The article explains three practical methods for achieving API idempotency—leveraging unique database primary keys (with distributed IDs), applying optimistic locking via version fields, and using a global anti‑repeat token stored in Redis—detailing their applicability, requirements, and operational flow.
This article explains the concept of API idempotency, when it should be applied, practical design patterns—including database checks, unique transaction IDs, and Snowflake ID generation—and the core principles for balancing reliability and cost in backend services.
This article explores five practical lock-based approaches—including database primary keys, pessimistic and optimistic locks, state machines, and distributed locks—to achieve reliable API idempotency in distributed systems, highlighting implementation details, trade‑offs, and code examples.
This article explains how to achieve API idempotency by having clients send a short‑lived unique serial number, storing it as a Redis key with SETNX and an expiration, and handling the Redis response to process or reject duplicate requests.
This article explains why API debounce is essential, identifies the types of endpoints that need it, and provides two distributed solutions—shared Redis cache and Redisson lock—along with complete Java code examples and deployment tips for preventing duplicate submissions in a Spring Boot backend.
This guide explains the principles of API idempotency using unique business IDs or token mechanisms, explores distributed rate‑limiting dimensions, compares token‑bucket and leaky‑bucket algorithms, and provides concrete implementations with Guava RateLimiter, Nginx configuration, and a Redis‑Lua script integrated into Spring Boot, including annotation‑based AOP for easy usage.
This article explains the concept of API idempotency, why duplicate requests can cause critical issues such as double payments, and presents a comprehensive set of client‑side and server‑side strategies—including token mechanisms, PRG pattern, unique indexes, optimistic locking, distributed locks, and more—to guarantee safe, repeatable operations.
