How to Build a Scalable Follow Service with MySQL, Redis, and Spring Cloud

This article walks through the complete design and implementation of a friend‑follow microservice, covering requirement analysis, MySQL table schema, Redis set operations, Spring Boot dependencies, configuration, service and controller code, gateway routing, and end‑to‑end testing with concrete examples and performance insights.

Java Architect Essentials
Java Architect Essentials
Java Architect Essentials
How to Build a Scalable Follow Service with MySQL, Redis, and Spring Cloud

Requirement Analysis

Social applications need follow/unfollow, viewing a user's followers and followees, mutual follows, and recommendation features such as “people you may know”. Retrieving a single user's followers from a relational database is straightforward, but computing mutual followers for two or more users requires costly joins. Redis Set provides built‑in SINTER, SUNION and SDIFF operations, enabling fast set‑based queries.

Requirement diagram
Requirement diagram

Using Redis sets for each user – one set for the IDs the user follows and another for the IDs of its followers – makes follow, unfollow and mutual‑follow queries O(1) on average.

Redis set illustration
Redis set illustration
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JavaMicroservicesBackend DevelopmentredisSpring BootmysqlFollow Service
Java Architect Essentials
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