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Curated Kubernetes content from AKS, EKS, GKE, OpenShift, Rancher/K3s and more—auto‑aggregated daily.
- 2026-01-29Redhat Blog
Context as architecture: A practical look at retrieval-augmented generation
Context as architecture: A practical look at retrieval-augmented generation From conversation to context RAG as a system, not a feature Why retrieval is harder than it looks Why enterprises adopt RAG anyway Where RAG stops Looking ahead The adaptable enterprise: Why AI readiness is disruption readiness About the authors Frank La Vigne Robbie Jerrom More like this Sovereign AI architecture: Scaling distributed training with Kubeflow Trainer and Feast on Red Hat OpenShift AI AI quickstarts: An easy and practical way to get started with 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 a previous article, The strategic choice: Making sense of LLM customization , we explored AI prompting as the first step in adapting large language models (LLMs) to real-world use. Prompting changes how an AI model responds in terms of tone, structure, and conversational behavior without changing what the model knows.
#kubernetes - 2026-01-29Redhat Blog
From if to how: A year of post-quantum reality
From if to how: A year of post-quantum reality The victory: RHEL is the anchor The reality check: Apps and hardware are the brake The unexpected win: Skeleton hunting 2026: From discovery to standardization Take a page from our book 1. Inventory is archaeology, not just a scanning effort 2.
#kubernetes - 2026-01-29Redhat Blog
How Banco do Brasil uses hyperautomation and platform engineering to drive efficiency
How Banco do Brasil uses hyperautomation and platform engineering to drive efficiency Scalability through capabilities and hyperautomation Driving sustainability with FinOps and GreenOps Transforming the developer experience Accelerating the journey with artificial intelligence Start your own automation journey 5 steps to automate your business About the author Debbie Margulies More like this 2025 Red Hat Ansible Automation Platform: A year in review New observability features in Red Hat OpenShift 4.20 and Red Hat Advanced Cluster Management 2.15 Technically Speaking | Taming AI agents with observability You Can’t Automate Cultural Change | Code Comments Keep exploring Browse by channel Automation Artificial intelligence Open hybrid cloud Security Edge computing Infrastructure Applications Virtualization Share At the recent OpenShift Commons gathering in Atlanta, we had the opportunity to hear from Gustavo Fiuza, IT leader, and Welton Felipe, DevOps engineer, about the remarkable digital transformation at Banco do Brasil. As the second-largest bank in Latin America, they manage a massive scale, serving 87 million customers and processing over 900 million business transactions daily.
#kubernetes - 2026-01-29Kubernetes Blog
Ingress NGINX: Statement from the Kubernetes Steering and Security Response Committees
Ingress NGINX: Statement from the Kubernetes Steering and Security Response Committees In March 2026, Kubernetes will retire Ingress NGINX, a piece of critical infrastructure for about half of cloud native environments. The retirement of Ingress NGINX was announced for March 2026, after years of public warnings that the project was in dire need of contributors and maintainers.
#kubernetes - 2026-01-28Tigera
Why Kubernetes Flat Networks Fail at Scale—and Why Your Cluster Needs a Security Hierarchy
The Limits of Flat Networking Change Gridlock and Compliance Gaps Bringing Order with Tiers and Staged Policies 1. Calico Tiers: Hierarchical Policy Management 2.
#tigera - 2026-01-28Nirmata Blog
What’s the Difference Between Kyverno and OPA Gatekeeper?
What’s the Difference Between Kyverno and OPA Gatekeeper? High-Level Difference Between Kyverno and OPA Gatekeeper Policy Language: YAML vs Rego Kubernetes-Native by Design Built-In Mutation and Resource Generation Developer Experience and Adoption Operational Simplicity at Scale Kyverno vs OPA Gatekeeper: Feature Comparison When Kyverno Is the Better Choice Where OPA Gatekeeper Still Fits Kyverno’s Origin: Built by Kubernetes Practitioners Final Takeaway Kyverno Works Best with Nirmata When evaluating Kubernetes policy engines, Kyverno and OPA Gatekeeper are often compared. While both enable Policy as Code, Kyverno was purpose-built for Kubernetes , while OPA Gatekeeper adapts a general-purpose policy engine for Kubernetes use.
#nirmata #kubernetes - 2026-01-28Nirmata Blog
CNCF Annual Cloud Native Survey 2025: Kubernetes Is Becoming the Default AI Runtime – But “AI Platform Readiness” Is the Real Differentiator
CNCF Annual Cloud Native Survey 2025: Kubernetes Is Becoming the Default AI Runtime – But “AI Platform Readiness” Is the Real Differentiator The thesis is already happening: AI workloads are converging on Kubernetes AI maturity isn’t blocked by models — it’s blocked by delivery and operations The biggest blocker to AI adoption is governance-by-human (and culture absorbs the cost) Why Kubernetes-native policy becomes central in the AI era Why “we’ll build it ourselves” is a trap AI will reward platforms that make governance invisible and change safe A familiar pattern is playing out again. A decade ago, the big shift wasn’t “containers” themselves—it was everything that had to solidify around them: repeatable delivery, production operations, observability, and guardrails that made change safe, i.
#nirmata #kubernetes - 2026-01-28CNCF
Introducing Kthena: LLM inference for the cloud native era
The “Last Mile” Challenge of LLM Serving Kthena: The Intelligent Brain for Cloud Native Inference Core Features and Advantages 1. Production-Grade Inference Orchestration (ModelServing) 2.
#cncf - 2026-01-28Kubernetes Blog
Experimenting with Gateway API using kind
Experimenting with Gateway API using kind Overview Prerequisites Create a kind cluster Install cloud-provider-kind Experimenting with Gateway API Deploy a Gateway Deploy a demo application Create an HTTPRoute Test your route Troubleshooting Check the Gateway status Check the HTTPRoute status Check controller logs Cleanup Remove Kubernetes resources Stop cloud-provider-kind Delete the kind cluster Next steps A final word of caution This document will guide you through setting up a local experimental environment with Gateway API on kind. This setup is designed for learning and testing.
#kubernetes - 2026-01-27VMware Cloud Foundation Blog
Better Together: Modernizing Access Management with Symantec SiteMinder and VMware vSphere Kubernetes Service
The Challenge: Scaling Security at the Speed of Apps The Solution: A Unified Security Fabric How the Platforms Complement Each Other 1. Operational Simplicity for Cloud Admins 2.
#vmware #cloud-foundation #kubernetes