backend-architect

Designing scalable microservices architecture involves defining clear service boundaries, establishing inter-service communication protocols, and implementing distributed patterns like Sagas and CQRS for resilient order processing and inventory management.

Defining service boundaries in distributed systems requires analyzing domain capabilities to isolate functionalities, ensuring maintainable APIs, and minimizing tight coupling to achieve scalable and resilient inter-service communication.

Choosing between REST, GraphQL, and gRPC for API design depends on your client requirements, with the architecture defining clear contracts and versioning strategies to ensure robust and maintainable backend APIs.

Implementing resilience patterns in backend systems involves integrating circuit breakers, retries, logging, and distributed tracing to handle failures gracefully and maintain observability across microservices architectures.

You need event-driven architecture when building scalable, resilient backend systems that require asynchronous inter-service communication, utilizing distributed patterns like CQRS to handle complex workflows and non-functional requirements.

Yes, this approach addresses system-wide non-functional requirements by designing scalable, resilient backend architectures that integrate observability, distributed patterns, and robust API contracts for high traffic applications.