Scenario 01
If your team is small and product-market fit is still moving…
Build a modular monolith. Microservices add operational work that slows feature delivery at this stage.
Comparison: Modular monolith vs. Microservices
Why a well-structured modular monolith is usually the right starting point, and the signals that justify extracting microservices.
Decision framework
Scenario 01
Build a modular monolith. Microservices add operational work that slows feature delivery at this stage.
Scenario 02
Extract the bounded contexts that change independently, one at a time.
Scenario 03
Extract only that workload into its own service.
Trade-offs
How the two options compare on the dimensions that usually decide this choice.
| Dimension | Modular monolith | Microservices | Verdict |
|---|---|---|---|
| Early development speed | High: one repository, simple local setup, easy refactoring | Lower: several pipelines, contract versioning and network mocks | Monoliths are faster to build early on |
| Operational overhead | Low: one pipeline and one database to monitor | High: orchestration, service discovery, distributed tracing and network calls | Monoliths need less platform work |
| Team autonomy at scale | Degrades as teams grow unless module boundaries are enforced | Teams deploy independently once contracts are stable | Microservices suit large engineering organizations |
Questions
A single deployable application where domain modules (billing, auth, inventory) have strict public interfaces and never read each other's tables directly.
Much easier than from an unstructured codebase. Because the boundaries are already enforced in code, extracting a module is mostly about its data and its network contract — it still needs a migration plan for the data that module owns.
Share your constraints — team, traffic, budget, compliance. We'll reply within one business day, and the call is about your decision, not our preferred stack.