2026-05-28 03:01
🚀 Exciting updates for stalld! The new BPF-based queue_track backend enhances task starvation detection in Linux environments. By shifting from a poll-based method to an event-driven model, stalld improves efficiency and reliability. This change eliminates reliance on debugfs, ensuring better performance and compatibility across kernel versions. Learn more about how this evolution supports real-time workloads! 🔧💻 #Linux #BPF #stalld #TechUpdate #OpenSource
Source: Red Hat Developer Blog
Clark Williams, Wander Lairson Costa
2026-05-27 07:16
🚀 Exciting news for enterprises scaling AI! Red Hat and Rebellions have launched a joint solution integrating Rebellions' ATOM NPUs with Red Hat OpenShift AI. This collaboration enables efficient AI inference with low latency and high throughput. 🔍 The ATOM NPU, designed for AI workloads, offers significant energy savings compared to traditional GPUs. This allows organizations to optimize costs while maintaining performance. 📈 The solution includes a comprehensive architecture for deploying...
Source: Red Hat Developer Blog
Erwan Gallen, Chris Procter, Liming Tsai
2026-05-27 07:16
🚀 Keeping up with rapidly changing APIs can be a challenge. At Red Hat OpenShift AI, we faced this issue with Llama Stack, where mocked unit tests failed to reflect real-time changes. To solve this, we integrated a real Llama Stack server into our testing. By using its record-replay functionality, we avoided costly LLM calls while ensuring reliability in our tests. Now, our daily workflow includes a Slack sentinel that alerts us about compatibility, giving us early warnings on potential...
Source: Red Hat Developer Blog
Avik Kundu
2026-05-26 07:01
🔍 Testing the security of agent workloads on Red Hat OpenShift has revealed critical insights. The study deployed OpenClaw and utilized custom probes across various attack categories. Five models were tested, with abliterated models showing 100% cooperation on adversarial prompts, highlighting the importance of infrastructure as a final security measure. Key findings include: - Tier 0 (no controls) saw significant credential exfiltration. - Adding an SSH sandbox (Tier 1) eliminated sensitive...
Source: Red Hat Developer Blog
Roy Belio
2026-05-26 07:01
Transforming naive RAG systems into effective solutions is possible with OGX (Open GenAI Stack). Key strategies include: 🔍 **Metadata Filtering**: Enhances accuracy by narrowing search results based on user context. 🔄 **Hybrid Retrieval**: Combines vector and keyword searches for precise results. 📊 **Neural Reranking**: Uses advanced models to improve relevance in responses. Explore how these techniques enhance enterprise RAG applications! #RAG #OpenSource #DataRetrieval #AI #MachineLearning
Source: Red Hat Developer Blog
Abdelhamid Soliman
2026-05-26 07:01
🚀 SELinux Multi-Category Security (MCS) poses challenges for GitLab runners by restricting access between containers sharing volumes. GNOME addresses this issue with fixed MCS labels but compromises isolation. The article explores potential solutions, including microVM isolation using Cloud Hypervisor and Firecracker. Discover how these technologies may enhance security in CI environments. 🔍💻 #SELinux #GitLab #MicroVM #CloudHypervisor #DevOps
Source: Red Hat Developer Blog
Andrea Veri
2026-05-25 07:01
Large language models (LLMs) are powerful when given the right context. The article discusses two methods to enhance LLM capabilities: Model Context Protocol (MCP) servers and skills. MCP servers connect LLMs to external data, streamlining access and ensuring secure data handling. This allows models to retrieve and process real-time information efficiently. On the other hand, skills provide structured instructions for consistent output and specialized tasks. They help LLMs execute repetitive...
Source: Red Hat Developer Blog
Cedric Clyburn
2026-05-25 07:01
AI applications often face challenges when integrating multiple model providers like OpenAI and Anthropic directly into their code. This can complicate switching models and managing requests. To address this, a gateway can be introduced between applications and model providers, allowing for a consistent API while handling routing separately. With Red Hat OpenShift AI 3.4, the Models-as-a-Service (MaaS) capability simplifies this process, offering centralized governance for both self-hosted...
Source: Red Hat Developer Blog
Edward Arthur Quarm Jnr
2026-05-22 07:01
🚀 The rise of AI is reshaping data security in GPU-accelerated environments. Organizations are increasingly concerned about protecting sensitive data and code during computations. Confidential computing technologies, like AMD SEV-SNP and Intel TDX, are essential for creating trusted execution environments (TEEs) that secure memory access. NVIDIA’s confidential GPUs extend these protections to the GPU level, enabling secure workloads in shared infrastructures. Key features include device...
Source: Red Hat Developer Blog
Claudio Carvalho, Pradipta Banerjee, Pei Zhang
2026-05-22 07:01
In our latest case study, we analyzed a 32-core x64 system with a dual-port 100 GbE network card. Key focus areas included throughput measurement, CPU utilization, computational efficiency, and power consumption. The testing methodology followed our previous blog on optimizing energy efficiency. We observed that while single-core performance is solid, multicore scaling shows diminishing returns as resources are contested. Additionally, hidden hardware limitations were noted, impacting...
Source: Red Hat Developer Blog
Adam Okuliar, Otto Sabart
2026-05-22 07:01
To ensure reliable AI performance in production, it's crucial to implement an API layer between your application and the inference engine. This setup helps manage state and observability, but silent failures can still occur. Running an end-to-end benchmark, like the Berkeley Function-Calling Leaderboard (BFCL), is essential to identify these issues. Testing with the latest versions of OGX and vLLM on OpenShift AI 3.4 resulted in notable accuracy improvements. For more details on setup and...
Source: Red Hat Developer Blog
Bill Murdock, Robin Narsingh Ranabh
2026-05-21 07:16
🚀 Learn about Just-In-Time (JIT) checkpointing with the Kubeflow Trainer on OpenShift AI! This guide details how to implement resilient model checkpointing to protect against interruptions during training. It covers both Persistent Volume Claim (PVC) and S3 storage options. Follow the step-by-step instructions and optimize your training process! 📊🔍 #Kubeflow #OpenShiftAI #MachineLearning #DataScience #Checkpointing
Source: Red Hat Developer Blog
Esa Fazal, Hari Haran Rathinakumar
2026-05-21 07:16
🔒 The latest Red Hat OpenShift GitOps operator 1.20.2 enhances TLS certificate management for Argo CD. It supports both the Mozilla CA bundle for widely trusted sources and allows admins to pin additional certificates through a config map. This flexibility enables a mix of public and internal repositories. Real-world challenges include managing wildcard certificates and indirect TLS connections, which Argo CD doesn't automatically handle. Discover the balance between strict certificate...
Source: Red Hat Developer Blog
Oliver Gondža
2026-05-21 07:16
🚀 Managing disk space is crucial for AI/ML workloads on Red Hat OpenShift. The new **split disk configuration** directs newly pulled container images to a separate filesystem, keeping the boot disk focused on runtime data. This setup enhances disk space allocation and is particularly useful for environments running large images. The article guides through the configuration process for OpenShift 4.22 on AWS and GCP. For optimal performance, consider this developer preview feature! #OpenShift...
Source: Red Hat Developer Blog
Neeraj Krishna Gopalakrishna
2026-05-20 13:02
🚀 Red Hat has released Enterprise Linux 10.2 and 9.8, enhancing stability and support for developers. These versions introduce features like the Red Hat build of Podman Desktop, simplifying container management across various environments. AI assistance tools, including the new command-line assistant "goose," offer improved efficiency and faster responses. Updates to databases such as PostgreSQL and MariaDB enhance performance and capabilities for modern applications. Explore the full details...
Source: Red Hat Developer Blog
Louis Imershein, Bronce McClain
2026-05-20 07:16
Hugging Face has elevated GPU kernels as a first-class repository type, enabling a versioned, multi-vendor distribution channel for pre-compiled compute kernels. This change doesn't impact existing inference runtimes but offers a new tool for developers. The article clarifies the distinction between OS kernels and GPU compute kernels, and discusses their roles in distributed AI inference. For teams in production, understanding these differences is crucial to maintain agility and compliance....
Source: Red Hat Developer Blog
Fatih E. Nar, Steven Royer
2026-05-19 07:01
🔧 Debugging image mode in Red Hat OpenShift 4.20 can be complex but manageable. This practical guide outlines the debugging process across three key stages: 1️⃣ **MachineOSConfig (MOSC) Creation**: This is where the custom OS image blueprint is defined. Watch for configuration errors, missing secrets, and registry specifications. 2️⃣ **MachineOSBuild (MOSB) Execution**: Here, the actual image build occurs. Monitor build status and check for job failures or image pull errors. 3️⃣ **Image...
Source: Red Hat Developer Blog
Sergio Regidor de la Rosa
2026-05-19 07:01
🚀 Just launched an AI customer support assistant, but issues arose once it went live. Users reported incorrect responses and outdated policies. 🔍 The root cause? Inadequate evaluation methods. Teams often rely on superficial reviews and miss key performance metrics. EvalHub aims to address these challenges by providing a unified platform for systematic AI evaluation, ensuring better deployment outcomes. Learn more about how EvalHub can enhance AI assessments. #AI #EvalHub #MachineLearning...
Source: Red Hat Developer Blog
William Caban Babilonia, Rui Vieira
2026-05-18 07:01
🚀 Exciting news for SQL Server users on RHEL! Introducing the Pacemaker HA Agent v2 (tech preview), designed to enhance high availability. This new version offers faster, smarter failovers and improved health monitoring. Key features include: - Service-based architecture for easier management - Advanced health checks for quicker problem detection - Support for TLS 1.3, aligning with modern security standards Currently available for SQL Server 2025 CU3 on RHEL 9+. Test it out to improve your...
Source: Red Hat Developer Blog
Vivien Wang
2026-05-18 07:01
🚀 Discover how our team implemented CI/CD pipelines for the it-self-service-agent AI quickstart! In this article, we explore the importance of continuous integration and delivery in developing agentic AI systems, which rely on variable large language models. Our approach enhances development speed and reliability by incorporating rigorous testing and evaluation. Learn more about the key strategies we utilized and how they can benefit your projects. #AIDevelopment #CICD #AgenticAI #RedHatAI
Source: Red Hat Developer Blog
Michael Dawson, Tommy Hughes, Linoy Bitan, Tomer Golan, Fabio Massimo Ercoli
2026-05-14 13:01
🔒 Running AI agents in production involves balancing security and functionality. As teams seek shell and network access, security concerns rise. Red Hat AI emphasizes a compound security approach, addressing vulnerabilities like semantic malware that exploit natural language. Their six-layer framework enhances protection, from hardening platforms to process-level sandboxes. Learn more about securing AI agents effectively! #AI #Cybersecurity #RedHatAI #DevOps #SecurityFramework
Source: Red Hat Developer Blog
Adel Zaalouk
2026-05-14 13:01
Exploring container builds with distroless images can lead to unexpected challenges. 🐳 A recent project involving a Flask app highlighted issues when using the RUN instruction. The absence of `/bin/sh` in distroless images leads to errors during build execution, prompting a deeper understanding of how these builds function. Testing pip installation showed that it was available, indicating the need for adjustments in command execution. 💻 #ContainerDev #Distroless #RedHat #Flask #DevOps
Source: Red Hat Developer Blog
Matt Micene
2026-05-13 13:05
Generative AI is transforming software development, requiring teams to adapt to a new reality. As AI agents generate code and manage dependencies, maintaining control becomes crucial. The solution lies in a trusted software factory, which integrates security and compliance from the start of the development lifecycle. This centralized approach streamlines processes across hybrid cloud environments. Red Hat’s trusted software factory offers a standards-based implementation, enabling teams to...
Source: Red Hat Developer Blog
Meg Foley
2026-05-13 13:05
In the healthcare sector, balancing AI development speed with stringent security compliance is crucial. 🏥✨ Red Hat OpenShift and RHEL's confidential virtual machines (CVMs) enable organizations to deploy AI models while adhering to zero trust policies, safeguarding protected health information (PHI). This article details how developers and security administrators can automate the deployment of sensitive workloads across cloud environments without compromising data security. 🔒☁️ Learn more...
Source: Red Hat Developer Blog
Emanuele Giuseppe Esposito
2026-05-12 12:01
🚀 Red Hat has launched Hardened Images, a solution for developers to streamline their workflow. These small container images reduce unnecessary software, minimizing security alerts and performance bottlenecks. With a verified supply chain and built-in Software Bill of Materials (SBOM), developers can trust their container contents. The benefits include faster deployment and a growing catalog of ready-to-use images for common tools. 🔗 Learn more at images.redhat.com. #RedHat #DevOps...
Source: Red Hat Developer Blog
Louis Imershein, Ben Breard
2026-05-12 12:01
🔍 Discover how EvalHub efficiently manages AI evaluations with a two-layer Kubernetes control plane. Red Hat AI 3.4 features a unified orchestration layer that supports various evaluation frameworks, allowing for seamless onboarding and consistent scaling. The architecture includes the TrustyAI Service Operator for lifecycle management and the EvalHub Server for orchestration, facilitating robust experiment tracking and resource management. Learn more about integrating EvalHub into your...
Source: Red Hat Developer Blog
William Caban Babilonia, Marius Ion Danciu, Rui Vieira, Matteo Mortari, Julian Payne
2026-05-11 07:01
🚀 Tekton has officially joined the Cloud Native Computing Foundation (CNCF) as an incubating project! This move enhances its integration with the Kubernetes ecosystem, providing a robust foundation for Kubernetes-native CI/CD. 🔗 Red Hat has played a key role in Tekton's development, focusing on user experience and enterprise readiness. This transition opens doors for greater collaboration and improved security within the open-source community. 📈 With access to over 150,000 contributors,...
Source: Red Hat Developer Blog
Carlos Salinas, Jaafar Chraibi
2026-05-08 07:16
🔒 Modern organizations are shifting from monolithic applications to smaller, specialized systems that interact across various environments, including on-premise and cloud. Traditional security methods, like usernames and passwords, are no longer sufficient. Instead, workload identity solutions, such as SPIFFE and SPIRE, are gaining traction. These enable secure communication without static credentials. Red Hat's zero trust workload identity manager facilitates this on OpenShift, allowing...
Source: Red Hat Developer Blog
Andrew Block
2026-05-07 07:01
Confidential Virtual Machines (CVMs) are rapidly gaining popularity, allowing for quick provisioning from major cloud providers. While CVMs enhance data confidentiality at runtime, the protection of data at rest is equally crucial. This article discusses potential attack scenarios where an attacker with read/write access to CVM storage could compromise data confidentiality and integrity. Traditional Linux encryption tools like dm-crypt/LUKS may need reevaluation in light of these threats. Key...
Source: Red Hat Developer Blog
Vitaly Kuznetsov
2026-05-07 03:01
🚀 Red Hat OpenShift's latest update introduces the Virtualization Platform Autopilot in version 4.22. This feature simplifies the management of operators and components for virtualization workloads. The autopilot reduces the complexity for cluster administrators by automatically configuring recommended settings, allowing more focus on custom configurations when needed. This development aims to support both newcomers and experienced users in optimizing their OpenShift environments. 🔗 #RedHat...
Source: Red Hat Developer Blog
Simone Tiraboschi, Fabian Deutsch
2026-05-07 03:01
🔒 Red Hat OpenShift now supports the integration of a zero trust workload identity manager with Argo CD, enhancing secure communication between remote clusters using SPIFFE and SPIRE identities. This feature allows OpenShift GitOps to manage remote instances efficiently without long-lived tokens. However, currently, only SPIFFE identities can authenticate, which may limit access options. Future updates aim to support multiple identity providers. For implementation, two OpenShift clusters are...
Source: Red Hat Developer Blog
Andrew Block
2026-04-29 07:01
Transforming Storybook into a behavioral verification engine enhances the reliability of the Red Hat Hybrid Cloud Console. This article outlines how they shifted from traditional UI testing to a comprehensive approach that validates real component behavior, including routing and permission checks, while using Mock Service Worker for accurate network interactions. Key methods include using handler factories, named constants, and shared interaction helpers to reduce technical debt and ensure...
Source: Red Hat Developer Blog
Riccardo Forina
2026-04-29 07:01
🚀 Dealing with application lag? The article highlights how eBPF and the netstacklat tool can help troubleshoot network latency issues. 📊 Netstacklat monitors packet delays in the Linux network stack, providing insights into where latency occurs—from the kernel to the application layer. 🔍 By analyzing these metrics, developers can pinpoint bottlenecks and optimize performance, enhancing user experience. #NetworkLatency #eBPF #PerformanceMonitoring #DevOps #Linux
Source: Red Hat Developer Blog
Toke Høiland-Jørgensen, Simone Ferlin-Reiter
2026-04-28 07:16
🚀 Exciting updates in GCC 16 are here! New features include enhanced C++ error messages, now with a clearer hierarchical structure for easier debugging. The SARIF output has also been improved, allowing for better machine-readable diagnostics. Additionally, a new experimental HTML output option is available for enhanced visualization during analysis. Explore these improvements in GCC 16 today! #GCC16 #Programming #Cplusplus #SoftwareDevelopment #RedHat
Source: Red Hat Developer Blog
David Malcolm
2026-04-28 07:16
Introducing the Red Hat OpenShift AI observability summarizer! 🚀 This innovative tool transforms raw metrics into clear, actionable insights for platform teams. It streamlines the analysis process by filtering through 1,800 metrics, ensuring users get focused answers rather than overwhelming data. Key features include intent extraction, metric discovery, and LLM summarization—making it easier to identify and act on issues in complex environments. Say goodbye to static dashboards and hello to...
Source: Red Hat Developer Blog
Twinkll Sisodia, Sandip Gahlot, Jianrong Zhang, Abdul Hameed, Manna Kong
2026-04-28 07:16
🚀 Tekton is a Kubernetes-native CI/CD framework that simplifies building and deploying .NET applications. With the dotnet-publish-image task, you can build and push container images directly using the .NET SDK—no Dockerfile needed! This article guides you through setting up a minimal Tekton pipeline to clone a .NET app from Git, build a container image, and push it to quay.io. Learn about task parameters, repository setup, and automating builds with Git push triggers. #Tekton #DotNET #CICD...
Source: Red Hat Developer Blog
Tom Deseyn
2026-04-28 07:16
🚀 Project Hummingbird offers minimal, hardened container images designed to enhance security with a reduced attack surface. These distroless images serve as drop-in replacements for standard containers. 🔍 The article explores their functionality using examples in Fedora Linux, showing how they integrate seamlessly into existing workflows. 🔒 With a focus on low vulnerabilities, Hummingbird supports various programming languages, databases, and web servers, making it a versatile option for...
Source: Red Hat Developer Blog
Fernando Lozano
2026-04-27 07:01
Deploying hosted control planes with OpenShift Virtualization can enhance enterprise operations. In this article, the focus is on the split hub model using two OpenShift clusters. Cluster A manages governance without hosting control planes, while Cluster B handles the actual hosting, allowing independent scaling and resource management. This approach provides clear separation of duties and supports multi-datacenter strategies. #OpenShift #Kubernetes #Virtualization #CloudComputing 🌐📊💻
Source: Red Hat Developer Blog
Prakash Rajendran
2026-04-27 07:01
Managing DNS, DHCP, and IP addresses in multi-cloud environments can be challenging. An IP conflict or stale DNS record can disrupt services. The integration of Infoblox Universal DDI with Red Hat Ansible Automation Platform offers a solution by automating DDI operations. This approach utilizes Configuration-as-Code for consistent management and version control. Learn how to streamline your DDI processes and reduce manual errors with automation! 🚀🔧 #Infoblox #AnsibleAutomation...
Source: Red Hat Developer Blog
Michal Zdyb
2026-04-27 07:00
🚀 Diffusion LLMs (dLLMs) are transforming the landscape of language models by offering a more flexible approach to accuracy and performance. Unlike traditional auto-regressive models that predict one token at a time, dLLMs draft and refine sequences, leveraging bidirectional attention for context-aware output. This allows for real-time adjustments between speed and complexity, eliminating the need for multiple models. As innovations continue, the demand for efficient LLMs is growing rapidly....
Source: Red Hat Developer Blog
Alon Kellner, Tomer Garber