Understanding Microservices Architecture

Key Insights

• Microservices are an organizational scaling strategy, not a technical one — small teams are better served by a modular monolith
• Start with clear module boundaries in a single deployable unit; split into services only when team independence demands it
• The overhead of distributed systems (networking, observability, deployment) must be justified by real organizational needs

Microservices have become the default recommendation for new projects, but that doesn’t mean they’re always the right choice. Before splitting your application into dozens of services, consider whether you actually need the operational complexity.

When Microservices Work

Microservices shine when you have multiple teams that need to deploy independently. If your organization has clear domain boundaries and teams that own specific business capabilities, the overhead of service boundaries pays for itself.

When They Don’t

For small teams (under 10 engineers), a well-structured monolith is almost always the better choice. You get simpler debugging, easier refactoring, and straightforward deployments.

The Middle Ground

Consider starting with a modular monolith. Structure your code with clear module boundaries, but deploy it as a single unit. When you outgrow it, you’ll have natural seams to split along.

// A well-structured module boundary
package orders

type Service struct {
    repo    Repository
    events  EventPublisher
}

func (s *Service) PlaceOrder(ctx context.Context, req PlaceOrderRequest) (*Order, error) {
    // Business logic stays contained within the module
}

The key insight: microservices are an organizational scaling strategy, not a technical one.