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Curated Kubernetes content from AKS, EKS, GKE, OpenShift, Rancher/K3s and more—auto‑aggregated daily.
- 2026-03-16CNCF
Registry Mirror Authentication with Kubernetes Secrets
Using the credential provider with OpenShift 4.21 OpenShift 4.22+: CRIOCredentialProviderConfig API Conclusion Posted on March 16, 2026 by Sascha Grunert, Red Hat CNCF projects highlighted in this post Part II: A Platform Integration Example In Part I, we explored the architecture of the CRI-O credential provider and walked through a manual setup. In this part, we’ll see how platforms like OpenShift and its upstream open-source project OKD integrate the credential provider natively, making deployment simpler.
#cncf - 2026-03-16Redhat Blog
Accelerate enterprise software development with NVIDIA and Model-as-a-Service (MaaS) on Red Hat AI
Accelerate enterprise software development with NVIDIA and Model-as-a-Service (MaaS) on Red Hat AI Models-as-a-Service: Enterprise AI on your terms Launch your own private AI code assistant today with our new AI quickstart What’s in the AI quickstart? Key benefits 1. Predictable cost and budget control 2.
#kubernetes - 2026-03-16Redhat Blog
Bringing Nemotron models to the Red Hat AI Factory with NVIDIA
Bringing Nemotron models to the Red Hat AI Factory with NVIDIA From infrastructure to intelligence: Accelerating AI mainstream enterprise adoption Bringing NVIDIA Nemotron to the enterprise The future is open The adaptable enterprise: Why AI readiness is disruption readiness About the authors Rob Greenberg Tyler Michael Smith More like this The efficient enterprise: Scaling intelligence with Mixture of Experts Red Hat and NVIDIA collaborate for a more secure foundation for the agent-ready workforce 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 Following the successful launch of the Red Hat AI Factory with NVIDIA , Red Hat is pleased to announce the latest update in our collaboration with NVIDIA – delivering Day 0 support for the NVIDIA Nemotron open model family on the Red Hat AI Factory with NVIDIA. With this effort, we are providing a fully optimized, open source pathway for enterprise-grade generative AI.
#kubernetes - 2026-03-16Redhat Blog
Building the hybrid AI factory of the future: Red Hat achieves AI Cloud Ready status for the NVIDIA Cloud Partner (NCP) program
Building the hybrid AI factory of the future: Red Hat achieves AI Cloud Ready status for the NVIDIA Cloud Partner (NCP) program Enabling Anything-as-a-Service (XaaS) frameworks The path to AI independence and sovereignty The adaptable enterprise: Why AI readiness is disruption readiness About the author Ryan King More like this The efficient enterprise: Scaling intelligence with Mixture of Experts Red Hat and NVIDIA collaborate for a more secure foundation for the agent-ready workforce 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 Navigating the complexities of AI infrastructure shouldn’t be a barrier to innovation. Red Hat has completed the first phase of AI Cloud Ready status for the NVIDIA Cloud Partner (NCP) program to help address the increasing complexities of AI.
#kubernetes - 2026-03-16Redhat Blog
Operationalizing "Bring Your Own Agent" on Red Hat AI, the OpenClaw edition
Operationalizing "Bring Your Own Agent" on Red Hat AI, the OpenClaw edition What Red Hat AI provides Repurposing cloud-native to agent-native Making agents safer and ready for production Observability, tracing, and evaluation Governing tool calls at scale Choosing API surfaces for production agents Agent lifecycle with Kagenti This series The adaptable enterprise: Why AI readiness is disruption readiness About the author Adel Zaalouk More like this The efficient enterprise: Scaling intelligence with Mixture of Experts Red Hat and NVIDIA collaborate for a more secure foundation for the agent-ready workforce 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 The AI agent world is messy. Teams are reaching for LangChain , LlamaIndex , CrewAI , AutoGen , or building custom solutions from scratch.
#kubernetes - 2026-03-16Redhat Blog
Red Hat and NVIDIA collaborate for a more secure foundation for the agent-ready workforce
Red Hat and NVIDIA collaborate for a more secure foundation for the agent-ready workforce NVIDIA OpenShell: Infrastructure-enforced agentic safety A growing portfolio of agentic security The adaptable enterprise: Why AI readiness is disruption readiness About the author Joe Fernandes More like this The efficient enterprise: Scaling intelligence with Mixture of Experts Bringing Nemotron models to the Red Hat AI Factory with NVIDIA 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 already a few short years, AI technology has evolved from basic chat completions to autonomous, long-running agents. This poses a challenge for IT teams who need to enable their builders to innovate while also providing guardrails and controls to reduce enterprise risk.
#kubernetes - 2026-03-13Digital Ocean
Scaling Autonomous Site Reliability Engineering: Architecture, Orchestration, and Validation for a 90,000+ Server Fleet
Scaling Autonomous Site Reliability Engineering: Architecture, Orchestration, and Validation for a 90,000+ Server Fleet How does CW Copilot work? AI SRE Agent Orchestration Layer DigitalOcean serverless inference Post generation insight review What we learned during this journey Identifying the Right Problems to Get the Most Out of AI Fine-Tuning is (almost) always an overkill Use the Right Tool for the Right Job Accept Non-Determinism Don’t Underestimate the AI Don’t Overestimate AI Either Avoid the Sunk Cost Trap Why choose DigitalOcean Gradient™ AI Platform Powering AI Agents at Scale About the author Try DigitalOcean for free Related Articles Prompt Caching for Anthropic and OpenAI Models: Building Cost-Efficient AI Systems How DigitalOcean’s Agentic Inference Cloud powered by NVIDIA GPUs Achieved 67% Lower Inference Costs for Workato DigitalOcean Gradient™ AI GPU Droplets Optimized for Inference: Increasing Throughput at Lower the Cost By Najmus Saqib Updated: March 13, 2026 6 min read As Cloudways scaled from a bootstrapped startup to a leading managed PHP hosting service, one of the biggest challenges we encountered was the growing support load. Managing a fleet of over 90,000 servers and half a million applications means thousands of support requests, requiring a team of hundreds of human support agents.
#kubernetes - 2026-03-13CNCF
KubeCon + CloudNativeCon Europe 2026 Co-located Event Deep Dive: Observability Day
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 13, 2026 by Co-chairs: Austin Parker, Eduardo Silva, Juraci Paixão Kröhling, Iris Dyrmishi CNCF projects highlighted in this post Observability Day has become a cornerstone gathering for the cloud native observability community. The event evolved from FluentCon at KubeCon Europe 2022 in Valencia and Open Observability Day at KubeCon North America 2022, bringing together maintainers and practitioners from projects such as Prometheus, Fluentd, Fluent Bit, OpenTelemetry, and Jaeger.
#cncf - 2026-03-13Redhat Blog
Friday Five — March 13, 2026
Friday Five — March 13, 2026 vLLM Semantic Router: Signal driven decision routing for mixture-of-modality models Techstrong. ai - Red Hat Extends AI Reach Deeper into the Enterprise Scaling the future of Open RAN: Red Hat joins the OCUDU Ecosystem Foundation Fierce Network - Red Hat drives toward cloud-native and AI-ready telcos How does real-world AI deliver value? The Ask Red Hat example About the author Red Hat Corporate Communications More like this Enable intelligent insights with Red Hat Satellite MCP Server Fedora 44 Beta now available 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 As LLMs diversify across modalities, capabilities and cost profiles, the problem of intelligent request routing—selecting the right model for each query at inference time—has become a critical systems challenge.
#kubernetes - 2026-03-13Redhat Blog
Subscription watch: Managing your hybrid cloud estate
Subscription watch: Managing your hybrid cloud estate A simple onboarding journey to visibility Registering core systems Automated metering for managed services Centralized inventory via Red Hat Satellite Core capabilities: Turning data into strategy Real-time current usage versus thresholds Deep historical analysis Identifying usage hotspots Exporting data for reporting and analysis No more surprises: Proactive notifications Security and privacy: Data that pushes, never pulls Start maximizing your value today Red Hat Learning Subscription | Product Trial About the authors Gagan Kumar Arianna Gallagher More like this Metrics that matter: How to prove the business value of DevEx New observability features in Red Hat OpenShift 4.21 and Red Hat Advanced Cluster Management for Kubernetes 2.16 The C Change | Command Line Heroes Becoming a Coder | Command Line Heroes Keep exploring Browse by channel Automation Artificial intelligence Open hybrid cloud Security Edge computing Infrastructure Applications Virtualization Share Managing a hybrid cloud environment spanning on-premise data centers, edge deployments, and multiple public clouds often results in subscription sprawl. Even in simpler environments, it can be challenging to maintain clear visibility into subscription use.
#kubernetes