Master Hibernate and JPA with Spring Boot in 100 Steps - Step 84 - Performance Tuning - Use Appropriate Caching

The video tutorial covers different caching strategies, including first level, second level, and distributed caching. It explains the importance of managing first level cache size to maintain efficiency and highlights the benefits of second level caching for shared data across transactions. The tutorial also introduces distributed caching for applications running in parallel, suggesting frameworks like Ehcache and Hazelcast for implementation.

How does distributed caching help in handling a large load across multiple application instances?

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What considerations should be made when implementing a distributed cache?

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