Docs
Curated Kubernetes content from AKS, EKS, GKE, OpenShift, Rancher/K3s and more—auto‑aggregated daily.
- 2026-01-05CNCF
Deploying Harbor on Kubernetes using Helm
Why deploy Harbor on Kubernetes? Understanding Harbor architecture and components How these components work together: Deploying Harbor on Kubernetes using Helm Summary: Posted on January 5, 2026 by Dhruv Tyagi and Daniel Jiang, Broadcom CNCF projects highlighted in this post Harbor is an indispensable open-source container image registry, offering robust features like policy-driven security, role-based access control, vulnerability scanning, image signing, image replication and distribution. Deploying Harbor is a common and critical step for organizations looking to streamline their containerization workflows.
#cncf - 2026-01-05Redhat Blog
Accelerating success with the Red Hat Partner Program
Accelerating success with the Red Hat Partner Program Unleashing predictable and profitable incentives Evolving for recognition and growth Delivering autonomy and efficiency through digital transformation Empowering an ecosystem of innovators About the author Kevin Kennedy More like this F5 BIG-IP Virtual Edition is now validated for Red Hat OpenShift Virtualization Enhance workload security with confidential containers on Azure Red Hat OpenShift Bringing Deep Learning to Enterprise Applications | Code Comments Transforming Your Secrets Management | Code Comments Keep exploring Browse by channel Automation Artificial intelligence Open hybrid cloud Security Edge computing Infrastructure Applications Virtualization Share The Red Hat Partner Program continues to evolve with enhancements centered on the entire partner lifecycle and designed to deliver three core outcomes for partners: simplicity, predictability, and profitability. Today, we are excited to introduce the latest updates to the Red Hat Partner Program.
#kubernetes - 2026-01-05Redhat Blog
The AI resolution that will still matter in 2030
The AI resolution that will still matter in 2030 Clarity as the antidote Sustainability as a competitive advantage The adaptable enterprise: Why AI readiness is disruption readiness About the author Abigail Sisson More like this Smarter troubleshooting with the new MCP server for Red Hat Enterprise Linux (now in developer preview) Demystifying llm-d and vLLM: The race to production 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 New year, new pressure As a PMM, I spend a lot of time at the intersection of technology and the way we communicate it. It is my job to understand what companies shaping the AI infrastructure space are bringing to market, and also to pay attention to the why and how behind the way they talk about it.
#kubernetes - 2026-01-02Kubernetes Blog
Kubernetes v1.35: New level of efficiency with in-place Pod restart
Kubernetes v1.35: New level of efficiency with in-place Pod restart The problem: when a single container restart isn't enough and recreating pods is too costly Introducing the RestartAllContainers action Use cases 1. Efficient restarts for ML/Batch jobs 2.
#kubernetes - 2025-12-31Kubernetes Blog
Kubernetes 1.35: Enhanced Debugging with Versioned z-pages APIs
Kubernetes 1.35: Enhanced Debugging with Versioned z-pages APIs What are z-pages? What's new in Kubernetes 1.35? Backward compatible design Structured JSON responses Why structured responses matter 1. Automated health checks and monitoring 2.
#kubernetes - 2025-12-30Tigera
The Rise of AI Agents and the Reinvention of Kubernetes: Ratan Tipirneni’s 2026 Outlook
AI Agents Become First-Class Workloads API Governance Becomes Essential The Return of the Service Mesh Making Service Mesh Practical with Istio Ambient Mode Ingress Gives Way to Gateway APIs Gateway API: The Future of Kubernetes Ingress What’s Next? Prediction: The next evolution of Kubernetes is not about scale alone, but about intelligence, autonomy, and governance. As part of the article ‘ AI and Enterprise Technology Predictions from Industry Experts for 2026′ , published by Solutions Review, Ratan Tipirneni, CEO of Tigera, shares his perspective on how AI and cloud-native technologies are shaping the future of Kubernetes.
#tigera - 2025-12-30Kubernetes Blog
Kubernetes v1.35: Watch Based Route Reconciliation in the Cloud Controller Manager
Kubernetes v1.35: Watch Based Route Reconciliation in the Cloud Controller Manager What's new? About the feature gate How can I learn more? Up to and including Kubernetes v1.34, the route controller in Cloud Controller Manager (CCM) implementations built using the k8s. io/cloud-provider library reconciles routes at a fixed interval.
#kubernetes - 2025-12-29Kubernetes Blog
Kubernetes v1.35: Introducing Workload Aware Scheduling
Kubernetes v1.35: Introducing Workload Aware Scheduling Workload aware scheduling Workload API How gang scheduling works Opportunistic batching Restrictions The north star vision Getting started Learn more Scheduling large workloads is a much more complex and fragile operation than scheduling a single Pod, as it often requires considering all Pods together instead of scheduling each one independently. For example, when scheduling a machine learning batch job, you often need to place each worker strategically, such as on the same rack, to make the entire process as efficient as possible.
#kubernetes - 2025-12-29AWS Containers Blog (EKS)
Streamline your containerized CI/CD with GitLab Runners and Amazon EKS Auto Mode
Streamline your containerized CI/CD with GitLab Runners and Amazon EKS Auto Mode Solution overview Prerequisites Walkthrough Configuration files Get started Policies Cleaning up Conclusion About the authors Although Kubernetes offers scalability for GitLab Runner deployments, the operational overhead can’t be ignored. Organizations starting with containerized continuous integration/continuous development (CI/CD) without mature container practices often underestimate both the financial implications and security complexities.
#eks #aws - 2025-12-29AWS Containers Blog (EKS)
Part 2: Observing and scaling MLOps infrastructure on Amazon EKS
Part 2: Observing and scaling MLOps infrastructure on Amazon EKS The unique challenges of MLOps monitoring Understanding your ML hardware landscape NVIDIA GPUs with CUDA Key features for ML workloads Latest advancements (NVIDIA GPUs and AWS Custom silicon chips) Building your monitoring strategy framework Essential metrics by hardware type AWS Neuron specific metrics Implementing Prometheus for metrics collection Understanding Prometheus Prometheus exposition formats The kube-prometheus-stack Implementing scaling based on custom metrics Monitoring and scaling an application Visualizing ML operations with Grafana Monitoring with third party solutions Evaluation criteria Conclusion About the authors In part 1 of this series, Introduction to observing machine learning workloads on Amazon EKS , we established several key foundational concepts. We explored the fundamental differences between monitoring machine learning (ML) and traditional workloads, emphasizing how ML systems require more specialized metrics and granular monitoring.
#eks #aws