Redis as a Cache Provider
Configure Redis-backed caching.
Redis as a Cache Provider is a free Spring Boot 4 Microservices & REST APIs lesson on CoddyKit — lesson 3 of 4. You can read the complete lesson below for free — then practise it hands-on in the browser with a built-in code editor and a 24/7 AI tutor. It is part of the Spring Boot 4 Microservices & REST APIs learning path, one of 4 lessons in the course, and your progress syncs across the web and the CoddyKit app.
Why Redis for Caching
Redis is an in-memory data store that works as a distributed cache shared across many app instances.
- Survives app restarts
- Shared by all nodes
- Supports TTL and eviction
Adding the Dependency
Add Spring Data Redis to switch the cache backend to Redis.
// build.gradle
implementation "org.springframework.boot:spring-boot-starter-data-redis"Connection Settings
Point Spring at your Redis server in properties.
# application.properties
spring.data.redis.host=localhost
spring.data.redis.port=6379
spring.cache.type=redisAuto-Configured RedisCacheManager
With Redis on the classpath and spring.cache.type=redis, Spring Boot auto-configures a RedisCacheManager. Your existing @Cacheable methods now use Redis with no code change.
Customizing the CacheManager
Define a RedisCacheManager bean for fine control over defaults.
@Bean
public RedisCacheManager cacheManager(
RedisConnectionFactory factory) {
RedisCacheConfiguration config =
RedisCacheConfiguration.defaultCacheConfig()
.entryTtl(Duration.ofMinutes(10));
return RedisCacheManager.builder(factory)
.cacheDefaults(config)
.build();
}Serialization
Cached values are serialized before storage. JDK serialization is the default; JSON is more portable and readable.
RedisCacheConfiguration config =
RedisCacheConfiguration.defaultCacheConfig()
.serializeValuesWith(
SerializationPair.fromSerializer(
new GenericJackson2JsonRedisSerializer()));Serializable Entities
For JDK serialization, cached objects must implement Serializable. JSON serialization avoids this requirement.
public class Product implements Serializable {
private Long id;
private String name;
}Key Prefixes
Redis cache keys are prefixed with the cache name by default (e.g. products::1), keeping caches namespaced in the shared store.
Per-Cache Configuration
Give individual caches their own TTL via a map of configurations.
Map<String, RedisCacheConfiguration> configs =
Map.of("products",
RedisCacheConfiguration.defaultCacheConfig()
.entryTtl(Duration.ofMinutes(5)));
return RedisCacheManager.builder(factory)
.withInitialCacheConfigurations(configs)
.build();RedisTemplate for Direct Access
Beyond the cache abstraction, RedisTemplate lets you read and write Redis directly.
@Autowired
RedisTemplate<String, String> redisTemplate;
redisTemplate.opsForValue()
.set("greeting", "hello",
Duration.ofSeconds(30));Resilience to Redis Outages
If Redis is unreachable, cache operations fail. Consider a fallback strategy or error handler so a cache outage does not take down the app.
Quick Check
Test your understanding of Redis caching.
Recap
You learned to use Redis as a cache:
- Add the data-redis starter, set
spring.cache.type=redis - Auto-configured
RedisCacheManager - Customize TTL and JSON serialization via a bean
- Keys are namespaced by cache name
Frequently asked questions
Is the “Redis as a Cache Provider” lesson free?
Yes — the full text of “Redis as a Cache Provider” is free to read here on the web, and the Spring Boot 4 Microservices & REST APIs course includes 4 lessons in total. To practise it interactively (a built-in code editor and a 24/7 AI tutor) and unlock the rest of the Spring Boot 4 Microservices & REST APIs course, upgrade to CoddyKit PRO.
What will I learn in “Redis as a Cache Provider”?
Configure Redis-backed caching. You practise Spring Boot 4 Microservices & REST APIs with hands-on code you run directly in the browser, and a 24/7 AI tutor answers your questions as you work through the lesson.
Do I need any experience to start Spring Boot 4 Microservices & REST APIs?
No prior experience is required. Spring Boot 4 Microservices & REST APIs on CoddyKit is structured for beginners through advanced learners; this is — lesson 3 of 4, so you can start here or from the beginning and move at your own pace.
How long does the “Redis as a Cache Provider” lesson take?
Most CoddyKit lessons take about 5–10 minutes. Each one is bite-sized and interactive, so you make steady progress and pick up exactly where you left off across the web and the app.
Can I write and run code in this Spring Boot 4 Microservices & REST APIs lesson?
Yes. Every Spring Boot 4 Microservices & REST APIs lesson includes a built-in code editor, so you write and run real code right in your browser and get instant AI feedback — no local setup required.
All lessons in this course
- The Spring Cache Abstraction
- @Cacheable, @CachePut, @CacheEvict
- Redis as a Cache Provider
- Cache TTL and Invalidation