architecture-alternatives

Monolith vs microservices trade-offs depend on team size, system scale, and deployment complexity. Monoliths suit smaller teams and simpler domains; microservices enable independent scaling and deployment but add operational overhead. This Skill compares both approaches across your specific constraints to recommend the best fit.

Event-driven architecture decouples services through asynchronous message flows, enabling reactive systems and real-time processing. Key patterns include event sourcing, CQRS, and pub/sub models. This Skill identifies which event-driven pattern matches your scaling requirements and data consistency needs.

Serverless functions excel for stateless, event-triggered workloads with variable load and cost constraints. Drawbacks include cold starts, vendor lock-in, and complexity in stateful systems. This Skill evaluates whether serverless fits your functional requirements and organizational constraints.

Hexagonal and clean architecture isolate business logic through layered boundaries; DDD emphasizes modeling complex domains through ubiquitous language and bounded contexts. This Skill compares these structural approaches to help you select the framework matching your domain complexity and team structure.

Architecture decision frameworks capture rationale, alternatives, and trade-offs for future reference and governance. This Skill provides decision frameworks and best practices to articulate your choices across scaling, deployment, data consistency, and organizational constraints.

Incremental migration requires identifying service boundaries, managing data consistency during transition, and maintaining deployment stability. This Skill maps the consequences of scaling decisions and helps you plan a safe pathway aligned with your team capacity and technical debt.