Just a few years back, developing AI/ML (Machine Learning) models was a secluded endeavor, primarily undertaken by small teams of developers and data scientists away from public scrutiny. However, with the surge in GenAI/LLMs, open-source models, and ML development tools, there’s been a significant democratization of model creation, with more developers and organizations engaging in ML model development than ever before.

20 years in the making. Ubuntu 24.04 LTS brings together the latest advancements from the Linux ecosystem into a release that is built to empower open source developers and deliver innovation for the next 12 years.

Ubuntu 24.04 LTS builds on the advancements of the last three interim releases as well as the contributions of open source developers from around the world to ensure a secure, optimised and forward looking platform. “Ubuntu 24.04 LTS takes a bold step into performance engineering and confidential computing to deliver an enterprise-grade innovation platform, supported for at least 12 years”, said Mark Shuttleworth, CEO of Canonical.

In the fast-paced world of technology, innovation is not just a buzzword—it's a necessity. As organizations strive to stay ahead of the curve and deliver cutting-edge solutions, they must foster a culture that empowers engineers to drive change and lead transformative projects. Throughout my career, I have witnessed firsthand the impact that empowered engineers can have on an organization, and I believe that unlocking their potential is key to achieving long-term success.

Code reviews can quickly become code catch-ups – you’re sifting through countless commits, trying to understand the story behind a particular piece of code. Who made this change? When was this pushed? Which files were modified? These blockers can make code reviews feel like wasted time digging through the project’s commit history. That’s where GitLens comes into play, providing powerful Git functionalities right into VS Code.

In the last years, Kubernetes has grown tremendously and is considered by most companies to be the best platform to run applications today. In simple words, Kubernetes is an open-source container orchestration platform that allows you to run and manage containerized applications at scale. In this article, I will explain how you can run Kubernetes on AWS in 3 different ways. But before getting down the road, let me explain why it does make sense to run Kubernetes on AWS.

In recent years, sustainability has become a top priority for industries worldwide, and the data centre sector is no exception. As governments strive to reduce carbon footprints and mitigate climate change, regulatory directives such as the Energy Efficiency Directive (EED) and the Corporate Sustainability Reporting Directive (CSRD) are playing a crucial role in reshaping how data centres operate and manage their environmental impact.

ZenOps and StackState announce a partnership for the distribution in France of StackState solutions for Kubernetes problem detection and resolution, observability of containerized environments and application performance management. ZenOps will be able to offer these solutions to enterprises and the public sector, drawing on its technical expertise in cloud-native approaches and providing first-level support.