Synchronous vs Asynchronous Architecture

Explores the trade-offs between synchronous and asynchronous architecture patterns for backend systems. Synchronous approaches offer simplicity and predictability but can create bottlenecks and tight coupling. Asynchronous patterns using message queues and events provide better scalability and resilience but introduce complexity in debugging, testing, and error handling. The discussion covers common anti-patterns like distributed monoliths, naive background processing approaches, and improper message ordering. Emphasizes that good design matters more than technology choice, and recommends starting with synchronous architecture by default, then adopting async patterns where they provide clear benefits like handling external API failures or traffic spikes.