Red Hat has updated the RISC-V Developer Preview
The initial release of the RISC-V Developer Preview, based on Red Hat Enterprise Linux (RHEL) 10.0, was in May 2025. Today, Red Hat is releasing a software refresh to that Developer Preview to update the code to RHEL 10.2. The hardware platform remains the same (SiFive HiFive Premier P550), but the new release contains more of the upstream code specifically for that platform as well as incremental upstream updates for support of the RISC-V instruction set architecture. Red Hat continues to work to integrate RISC-V support into the upstream community.The addition of the upstream code may enable
Architecting true autonomy with a level 4/5 network
To achieve higher tiers of autonomy as defined by the global telecom industry association TM Forum, service providers must move beyond simple and reactive automation scripts. The goal is to achieve closed-loop, intent-driven operations where networks self-optimize, self-heal, and adapt to high-level business goals with zero human intervention. Enterprise and telecommunication service providers face a clear challenge: they need a robust, scalable, and secure cloud and an AI-native foundation that seamlessly integrates with specialized service orchestration.Red Hat is collaborating with Tata Elx
Friday Five — June 12, 2026
The AI-enabled enterprise: Why we are applying software engineering principles to business operationsRed Hat is applying the concept of Business as Code to reshape its own business operations. Serving as "Customer Zero," Red Hat uses the same principles that govern software engineering to transform standard operating procedures into a scalable, compounding enterprise asset that drives real growth. Learn more What's New in Ansible Automation Platform 2.7Red Hat Ansible Automation Platform 2.7 builds on previous releases with more features and enhancements to help enable a platform engineering
Ansible Automation Platform 2.7: Visual Execution Environment Builder and Content Discovery Guide
When building and maintaining consistent execution environments, platform engineers and developers routinely lose valuable time identifying dependencies, tracking down content collections scattered across different repos, and wrestling with manual syntax configurations. With the release of Red Hat Ansible Automation Platform 2.7, these challenges have become a thing of the past. The execution environment builder and unified content discovery experience within the automation portal work together to dramat
Why platform engineering fails to scale: Product and adoption design in practice
Platform engineering can improve developer experience, provide reusable platform services across an organization, and help teams deliver software more quickly without compromising trust and security. In practice, however, many platform teams struggle to achieve the level of adoption they expect. Some teams find themselves pulled into project-specific support work. Others build tools and standards that are technically sound, but rarely used, and as a result, the platform does not deliver the reusability or scale it was intended to provide.As a Red Hat consultant, I have worked on platform engin
AI threats move fast. Your defenses should too.
Recently, Red Hat's Vincent Danen highlighted how AI models found 271 real security defects in Firefox in a single pass during Mozilla's collaboration with Anthropic. If AI can do that for defenders, it can do the same for attackers. As Danen put it, "if your security strategy is solely predicated on the assumption that software will be vulnerability-free, you've already lost." Vulnerabilities in code are only the entry point. The real damage comes after—lateral movement through misconfigured networks, overprivileged credentials, unrotated secrets, and services that blindly trust each other.
What's New in Ansible Automation Platform 2.7
Today we released Red Hat Ansible Automation Platform 2.7, which builds on previous releases with more features and enhancements to help you enable a platform engineering approach to automation, accelerate adoption across different teams, and prepare your IT operations for AI-driven automation. Here's a look at what's included in our latest release. Empower platform engineering and boost developer productivity The self-service automation portal, released with Ansible Automation Platform 2.6, allows ITOps teams to make automation available to users who are not automation experts yet need easy
Expiration of Secure Boot signing certificates in 2026
The keys that Microsoft uses to sign for Secure Boot are expiring at the end of June 2026. Here is what you need to know:Secure Boot-enabled systems will continue to boot after June 2026 whether they are immediately updated or not.Red Hat has released new shims, signed by multiple certificates, for all supported RHEL 9 and RHEL 10 streams; RHEL 8 will receive the new shim in June 2026.To prepare your systems for the future, it’s best to update your firmware database, if an update is available, and update your shim.What is Secure Boot?UEFI Secure Boot is a security feature that permits only s
The AI-enabled enterprise: Why we are applying software engineering principles to business operations
Over the past year, the conversation around artificial intelligence has undergone a massive evolution, shifting from isolated pilots or experiments with standalone tools. For leaders, the true challenge—and the ultimate prize—lies in building a fully AI-enabled enterprise. This means moving beyond experimentation into true operationalization, creating a scalable framework where AI drives both front-office revenue growth and back-office efficiency.At Red Hat, we are approaching this transformation with a dual mandate. First, we are focused on building enterprise-grade AI products and platfo
Lessons from an autonomous computer vision system on the air-gapped edge
Red Hat Summit demonstration booth featuring a model train track, edge computing hardware, monitoring displays, and supporting infrastructure used to demonstrate AI-driven automation at the edge.Many AI demos stop at detection. A dashboard highlights an object, a model produces a classification, or a graph updates in real time. Those are valuable building blocks, but operational environments often require something more immediate—systems that can react locally, autonomously, and in near time.Using the Red Hat edge portfolio, we set out to explore what happens when AI moves beyond observatio
Conflict management in intent-based networks
The theme for TM Forum Digital Transformation World (DTW) Ignite 2026 in Copenhagen is "The Future. Faster." As we move further into the decade, connectivity has evolved from a utility into the central nervous system of modern society. Telecommunications (telco) networks now support the most critical infrastructure—from remote healthcare and smart utility grids to national defense and emergency response. The transition from "telco to techco" means that they’re delivering the intelligent foundations that power a global digital economy.However, this increased reliance on the network brings a
Why agentic AI needs an open inference stack
"Every AI lab is losing money serving your company right now. They know it. And they are doing it on purpose."That was the opening line of an article that landed in my inbox the same week 3 numbers crystallized to make it clear why open inference is no longer optional.A developer built a simple notes app over a weekend using an open source coding agent with a direct API key. One page, one feature. Cost: $50. The next day, a $20/month subscription provided 50x more tokens.One engineer on our inference team consumed 300 million tokens through open-weight models in 2 days, doing the same work tha
The AI tipping point: Why sovereignty is no longer optional
There is a growing realization across the industry that we've reached an AI tipping point.For the last couple of years, the conversation has been dominated by the question of what is possible with AI. Today, that question has shifted to, "now that we have it, how do we control it?" We're also moving from a world where computation was plentiful to one where it’s becoming restricted again—not just by the availability of GPUs, but by the boundaries of geography, regulation, and trust.Many organizations are putting on the brakes, realizing that a "cloud-only" AI strategy can introduce complexi
Scaling physical AI: What a robotic guide dog teaches us about distributed edge workloads
For the millions of visually impaired individuals worldwide, the lack of access to trained guide dogs represents a severe accessibility gap. While robotic alternatives exist, they have historically been limited by high costs and short battery life due to the heavy on-device processing required for autonomy. This year at DTW Ignite 2026 in Copenhagen, we are showcasing the Catalyst project, "The robotic dog: AI at the edge, sustainable revenue at scale." This Catalyst project demonstrates our collaboration with AsiaInfo, ATT, China Telecom, Netcracker, Omantel, and ZTE, and shows how intelligen
Build security into ITOps from the start with automation
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
Scaling the future: How Garanti BBVA manages etcd in massive Red Hat OpenShift environments
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
Planning your path forward from Amazon Linux 2: Why consistency is the ultimate upgrade
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
From metal to agent: Why agentic AI is an application evolution
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
Friday Five — June 5, 2026
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
MENA PR - Why flexibility is non-negotiable in the Middle East’s AI transformation journey
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
