Microservices versus Monoliths: trade‑offs in software architecture

Microservices have become a default term in software architecture, yet no precise technical definition exists. Practitioners cite benefits such as independent deployment and scaling, but many of the problems they aim to solve—slow builds, lengthy tests, coordination overhead—can be addressed within a monolithic codebase. The primary driver for adopting microservices is often organizational: allowing large numbers of engineers to own isolated services.

A monolithic application acts as an "anvil of alignment," providing hidden coordination and shared knowledge that keep teams cohesive. Breaking a monolith introduces knowledge silos, higher operational complexity, and the need for extensive platform support (service meshes, logging, tracing, dedicated teams). While companies like Netflix, Amazon and Spotify succeed with microservices, they do so because they can afford the added overhead. The decision to split should weigh genuine scaling needs against the hidden value a monolith provides.