Operations | Monitoring | ITSM | DevOps | Cloud

Why we brought hardware-optimized GenAI inference to Ubuntu

On October 23rd, we announced the beta availability of silicon-optimized AI models in Ubuntu. Developers can locally install DeepSeek R1 and Qwen 2.5 VL with a single command, benefiting from maximized hardware performance and automated dependency management. Application developers can access the local API of a quantized generative AI (GenAI) model with runtime optimizations for efficient performance on their CPU, GPU, or NPU.

Why SELinux Matters in Enterprise Security

When evaluating cybersecurity products, it's easy to focus on surface-level features like dashboards, alerts and integrations. But real strength often lies more deeply, in the architecture itself. One embedded capability that demonstrates rigorous security design principles is Security-Enhanced Linux (SELinux). Originally developed by the U.S. National Security Agency (NSA) and released to the open-source community, SELinux is a mandatory access control (MAC) framework built into the Linux kernel.

Experimenting With Different Scripts

It all began when I spun up an AWS t4g.small burstable instance for a side project. Nothing unusual just another day in the cloud. But the moment I connected through SSH, something caught my eye. The system greeted me with a temperature reading of -273.5°C. Wait… what? That’s 0 Kelvin, the point where atomic motion completely stops. In other words, absolute zero , a state that’s theoretically impossible for anything to operate in.

How to check CPU usage on Linux

When your Linux system feels sluggish, one of the first things to investigate is the CPU usage. The CPU (Central Processing Unit) is the brain of your machine, and if it’s overloaded, everything else slows down. In this guide, you’ll learn different ways to Linux check CPU usage with command-line tools, how to interpret the metrics, and why automatic monitoring with Icinga ensures long-term system stability.

Monitor Slurm with Datadog

Slurm (Simple Linux Utility for Resource Management) is an open source workload management system used to schedule jobs and manage resources for high-performance computing (HPC) Linux clusters. It ensures that jobs and resources are scheduled fairly and efficiently and is scalable across large clusters, an issue that native Linux process management tools struggle with.