Reviewing the technical evolution of this blog over a decade: from managed platforms and dynamic backends to a custom, zero-dependency Hugo architecture.

Your background jobs crash on deployment, fail silently, and corrupt data. Here's how to fix it with worker pools, retry strategies, idempotency, and graceful shutdown. A guide to building production background processing systems that don't break under load. Tested at 20 req/sec.

"The database that runs your app cannot be the database that analyzes your app". It's a hard lesson learned at scale. Early on, Postgres does it all. But as you hit massive scale, your analytics queries start killing your login APIs. This post breaks down the physics of Row-oriented (Couchbase) vs Column-oriented (ClickHouse) databases, and how to bridge them using Change Data Capture (CDC) for a robust, lag-free architecture.