This article outlines four core microservice patterns—aggregation, shared data, proxy, and asynchronous messaging—detailing their architectures, advantages, disadvantages, and typical use cases, illustrated with diagrams, to help developers design scalable backend systems effectively.
This article explains why MQ is needed beyond in‑process event listeners, details the required dependencies for Spring Boot 3, shows how to configure RocketMQ, provides code snippets for producer, consumer, and testing, and offers practical tips for handling async, batch, and one‑way messaging.
This article explains asynchronous messaging patterns, compares RabbitMQ and Apache Kafka in depth, and provides a step‑by‑step decision guide that highlights their architectural differences, strengths, weaknesses, and suitable use‑cases for modern software systems.
JD Logistics architect Chen Haolong detailed the design, scalability strategies, and operational practices behind the billion‑level asynchronous messaging system that powered JD.com’s massive 11.11 shopping festival, revealing how the platform handled unprecedented traffic and ensured reliability.
