Microservices aren't always the answer. Read how consolidating a distributed monolith back into a modular architecture reduced latency by 300% and restored developer velocity.
Microservices have become the default architecture for modern enterprise applications, often adopted before the domain boundaries are fully understood. This leads to a common anti-pattern known as the "Distributed Monolith." In this state, a system has all the complexity of a distributed system (network latency, eventual consistency, complex deployments) with none of the benefits of decoupling.
At Seya Solutions, we recently assisted a mid-sized fintech platform that had fragmented its domain into 40+ microservices too early. The result was a fragile ecosystem where a change in one service required simultaneous updates in three others, effectively freezing their release cadence.
The client's "User Profile" service was chatting incessantly with the "Auth," "Billing," and "Notification" services. A single user login triggered 14 synchronous HTTP calls. The Symptoms:
We did not propose a return to a "Big Ball of Mud" legacy monolith. Instead, we advocated for a Modular Monolith strategy.
Within three months of consolidation, the operational metrics shifted drastically:
Network calls are not free. Architecture is about boundaries, not deployment artifacts. If two components change together and scale together, they belong together. Do not introduce the complexity of a network boundary until the scale of the team or the scale of the traffic explicitly demands it.
The goal of architecture is high cohesion and low coupling. You can achieve this inside a monolith just as well as you can with microservices. Start with a Modular Monolith. Carve out a microservice only when a specific module requires independent scaling (e.g., a video processing engine) or has a distinct security lifecycle. Until then, keep it simple.