microservices-architect

To decompose a monolith into microservices, identify bounded contexts to map domain relationships, then generate a decomposition plan defining per-service data ownership and deployment strategies.

Manage distributed transactions across microservices using saga orchestration. This pattern coordinates multi-step transactions across services, ensuring data consistency without requiring a monolithic shared database.

You need event sourcing and CQRS in a microservices architecture when building systems requiring robust audit trails and complex domain models. These patterns separate write and read operations to optimize data flow.

Yes, this approach supports service mesh and distributed tracing for cloud-native deployments. It defines observability requirements to integrate these technologies, enabling traffic management and request tracking across services.

Yes, you can use domain-driven design to map bounded contexts across a complex product ecosystem. It identifies core domains and their relationships, establishing clear boundaries for per-service data ownership.

A limitation of per-service data ownership is increased architectural complexity. Decomposing systems requires robust observability, distributed tracing, and saga orchestration to manage eventual consistency across isolated databases.