Scaling Spring Boot with Hibernate 2nd Level Cache on Redis

<p>More often that not, the RDBMS database will be the primary scalability bottleneck in your growing application. This is due to RDBMS&rsquo;s natural resistance to horizontal scaling. Several strategies have evolved to mitigate this very problem, including read-replicas, partitioning, sharding, and offloading some of the workload to a NoSQL database.</p> <p>In this hands-on article, we&rsquo;ll look at one more technique available to you as a Spring/Hibernate developer, that could greatly lessen the burdens of your overworked RDBMS: namely, the use of a Hibernate 2nd Level cache.</p> <p><a href="https://medium.com/@shahto/scaling-spring-boot-with-hibernate-2nd-level-cache-on-redis-54d588fc8b06"><strong>Read More</strong></a></p>