This article provides a detailed technical overview of typical payment system architecture, describing the division between transaction and payment cores, their interactions, service governance, data consistency, asynchronous processing, performance testing, and production practices for building robust backend payment platforms.
This article explains a three‑step architecture for describing, storing, and calculating fan‑based discounts, introduces a crowd‑based abstraction to accelerate high‑traffic queries, and details a hybrid offline‑plus‑real‑time data‑sync strategy that ensures consistency and millisecond‑level response times.
This article explains why Redis is used as a cache, outlines common consistency problems such as cache miss, penetration, and avalanche, compares cache‑aside, read‑through, write‑through and write‑behind patterns, and presents practical solutions like delayed double‑delete, retry mechanisms and binlog‑based asynchronous deletion to maintain eventual consistency between cache and database.
