backend-patterns

Structure a scalable Node.js backend by separating concerns into repository, service, and middleware layers. This clean architecture ensures robust validation, isolated data access, and maintainable REST or GraphQL services.

Prevent N+1 query problems by applying repository layer patterns with optimized database indexing strategies. These backend patterns ensure efficient data access and reduce redundant queries across distributed or monolithic systems.

Cache-aside strategy with Redis works by having the backend check the cache before querying the database. If data is missing, the service layer fetches it, stores it in Redis, and returns it to optimize API response times.

You can use these backend patterns for both monolithic and distributed architectures. They specify standardized requirements for service layering, authentication, and observable logging that adapt across different deployment scales.

Handle authentication and error handling in the middleware and service layers of a backend. This layered approach standardizes authorization checks and centralizes observable logging across your API endpoints.

Design rate limiting and background jobs by applying standardized middleware patterns within your service architecture. These patterns manage API traffic flow and asynchronous tasks to build scalable e-commerce backends.