Top Red Hat Blog articles of the year! (So far…)

Ready to explore the latest in tech and open source? Here are ten must-read Red Hat Blog articles from the first half of 2024, including virtualization, artificial intelligence (AI), Linux training, and platform engineering. Whether you're an enthusiast or a seasoned professional, you'll find something here to help you stay up-to-date with the latest technology and industry trends.

Getting hands-on with Red Hat OpenShift Virtualization

You can explore Red Hat OpenShift Virtualization with a hands-on lab. OpenShift Virtualization allows you to migrate a traditional virtual machine (VM) and manage it as part of your unified hybrid cloud. Our workshop covers creating a new VM, managing storage and network configurations, and how to migration existing VMs. If you're ready to boost your virtualization skills, read more here.

How to get started with InstructLab today

InstructLab puts you in control of AI. This open source project lets you customize a large language model (LLM), or even build your own. This article shows you how to share your expertise by creating taxonomies of skills and knowledge, run an AI locally with the ilab command, and how to contribute code to the project itself. InstructLab helps you build AI that is more reliable, private, and accessible. Dive into the open source AI world, and start shaping the future. Ready to get started? Read more here.

What is RHEL AI? A guide to the open source way for doing AI

Chart the course of your AI journey with Red Hat Enterprise Linux AI (RHEL AI). This open source platform helps you develop, test, and run AI models quickly and seamlessly. With community-driven innovation, user-friendly tools, and robust enterprise support, RHEL AI empowers subject matter experts to contribute directly to AI models. Experiment with a bootable RHEL image optimized for your hardware, and scale up to production effortlessly. Curious to learn more? Read the full article here.

Patch management needs a revolution, part 1: Surveying cybersecurity’s lineage

The old "patch all things" method is outdated and ineffective. It's time to shift to a risk-based strategy, focusing on comprehensive risk assessments and resource prioritization. This first in a five part series looks at the evolution of cybersecurity and the need to modernize patch management practices. Here you'll learn how to evaluate your cybersecurity policies and to adopt a smarter approach to patching. Ready for improvement? Read more here.

4 use cases for AI in cybersecurity

In this article, you'll discover four innovative AI use cases in cybersecurity. Learn how AI can help detect anomalies, enhance cyber threat intelligence, assist in code scanning, and automate vulnerability discovery. These methods can help you intercept threats before they become an attack, streamline processes, and improve your organization's security posture. Ready to embrace modern cybersecurity? Read more here.

What to expect in the next era of artificial intelligence in banking

AI is transforming banking. Financial institutions are using AI for customer service, and to streamline operations and enhance risk management. With these advancements come challenges, however, including data privacy and integration. Red Hat's solutions, like OpenShift AI, provide tools to help scale AI effectively and efficiently. Read more here.

Learn Linux in 2024: New Red Hat training course

Start your Linux journey with Red Hat's new RH104 course! This beginner-friendly training covers Linux basics, from desktop navigation to command-line essentials. Perfect for new systems administrators, Red Hat OpenShift admins, or anyone interested in Linux, the course provides a solid foundation for further learning in  software development, cluster management, cloud administration, and more. Ready to expand your tech skills? Read more here.

Evaluating LLM inference performance on Red Hat OpenShift AI

Learn how OpenShift AI's scalable MLOps platform optimizes GPU usage and reduces costs, and improves the process of developing and deploying AI models. See how Red Hat's Performance and Scale for AI Platforms team evaluates LLM inference performance on Red Hat OpenShift AI. See how Red Hat's Performance and Scale for AI Platforms team evaluates LLM inference performance on Red Hat OpenShift AI.   Read more here.

Image mode for Red Hat Enterprise Linux: A quick start guide

Red Hat's image mode for RHEL simplifies operating system (OS) deployment using the same tools, skills, and patterns as containerized applications. Learn to package OS images as Open Container Initiative (OCI) containers, simplifying build, ship, and run processes. This quick start guide covers Podman installation, creating, and testing Containerfiles, and different deployment methods including KVM and QEMU and AWS. Dive into modern OS management and streamline your infrastructure with these step-by-step instructions. Ready to master image mode for RHEL? Read more here.

DevOps and platform engineering: What's the difference?

Confused about the difference between DevOps and platform engineering? This article breaks it down! DevOps focuses on integrating development and operations teams to enhance collaboration and to streamline processes. Platform engineering, on the other hand, provides developers with self-service platforms, aiming to reduce friction and increase efficiency. Both of these play crucial roles in modern software development, but their approaches and priorities differ. Read more here.

Read all about it

These ten articles from the Red Hat Blog highlight the latest in Linux, virtualization, AI, cybersecurity, and more. Sharpen your skills with new training courses, and explore cutting-edge technologies shaping the futur. These articles are packed with insights and practical knowledge. Happy reading!