Docs

Curated Kubernetes content from AKS, EKS, GKE, OpenShift, Rancher/K3s and more—auto‑aggregated daily.

  • 2025-11-26
    AWS Containers Blog (EKS)

    Data-driven Amazon EKS cost optimization: A practical guide to workload analysis

    Data-driven Amazon EKS cost optimization: A practical guide to workload analysis Common pattern of resource waste The greedy workload caused oversized pod resources Problem: Impact: Resolution: Recommendations: Tools to help with this: The pet workload causes excessive replica counts Problem: Impact: Overly strict topology spread constraints: Recommendation: Overly strict Pod Distribution Budget (PDB): Recommendations: The isolated workloads configured with fragmented node pools Why the savings occur: Recommendations: Conclusion About the authors This post introduces some of the key considerations for optimizing Amazon Elastic Kubernetes Service (Amazon EKS) costs in production environments. Through detailed workload analysis and comprehensive monitoring, we demonstrate a proven best practice to maximize cost savings while maintaining performance and resilience supported by real-world examples and practical implementation guidelines.

    #eks #aws
  • 2025-11-26
    OpenShift Blog

    How educators and Red Hat Academy help shape the next generation of IT leaders

    How educators and Red Hat Academy help shape the next generation of IT leaders Red Hat Academy: The educator's platform The educator's impact: From classroom to innovation hub What's in it for the student? Get started with Red Hat Academy Red Hat Learning Subscription | Product Trial About the author Syed S Ahmed More like this Listening, learning, and leading: How customer feedback shapes the future of Red Hat Learning Subscription Red Hat Learning Subscription: Expert chat for premium and standard users A vested interest in 5G | Technically Speaking Keep exploring Browse by channel Automation Artificial intelligence Open hybrid cloud Security Edge computing Infrastructure Applications Virtualization Share Technology is the fundamental foundation of modern business and the catalyst for career advancement. While students seek skills that inspire innovation and leadership, it's the educator who specializes in making the transformation possible.

    #openshift
  • 2025-11-26
    Kubernetes Blog

    Kubernetes v1.35 Sneak Peek

    Kubernetes v1.35 Sneak Peek Deprecations and removals for Kubernetes v1.35 cgroup v1 support Deprecation of ipvs mode in kube-proxy Kubernetes is deprecating containerd v1. y support Featured enhancements of Kubernetes v1.35 Node declared features In-place update of Pod resources Pod certificates Numeric values for taints User namespaces Support for mounting OCI images as volumes Want to know more? Get involved As the release of Kubernetes v1.35 approaches, the Kubernetes project continues to evolve.

    #kubernetes
  • 2025-11-25
    Digital Ocean

    Streamline Your Workflow: Announcing Environment Support for DigitalOcean App Platform

    Streamline Your Workflow: Announcing Environment Support for DigitalOcean App Platform The Core Concept Configuring Environments in the UI Managing Environments with doctl Step 1: Create an Environment-Tagged Project Step 2: Create an App and Assign it to the Project Step 3: Find an App’s Environment Accelerate Your Workflow with App Cloning Start Organizing About the author(s) Try DigitalOcean for free Related Articles Evaluate your AI agents faster and more effectively GPU Observability: Get Deeper Insights into Your Droplets and DOKS Clusters Image and audio models from fal now available on DigitalOcean By Waverly Swinton and Bikram Gupta Published: November 25, 2025 5 min read As developers, we love building, but we also know that as an application portfolio grows, managing it gets complicated. The line between your production services, your staging environment, and your new feature-branch deployments can blur.

    #kubernetes
  • 2025-11-25
    VMware Cloud Foundation Blog

    Reducing Harbor Deployment Complexity on Kubernetes

    Deploying Harbor on Kubernetes using Helm Prerequisites Step 1: Download Harbor Deployment Manifests Step 2: Configure values. yaml Step 3: Deploy Harbor Step 4: Verify Harbor Installation Leveraging VKS Standard Packages for Harbor setup Prerequisites: Step 1: Associate a VKS Standard Package Repository Step 2: Deploy Prerequisites (For Production-Ready Harbor) Step 3: Deploy Harbor Step 4: Verify Harbor Installation Deploying Harbor as a Supervisor Service in VCF 9 Prerequisites Step 1: Download and Update the Harbor Supervisor Service YAML Step 2: Deploy the Harbor Supervisor Service Step 3: Monitor the Harbor Supervisor Service Deployment Conclusion Discover more from VMware Cloud Foundation (VCF) Blog Related Articles Harbor: Your Enterprise-Ready Container Registry for a Modern Private Cloud VCF Breakroom Chats Episode 75 - Breaking the GitOps Barrier: Continuous Delivery for Modern Apps with VCF 9 What’s Next for Cloud Native: Highlights from KubeCon North America 2025 Harbor is an indispensable open-source container image registry, offering robust features like policy-driven security, role-based access control (RBAC), vulnerability scanning, image signing, image replication and distribution.

    #vmware #cloud-foundation #kubernetes
  • 2025-11-25
    KodeKloud Blog (Kubernetes)

    CKAD Exam Verification Guide

    Join 1M+ Learners Exam Setup - The Speed Booster (Optional, But Highly Recommended!) Should you set this up? Good news about autocomplete: The time-saving aliases: Configure vim for YAML editing: Recommendation: 1. Application Design and Build (20% of the exam) Container Images Workload Resources Multi-Container Pod Patterns Persistent and Ephemeral Volumes 2.

    #kodekloud #kubernetes
  • 2025-11-25
    Kubernetes Blog

    Kubernetes Configuration Good Practices

    Kubernetes Configuration Good Practices General configuration practices Use the latest stable API version Store configuration in version control Write configs in YAML not JSON Keep configuration simple and minimal Group related objects together Add helpful annotations Managing Workloads: Pods, Deployments, and Jobs Use Deployments for apps that should always be running Use Jobs for tasks that should finish Service Configuration and Networking Create Services before workloads that use them Use DNS for Service discovery Avoid hostPort and hostNetwork unless absolutely necessary Use headless Services for internal discovery Working with labels effectively Use semantics labels Use common Kubernetes labels Manipulate labels for debugging Handy kubectl tips Apply entire directories Use label selectors to get or delete resources Quickly create Deployments and Services Conclusion Configuration is one of those things in Kubernetes that seems small until it's not. Configuration is at the heart of every Kubernetes workload.

    #kubernetes
  • 2025-11-24
    Tigera

    5 Reasons to Switch to the Calico Ingress Gateway (and How to Migrate Smoothly)

    The End of Ingress NGINX Controller is Coming: What Comes Next? Reason 1: The Future Is Gateway API and Ingress Is Being Left Behind Reason 2: Production-Grade Envoy for Performance & Reliability Reason 3: Built-In Web Application Firewall (WAF) & L3–L7 Security Reason 4: Advanced Traffic Management Out of the Box Reason 5: A Smooth Migration Path Using Standard Gateway API Resources Why Migrate to the Calico Ingress Gateway? Migration Prerequisites Best Practices for a Smooth Migration Migration Workflow Overview 1️⃣ Step 1: Enable the Calico Ingress Gateway 2️⃣ Step 2: Create Your Gateway 3️⃣ Step 3: Convert Ingress resources to HTTPRoutes 4️⃣ Step 4: Validate and Redirect Traffic Integrating Calico Network Policy The Ingress NGINX Controller is approaching retirement , which has pushed many teams to evaluate their long-term ingress strategy. The familiar Ingress resource has served well, but it comes with clear limits: annotations that differ by vendor, limited extensibility, and few options for separating operator and developer responsibilities.

    #tigera
  • 2025-11-24
    OpenShift Blog

    The new era of customer and AI-driven network investment

    The new era of customer and AI-driven network investment A new model for network intelligence Industry collaboration drives innovation The path to business value through customer and AI-driven network investments Continuous improvement The adaptable enterprise: Why AI readiness is disruption readiness About the authors Rob McManus Nobuhiko Nagataki Sam Sun Wilson Toh Masaya Muraki Atul Deshpande More like this A 5-step playbook for unified automation and AI AI ambitions meet automation reality: The case for a unified automation platform Technically Speaking | Platform engineering for AI agents Technically Speaking | Driving healthcare discoveries with AI Keep exploring Browse by channel Automation Artificial intelligence Open hybrid cloud Security Edge computing Infrastructure Applications Virtualization Share Telecommunication service providers face the challenge of maximizing return on investment (ROI) on massive 5G investments. Efficient infrastructure deployment is particularly difficult in areas with real-time demand fluctuations, such as stadiums and tourist spots.

    #openshift
  • 2025-11-24
    OpenShift Blog

    Unifying multivendor DPUs in Red Hat OpenShift

    Unifying multivendor DPUs in Red Hat OpenShift A unified management platform for diverse hardware Standardized discovery through abstraction Deploying workloads with Kubernetes-native primitives Enabling true workload portability and interoperability What this means for Red Hat customers Red Hat OpenShift Container Platform | Product Trial About the author Balazs Nemeth More like this File encryption and decryption made easy with GPG Red Hat OpenShift Service on AWS supports Capacity Reservations and Capacity Blocks for Machine Learning Technically Speaking | Platform engineering for AI agents Technically Speaking | Driving healthcare discoveries with AI Keep exploring Browse by channel Automation Artificial intelligence Open hybrid cloud Security Edge computing Infrastructure Applications Virtualization Share Data Processing Units (DPUs) represent a significant evolution in datacenter architecture. By offloading infrastructure tasks like networking, security, and storage from the main CPU, they promise to unlock new levels of cloud capabilities.

    #openshift