#infrastructure

A deep technical guide to building low-latency, globally distributed systems on edge runtimes, from CDN functions to stateful Durable Objects.

Hard-won lessons on running Kubernetes at scale, from cluster architecture and RBAC to cost optimization and real production pitfalls.

GPUs get the headlines, but inference serving, networking, and observability are where AI systems actually win or lose. Here's what the stack looks like now.