It might sound controversial, but most startups don’t need microservices. We hear the question all the time, and the answer rarely changes: microservices are expensive and, early on, often unnecessary. In the reality of a small team moving fast, the overhead outweighs the upside.
First, let’s make the terms clear. A monolith is one deployable application where everything lives together. A modular architecture is still one deployable app, but split into smaller modules inside the codebase. Microservices mean all parts of your app are separate services or APIs that communicate with each other. That last step—separating everything—sounds elegant in theory, but it introduces real costs the moment you leave a single deploy behind.
In a startup, there aren’t many people working on the project, and development usually happens in short agile sprints. In that setup, most of the supposed benefits of microservices disappear. Independent team autonomy isn’t relevant when there’s one team. Separate deployment pipelines and isolated scaling don’t help much when everyone is iterating together on a rapidly evolving product. What you do inherit, immediately, is the complexity tax of distribution.
That tax shows up everywhere: service boundaries that need constant negotiation, network calls where simple function calls used to be, observability that requires more than logs, versioning and compatibility across services, and failures that jump from code-level bugs to orchestration issues. Even local development becomes heavier when spinning up a feature means booting multiple services, faking infrastructure, and wrangling environments. None of this makes your product better in the earliest chapters; it just slows the team.
Starting with a monolith or a modular architecture is usually the better choice. One deploy means simpler CI/CD, fewer moving parts in production, and a codebase that’s easy to reason about. A modular structure gives you clean boundaries inside the monolith so refactoring is straightforward, testing is faster, and ownership can still be clear. It reduces development and deployment costs, is easier to rebuild if needed, and doesn’t feel overwhelming as the product grows.
Start simple — scale later
Microservices aren’t the destination; they’re a technique for when the pressure truly arrives. That pressure looks like clear team boundaries, a hotspot that needs independent scaling, or a component that requires a separate release cadence. If you’ve invested in a modular monolith, migrating is incremental: carve out a well-defined module, give it an interface, and move it behind a service boundary when the benefit outweighs the new operational burden.
This path preserves momentum. You keep shipping while the product is finding its shape, and you reserve the complexity budget for the moment it pays off. By the time microservices make sense, your modules already suggest sensible service seams, and you have real-world data about where independence and isolation will create leverage.
There’s nothing dogmatic about this. It’s simply acknowledging the shape of startup work. Early stages reward focus, fast iteration, and low cognitive load. A monolith—or a modular monolith—maximizes those advantages. When your product and team grow to a point where distribution is the bottleneck, evolving into services becomes a strategic move rather than a default choice.
Start simple — scale later. That’s not a compromise; it’s how you keep complexity proportional to value, shipping the right thing now and reserving headroom for tomorrow.