microservices-architect

Domain-driven decomposition identifies bounded contexts to map and reduce cross-cutting dependencies, establishing clear service boundaries and data ownership rules for scalable architecture.

Avoiding a distributed monolith requires aligning service boundaries with bounded contexts, enforcing strict data ownership, and applying appropriate inter-service communication patterns like events or gRPC.

The Saga pattern manages distributed transactions and data consistency across services, while CQRS separates read and write operations, often pairing with event sourcing for complex domain models.

Choosing communication patterns depends on data ownership and coupling requirements, using REST for synchronous calls, gRPC for low-latency internal traffic, and events for asynchronous decoupling.

Event sourcing is optional for data ownership, but it provides an audit log and enables temporal queries, often combining with CQRS to reconstruct state in complex microservices architectures.

Proper observability and governance require establishing deployment guidelines, monitoring strategies, and enforcing architectural patterns like service meshes to track inter-service communication and resilience.