Operations | Monitoring | ITSM | DevOps | Cloud

To start securely and efficiently, Linux systems follow a carefully orchestrated sequence of steps to initialize firmware and manage services. Applying security patches to the software responsible for some of these early steps of Linux startup often requires a full system reboot.

The latest report from the International Data Corporation (IDC) co-sponsored by Canonical and Google Cloud indicates that 36% of organizations adopt open source to improve development velocity, and 7 in 10 organizations see open source as extremely important to run mission critical workloads. However as open source adoption grows, organizations face increasing difficulty in securing and maintaining their software supply chains.

The cybersecurity world has changed. Thanks to spreading risk of cyber attacks, malware, ransomware, and the intensifying pressure of new cybersecurity regulations and sky-high penalties for leaks and breaches, robust Application Security (AppSec) is non-negotiable. In this blog, you’ll learn how you can meet these challenges head on, and secure your operations and systems by focusing on the most fundamental aspects of your security posture.

The landscape of artificial intelligence is rapidly evolving, demanding robust and scalable infrastructure. To meet these challenges, we’ve developed a comprehensive reference architecture (RA) that leverages the power of open-source tools and cutting-edge hardware.

We’re pleased to release Ubuntu Security Guide profiles for CIS benchmarks. These profiles will allow customers to automatically harden and audit their Ubuntu 24.04 LTS systems, in conformance with the benchmarks.

The world of edge AI is rapidly transforming how devices and data centers work together. Imagine healthcare tools powered by AI, or self-driving vehicles making real-time decisions. These advancements rely on bringing AI directly to edge devices. However, building a robust architecture for diverse edge environments presents significant hurdles. This blog introduces our new reference architecture, designed to simplify edge AI deployment.

The landscape of generative AI is rapidly evolving, and building robust, scalable large language model (LLM) applications is becoming a critical need for many organizations. Canonical, in collaboration with NVIDIA, is excited to introduce a reference architecture designed to streamline and optimize the creation of powerful LLM chatbots. This solution leverages the latest NVIDIA AI technology, offering a production-ready AI pipeline built on Kubernetes.