
Idempotency Keys in Practice: Making Retries Safe
How to design and implement idempotency keys so retried requests never double-charge, double-send, or double-create resources.
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17 articles

How to design and implement idempotency keys so retried requests never double-charge, double-send, or double-create resources.

Stop letting your API spec drift from your implementation — define the contract first, generate types for both sides, and let the compiler catch the gaps.

A practical guide to achieving end-to-end type safety in GraphQL applications using schema-first code generation, covering resolver typing, client-side query types, and eliminating runtime type mismatches between frontend and backend.

A deep dive into rate limiting algorithms including token bucket, sliding window, and leaky bucket with distributed implementations using Redis and practical middleware patterns.

A complete tutorial on building end-to-end type-safe APIs using tRPC with Next.js App Router, covering router setup, middleware chains, input validation, and real-time subscriptions.

Build idempotent API endpoints that handle retries safely using idempotency keys, database constraints, and state machines with TypeScript examples covering payment processing, order creation, and webhook delivery.

Compare offset, cursor, and keyset pagination strategies with practical implementations showing performance characteristics, trade-offs, and when each approach fits your API design.

A step-by-step tutorial for building a GraphQL server with TypeScript — covering schema design, resolvers, dataloaders for N+1 prevention, authentication, error handling, and deployment patterns.

A step-by-step tutorial for building rate limiters using the token bucket, sliding window, and fixed window algorithms — with TypeScript implementations, Redis integration, and production deployment patterns.

A step-by-step tutorial for building a URL shortener service with short code generation, redirect handling, click analytics, and rate limiting — covering the full system design from database schema to API.

A practical comparison of gRPC and REST for backend services — covering performance characteristics, developer experience, streaming capabilities, and the tradeoffs that determine which protocol fits your use case.

A hands-on guide to implementing GraphQL subscriptions for real-time updates — covering WebSocket transport, subscription resolvers, filtering, and scaling considerations.

A deep dive into rate limiting algorithms with implementations, trade-offs, and guidance on choosing the right approach for your API.

Network failures mean requests are retried — idempotent API design ensures that processing the same request twice produces the same result, preventing duplicate charges and orders.

Every API evolves — the question is whether you version through URL paths, headers, or query parameters, and how you handle breaking changes without breaking clients.

GraphQL isn't a REST replacement — it's an alternative with different trade-offs that matter depending on your client complexity, team size, and data shape.

Once you know the HTTP verbs, the real challenge begins — pagination, filtering, error formats, and versioning patterns that make APIs a pleasure to consume.