2025-11-07 08:15
Automating VM golden image builds for OpenShift is made easy with Packer! 🖥️✨ This tool helps create consistent, pre-configured VM templates, ensuring every image has the right OS settings and security patches. The article covers how to use Packer with the KVM plugin for Red Hat OpenShift Virtualization. Key benefits include: - Automation of image creation 📦 - Easy customization of software and settings - Reduced risk of errors Explore how Packer streamlines your VM image management!...
Source: Red Hat Developer Blog
Giovanni Fontana
2025-11-05 08:16
📢 Protecting sensitive data is crucial. The latest article discusses setting up confidential VMs on Red Hat OpenShift using Intel TDX technology. 🔑 This setup ensures data privacy, complying with regulations like DORA. It highlights how to use Trustee for secure attestation during VM boot-up. 🛠️ This proof of concept (PoC) involves configuring KubeVirt and verifying TDX support through the Linux kernel. Learn more about enhancing your cloud security! #CloudComputing #OpenShift #DataPrivacy...
Source: Red Hat Developer Blog
Matias Ezequiel Vara Larsen
2025-11-05 07:16
🚀 Dive into containerization with Request Tracker (RT)! This article guides you through the process of running RT as a quadlet container, utilizing MariaDB and httpd images. Learn about the setup, including persistent storage, configuration, and email routing. Key commands and examples are provided for a smooth deployment. 📦 Explore the benefits of using containers to simplify maintenance and enhance security. #RequestTracker #Containerization #Podman #DevOps #OpenSource
Source: Red Hat Developer Blog
Keith Schincke
2025-11-05 07:16
🚀 Red Hat OpenShift Lightspeed is enhancing user efficiency by integrating with locally served large language models (LLMs) through OpenShift AI. This setup boosts data security, reduces costs, and allows for better performance control. The article outlines steps to connect OpenShift Lightspeed with an LLM, from prerequisites to model deployment. Key steps include setting up S3-compatible storage and configuring model connections. For detailed instructions, check the full article! #RedHat...
Source: Red Hat Developer Blog
Samy Zemmouri
2025-11-04 15:37
Unlock the potential of Large Language Models (LLMs) with Model Context Protocol (MCP) servers! 🛠️ MCP enables AI models to interact with tools and resources effectively. Here are three recommended MCP servers: 1️⃣ **Kubernetes MCP Server** - Allows direct communication with your cluster for resource management. 2️⃣ **Context7 MCP Server** - Provides real-time access to updated technical documentation for development support. 3️⃣ **GitHub MCP Server** - Facilitates natural language...
Source: Red Hat Developer Blog
Cedric Clyburn
2025-11-04 10:00
🚀 Exciting news for Red Hat OpenShift users! Resource optimization is now generally available as part of Red Hat Lightspeed cost management. This feature simplifies resource allocation for containers, deployments, and more. Key features include: - Recommendations for various workloads - Profile-based insights - Visual explanations for recommendations Get started by labeling your namespaces, installing the Cost Management Metrics Operator, and connecting your cloud accounts. For more details,...
Source: Red Hat Developer Blog
Pau Garcia Quiles
2025-11-04 10:00
🚨 CentOS Linux 7 will reach its end-of-life on June 30, 2024, leaving users without official support. A recommended solution is migrating to Red Hat Enterprise Linux (RHEL) for ongoing security updates and support. The transition can be facilitated using Red Hat Lightspeed, which provides tools for analysis and conversion. 🔧 Steps include validating your CentOS version, updating the system, installing client tools, and running pre-conversion analyses. For detailed guidance, check out the full...
Source: Red Hat Developer Blog
Nikhil Mungale
2025-11-04 10:00
🚀 Red Hat Lightspeed accelerates the detection of network issues in Open vSwitch (OVS). Support engineers can now quickly address problems like packet drops or latency, reducing lengthy communication with developers. The tool allows for easy monitoring of OVS coverage metrics and logs, streamlining the troubleshooting process. With extendable rules, it adapts to evolving needs in network management. #RedHat #OpenvSwitch #Networking #TechSupport #Troubleshooting
Source: Red Hat Developer Blog
Veda Barrenkala
2025-11-04 10:00
Red Hat Lightspeed enhances operational efficiency by providing actionable intelligence for Red Hat Enterprise Linux environments. The insights client, running daily, can trigger custom automation using a shell script. This automation can assign systems to inventory groups, aiding in organized management and access control. Both inventory groups and system tags assist in filtering and managing systems effectively. A detailed guide on extending the insights client for automation is available...
Source: Red Hat Developer Blog
Jerome Marc
2025-11-04 10:00
🚀 Red Hat Lightspeed enhances system life cycle management through proactive monitoring and analytics. With new inventory events, IT teams gain deeper visibility, automating responses to system changes. Key events include new system registrations, stale system detection, and deletions, allowing for timely actions like opening ServiceNow tickets or initiating security checks. Integrating these events into workflows can lead to self-healing systems and optimized operations. Learn more about...
Source: Red Hat Developer Blog
Jerome Marc
2025-11-04 10:00
Manage your patching cycle effectively with content templates in Red Hat Lightspeed! 🛠️ These templates use snapshots of Red Hat and third-party repositories, allowing admins to control software availability at the dnf/yum level. Snapshots are updated every 24 hours, ensuring stability. Learn how to create and assign templates for smooth updates, including adding custom content. 📦 Explore the process for better system management today! #RedHat #SystemManagement #ContentTemplates #DevOps...
Source: Red Hat Developer Blog
Justin Sherrill
2025-11-04 10:00
🚀 Red Hat Lightspeed, formerly Red Hat Insights, now enhances operations for InterSystems IRIS users. This service provides timely alerts and recommendations for Red Hat Enterprise Linux (RHEL) administrators, ensuring optimal system performance. Key features include performance tuning suggestions and high-availability enhancements to prevent failover issues. Connect your RHEL machine to Red Hat Lightspeed easily and access valuable insights through the new "InterSystems" topic in the Advisor...
Source: Red Hat Developer Blog
Stefan Bunciak, Jaylin Zhou
2025-11-04 10:00
Unlock efficient reporting with Red Hat Satellite! 🚀 This article highlights how to automate data retrieval from Red Hat Lightspeed using Ansible integration. System administrators can schedule tasks to generate CSV reports on system health, vulnerabilities, and more, directly to their inbox. Learn how to set up a service account, configure job templates, and receive timely updates on your infrastructure. 📊 Check out the step-by-step guide and start automating today! #RedHat #Automation...
Source: Red Hat Developer Blog
Jerome Marc
2025-11-04 10:00
🔄 Red Hat Lightspeed now synchronizes system tags from Amazon EC2 and Microsoft Azure, enhancing operational efficiency. Tagging allows organizations to manage and filter their resources effectively. 🌐 This article outlines how Lightspeed ingests existing tags from cloud providers to streamline management. Users can leverage these tags for better reporting and automation across platforms. For detailed insights, explore the full article! #RedHat #CloudManagement #EC2 #MicrosoftAzure #DevOps
Source: Red Hat Developer Blog
Jerome Marc
2025-11-04 10:00
Building images for cloud and on-premises servers poses challenges like reducing attack surfaces and ensuring compliance. 🌐 Red Hat Lightspeed simplifies image hardening by using OpenSCAP remediations at build time, allowing for pre-hardened images. Users can build images via an API or a user interface on sandbox.redhat.com. 🛠️ The article details steps for selecting the PCI-DSS profile and customizing images, ensuring compliance throughout the process. For compliance monitoring, Red Hat...
Source: Red Hat Developer Blog
Gianluca Zuccarelli, Obinna Ezeakachi
2025-11-04 07:01
Post-training methods are crucial for enhancing large language models (LLMs) beyond their initial pre-training phase. 🌐 These methods include supervised fine-tuning, continual learning, and reinforcement learning, each aimed at making models more useful and aligned with specific tasks. Techniques like Orthogonal Subspace Fine-Tuning and Parameter-Efficient Fine-Tuning optimize memory and performance. 📈 Developers can explore these approaches using the open-source Training Hub library, which...
Source: Red Hat Developer Blog
Mustafa Eyceoz, Addie Stevens
2025-11-03 08:01
Unlock the power of eBPF in Linux! 🚀 This article explores how eBPF can help attribute packet drops to specific netfilter rules in the Linux kernel. It dives into the netfilter subsystem, illustrating how to pinpoint which firewall rule caused a packet drop and how to hook into kernel processing for detailed insights. Learn how to create a simple nftables ruleset and utilize eBPF tools for effective troubleshooting. 🔍💻 #eBPF #LinuxKernel #Netfilter #Firewall #PacketDrops
Source: Red Hat Developer Blog
Toke Høiland-Jørgensen
2025-11-03 08:01
Minimizing bandwidth during system updates is crucial. The article discusses how the **rpm-ostree build-chunked-oci tool** helps by isolating related rpm packages into separate layers. This means that changes to one configuration file won't require downloading large amounts of data. A new feature allows specific files to be assigned to particular layers, improving efficiency, especially for large embedded images. Setting up a test environment and using this tool can significantly speed up...
Source: Red Hat Developer Blog
Chris Kyrouac
2025-11-03 07:01
🚀 Deploying large language models (LLMs) on Red Hat OpenShift AI enhances on-premise inference for the Ansible Lightspeed intelligent assistant. You can containerize, scale, and integrate LLM workloads. This ensures better data control and compliance with organizational policies. Key components include model storage, a serving runtime, and GPU infrastructure. Performance is evaluated using Time to First Token (TTFT) and Inter-Token Latency (ITL) to maintain a responsive user experience. 🔗...
Source: Red Hat Developer Blog
Riya Sharma, Elijah DeLee
2025-10-30 13:02
Organizations transitioning to AI production face critical decisions on inference platforms. vLLM, a library of open-source code, optimizes large language model (LLM) performance through efficient GPU memory use. Its architecture, including advanced KV-Cache management and parallelization strategies, supports diverse hardware and enhances scalability. As an open-source project under the PyTorch Foundation, vLLM ensures sustainable innovation and flexibility, making it a strong choice for...
Source: Red Hat Developer Blog
Fatih E. Nar, Greg Pereira, Yuan Tang, Robert Shaw, Anish Asthana
2025-10-30 12:46
🎉 Happy 1st Birthday, Repo! 🎉 This year marked the debut of Repo, our helpful "reponaut," who assists developers in managing complex coding challenges. Key events included advancements in Red Hat OpenShift AI and the successful growth of the Quarkus project, highlighting the focus on developer productivity. In 2025, major releases such as Red Hat Enterprise Linux 10 and the Red Hat OpenShift Lightspeed assistant enhanced the developer experience. The community continues to embrace AI and...
Source: Red Hat Developer Blog
Caroline King, Colleen Lobner
2025-10-30 07:01
🔧 Red Hat OpenShift 4.20 introduces the `oc adm upgrade recommend` command, aimed at simplifying the update process. This tool offers tailored version recommendations to enhance your update planning. 📋 The precheck feature actively identifies alerts that may hinder updates, like the critical `ClusterOperatorDown` alert, ensuring you have the necessary information before proceeding. ✅ This command helps manage risks effectively, allowing for a more confident upgrade experience. Explore the new...
Source: Red Hat Developer Blog
Subin Modeel
2025-10-29 07:01
📊 As AI applications grow, understanding messaging systems like ActiveMQ Artemis and Apache Kafka is essential. ActiveMQ Artemis focuses on transactional reliability and supports various messaging protocols. It's ideal for point-to-point and batch processing. In contrast, Apache Kafka excels in real-time data streaming, offering high throughput and the ability to replay messages for analytics. Choosing between them depends on your specific use case needs. #MessagingSystems #ActiveMQ...
Source: Red Hat Developer Blog
Greg Pack, Prapthi Cariappa Kayapanda
2025-10-27 07:01
Explore the future of AI with RamaLama! 🌐 This open-source CLI simplifies the deployment of vision language models (VLMs) on edge devices. By leveraging container technology, it eliminates complex dependencies, making it easier for developers to implement AI in real-world scenarios. From real-time object recognition to identifying hazards, VLMs are set to revolutionize industries. Learn how to effectively deploy and manage these models with RamaLama. #AI #MachineLearning #EdgeComputing...
Source: Red Hat Developer Blog
Ravishankar Srinivasan
2025-10-27 07:01
🌐 The SDG Hub is transforming how we build synthetic data pipelines for large language models (LLMs). It offers an open framework that enables users to create, compose, and scale data generation with reusable blocks. This modular approach replaces one-off scripts, enhancing reproducibility and innovation. Key features include asynchronous execution, monitoring, and custom block extensions. The SDG Hub supports diverse applications, from knowledge tuning to multilingual data generation....
Source: Red Hat Developer Blog
Aditi Saluja, Abhishek Bhandwaldar, Shivchander Sudalairaj
2025-10-27 07:01
🚀 As enterprises advance AI from experimentation to production, selecting the right hardware accelerators is essential. This article outlines a stage-based framework for choosing AI accelerators throughout the inference lifecycle, covering five key stages: 1️⃣ Initial Setup 2️⃣ Performance Tuning 3️⃣ Production Deployment 4️⃣ Large Model Serving 5️⃣ Edge Deployment Each stage has unique requirements and challenges that influence hardware choices. Understanding these can help organizations...
Source: Red Hat Developer Blog
Christina Zhang
2025-10-24 07:00
Optimize your OpenShift nodes with effective system-reserved parameters! 🚀 This article outlines the steps to calculate and configure CPU and memory resources for underlying components. Proper reservation enhances scheduling and prevents resource overcommitment. Key steps include reserving resources, verifying configurations, and adjusting values for better performance. For more details on implementation, check out the full article! 📊💻 #OpenShift #RedHat #CloudComputing #ContainerManagement...
Source: Red Hat Developer Blog
Sathish Kumar Hemadhri
2025-10-23 07:01
🚨 Important Update for Developers! 🚨 The odo CLI is officially deprecated. The immediate deprecation date is October 23, 2025, with an end of life on March 31, 2026. After this date, no maintenance or support will be provided. For a smoother transition, explore Red Hat OpenShift Dev Spaces for inner-loop development, and consider using Podman and oc CLI for your outer-loop tasks. Stay informed and plan your migration! #RedHat #OpenShift #DevOps #CloudNative #DeveloperTools
Source: Red Hat Developer Blog
Kathryn Yetter
2025-10-23 07:01
🚀 OpenShift users can now enhance their networking capabilities using BGP! This article details how to expose OpenShift networks, providing dynamic routing and advanced features for VMs. Key benefits include automated route configurations, improved performance, and high availability with BFD support. Learn how to export network routes efficiently from OpenShift to a BGP router, ensuring seamless VM migration and connectivity. #OpenShift #BGP #Virtualization #CloudNetworking #FRRouting
Source: Red Hat Developer Blog
Miguel Duarte de Mora Barroso, Valentino Uberti
2025-10-22 07:01
Learn how to effectively run I/O workloads on OpenShift Virtualization VMs! 🚀 This article outlines the steps needed to test I/O performance at scale using a generic FIO workload. It covers prerequisites, such as a functional OpenShift environment and SSH access to virtual machines. Step-by-step instructions detail how to create virtual machines, set up testing parameters, and analyze results, ensuring accurate performance assessments. 📊 Explore the testing process and improve your...
Source: Red Hat Developer Blog
Elvir Kuric
2025-10-22 07:01
Unlock the potential of AI coding with spec-driven development! 🎶 This approach enhances collaboration between humans and AI by establishing clear specifications. Unlike "vibe coding," which can lead to fragile code, spec coding ensures robust results through detailed planning. Stakeholders benefit from early involvement, improving productivity and ROI. By defining the "what" and "how," teams create error-free, scalable code while empowering AI with context. 🤖 Explore how to start with spec...
Source: Red Hat Developer Blog
Rich Naszcyniec
2025-10-21 07:01
Introducing **Krkn-AI**: a new framework for AI-assisted chaos engineering. It addresses the challenges of testing modern systems, especially in dynamic environments like Kubernetes. Chaos engineering helps identify weaknesses by simulating failures, but traditional methods can be manual and static. Krkn-AI automates experiment discovery and execution, allowing teams to focus on insights rather than manual setups. Key features include cluster-aware discoverability, enhanced test coverage, and...
Source: Red Hat Developer Blog
Rahul Shetty, Naga Ravi Chaitanya Elluri
2025-10-21 07:01
Importing provider network routes into Red Hat OpenShift Virtualization via BGP enhances network capabilities. 🌐 This integration allows for dynamic routing and automates configurations, improving VM migration and overall performance. BGP's features like bidirectional forwarding detection (BFD) ensure high availability and rapid failover. To implement this, ensure your OpenShift cluster meets the prerequisites and follow the detailed configuration steps provided. #OpenShift #BGP #CloudNative...
Source: Red Hat Developer Blog
Miguel Duarte de Mora Barroso, Valentino Uberti
2025-10-20 07:01
In the latest analysis of Red Hat OpenShift, a kubelet regression was detected that increased CPU usage by 30% and pod readiness latency by 50%. Our performance engineering team utilized the changepoint detection tool, Orion, to identify these issues during automated scale tests. The regression was linked to kubelet 1.33, which was resolved by reverting to version 1.32.6, restoring normal performance metrics. This case highlights the importance of continuous testing and collaboration to...
Source: Red Hat Developer Blog
Vishnu Challa
2025-10-16 15:44
🚀 Profiling large language models (LLMs) is essential for optimization. This guide details how to set up and profile a vLLM inference server on RHEL with NVIDIA GPUs. 🔧 It covers three main stages: 1️⃣ Environment setup: Install NVIDIA drivers and the Container Toolkit. 2️⃣ Basic profiling: Use the PyTorch profiler to trace inference requests. 3️⃣ Advanced profiling: Leverage NVIDIA Nsight Systems for deeper insights. For a comprehensive understanding, check the full guide! #LLM #GPU #vLLM...
Source: Red Hat Developer Blog
George Zheng Wang
2025-10-16 15:07
🚀 Key findings from a recent study on GPU clusters for distributed training highlight the importance of network architecture. Using IBM Cloud, tests showed that the standard OpenShift pod network creates bottlenecks. For L40S GPUs, secondary vNICs increased performance by up to 132% at scale. For H100 GPUs, switching to SR-IOV led to a 3x increase in throughput. Recommendations emphasize investing in high-performance networks to maximize GPU utilization. #DistributedTraining #GPUPerformance...
Source: Red Hat Developer Blog
Tanya Osokin, Kevin Pouget, Michey Mehta
2025-10-15 07:16
🚀 This October, an update on the Clang bytecode interpreter reveals significant progress! With about 500 commits since last year, the implementation has become more robust. Test failures in the clang suite have decreased from 155 to 90. A working version of `builtin_constant_p` is now available, supporting real-world use cases. Key enhancements include optimizations for constant expressions, improving performance in certain scenarios. The inclusion of libc++ testing has also led to better...
Source: Red Hat Developer Blog
Timm Baeder
2025-10-15 07:16
🚀 Continuous performance testing (CPT) is crucial for software development, especially for Red Hat OpenShift. The article highlights its importance in preventing performance bottlenecks and improving user experience. Challenges include OpenShift's complexity and the need for flexible testing solutions. The team shifted-left, integrating performance tests into their CI/CD pipeline, increasing development velocity and collaboration. Stay tuned for best practices and insights on CPT! 📈🔍 #RedHat...
Source: Red Hat Developer Blog
Joe Talerico
2025-10-14 17:27
Deploying OpenShift in air-gapped environments can be challenging due to complex setup requirements. The article introduces "aba," a new tool that simplifies this process. Aba provides a pre-tested install bundle that includes all necessary components, automating the setup of registries and mirroring images. This tool aims to reduce installation time and manual troubleshooting. Aba's key features include end-to-end automation, built-in best practices, and support for various installation...
Source: Red Hat Developer Blog
Stephen Bylo
2025-10-14 07:01
Unlock the potential of your GPU with NVIDIA's Multi-Instance GPU (MIG) and Red Hat OpenShift! 🚀 This powerful combination allows you to dynamically allocate GPU resources, enabling diverse workloads—from running seven small models to a single large one—without idle time. Discover how the dynamic accelerator slicer operates, facilitating efficient resource management and isolation for teams. 💻 Read more about the setup and see live demos of this innovative technology in action! #NVIDIA...
Source: Red Hat Developer Blog
Harshal Patil