Advanced Redis Caching in Spring Boot: TTL, Eviction, and Best Practices

In the previous blog, we learned the basics of Redis caching. Now let's move on to advanced caching concepts like cache eviction, TTL (Time-To-Live), and designing effective cache keys.

Handling Cache Eviction with @CacheEvict

@CacheEvict(cacheNames = "employees", key = "#id")

public void deleteEmployee(Long id) {

    employeeRepository.deleteById(id);

}

Flow of @CacheEvict

Setting TTL (Time-to-Live) for Cache Entries

spring:

  redis:

    time-to-live: 600000 # 10 minutes in milliseconds

Best Practices for Redis Cache

Set TTL for all caches to avoid stale data.

Use meaningful namespaces in cache keys.

Avoid storing very large datasets in Redis.

Conclusion

By now, you should understand how to control cache life cycles using @CacheEvict and TTL settings. In the final part of this series, we will focus on organizing caches with namespaces and key patterns.