Notes on software, architecture, and the details that make systems work. Written from experience, shared for the next build.
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.
