In systems I have deployed and optimized over the past twelve years, the choice between synchronous and asynchronous I/O consistently ranks among the top three decisions that determine whether an application scales gracefully or collapses under load. Teams frequently underestimate two critical pain points. First, they treat I/O as an isolated concern rather than mapping its impact across the entire request lifecycle. Second, they default to synch