Architecture lessons, performance war stories, and engineering patterns from two decades of building production systems.
64
Articles
101
Topics
20+
Years XP
Training an ML model is the easy part. Serving it reliably in production — with proper input validation, versioning, monitoring, and scaling — is where the real engineering happens. Here's a battle-tested approach using FastAPI.
Real-time data pipelines sound simple: ingest data, process it, serve results. In production with gigabytes per second, every architectural decision compounds. These are the lessons learned the hard way.
Launching a Next.js application to production is more than just running next build. After deploying six Next.js apps to production, here's the comprehensive checklist I wish I had from the start — covering performance, security, SEO, and operational readiness.