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Curated Kubernetes content from AKS, EKS, GKE, OpenShift, Rancher/K3s and more—auto‑aggregated daily.
- 2026-02-03VMware Cloud Foundation Blog
Modern Automation with VMware Cloud Foundation Part 1: Push-Button Infrastructure Provisioning
The Challenge of DIY Automation: “The Frankenstein Approach” Leveraging VCF to Automate This Process What Does an SDDC Look Like? Real-World Examples of VCF Infrastructure Automation Stay Tuned for Part 2: Leveraging the VCF API for Infrastructure Automation Discover more from VMware Cloud Foundation (VCF) Blog Related Articles Modernizing EDA Infrastructure: Lessons from Samsung’s VCF Deployment How to Converge a VMware vSphere Environment to VMware Cloud Foundation 9.0 VCF Breakroom Chats Episode 83 – Designing Developer-Loved Platforms: What is an IDP? In a former life, I successfully automated ESX rollouts, livestock-style in what we’d call a “vSphere only” environment. The project was to automate the process of ESX bare-metal host provisioning: storage zoning, bare metal installation, ESX configuration, vCenter import, post-vCenter configuration, iPAM/CMDB and monitoring registration, and so on.
#vmware #cloud-foundation #kubernetes - 2026-02-03Kubernetes Blog
Introducing Node Readiness Controller
Introducing Node Readiness Controller Why the Node Readiness Controller? Core concepts and features Flexible enforcement modes Condition reporting Operational safety with dry run Example: CNI bootstrapping Getting involved In the standard Kubernetes model, a node’s suitability for workloads hinges on a single binary "Ready" condition. However, in modern Kubernetes environments, nodes require complex infrastructure dependencies—such as network agents, storage drivers, GPU firmware, or custom health checks—to be fully operational before they can reliably host pods.
#kubernetes - 2026-02-03Redhat Blog
Achieve more with Red Hat OpenShift 4.21
Achieve more with Red Hat OpenShift 4.21 AI Streamline AI workloads with Red Hat build of Kueue v1.2 Manage distributed workloads with JobSet Match workloads to GPU hardware with precision and flexibility Core Right-Sizing in hosted control planes Autoscale from/to zero on hosted control planes Run OpenShift on VMware Cloud Foundation 9 Bring OpenShift to your Oracle Database Appliance Deploy zero-trust workloads in Microsoft Azure and Microsoft Azure Red Hat OpenShift with Confidential Containers Virtualization Migrate virtual machines across clusters with zero downtime IPv6-only control plane and secondary network support OpenShift Virtualization on Google Cloud Configure virtual networks with enhanced Virtualization UI Troubleshoot VMs with Red Hat OpenShift Lightspeed Try Red Hat OpenShift 4.21 today Red Hat OpenShift Container Platform | Product Trial About the authors Duncan Hardie Ju Lim More like this Shadow-Soft shares top challenges holding organizations back from virtualization modernization Improving VirtOps: Manage, migrate or modernize with Red Hat and Cisco Browse by channel Automation Artificial intelligence Open hybrid cloud Security Edge computing Infrastructure Applications Virtualization Share Red Hat OpenShift 4.21, based on Kubernetes 1.34 and CRI-O 1.34 , is now generally available. Together with Red Hat OpenShift Platform Plus , this release demonstrates our continued commitment to delivering the trusted, comprehensive, and consistent application platform that enterprises rely on for production workloads across the hybrid cloud without compromising on security.
#kubernetes - 2026-02-02CNCF
OpenTelemetry Collector vs agent: How to choose the right telemetry approach
What are the main components of the OpenTelemetry architecture? What is the OpenTelemetry Collector? What makes Collector so useful? What is the OpenTelemetry agent? Where does it differ from the Collector? Feature-by-feature comparison OpenTelemetry Collector vs. agent Final recommendations Posted on February 2, 2026 by Neel Shah, Developer Advocate at Middleware CNCF projects highlighted in this post As cloud-native architectures continue to mature, observability has become a foundational requirement rather than an optional add-on.
#cncf - 2026-02-02Redhat Blog
Announcing general availability of SQL Server 2025 on Red Hat Enterprise Linux 10
Announcing general availability of SQL Server 2025 on Red Hat Enterprise Linux 10 Why SQL Server 2025 on RHEL 10? Production-ready support on RHEL 10 Enhancements for Linux-based SQL Server deployments Enable database creation and restore in Contained Availability Group sessions Enhanced observability for SQL Server on RHEL New Linux DMVs Next steps and further reading Red Hat Enterprise Linux | Product trial About the authors Vivien Wang Attinder Pal Singh More like this Red Hat Enterprise Linux now available on the AWS European Sovereign Cloud Getting started with socat, a multipurpose relay tool for Linux OS Wars_part 2: Rise of Linux | Command Line Heroes Days of Future Open | Command Line Heroes Keep exploring Browse by channel Automation Artificial intelligence Open hybrid cloud Security Edge computing Infrastructure Applications Virtualization Share The general availability (GA) of SQL Server 2025 on Red Hat Enterprise Linux 10 (RHEL) empowers enterprises to confidently deploy Microsoft SQL Server 2025 on Red Hat's latest enterprise Linux platform, combining Microsoft's modern, AI-ready database with the security, stability, and performance that RHEL is known for. Try it today on the Red Hat Ecosystem Catalog.
#kubernetes - 2026-02-02Redhat Blog
Cracking the inference code: 3 proven strategies for high-performance AI
Cracking the inference code: 3 proven strategies for high-performance AI The silent killer of AI return on investment: Inefficient inference 1. Tune the engine with vLLM High-throughput serving in action 2.
#kubernetes - 2026-02-02Redhat Blog
Fast and simple AI deployment on Intel Xeon with Red Hat OpenShift
Fast and simple AI deployment on Intel Xeon with Red Hat OpenShift Why AI on Xeon? Intel Xeon’s hardware features Xeon use case 1: AI inference Xeon use case 2: RAG and secure data processing Xeon use case 3: Agentic AI Xeon on OpenShift: What’s new Features vLLM CPU image AI quickstarts Next steps Red Hat AI About the author Alex Sin More like this AI insights with actionable automation accelerate the journey to autonomous networks Cracking the inference code: 3 proven strategies for high-performance 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 AI adoption and development have accelerated with generative and agentic AI reaching the masses. As new markets emerge, businesses have been struggling to take advantage of AI for real returns on investment.
#kubernetes - 2026-02-02Redhat Blog
General Availability for managed identity and workload identity on Microsoft Azure Red Hat OpenShift
General Availability for managed identity and workload identity on Microsoft Azure Red Hat OpenShift Why use managed identities? How to use managed identities Using identities for your applications What happens to managed identity clusters that were created during preview? Getting started Conclusion Red Hat OpenShift Container Platform | Product Trial About the author Oren Kashi More like this FedRAMP High Authorized Red Hat OpenShift Service on AWS GovCloud Red Hat OpenShift Service on AWS supports Capacity Reservations and Capacity Blocks for Machine Learning SREs on a plane | Technically Speaking Keep exploring Browse by channel Automation Artificial intelligence Open hybrid cloud Security Edge computing Infrastructure Applications Virtualization Share Support for managed identities and workload identities is now Generally Available (GA) for Microsoft Azure Red Hat OpenShift clusters. As a fully managed offering, Azure Red Hat OpenShift is a trusted, comprehensive and consistent application platform for building, deploying, and managing your applications at scale.
#kubernetes - 2026-02-02Redhat Blog
IT automation with agentic AI: Introducing the MCP server for Red Hat Ansible Automation Platform
IT automation with agentic AI: Introducing the MCP server for Red Hat Ansible Automation Platform What is MCP server for Ansible Automation Platform? How it works and why it matters Getting started Installation options Official documentation Available toolsets Next steps 5 steps to automate your business About the author Marty Turner More like this AI insights with actionable automation accelerate the journey to autonomous networks How Banco do Brasil uses hyperautomation and platform engineering to drive efficiency Technically Speaking | Taming AI agents with observability Building practical self-healing IT | Technically Speaking Keep exploring Browse by channel Automation Artificial intelligence Open hybrid cloud Security Edge computing Infrastructure Applications Virtualization Share As we continue to expand intelligence capabilities in Red Hat Ansible Automation Platform, we’ve made the MCP server available as a technology preview feature in Ansible Automation Platform 2.6.4. The MCP server acts as a bridge between your MCP client of choice and Ansible Automation Platform.
#kubernetes - 2026-01-30Tigera