Microservices: When They Make Sense and When They Don't
Microservices aren't always the answer. Here's an honest look at when distributed architectures add value and when a well-structured monolith is the smarter choice.
Microservices have been the default architectural recommendation for years, but in 2026, the industry is experiencing a healthy correction. Amazon, Uber, and other major companies have publicly documented their journeys back from microservices to more pragmatic architectures. The lesson: microservices solve specific problems, and if you don't have those problems, they create new ones.
When Microservices Add Value
Microservices make sense when you have teams that need to deploy independently, services with dramatically different scaling requirements, or components that benefit from different technology stacks. If your payments service needs 10x the compute of your user profile service, separating them lets you scale efficiently. If different teams own different features, independent deployment eliminates coordination bottlenecks.
The Hidden Costs
Microservices introduce distributed system complexity: network latency, eventual consistency, service discovery, distributed tracing, cascading failures, and deployment orchestration. Each microservice needs its own CI/CD pipeline, monitoring, and error handling. For a small team, the operational overhead of managing 15 microservices can consume more engineering time than the problems they solve.
The Modular Monolith Alternative
A modular monolith gives you most of the organizational benefits of microservices - clear boundaries, team ownership, independent development - without the distributed system overhead. You structure your code as separate modules with clear interfaces, but deploy and run it as a single application. If you later need to extract a module into a separate service, the clean boundaries make it straightforward.
Our Approach
At Nourvia, we start every project as a well-structured monolith. We define clear module boundaries and enforce separation through interfaces and dependency rules. We only extract into separate services when there's a concrete, measurable need - not because microservices are trendy. This approach gets our clients to production faster and keeps operational costs manageable.