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В рамках проекта etcd-operator сообщество развивает оператор для развёртывания и сопровождения кластеров etcd в Kubernetes. На днях он был передан проекту Cozystack (CNCF Sandbox)....
The etcd-operator project, which develops an operator for deploying and maintaining etcd clusters on Kubernetes, has been donated to the Cozystack project. Alongside the donation,...
Infrastructure provisioning in Kubernetes has become increasingly automated, but secret management often remains a challenge as environments grow. Organizations commonly separate d...
Run MLOps on Kubernetes: train with Kubeflow Trainer, serve with KServe, schedule GPUs with Kueue, autoscale with KEDA, and ship via GitOps.
After containerizing an application with Docker, the next logical step is deploying it on Kubernetes. Kubernetes helps automate application deployment, scaling, networking, and ma...
Linux provides powerful kernel-level security mechanisms, seccomp, SELinux, and AppArmor, that restrict what containerized workloads can do. Each uses profiles that define permitte...
Choosing an open source PostgreSQL operator for Kubernetes used to be a question about features and community size. In 2026, it has become a question about licensing posture, image...
<div><img width="300" height="300" src="https://blogs.vmware.com/wp-content/uploads/2026/06/Untitled_b24570.jpg" class="attachment-mediu...
Dynamic Resource Allocation (DRA) recently reached GA in Kubernetes v1.35, and I believe many of us are eager to give it a try. Adding to the momentum, NVIDIA has moved dra-driver-...
A CloudNativePG cluster that sits in Setting up primary forever, with zero error events on the Cluster resource and a perfectly healthy operator, is one of the more frustrating way...
Master Kubernetes interviews with top questions and answers on important topics with KodeKlode.
IntroductionContinue reading on Medium »
When we first started building kagent, we didn’t run every agent in its own Kubernetes Pod, Service, and ServiceAccount. Instead, agents were simply executed inside the kagent runt...
A practical walkthrough of running a self-hosted, read-only AI agent inside a Kubernetes cluster, with the full CI/CD chain handled by GitHub Actions and Argo CD Image Updater. No...
Kubernetes has become the backbone of modern cloud-native infrastructure. Its flexibility lets teams move fast, compose complex systems from modular components, and deploy across e...
Modern software delivery is no longer constrained by application code — it is constrained by the platform that runs it. This article presents the design of a cloud-native Internal...
Presented by Kasm TechnologiesEnterprise infrastructure teams have spent the better part of a decade pushing workloads into Kubernetes. Applications, APIs, batch jobs, data pipelin...
If you run GPU workloads on Kubernetes — vLLM, Triton, training jobs, or the newer agentic inference stacks — you’ve probably hit a familiar problem: the default autoscaling path s...
A hands-on Kubernetes tutorial for beginners: deploy your first app, expose and scale it, see self-healing, and use YAML with kubectl.
Learn how to run AI agents safely inside Kubernetes through sandboxing, RBAC, network policies, egress control, and observability for production.
What is kpt? The opening tagline of the kpt documentation describes it as “… a package-centric toolchain that enables a WYSIWYG configuration authoring, automation, and delivery ex...
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