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- 2026-02-09CNCF
What CNCF Project Velocity in 2025 Reveals About Cloud Native’s Future
Project Velocity: Key Takeaways Posted on February 9, 2026 by Chris Aniszczyk, CTO, CNCF CNCF projects highlighted in this post Ten years into CNCF’s journey, one thing hasn’t changed: we still rely on real signals—open source contributions, real-world deployments, and community energy—to understand where we’re headed. Cloud native is now invisible infrastructure, quietly powering our everyday lives.
#cncf - 2026-02-09CNCF
Cluster API v1.12: Introducing in-place updates and chained upgrades
Emphasis on simplicity and usability In-place Updates Chained Upgrades Release team What’s next? Posted on February 9, 2026 by Fabrizio Pandini, Broadcom CNCF projects highlighted in this post Cluster API brings declarative management to Kubernetes cluster lifecycle, allowing users and platform teams to define the desired state of clusters and rely on controllers to continuously reconcile toward it. Similar to how you can use StatefulSets or Deployments in Kubernetes to manage a group of Pods, in Cluster API you can use KubeadmControlPlane to manage a set of control plane Machines, or you can use MachineDeployments to manage a group of worker Nodes.
#cncf - 2026-02-06Digital Ocean
Now Available: Anthropic Claude Opus 4.6 on DigitalOcean’s Agentic Inference Cloud
Now Available: Anthropic Claude Opus 4.6 on DigitalOcean’s Agentic Inference Cloud What Opus 4.6 unlocks Why Run Opus 4.6 on DigitalOcean Get started About the author Try DigitalOcean for free Related Articles Run Multiple OpenClaw AI Agents with Elastic Scaling and Safe Defaults — without Managing Infrastructure Introducing OpenClaw on DigitalOcean: One-Click Deploy, Security-hardened, Production-Ready Agentic AI Introducing Multiple Registry Support on DigitalOcean Container Registry By DigitalOcean Updated: February 6, 2026 2 min read Claude Opus 4.6 is now available on the DigitalOcean Gradient™ AI Platform via Serverless Inference—giving teams access to Anthropic’s most capable model on a platform built to run inference reliably at scale. Start using the new model now, via the API or in the DigitalOcean Cloud Console.
#kubernetes - 2026-02-06VMware Cloud Foundation Blog
Why VCF 9.0 Improves IT Operations and Management
VCF Operations 9.0 Management Capabilities License Management Lifecycle Management Certificate Management Password Management Integrated Monitoring Capabilities Diagnostic Findings Health Visibility Logs Analysis Storage Operations Network Operations Security Capabilities Security Operations Audit Events Resources Discover more from VMware Cloud Foundation (VCF) Blog Related Articles Newly Updated Technical Guides: MS SQL Server and ADDS on VMware Cloud Foundation Why VCF 9.0 Improves IT Operations and Management Global Support's VMware Cloud Foundation 9 - Paths to Adoption VMware Cloud Foundation (VCF) is a unified private cloud platform designed to host cloud native, AI, and traditional enterprise workloads. VCF uses a cloud operating model that combines the scale and agility of the public cloud with the security and performance of private cloud.
#vmware #cloud-foundation #kubernetes - 2026-02-06Digital Ocean
LLM Inference Benchmarking - Measure What Matters
LLM Inference Benchmarking - Measure What Matters Prefill and Decode: The two phases of Inference Metrics Time to First Token (TTFT) Time per Output Token (TPOT) Inter Token Latency (ITL) End to End Latency (E2EL) Token Throughput (TPS) Request Throughput (RPS) The Pareto Frontier Step 1: Establish a baseline Pareto frontier Step 2: Find the operating point Step 3: Push the Frontier Micro-benchmarks Memory Bandwidth (HBM / SRAM) Compute (GEMM) & Attention Kernels (Flash Attention, MHA, MLA etc) Collectives (NCCL / RCCL) Measure What Matters: From the First Principles About the author(s) Try DigitalOcean for free Related Articles Technical Deep Dive: How we Created a Security-hardened 1-Click Deploy OpenClaw Technical Deep Dive: How DigitalOcean and AMD Delivered a 2x Production Inference Performance Increase for Character. ai DoTs SDK Development: Automating TypeScript Client Generation By Piyush Srivastava , Karnik Modi , Stephen Varela , and Rithish Ramesh Updated: February 11, 2026 12 min read Production-grade LLM inference is a complex systems challenge, requiring deep co-designs - from hardware primitives (FLOPs, memory bandwidth, and interconnects) to sophisticated software layers - across the entire stack.
#kubernetes - 2026-02-06VMware Cloud Foundation Blog
Global Support’s VMware Cloud Foundation 9 – Paths to Adoption
Why VCF 9 Why upgrade/ adopt now Adoption Path Getting Starting with VCF 9 Private Cloud Maturity Model What’s New / Core functionality specific information. Gaining Practical Experience with VCF 9 Engaging Broadcom Support Services Achieving VCF Professional Certification Advanced Troubleshooting and Best Practices Key Resources and the VCF Community Discover more from VMware Cloud Foundation (VCF) Blog Related Articles Newly Updated Technical Guides: MS SQL Server and ADDS on VMware Cloud Foundation Why VCF 9.0 Improves IT Operations and Management Global Support's VMware Cloud Foundation 9 - Paths to Adoption Broadcom Global Support has created this essential guide for customers adopting VMware Cloud Foundation (VCF) 9.
#vmware #cloud-foundation #kubernetes - 2026-02-06VMware Cloud Foundation Blog
Modernizing EDA Infrastructure: Lessons from Samsung’s VCF Deployment
The Challenge: Memory Latency in Virtualization The Solution: Harnessing the Power of Huge Pages Performance Evaluation of Huge Pages Result Comparison Summary of Huge Page Settings Other Settings to Consider to Improve HPC Application Performance in VCF Determine When to Use Latency Sensitivity Mode Using High Speed Interconnect HCAs/NICs for MPI Workloads Maximum Memory Reservation for a User VM Reference 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? Authors: Yifan Hao, Yuankun Fu, Dongyun Heo, Jinsung Heo, Michael Furman, Rajesh Venkatasubramanian, Haoqiang Zheng, Kyung Min Park, Ramesh Radhakrishnan, Ashish Kaila, Yuichi Ui Samsung: Young-Jun Hong, Mokmin Park For organizations running Electronic Design Automation (EDA) workloads and High-Performance Computing (HPC) in virtualized environments, achieving near bare-metal performance is essential. One key challenge we identified is the performance impact caused by differences in memory access latency.
#vmware #cloud-foundation #kubernetes - 2026-02-06Redhat Blog
Accelerating VM migration to Red Hat OpenShift Virtualization: Hitachi storage offload delivers faster data movement
Accelerating VM migration to Red Hat OpenShift Virtualization: Hitachi storage offload delivers faster data movement Red Hat OpenShift Virtualization: Migrate once, modernize at your own pace The data migration bottleneck Faster migration: From months to days How storage offload works Enterprise DR capabilities for OpenShift Virtualization Open source by design Getting started 15 reasons to adopt Red Hat OpenShift Virtualization About the author Simon Seagrave More like this Achieve more with Red Hat OpenShift 4.21 Shadow-Soft shares top challenges holding organizations back from virtualization modernization Keep exploring Browse by channel Automation Artificial intelligence Open hybrid cloud Security Edge computing Infrastructure Applications Virtualization Share If you're modernizing your virtualization infrastructure, you've probably discovered that migrating thousands of virtual machines (VMs) takes far longer than anyone anticipated. For IT leaders who haven't overseen a VM migration in a decade or more, this long timeline often comes as a surprise.
#kubernetes - 2026-02-06CNCF
Dragonfly v2.4.0 is released
New features and enhancements Simple multi‑cluster Kubernetes deployment with scheduler cluster ID Performance and resource optimization for Manager and Scheduler components Enhanced preheating Calculate task ID based on image blob SHA256 to avoid redundant downloads Cache HTTP 307 redirects for split downloads Go Client deprecated and replaced by Rust client Significant bug fixes Nydus Others Links Dragonfly Github Posted on February 5, 2026 by epower CNCF projects highlighted in this post Dragonfly v2.4.0 is released! Thanks to all of the contributors who made this Dragonfly release happen. A two-stage scheduling algorithm combining central scheduling with node-level secondary scheduling to optimize P2P download performance, based on real-time load awareness.
#cncf - 2026-02-06Redhat Blog
Friday Five — February 6, 2026
Friday Five — February 6, 2026 Don't forget to register for Red Hat Summit Achieve more with Red Hat OpenShift 4.21 InfoWorld - AI agents and IT ops: Cowboy chaos rides again HealthTech - How health systems can optimize their virtualization strategy Cracking the inference code: 3 proven strategies for high-performance AI About the author Red Hat Corporate Communications More like this AI insights with actionable automation accelerate the journey to autonomous networks IT automation with agentic AI: Introducing the MCP server for Red Hat Ansible Automation Platform Data Security And AI | Compiler Data Security 101 | Compiler Keep exploring Browse by channel Automation Artificial intelligence Open hybrid cloud Security Edge computing Infrastructure Applications Virtualization Share Registration is now open for Red Hat Summit 2026 in Atlanta! Register by February 23 for the lowest rates, or save further with group discounts for three or more attendees from your organization. Secure your spot now for the best value.
#kubernetes