a place where it needs to keep growing and remain relevant in view of the latest trends. Solutions like ChatGPT or MidJourney dominated internet chatter last year, but the main question is…What do we foresee in the MLOps space this year and where is the community of MLOps practitioners focusing their energy?