A decade of building and scaling enterprise API platforms — on-prem, hybrid, Kubernetes, and serverless. These are the scars that shaped how I think about architecture, governance, and the true cost of getting infrastructure decisions wrong.
The patterns that work in API ecosystems are the same patterns that will determine whether enterprise AI scales safely or collapses. The skills transfer. The lessons are timestamped here.
Series Context This article is part of a series on governance architecture: From On-Prem Greenfields → Enterprise Modernization: 10-Year API Gateway Lessons (this article) — The scars that shaped this thinking The AI Gateway: Governance as Enterprise Infrastructure — The diagnosis GATES — The 5 Gates Every AI Gateway Needs — The prescription From On-Prem Greenfields ➡️ Enterprise Modernization: 10-Year API Gateway Lessons My API Gateway journey My API Gateway journey began almost a decade ago inside a Fortune‑150 enterprise, delivering two back‑to‑back Apigee on‑prem greenfield implementations. After years of scaling Apigee under real SLAs and real outages, the inevitable question surfaced: What replaces Apigee on‑prem? ...