Spring Data Redis: Repository vs RedisTemplate — A Real-World Performance Comparison

·2026.07.01 16:13

Key point

Yeogiotae's Exhibition Development Team shares a case study of analyzing a CPU 100% outage caused by using Redis Repository and resolving it by switching to RedisTemplate.

Details

The Yeogiotae Exhibition Development Team experienced an outage during peak times where Redis CPU usage reached 100%, causing service response times to increase 3-5x and resulting in timeouts.

The root cause analysis revealed that Spring Data Redis's CrudRepository (@RedisHash), which had been introduced to improve performance, was the culprit. As data scale and concurrent users increased, the Repository approach internally executed multiple Redis commands for a single save operation, causing the load to accumulate.

This article covers the real-world experience of using RedisTemplate to optimize commands and reduce CPU load in order to solve this performance degradation problem.

performance-optimization redis spring-boot backend spring-data-redis

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