Misdiagnosed at Scale: Why Enterprise Database Bottlenecks Are an Architecture Problem, Not a Technology Problem
When enterprise systems slow to a crawl, the instinct is to blame the database and prescribe an expensive infrastructure overhaul. In reality, the root cause is almost always buried in architectural decisions made years before the first performance alert fired. This article provides CTOs and engineering leaders with a rigorous diagnostic framework to separate genuine capacity constraints from costly, preventable engineering failures.