backend-patterns

Standard backend patterns for scalable API design cover REST and GraphQL conventions, authentication middleware, caching strategies, and structured error handling to ensure reliable services. These patterns provide reusable templates for architecture reviews and direct code implementation.

Implement authentication and authorization patterns by applying standardized middleware for token management, validating credentials at API entry points, and enforcing access controls across microservices and serverless contexts. Concrete templates guide direct integration into existing data flows.

Handle caching and validation in a microservice by applying production-grade best practices that standardize data-layer integration, cache invalidation, and input verification. This ensures maintainable data flows and reduces redundant processing across service boundaries.

Yes, these backend patterns apply across REST, gRPC, microservices, and serverless contexts. The guidelines provide concrete examples for API surfaces and data-store integration that engineers can implement directly regardless of the specific protocol architecture.

Structure error handling for production-grade backend APIs by applying standardized patterns that ensure consistent error responses across API surfaces. These templates cover data-store integration and validation failures, enabling reliable architecture reviews and direct code implementation.