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- 2026-03-31CNCF
Sustaining OpenTelemetry: Moving from dependency management to stewardship New
A practical model: Structured contributor pipelines The next cohort: OpenTelemetry with CNCF Why this matters now Posted on March 31, 2026 by Bloomberg CNCF projects highlighted in this post Modern software runs on open source. In fact, “free” and open source software generates more than $500 billion in annual value in the U.
#cncf - 2026-03-31OpenShift Blog
Introducing the Red Hat Universal Base Image New
Introducing the Red Hat Universal Base Image Reasons to use UBI UBI is more than just a base image Four UBI base images compared Micro : Designed for applications that contain their own dependencies (Python, Node. js,.
#openshift - 2026-03-31OpenShift Blog
JBoss EAP XP 6.0: Achieving observability with OpenTelemetry New
JBoss EAP XP 6.0: Achieving observability with OpenTelemetry OpenTelemetry in action Scenario 1: Local environment (Podman + Standalone) Step 1: Infrastructure setup (Podman) Step 2: Install and configure JBoss EAP XP 6.0 Step 3: Deploy and verify Scenario 2: Setup on Red Hat OpenShift Prerequisites Step 1: Prepare the OpenTelemetry collector Step 2: Configure the Helm chart Step 3: Execute deployment Step 4: Verify Summary Red Hat OpenShift Container Platform | Product Trial About the author Keishi Suzumura More like this [node:rh-smart-meta-title] Streamline your work with the new learning drawer in the migration toolkit for virtualization Heroes in a Bash Shell | Command Line Heroes The Web Developer And The Presence | Compiler: Re:Role Keep exploring Browse by channel Automation Artificial intelligence Open hybrid cloud Security Edge computing Infrastructure Applications Virtualization Share The recent article JBoss EAP XP 6 is here announced the release of JBoss EAP XP 6.0, which introduced full compliance with MicroProfile 7.0 and a host of new features. Among the most significant updates is the enhanced observability provided by the support for MicroProfile Telemetry 2.0.
#openshift - 2026-03-31Redhat Blog
Our journey to AI-centricity, part 2: Crafting a strategy that scales New
Our journey to AI-centricity, part 2: Crafting a strategy that scales Moving from policy to participation The 3 layers of our AI strategy The adaptable enterprise: Why AI readiness is disruption readiness About the authors Chris Wright Marco Bill More like this Red Hat and NVIDIA: Setting standards for high-performance AI inference Red Hat AI tops MLPerf Inference v6.0 with vLLM on Qwen3-VL, Whisper, and GPT-OSS-120B Technically Speaking | Build a production-ready AI toolbox Technically Speaking | Platform engineering for AI agents Keep exploring Browse by channel Automation Artificial intelligence Open hybrid cloud Security Edge computing Infrastructure Applications Virtualization Share In the first part of this series, we discussed the messy and challenging work of fixing our foundation—standardizing on Red Hat OpenShift and cleaning up years of fragmented data. With that foundation in place, we faced a new challenge: how to integrate AI into how Red Hatters work without creating new internal barriers or security risks.
#kubernetes - 2026-03-31Redhat Blog
Using containers to bring software engineering rigor to AI workloads New
Using containers to bring software engineering rigor to AI workloads What is the Open Container Initiative? Containerizing AI models with ModelCar What is a ModelCar container? Model size considerations OCI artifacts for models Containerizing MCP servers for enterprise deployment Benefits of containerized MCP servers When not to containerize your MCP servers Containerizing Agent Skills Containerizing AI agents Single-user agents and sub-agents Containers for sandboxing Benefits of containerizing AI workloads Software supply chain security Version control and rollback Consistent deployment Observability Isolation and access control Looking ahead: Workload identity and zero trust Final thoughts The adaptable enterprise: Why AI readiness is disruption readiness About the author Ann Marie Fred More like this Red Hat and NVIDIA: Setting standards for high-performance AI inference Red Hat AI tops MLPerf Inference v6.0 with vLLM on Qwen3-VL, Whisper, and GPT-OSS-120B Technically Speaking | Build a production-ready AI toolbox Technically Speaking | Platform engineering for AI agents Keep exploring Browse by channel Automation Artificial intelligence Open hybrid cloud Security Edge computing Infrastructure Applications Virtualization Share As AI workloads move from experimental prototypes into production environments, enterprises face a familiar challenge—how do you protect, manage, and govern these new components with the same rigor you apply to traditional software applications? A key piece of the puzzle lies in something your organization likely already uses extensively—containers, specifically Open Container Initiative (OCI) containers. The Open Container Initiative defines open specifications for image formats, container runtimes, and distribution, helping organizations avoid vendor lock-in.
#kubernetes - 2026-03-30Nirmata Blog
Surviving the NGINX EOL? A Practical Policy-as-Code Migration Guide New
Why This Isn’t a Simple Swap Phase 1: Assessment and Discovery Phase 2: Annotation Mapping: Not Always 1-to-1 Consider Moving to VirtualServer CRDs Using Kyverno to Reduce Migration Risk Phase 3: DNS Cutover: Don’t Rush This Part Final Thoughts With the community NGINX Ingress controller reaching its retirement this month, many of us are facing a looming migration deadline. This guide focuses specifically on moving to the F5 NGINX Open Source Ingress Controller , which is the free, open-source version maintained by the NGINX engineering team at F5, not the commercial NGINX Plus version.
#nirmata #kubernetes - 2026-03-30CNCF
LLMs on Kubernetes Part 1: Understanding the threat model New
Understanding what you’re actually running OWASP LLM Top 10: A framework for understanding risks Four risks that Kubernetes operators need to understand 1. Prompt Injection (LLM01) 2.
#cncf - 2026-03-30OpenShift Blog
Announcing Red Hat Advanced Cluster Security for Kubernetes 4.10 New
Announcing Red Hat Advanced Cluster Security for Kubernetes 4.10 New in Red Hat Advanced Cluster Security for Kubernetes Base images: Separation of duties OpenShift Console plug-in (Technology Preview) Vulnerability management for virtual machines (Technology Preview) StackRox MCP server (upstream) File activity monitoring (Technology Preview) Cluster registration secrets Policy criteria for CVE fix date Red Hat OpenShift Container Platform | Product Trial About the author Michael Foster More like this AI security: Identity and access control AI security: Defending against prompt injection and unsafe actions Collaboration In Product Security | Compiler Keeping Track Of Vulnerabilities With CVEs | Compiler Keep exploring Browse by channel Automation Artificial intelligence Open hybrid cloud Security Edge computing Infrastructure Applications Virtualization Share Security is an important aspect of any digital undertaking, and Kubernetes is no different. We’ve built Red Hat Advanced Cluster Security for Kubernetes to form a foundational layer of security across fleets, estates, and platforms, be it public, private, or hybrid clouds.
#openshift - 2026-03-30Kubernetes Blog
Kubernetes v1.36 Sneak Peek New
Kubernetes v1.36 Sneak Peek The Kubernetes API removal and deprecation process Ingress NGINX retirement Deprecations and removals for Kubernetes v1.36 Deprecation of. spec.
#kubernetes - 2026-03-30OpenShift Blog
Our journey to AI-centricity, part 1: Building on a stable foundation New
Our journey to AI-centricity, part 1: Building on a stable foundation Standardizing a fragmented infrastructure Cleaning up our data to find the truth Laying the groundwork for what's next Red Hat OpenShift Container Platform | Product Trial About the authors Chris Wright Marco Bill More like this Red Hat and NVIDIA: Setting standards for high-performance AI inference Red Hat AI tops MLPerf Inference v6.0 with vLLM on Qwen3-VL, Whisper, and GPT-OSS-120B Technically Speaking | Build a production-ready AI toolbox Technically Speaking | Platform engineering for AI agents Keep exploring Browse by channel Automation Artificial intelligence Open hybrid cloud Security Edge computing Infrastructure Applications Virtualization Share At Red Hat, our IT and Engineering functions encounter the same challenges and make the same decisions our customers face every day, from infrastructure optimization and application delivery to automating and enhancing the security of our global business. Right now, almost every organization we talk to is navigating the complexities of an AI journey, and we’re in that same boat.
#openshift