backend-architect

To design a RESTful API for an e-commerce order management system, you need to define resource endpoints, implement robust versioning and pagination, and establish security protocols to ensure scalable and maintainable backend communication.

The best way to decompose a monolithic application into microservices is by defining clear service boundaries, establishing efficient inter-service communication patterns, and implementing API gateways to route external requests to the appropriate internal services.

You need an event-driven architecture when building scalable systems that require asynchronous inter-service communication, utilizing message queues and event streaming to decouple services and handle high-throughput data processing efficiently.

Circuit breakers and retries improve backend system resilience by preventing cascading failures across microservices, automatically halting requests to unavailable services and reattempting transient faults to maintain overall application stability.

Observability in distributed microservices works by implementing structured logging and distributed tracing across service boundaries, allowing developers to monitor system health, track inter-service communication, and diagnose latency issues efficiently.

Choosing between GraphQL and gRPC for inter-service communication depends on your API design needs: GraphQL offers flexible client-driven queries, while gRPC provides high-performance binary serialization for efficient internal service-to-service calls.