Idempotency Keys Explained: Safe Retries Made Simple
Learn how idempotency keys make APIs safe to retry, with patterns for storage, expiry, conflict handling, and common pitfalls.
7 posts · page 1 of 1
Learn how idempotency keys make APIs safe to retry, with patterns for storage, expiry, conflict handling, and common pitfalls.
Compare the errors array, union result types, and partial responses to design predictable, typed error handling for your GraphQL APIs and clients.
Understand cursor-based pagination using the Relay connection spec, why it scales better than offsets, and how to implement it cleanly in your schema.
Apply REST design best practices for resources, naming, status codes, pagination, and versioning to build clean, durable APIs.
How to design REST endpoints that accept many items at once: request shape, partial success, error reporting, idempotency, and limits that keep your API healthy under load.
A practical guide to idempotency keys: what they are, how to store them, how to handle replays and conflicts, and how to make POST endpoints safe to retry without duplicates.
Learn the builder pattern in Rust, why it fits the language so well, and how to use it for ergonomic, type-safe configuration of complex structs.