microservices-architect

To define microservice boundaries, you apply domain-driven design to discover bounded contexts aligned with business capabilities. This decomposes monoliths into cohesive services, ensuring clear domain-driven segmentation and per-service data ownership across the distributed architecture.

Choosing communication protocols involves evaluating synchronous and asynchronous patterns for service interactions. You select between REST, gRPC, and event-driven architectures to implement robust communication design and establish resilient API contracts across your distributed system.

Saga-based transactions manage distributed data by enforcing database-per-service strategies where each service owns its data. This fault-tolerant design coordinates multi-service transaction flows and maintains data consistency without relying on a shared monolithic database.

CQRS and event-driven architectures are fully supported for designing scalable distributed systems. You can implement resilience patterns across service meshes to satisfy observability setup requirements and handle complex deployment strategies at scale.

Observability setup is needed when deploying distributed systems to monitor service interactions and maintain resilience across service meshes. It satisfies architectural requirements for tracking performance and diagnosing faults across independent, scalable microservices.

Yes, this approach supports transitioning existing monoliths by generating a complete microservices architecture outline. It provides bounded contexts, service contracts, and actionable deployment guidance to plan the migration and establish per-service data ownership.