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- 2026-03-09CNCF
Registry mirror authentication with Kubernetes secrets
The problem with node-level credentials The solution: Kubelet credential provider plugins Kubelet configuration requirements How the CRI-O Credential Provider Works Simplified workflow Complete workflow with component interactions A real world example Configure RBAC Running the example Security considerations Conclusion Posted on March 9, 2026 by Sascha Grunert, Red Hat CNCF projects highlighted in this post Part I: Architecture and Implementation In production Kubernetes clusters, pulling container images from private registries happens thousands of times per day. Kubernetes distributions from major cloud vendors provide credential providers for their respective registries like AWS ECR, Google GCR, and Azure ACR.
#cncf - 2026-03-09Kubernetes.dev Blog
Blog: Announcing the AI Gateway Working Group
Announcing the AI Gateway Working Group What is an AI Gateway? Working group charter and mission Active proposals Payload Processing Egress gateways Upcoming events KubeCon + CloudNativeCon Europe 2026, Amsterdam Get involved The community around Kubernetes includes a number of Special Interest Groups (SIGs) and Working Groups (WGs) facilitating discussions on important topics between interested contributors. Today, we’re excited to announce the formation of the AI Gateway Working Group , a new initiative focused on developing standards and best practices for networking infrastructure that supports AI workloads in Kubernetes environments.
#kubernetes #community - 2026-03-06CNCF
KubeCon + CloudNativeCon Europe 2026 Co-located Event Deep Dive: KeycloakCon
Who will get the most out of attending this event? What is new and different this year? What will the day look like? Should I do any homework first? Find your community! Posted on March 6, 2026 by Co-chairs: Alexander Schwartz & Yoshiyuki Tabata CNCF projects highlighted in this post As cloud native architectures span more clusters, services, and trust domains, identity and access management have become foundational infrastructure rather than an application-level concern. At the same time, emerging patterns such as multi-cluster platforms, agent-based systems, and verifiable identity models are placing new pressure on traditional IAM approaches.
#cncf - 2026-03-06Redhat Blog
Friday Five — March 6, 2026
Friday Five — March 6, 2026 Red Hat MWC Barcelona Newsroom Telstra advanced autonomous networks ambition through breakthrough collaboration with Red Hat, Dell Technologies and Cisco The New Stack : Red Hat introduces its first out and out AI platform Telecoms. com : Red Hat says the cost of AI is becoming a hot topic SiliconANGLE theCube : IBM's Eoin Coughlan and Red Hat's Fran Heeran About the author Red Hat Corporate Communications More like this Why the future of AI depends on a portable, open PyTorch ecosystem Scaling the future of Open RAN: Red Hat joins the OCUDU Ecosystem Foundation Post-quantum Cryptography | Compiler Understanding AI Security Frameworks | Compiler Keep exploring Browse by channel Automation Artificial intelligence Open hybrid cloud Security Edge computing Infrastructure Applications Virtualization Share Follow Red Hat's news from the world’s largest mobile industry event including customers and partners like Bell Canada, Telenor AI Factory, Telefónica, NVIDIA and more.
#kubernetes - 2026-03-06Redhat Blog
Planning the design of your production-grade RAG system
Planning the design of your production-grade RAG system The myth of "simple" RAG The retrieval gap revisited Why "advanced RAG" has emerged From pipelines to decisions Operational reality of RAG The hard boundary RAG cannot cross Why does this naturally lead to tuning Where this leaves us Red Hat AI Inference Server | Product Trial About the authors Frank La Vigne Robbie Jerrom More like this Enable intelligent insights with Red Hat Satellite MCP Server AI quickstart: Protecting inference with F5 Distributed Cloud and Red Hat AI 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 our previous article Context as architecture: A practical look at retrieval-augmented generation , we treated retrieval-augmented generation (RAG) as an architectural idea. We explored why retrieval exists, how it changes the system around a language model, and where its boundaries lie.
#kubernetes - 2026-03-05VMware Cloud Foundation Blog
The Hierarchy of Modern Infrastructure: Mastering Namespaces in VMware Cloud Foundation, vSphere Kubernetes Service, and VCF Automation
Layer 1: The VCF Automation Project (the Governance Layer) Layer 2: The vSphere Namespace (The Resource Boundary) Layer 3: The VKS Namespace (the Workload Layer) Operational Reality: Putting it All Together The Architecture Advantage: Why Structure (and Deletion) Matters Step 1: The Governance Layer – Business and Policy Tier (VCF Automation) Step 2: The Infrastructure Layer – Resource and Security Tier (vSphere Namespace) Step 3: The Workload Layer – Platform Tier (VKS Cluster) Step 4: The Application Layer (Kubernetes Namespace) Operationalizing the Design: How Broadcom Professional Services Assists Discover more from VMware Cloud Foundation (VCF) Blog Related Articles The Hierarchy of Modern Infrastructure: Mastering Namespaces in VMware Cloud Foundation, vSphere Kubernetes Service, and VCF Automation Mastering Application Migration to VKS: Patterns and Best Practices Case Study: Navigating VKS Upgrades – Balancing Infrastructure Constraints and Application Reality In the traditional vSphere environment, we functioned within a hierarchy of folders and resource pools. With the adoption of VMware Cloud Foundation (VCF) and especially VCF 9, the “Namespace” has emerged as the fundamental building block.
#vmware #cloud-foundation #kubernetes - 2026-03-05Digital Ocean
Native .NET Buildpack Support is Now Available on App Platform
Native. NET Buildpack Support is Now Available on App Platform Benefits How Detection Works Supported Runtimes How to Get Started About the author Try DigitalOcean for free Related Articles Supabase Template is Now Available on DigitalOcean App Platform Expanding our Agentic Inference Cloud: Introducing GPU Droplets Powered by AMD Instinct™ MI350X GPUs DigitalOcean Gradient™ AI Platform Now Integrates with LlamaIndex By Bikram Gupta Published: March 5, 2026 3 min read The.
#kubernetes - 2026-03-05VMware Cloud Foundation Blog
Building the Foundation for Private AI: Why Data Sovereignty Matters
Data Sovereignty: The Solution to the Private AI Dilemma Why Locality Wins: The Case for Data Gravity DSM: The Secure, AI-Ready Data Layer Conclusion: No Strong AI Without a Strong Data Foundation Discover more from VMware Cloud Foundation (VCF) Blog Related Articles Building the Foundation for Private AI: Why Data Sovereignty Matters Day 2 Operations for AI Blueprints in VCF Automation Announcing the General Availability of Holodeck 9.0.2 The potential of generative AI (GenAI) to revolutionize business processes is undeniable. From automated customer service agents to complex internal business intelligence, the use cases for this technology are expansive.
#vmware #cloud-foundation #kubernetes - 2026-03-05VMware Cloud Foundation Blog
Day 2 Operations for AI Blueprints in VCF Automation
Overview Editing a Blueprint in VCF Automation Blueprint Layout cloudInit and the dl_app. sh script Working with variables Testing a template Working in the deployed DLVM Editing a Form Publishing to the Catalog Overall Recommendations Resources Discover more from VMware Cloud Foundation (VCF) Blog Related Articles Building the Foundation for Private AI: Why Data Sovereignty Matters Day 2 Operations for AI Blueprints in VCF Automation Announcing the General Availability of Holodeck 9.0.2 This is part three of six in a multi-blog series providing a practitioner’s guide to VMware Private AI Foundation with NVIDIA.
#vmware #cloud-foundation #kubernetes - 2026-03-05CNCF
The great migration: Why every AI platform is converging on Kubernetes
Three eras, one platform Foundation: Data processing at scale Orchestration: Connecting the pipeline Training: Gang scheduling and resource coordination Serving: Inference at scale Agentic workloads: Building the agent operating system Optimizing for the GPU economy Multi-cluster orchestration and AI conformance What’s next: Innovations driven by AI scale The path forward Posted on March 5, 2026 by Sabari Sawant, Amazon CNCF projects highlighted in this post When Kubernetes launched a decade ago, its promise was clear: make deploying microservices as simple as running a container. Fast forward to 2026, and Kubernetes is no longer “just” for stateless web services.
#cncf