idempotency-handling

What problem does it solve?

Ensures operations produce identical results across retries, preventing duplicates and race conditions in distributed systems.

Core Features & Use Cases

• Idempotency key pattern with Redis caching and DB constraints
• Safe retries for critical mutations (payments, webhook handling, etc.)
• Deterministic responses for repeated requests
• Clear TTL guidance and cleanup strategies

Quick Start

Implement middleware that reads an idempotency-key from request headers, checks a cache/store for a prior response, and returns the cached response if found, or stores the new response for future retries.