API design, data modeling, auth, error handling, caching, resilience

Backend engineering guidance covering API design and contracts, data modeling and databases, authentication and authorization implementation, error handling and logging, caching, background jobs and queues, resilience and rate limiting, backend performance, and backend testing.

Resource files

api-design.md

Designing endpoints, naming, pagination, response shape

data-modeling-and-db.md

Schema design, indexing, migrations, SQL vs NoSQL

auth-and-authorization.md

Authentication mechanism, session/token trade-offs, password storage

error-handling-and-logging.md

Error taxonomy, structured logging, correlation IDs

caching-strategies.md

What/how to cache, invalidation, HTTP caching

background-jobs-and-queues.md

Moving work off the request path, retries, delivery guarantees

resilience-and-rate-limiting.md

Timeouts, retries, circuit breakers, rate limits

backend-performance.md

Profiling, DB bottlenecks, scaling direction

backend-testing.md

Unit vs integration tests, test data for the backend