How do you implement distributed caching in Spring Boot?
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5. Conclusion
Implementing distributed caching in Spring Boot with solutions like Redis or Hazelcast improves performance and scalability by sharing cached data across multiple instances of your application. Redis is often the most preferred option due to its speed, scalability, and ease of integration with Spring Boot.
By configuring and using distributed caching, you can ensure that your application remains fast, responsive, and efficient, even as it scales and handles a growing number of requests. Whether you choose Redis, Hazelcast, or another provider, Spring Boot’s caching support allows you to seamlessly implement distributed caching with minimal setup.