Spring Boot Tutorial 0/110 lessons ~6 min read Lesson 56“Production-grade backends”

Caching with Redis

Redis is the universal cache: sub-millisecond reads, tiny footprint, perfect for hot reads, session storage, rate limiting and pub/sub.

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Focus

3 guided sections

Practice signal

Examples included

Career prep

Foundation builder

Introduction

Redis is the universal cache: sub-millisecond reads, tiny footprint, perfect for hot reads, session storage, rate limiting and pub/sub. Spring Boot's spring-boot-starter-data-redis integrates it in two annotations.

Informative example

# application.yml
spring:
  data:
    redis:
      host: ${REDIS_HOST:localhost}
      port: 6379
  cache:
    type: redis

@Configuration @EnableCaching
public class CacheConfig {}

@Service
public class ProductService {
  @Cacheable(value = "product", key = "#id")
  public ProductDto find(Long id) { ... }       // first call hits DB; rest hit Redis

  @CacheEvict(value = "product", key = "#id")
  public void update(Long id, UpdateProduct cmd) { ... }
}

Best practices

Always set TTLs — un-bounded caches become memory leaks.
Cache reads, not writes. Invalidate with @CacheEvict.
Serialise as JSON, not Java; Java serialization breaks across versions.

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