The AI Inference Networking Maturity Model
A vendor-neutral, five-level model for judging how ready your network is to serve AI inference at scale, scored across six dimensions.
Zero Trust
Service Mesh vs eBPF-Native Data Planes: How to Choose
Every platform team that runs Kubernetes past a few dozen services eventually has the service mesh vs eBPF argument, usually in a design review where one engineer points at fleet-wide CPU graphs and says the Envoy sidecars are costing too much, and another engineer points at a canary rollout ticket and says none of that … Read more
Zero Trust Networking Beyond the Buzzword: An Enterprise Reference Architecture
Every vendor booth at RSA sells “Zero Trust” like it’s a SKU. It isn’t. A zero trust network architecture is a set of design principles: identity-aware access, least privilege by default, policy enforced in the data path, and an assume-breach posture. It is not a box you rack, a license you renew, or an agent … Read more
eBPF in Production: Kernel-Level Observability and Security
Every platform team that has bolted a service mesh sidecar onto every pod eventually asks the same question: why run a full proxy per pod just to see and control traffic the kernel already handles? That question is what pushed a lot of us toward eBPF observability and security. Rather than stack another layer on … Read more