Why Large-Scale Data Systems Break Quietly

Modern infrastructure can process massive amounts of data reliably. The difficult part is keeping distributed systems correct and understandable as they evolve. This post explores how schema drift, silent join corruption, asynchronous workflows, storage contracts, and cross-service assumptions become the real failure points at scale.