When AI agents become contributors: How KubeStellar reached 81% PR acceptance
In mid-December, I started building KubeStellar Console from scratch. It’s a multi-cluster management dashboard for Kubernetes, and it sits inside the KubeStellar project in the Cloud Native Computing Foundation (CNCF) Sandbox. The stack is Go on the back…
The challenge Flex CI & CD transformed software delivery at Adobe by making GitOps the foundation of how teams deploy and manage applications. We established Git as the source of truth, adopted declarative infrastructure and application…
Peer-to-Peer acceleration for AI model distribution with Dragonfly
The problem: AI model distribution is broken at scale Large-scale AI model distribution presents challenges in performance, efficiency, and cost. Consider a typical scenario: an ML platform team manages a Kubernetes cluster with 200 GPU nodes….
Ingress NGINX retirement: Experience from end users
During last November’s Kubecon + CloudNativeCon North America in Atlanta there was an announcement regarding the retirement of ingress-nginx. As mentioned in the original blog post, existing deployments of Ingress NGINX will continue to function and…
LLMs on Kubernetes Part 1: Understanding the threat model
Let’s say you’ve got an LLM running on Kubernetes. Pods are healthy, logs are clean, users are chatting. Everything looks fine. But here’s the thing: Kubernetes is great at scheduling workloads and keeping them isolated. It…
The weight of AI models: Why infrastructure always arrives slowly
As AI adoption accelerates across industries, organizations face a critical bottleneck that is often overlooked until it becomes a serious obstacle: reliably managing and distributing large model weight files at scale. A model’s weights serve as…
The platform under the model: How cloud native powers AI engineering in production
AI workloads are increasingly running on Kubernetes in production, but for many teams, the path from a working model to a reliable system remains unclear. The cloud native ecosystem – its projects, patterns, and community –…
Cloud native agentic standards
An application, composed of one or more containers as dictated by system architecture, that operates either independently or as part of a distributed collaboration—interacting with at least one other entity (container) or achieving quorum-based consensus. It…
Making etcd incidents easier to debug in production Kubernetes
Diagnosing and Recovering etcd: Practical tools for Kubernetes Operators When Kubernetes clusters experience serious issues, the symptoms are often vague but the impact is immediate. Control plane requests slow down. API calls begin to time out….
Exposing Spin apps on SpinKube with GatewayAPI
The Gateway API isn’t just an “Ingress v2”, it’s an entirely revamped approach for exposing services from within Kubernetes and eliminates the need of encoding routing capabilities into vendor-specific, unstructured annotations. In this post, we will…