Docs
Curated Kubernetes content from AKS, EKS, GKE, OpenShift, Rancher/K3s and more—auto‑aggregated daily.
- 2026-02-10VMware Cloud Foundation Blog
Solving the “Shadow IT” Database Problem
What is Shadow IT? The “Best of Both Worlds” Approach Governance by Design: The Guardrail Model Zero Trust and Infrastructure Integration The Strategic Pivot Discover more from VMware Cloud Foundation (VCF) Blog Related Articles Newly Updated Technical Guides: MS SQL Server and ADDS on VMware Cloud Foundation Advanced Cyber Compliance: Security, Compliance, and Resilience for VCF A Closer Look at VMware Cloud Foundation Advanced Services If you walk the halls of your development wing (or browse their Slack channels), you might find that your organization is running far more databases than you think. They aren’t in your CMDB, they aren’t being backed up by your central backup solution, and they weren’t provisioned by your team.
#vmware #cloud-foundation #kubernetes - 2026-02-10VMware Cloud Foundation Blog
Modernizing Your Infrastructure: A Practical Framework for VKS on VMware Cloud Foundation
Phased Methodology for Platform Evolution 1. Assess, Plan, and Pilot 2.
#vmware #cloud-foundation #kubernetes - 2026-02-10Digital Ocean
The Container paradox: Why the Inference Cloud Demands a “Decoupled” Database
The Container paradox: Why the Inference Cloud Demands a “Decoupled” Database The Inference Cloud demands a new standard The “stateful” friction Why Managed Kubernetes + Managed Databases (the “attach” architecture) are the cheat code for the Inference Cloud Focus on your core, not the complex “plumbing” Ready to simplify your stack? About the author(s) Try DigitalOcean for free By Kang Xie , Nicole Ghalwash , and Zach Peirce Published: February 10, 2026 5 min read Kubernetes has won the cloud-native war for a reason: it’s one of, if not the most powerful tool we have for scaling applications and ensuring they stay up when unexpected things happen. But as we move into the era of the Inference Cloud, we’ve fallen into a trap.
#kubernetes - 2026-02-10Redhat Blog
Maximizing your experience: Top 6 benefits of having a Red Hat account
Maximizing your experience: Top 6 benefits of having a Red Hat account Unlock the full Red Hat experience 1. Personalized dashboard access 2.
#kubernetes - 2026-02-09Digital Ocean
Heroku’s Next Chapter Is Maintenance. Yours Shouldn’t Be
Heroku’s Next Chapter Is Maintenance. Yours Shouldn’t Be “Just Migrate” Is Easy to Say.
#kubernetes - 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