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It's no secret that IT operations is a complex area. Teams face demanding workloads, where many tasks have to be completed quickly. Objectives typically focus on smooth and resilient operations, and enabling fast innovation to support organizational needs. In their distinct role, security teams must manage risk and compliance, respond quickly to incidents, protect data, and govern access. All these priorities must be simultaneously met, and this leaves the ITOps and SecOps teams searching for the best ways to collaborate. In this article, This article provides an overview of how Red Hat Ansibl

At the OpenShift Commons Gathering in Amsterdam on March 23—a Day Zero event for KubeCon + CloudNativeCon Europe 2026—attendees got a deep look into the engine room of 1 of Turkey's largest private banks. Emirhan Bilge Bulut, an Expert System Engineer at Garanti BBVA, joined Gokhan Goksu, a Senior Solution Architect at Red Hat, to discuss the unglamorous but essential infrastructure management required to support 30 million customers and 1.2 billion daily transactions. Figure 1. Emirhan Bilge Bulut, an Expert System Engineer at Garanti BBVA, joined Gokhan Goksu, a Solution Architect at Red

Amazon Linux 2 reaches end of life (EOL) on June 30, 2026. If your migration isn't already underway, the window to move deliberately rather than reactively is narrowing. Migrating business-critical workloads to a supported operating system (OS) takes real time. Legacy runtimes, compliance requirements, and limited change windows all affect how quickly you can move.When evaluating your next steps, don't just ask “What do we migrate to?” Consider what kind of long-term Linux strategy you want to build. How you answer that question will shape not just this migration, but how smoothly your inf

We’re moving beyond simple prompts. The next frontier is agentic AI: autonomous systems that don’t just talk, but act across your enterprise. But as we move into this era, I’m hearing a consistent concern from our customers: How do we adopt these agents without losing control of our infrastructure or our data?In the Forrester report, “Understand your agentic AI platform options,” there is a vital takeaway: agentic AI is a portfolio problem. Many organizations are falling into the trap of trying to centralize their AI under a single, proprietary vendor. At Red Hat, we believe that pat

InfoWorld - IBM and Red Hat want to become the ‘security clearinghouse’ for open source applications in the enterpriseInfoWorld looks at IBM and Red Hat's Project Lightwell, a $5 billion initiative backed by 20,000 engineers to act as an AI-powered security clearinghouse for enterprise open source software. The program aims to accelerate the discovery and remediation of vulnerabilities by safely backporting validated fixes directly into active production environments without causing disruptive upgrades. Learn more The future of AI demands a hybrid foundationRed Hat's Andrew Brown argues th

In the dynamic digital landscape of the Middle East, we are seeing a shift from AI experimentation to production-ready innovation. This transition is becoming a key factor in driving national competitiveness and economic resilience across the region.The opportunity ahead is significant. Projections suggest AI could contribute USD 320 billion to the Middle East’s economy by 2030, with Egypt expected to generate nearly 8% of its GDP from AI in the same timeframe.However, capturing this value requires navigating a marketplace defined by contrast. The region is a mosaic of digital ambitions wher

Telecommunications (telco) service providers face a landscape of massive operational complexity. As they adopt 5G standalone architectures and multivendor radio access networks (RANs), they must manage billions of events across hundreds of thousands of network elements every day. Manual, script-based operations are no longer sufficient to keep pace with these demands.Transitioning to an autonomous intelligent network is now a foundational requirement for service providers to remain competitive. This shift addresses 3 critical priorities for executive leadership:Creating new revenueReducing cos

As we at Red Hat continue to evolve our products, we are also transforming how you consume the information needed to run them. We are excited to announce a wave of significant enhancements coming to the Red Hat documentation experience at docs.redhat.com.These changes are rolling out over time, with the documentation for Red Hat Ansible Automation Platform 2.6 serving as the pioneer for this new look and feel. Here’s a breakdown of what you can expect and how these changes will improve your workflow.Finding your way: Unified table of contentsOne of the most noticeable updates is the introduc

It’s no surprise that AI has altered the technology landscape and added more complexity for IT teams. And when it comes to vulnerability management and patching, scheduled security is now outpaced by AI-detected vulnerabilities. This new complexity means our traditional, time-bound routines have become a liability—creating a lag time between threat discovery, containment, and remediation.Anthropic’s recent Project Glasswing update proves what security teams have known for a while: The traditional patch cycle simply doesn't work when exposures are discovered at machine speed. Anthropic st

Future historians will remember spring 2026 as the dawn of AI-driven security vulnerability reporting. On April 7, Anthropic announced a preview of its Claude Mythos AI model, made available to select companies as part of Project Glasswing. The initiative claimed it had discovered thousands of high and critical severity vulnerabilities across the open source ecosystem. Three weeks later, the Xint initiative announced a Linux kernel local privilege escalation vulnerability it named Copy Fail. A few days later, the world woke up to another vulnerability named Dirty Frag, and then another named F

Every day, I talk to IT executives, commercial leaders, and partners who are facing the exact same pressure: How do we move from AI experimentation to true enterprise production?If you glance at the tech headlines today, you’d think the answer is simple. The industry has become utterly obsessed with the concept of agentic AI—the promise of autonomous software agents executing complex corporate workflows with the flick of a switch. The mainstream narrative treats AI like a standalone magic box. Buy the right proprietary model, plug it in, and watch your operational headaches vanish.But out

Red Hat OpenShift Virtualization 4.21 introduces highly anticipated networking design flows to simplify network management. Tailored to VM network requirements, this complete workflow lets you more efficiently create networks, configure them on specific nodes, and provide reliable access to virtual machines (VMs). The new workflow helps create complex configurations by breaking them into smaller, simpler steps, while still providing the same functionality.Explore the highlights of these networking enhancements:Centralized physical networks pageA physical network is a logical entity that was ad

A couple of weeks ago, I wrote about Copy-Fail (CVE-2026-31431) and how Red Hat OpenShift’s defense-in-depth approach prevented container escape despite a vulnerable kernel. I spent time actively trying to break out of an OpenShift container, achieved root inside the pod almost immediately, and still couldn’t escape to the host. The kernel vulnerability was real. The exploit path was real. The defenses still held. While I was wrapping up this article, another related variant, DirtyDecrypt (CVE-2026-31635), started circulating publicly alongside exploit discussion and proof-of-concept cover

Industrial teams are eager to implement AI in critical locations: on factory floors, at logistics hubs, in remote field operations, and as the intelligence driving robots. However, a significant number of such projects fail to move past the pilot phase. The primary obstacle is seldom the AI model itself. More often, challenges arise from the reality of edge environments, which are characterized by limited resources, inconsistent connectivity, and hard-to-access systems, often without local technical support. Red Hat Device Edge addresses this problem by delivering operational consistency for f

As agentic systems become common in the enterprise, it's clear to anyone concerned about sovereignty in AI factories: Inference is the hard part to scale.One of the many benefits of a sovereign cloud is agency in how you accomplish your operations. Sovereign AI means you have control over the agents in your applications, workflows, and value delivery chain. Much of agent behavior is dependent on interactions with the model, so a truly sovereign agentic system requires sovereign inference - which in turn demands accelerators and AI models that are fully under your control.For flexible and gener

Modern enterprise networks demand speed, consistency, and absolute resilience. Relying on manual, time-consuming network management tasks is no longer a viable strategy for organizations seeking true operational efficiency. To overcome these bottlenecks, IT leaders are turning to Red Hat Ansible Automation Platform and Cisco Catalyst Center and the solution this partnership provides.By taking advantage of ready-to-use, Red Hat Ansible Certified Content, organizations can embrace NetOps-as-Code to manage network infrastructure as version-controlled, repeatable code, scaling modern network opera

For a Chief Information Officer (CIO) or VP of Infrastructure, the term "digital sovereignty" often arrives as a regulatory burden to support a collection of acronyms like DORA (the EU Digital Operational Resilience Act), NIS2 (the updated Network and Information Security Directive), and PDPA (the Personal Data Protection Act) that require more checklists and audits. This begs the question, is viewing sovereignty through a purely legal lens a strategic mistake? Red Hat’s point of view has just been published in our recently released article, Red Hat Strategic Approach to Compliance, Sovereig

IBM and Red Hat Commit $5 Billion to Redefine the Future of Open Source in the AI EraIBM and Red Hat committed $5 billion to Project Lightwell, deploying over 20,000 engineers and advanced AI. This enterprise clearinghouse actively identifies and remediates open source vulnerabilities across the software supply chain. Learn more Red Hat Summit 2026 keynotes and product spotlight sessionsTune into Red Hat TV to watch the keynotes and product summary sessions from Red Hat Summit 2026. Learn more SD Times - Rethinking the AI gold rush: Industry leaders warn of the “agentic paradox”As organ

I've had this conversation dozens of times with infrastructure teams. They've just finished, or are deep into, a VM migration off a legacy hypervisor. The hard part is nearly done. Or, so they think.Here's the thing most people don't talk about: migration itself is the easy part. It's tactical. It has a clear beginning, middle, and end. What comes after, actually modernizing how you run your infrastructure, that's where the real work lives, and honestly, where most of the value is.The industry shifts driving these migrations represent a strategic opportunity for modern infrastructure. By addre

As enterprise IT organizations push deeper into operationalizing AI, the conversation has shifted from theoretical capability to hard execution metrics. Whether your team is talking with customers about scaling large language models (LLMs) on restricted local hardware, navigating the real-world performance numbers of distributed inference, or shielding proprietary model weights, the underlying goal remains the same: building a predictable, highly security-focused foundation that returns clear business value. This month’s roundup brings you the critical architecture analyses, benchmark realit