api-and-system-design

Production-grade REST API design uses noun-based endpoints, correct HTTP methods, status codes, and pagination. Enforcing typed request and response models with explicit security and validation prevents brittle designs and ensures OpenAPI coverage.

Distributed systems failure handling requires idempotency, retries with backoff, circuit breakers, timeouts, tracing, and dead-letter handling. Implementing resilient failure handling across service boundaries prevents scale-related failures before implementation begins.

Database schema design requires explicit indexes, foreign keys, and reversible migrations. Promoting explicit storage patterns alongside versioned event schemas and idempotent consumers ensures production-grade stability and avoids data loss during schema evolution.

Yes, versioned APIs and typed request and response models are required for microservice design. Enforcing explicit security, validation, and correct HTTP semantics prevents brittle service boundaries and ensures production-grade architecture.

Event-driven architecture handles idempotent consumers by enforcing versioned event schemas. This discipline ensures resilient failure handling, prevents duplicate processing, and maintains data consistency across distributed service boundaries.

Yes, this approach applies to reviewing OpenAPI specifications, Terraform, Python code, and SQL schemas. It enforces production-grade conventions for HTTP semantics, security, validation, and resilient failure handling across these formats.