architecture-patterns

Architecture patterns provide proven structures for different requirements. Use a decision framework based on your constraints: layered architecture for traditional monoliths, hexagonal for testability and independence, microservices for independent deployment and scaling. Evaluate simplicity first to avoid over-engineering.

SOLID principles—Single Responsibility, Open/Closed, Liskov Substitution, Interface Segregation, Dependency Inversion—are fundamental guidelines for maintainable, flexible code. They underpin sound architectural decisions across Go, Java, TypeScript, and reduce technical debt when applied consistently.

Go's interface-first approach emphasizes defining contracts before implementation. Use interfaces with functional options patterns for configuration, enabling high testability and loose coupling. This pattern aligns well with microservice boundaries and independent deployment requirements.

Yes. Layered architecture organizes code into horizontal tiers (presentation, business logic, data access) for incremental refactoring. Hexagonal architecture isolates core logic behind ports and adapters, improving testability. Both support gradual migration from monoliths without complete rewrites.

Composition patterns and custom hooks provide reusable, testable component logic in React. Combine with dependency injection and factory patterns for flexible, maintainable component hierarchies. These patterns reduce prop drilling and separate concerns between presentation and business logic.

Choose microservices for independent scaling, team autonomy, and technology diversity across services. Use layered architecture for simpler domains, smaller teams, or when deployment complexity outweighs benefits. Microservices introduce operational overhead; evaluate organizational readiness and actual requirements first.