Most Startups Adopt Microservices Too Early

Most seed-stage technical founders choose microservices for the wrong reason.

Not because their system needs them. Because Netflix, Amazon, and Uber use them — and they are building the next one of those.

At Booking.com, we ran one of the largest microservices deployments in the world. It worked because we had hundreds of engineers, mature DevOps tooling, and years of operational experience managing distributed systems at scale. The architecture matched the organisation.

At seed stage, with two or three engineers, it does not.

Why the Common Approach Fails

Microservices introduce a specific kind of complexity: distributed systems complexity. Services need to discover each other, communicate over the network, handle partial failures, and be independently deployed. That is not just more code to write — it is a different class of operational problem.

A call that would be a function call in a monolith becomes a network call. Network calls fail. They time out. They retry. They create race conditions. Every one of these failure modes needs to be designed for, tested for, and monitored for.

At seed, your engineers are spending time on distributed systems engineering instead of product engineering. The product suffers.

TechTek's Position

The Architecture Maturity Ladder runs: Monolith → Modular Monolith → Selective Services → Microservices.

Most seed-stage products should be at step one or two. A well-structured monolith or modular monolith is not technical debt — it is the correct architecture for the current stage and team size.

The Three-Person Team Test is useful here: would this architecture still make sense if only three engineers had to maintain it? Microservices at seed fail this test almost every time.

The Nuance

There are genuine reasons to extract a service early. If one component has completely different scaling characteristics — a real-time data processing service alongside a transactional API — extracting it can make sense. If one component needs independent deployability for regulatory or security reasons, that is a legitimate driver.

But "we might need to scale this independently someday" is not a sufficient reason. Someday is not now.

What to Do Instead

Start with a modular monolith. Organise code into clear domain modules — users, orders, payments, notifications — with explicit interfaces between them. Modules cannot import each other directly; they communicate through defined interfaces.

When the business grows and you identify a genuine reason to extract a service — a team that owns a specific domain, a scaling bottleneck that cannot be addressed within the monolith, a regulatory requirement — you have a clean foundation to extract from.

A monolith built with clear domain boundaries is much easier to decompose than one that grew organically. The modular monolith is not a compromise. It is a deliberate architectural choice that keeps your options open.

The Cost of Getting This Wrong

Teams that go microservices-first at seed often spend 30–40% of early engineering time on infrastructure problems — service discovery, inter-service communication, distributed tracing — instead of product problems. That is 30–40% of runway spent on the wrong thing.

Architecture should evolve with the business, not anticipate a version of the business that does not exist yet.