platform engineering

A few months ago, I found myself looking at a Kubernetes cost report and a cloud invoice side by side. The numbers didn’t match. Not because of a bug or a calculation ...

GitOps won the deployment argument. Everything goes in Git, the cluster reconciles itself to match, and your repository becomes the one place that tells you what’s actually running. It’s clean and auditable ...

I’ve spent the better part of the last few years on the receiving end of Kubernetes pages, both as an operator and as someone building tooling for platform teams. The pattern I’ve ...

CoreOS introduced the operator pattern in November 2016, and nearly a decade later operators are everywhere. Almost every CNCF graduated project ships one, every database vendor offers one, and every platform team ...

Generative AI (GenAI) is moving into production, but native Kubernetes autoscaling is fundamentally broken for large language model (LLM) inference ...

Kubernetes is often described as “free,” but that assumption falls apart in production. What looks like a complete platform is only a foundation. Everything required to run real workloads reliably sits outside ...

At KubeCon + CNC 2026, Istio unveils Ambient Multicluster and the Gateway API Inference Extension to simplify AI infrastructure. Learn how sidecar-less mesh and agentgateway secure agentic workloads and boost deployment velocity ...

How platform teams can make cost efficiency a natural outcome of following the golden path — not a billing surprise discovered three weeks after deployment ...

Kubernetes networking failures are hard to diagnose. Learn how eBPF and Microsoft Retina provide real-time network observability across your cluster ...

Pod CPU and memory requests drive Kubernetes scheduling, autoscaling and cost allocation. Learn why rightsizing them improves cost control ...