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Improving Backend Performance with Caching in Spring Boot
- Caching is a way to enhance backend performance by reducing the time required to retrieve frequently accessed data from the database or external services.
- Spring Boot leverages the @EnableCaching annotation and provides a cache management abstraction to simplify adding caching capabilities to an application.
- Common caching use cases include storing rarely changed data, processing complex computations, and storing user sessions and authentication tokens.
- Spring Boot offers several cache providers, such as ConcurrentHashMap, Ehcache, Redis, Hazelcast, and Memcached.
- To apply caching annotations such as @Cacheable, @CachePut, and @CacheEvict, caching needs to be enabled, and a cache provider needs to be configured.
- Time-to-Live (TTL) caching is useful for frequently updated data, while the Cache-aside pattern checks the cache before retrieving data from the database.
- Write-through and write-behind caching is helpful when data consistency between the cache and the database is crucial.
- Performance monitoring tools include Redis CLI, Spring Boot Actuator, Prometheus, and Grafana.
- Common caching pitfalls to avoid include caching too much data, caching rarely accessed data, and stale data issues.
- In conclusion, caching is a powerful tool that can significantly reduce response times, lower server loads, and improve the overall user experience in high-performing applications.
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