ddd-decomposition

Identify bounded contexts by systematically analyzing domain capabilities to produce explicit context maps and service boundaries for multi-tenant Go microservices. This decomposition aligns services with business capabilities and defines clear domain ownership.

You need an anti-corruption layer to minimize cross-context coupling when integrating complex domains, while a shared kernel suits scenarios requiring tighter integration. This skill provides a decision framework to choose between them for clean microservice boundaries.

The best way to map aggregate roots is applying structured domain-driven design decomposition to select roots that enforce transactional consistency within bounded contexts. This yields explicit aggregate definitions compatible with your multi-tenant architecture.

Yes, DDD decomposition applies directly to AWS EKS and NATS JetStream deployments. It produces deployment-ready service boundary frameworks and context maps tailored for multi-tenant environments using PostgreSQL and NATS JetStream messaging.

Create a context map by documenting bounded contexts and their interaction styles to establish domain ownership across multi-tenant Go services. This process outputs explicit maps showing how different service boundaries communicate and integrate.

Domain complexity causes brittle deployments when unclear boundaries and hidden coupling exist between multi-tenant microservices. Applying bounded context discovery and aggregate root selection resolves this by aligning service boundaries with true business capabilities.