Red Hat News

Picture this: You're working late to troubleshoot a production issue and an AI assistant suggests a fix in seconds. Problem solved, right? Not quite. While it seems like it should be easy to use AI assistance, where do you start? What's your prompt? How do you find the issue within the system? AI tools and other large language models are transforming our daily workflows, helping with everything from debugging scripts to generating boilerplate code in seconds, but you still have to know how (and when) to use them.This raises a valid question for many IT practitioners—with so much knowledge at

In this October roundup, we cut through the noise to focus on the essential technical blueprints and policy foundations required to succeed. These articles, from key platform updates and critical security integrations to the future of open source legality, represent the core strategic reading for Q4. We highlight how Red Hat Ansible Automation Platform 2.6 streamlines operations, how Red Hat AI 3 and its intelligent control plane transform GPU infrastructure, and how our strategic partnership with NVIDIA simplifies the AI software stack. This is the quarter for planning that prepares your orga

Data Processing Units (DPUs) represent a significant evolution in datacenter architecture. By offloading infrastructure tasks like networking, security, and storage from the main CPU, they promise to unlock new levels of cloud capabilities. Red Hat OpenShift 4.20 delivers a major breakthrough in solving the primary challenge of DPU adoption: vendor lock-in.This new capability provides unified, vendor-agnostic support for different DPUs, all within a single cluster. This is the result of our focused, standards-based strategy. We began this journey by introducing tech preview support for the fir

AI has fundamentally disrupted the predictable rhythm of technology progression, forcing enterprises into an era of relentless, chaotic innovation. As a result, relying on resiliency—the ability to bounce back from disruption—is no longer enough. Organizations must focus on developing both adaptability and durability.AI is the ultimate stress test. The technology itself is not the greatest barrier—adopting and deploying AI exposes existing weaknesses in an organization's cultural, strategic, and technological foundations. Successfully implementing AI at scale demands building an enterpri

If the platform team vanished tomorrow, what would developers miss: The tools, or the feeling that getting work done was straightforward and safe? Many organisations run platforms that look healthy: Uptime holds, pipelines run, dashboards glow green. Yet delivery still drags, tickets stack up, teams build side‑doors around "the system." Wins exist, but they're invisible. The problem isn’t reliability, it's the experience of shipping. The answer is a practical shift: Treat the platform like a product that enables people. Ship changes like product teams do, design one clear delivery path, an

Telecommunication service providers face the challenge of maximizing return on investment (ROI) on massive 5G investments. Efficient infrastructure deployment is particularly difficult in areas with real-time demand fluctuations, such as stadiums and tourist spots. One key challenge lies in comprehending usage patterns and connectivity performance from the end-user's perspective. A new paradigm is emerging: Customer and AI-driven network investments. This paradigm is being realized as a TM Forum catalyst project to build an AI-driven platform for network investments. Imagine every customer's d

Techaisle - Red Hat’s AI Platform Play: From "Any App" to "Any Model, Any Hardware, Any Cloud"Red Hat's AI 3 strategy aims to be the "Linux of enterprise AI," offering an open, standardized platform to solve the complexity and cost of AI adoption by connecting any model, any hardware, any cloud. Learn more Red Hat Introduces Project Hummingbird to Accelerate Cloud-Native Development and “Zero-CVE” StrategiesProject Hummingbird is an early access program providing minimal, hardened container images for subscription customers. The goal is to accelerate cloud-native development by offerin

The Asia-Pacific (APAC) region is witnessing an unprecedented surge in demand for skilled professionals in open source technologies, a field largely new to many students. Red Hat Academy is at the heart of bridging this knowledge gap, redefining how students gain practical skills and connect with industry opportunities. With over 1,360 academic institutions across 25 countries and approximately 37,000 students trained so far in 2025, Red Hat Academy is more than a program—it’s a catalyst for impact, creating pathways for the next generation of open source innovators.As a Red Hat Technical

We are 2 years in on a strategic shift in virtualization. Although this shift created some initial panic, most customers have taken advantage of this shift as an opportunity to make a more strategic decision on where they want to go on their virtualization journey.Red Hat OpenShift Virtualization is built on innovation, where customer needs inspire our engineers to deliver high-impact solutions to help them move from concept to general availability in a matter of months, not years. It’s no surprise that this commitment to rapid, customer-focused innovation earned OpenShift Virtualization the

Red Hat Lightspeed (formerly Red Hat Insights) has long helped operations teams detect risks, open tickets, and share findings with the right tools, connecting proactive intelligence to everyday workflows.Much has changed, not only in Red Hat Lightspeed itself, but also in how organizations are using it. Across industries, teams have built custom dashboards, reporting portals, and IT service management (ITSM) integrations powered by the Red Hat Lightspeed API. Others have connected Red Hat Lightspeed data into continuous integration and delivery (CI/CD) pipelines, monitoring environments, and

This series takes a look at the people and planning that went into building and releasing Red Hat Enterprise Linux 10. From the earliest conceptual stages to the launch at Red Hat Summit 2025, we’ll hear firsthand accounts of how RHEL 10 came into being.Part 1 | Part 2In our previous installment of the story of how Red Hat Enterprise Linux (RHEL) 10 came to be, we learned about a new approach to building the platform. In part 3, the team focuses on the delicate balancing act of keeping thousands of moving parts in sync while features like image mode and RHEL Lightspeed (and the stories we’

The migration toolkit for virtualization 2.10 (MTV) is now generally available and expands on capabilities introduced in the recent release to better support your virtual machine (VM) migration journey with minimal downtime and reduced risk. With updates to storage offloading, your organization can efficiently plan and execute your VM migrations with MTV 2.10.Faster migrations, greater confidence with storage offloadingSpeed is a critical component of a VM migration. Storage offloading is now available in Technology Preview in MTV 2.10. For large-scale migrations, network bandwidth is often a

Red Hat OpenShift Virtualization 4.20 is now generally available, helping organizations modernize their virtualization strategy with greater speed and confidence through expanded platform availability, enhanced virtual machine (VM) management, and new capabilities for hybrid cloud infrastructure. With networking enhancements, optimized live migration, and improved user experience, OpenShift Virtualization 4.20 enables teams to deliver more agile, cloud-ready, and consistent operations wherever they choose to run their workloads.Our collaborations with customers and partners on their migration

Over the past several months, Red Hat has been diving into one of the most significant shifts in our industry: the practical, large-scale adoption of generative AI (gen AI) within a major engineering organization. We are not unique in this journey, but at Red Hat, "in the open" isn't just a development model—it's our culture. We believe it's important to share what we're doing, what we're learning, and how we see this shaping the future of open source collaboration.To be clear, this isn't a publicity piece about a single, perfect tool or an instant success. It's a story about culture, choice

The industrial world runs on timing and consistency. In manufacturing and operations, a predictable outcome isn't a nice-to-have; it's the core promise of the industrial system itself. Whether you're managing complex motion control or critical process loops, network communication must be reliable and predictable. Time-sensitive networking (TSN) is the essential evolution of Ethernet that brings determinism and a guaranteed delivery schedule to a standard open industrial network.But here's the reality check for information technology (IT) and operations technology (OT) leaders: TSN is great fo

Generative AI demands infrastructure that’s not only powerful but repeatable, auditable, and scalable. From chat bots and content generation to intelligent automation agents, organizations are deploying AI at scale. But with this innovation comes complexity. In short, deploying generative AI isn’t just about models, it’s about managing the infrastructure and operations behind them reliably. The Red Hat Certified Collection, amazon.ai, addresses this problem by bringing infrastructure-as-code principles to AI and operational monitoring.The problem: Manual AI management doesn’t scaleEve

The Red Hat 2025 North America Public Sector Partner Pinnacle Awards recognize public sector partners for their continued efforts in developing innovative solutions using Red Hat technologies to meet the U.S. government’s needs and improve mission critical outcomes. In today’s dynamic digital landscape, collaboration between industry and government is essential for developing innovative, customized solutions that enable agencies to better serve citizens. This year’s Public Sector Partner Pinnacle Award winners exemplify that collaboration in action, turning strategic vision into measurab

We are thrilled to announce the general availability of Red Hat OpenShift Service Mesh 3.2. This release includes the general availability of Istio’s ambient mode—a new way of deploying service mesh without sidecars that significantly lowers the resource costs of using service mesh. This provides a low overhead solution for zero trust networking with lightweight pod-to-pod mTLS encryption and authorization policies based on workload identities, with the ability to add more advanced features as required.Based on the Istio, Envoy, and Kiali projects, this release updates the version of Istio

From remote offices to factory floors, organizations are extending their virtualization capabilities to where data is generated and consumed, unlocking new opportunities for innovation and efficiency. This shift to the edge brings a unique set of challenges, particularly for running virtualized workloads. How can you ensure the same level of resilience, performance, and simplicity for your virtual machine (VM) at the edge as you do in your core datacenters? The answer lies in a powerful combination of technologies: Red Hat’s new two-node OpenShift with arbiter architecture and Arctera's Info

In a modern cluster, the hardest problem isn’t running workloads—it's sharing resources fairly. Red Hat OpenShift clusters are seeing a surge of AI-accelerated workloads, from GPU-intensive training jobs to large batches of inference requests. At the same time, other tenants still need consistent throughput for their everyday CI/CD pipelines and data processing tasks. The result is a constant battle for resources, where some jobs wait too long, others consume more than their fair share, and administrators are left fighting bottlenecks.This is exactly the challenge that Kueue, a Kubernetes-