In our last video, we mastered the First Level Cache, but realized it has one major flaw: it only survives for a single HTTP request! What happens when 10,000 users hit your API at the exact same time? Your database crashes.
In this advanced Spring Boot tutorial, we implement the JPA Second Level Cache (L2 Cache). We explore the architecture behind Hibernate, JCache, and Ehcache, and learn how to share cached data globally across every single user session. We will break down how to configure Regions, and we do a massive deep dive into the 4 CacheConcurrencyStrategies (READ_ONLY, READ_WRITE, NONSTRICT_READ_WRITE, TRANSACTIONAL) so you know exactly which one to use for your specific microservice.
What you will learn in this video:
The architectural difference between L1 and L2 Cache
Why Hibernate uses the JCache API (Loose Coupling)
The 3 mandatory dependencies required for L2 Cache
How to configure ehcache.xml and Cache Regions
The exact behavior of the 4 Cache Concurrency Strategies
Real-world banking examples of when to use which strategy
High-value Java interview questions and answers
If you are serious about backend engineering and system design, please hit the LIKE button and SUBSCRIBE for more masterclasses!
#SpringBoot #Java #Hibernate #L2Cache #SystemDesign #BackendDevelopment #CodingTutorial #JavaInterview
