Introduction To ensure that your Spring Boot application fulfills the SLA (Service Level Agreement) requirements, you need a performance monitoring tool. In this article, I’m going to show you how you can monitor the data access layer of a Spring Boot application using Hypersistence Optimizer.
Introduction The 2.0 version of the Hypersistence Optimizer has just arrived, and it comes with a runtime scanner that is capable of analyzing your JPA and Hibernate data access operations and queries and give you tips about how you can speed up your application. Along with the JPA and Hibernate mapping and configuration scanners, the runtime scanner makes Hypersistence Optimizer an indispensable tool for building High-Performance Java Persistence applications.
Introduction While developing a Spring Boot application is rather easy, tuning the performance of a Spring Boot application is a more challenging task, as, not only it requires you to understand how the Spring framework works behind the scenes, but you have to know what is the best way to use the underlying data access framework, like Hibernate for instance. In a previous article, I showed you how easily to optimize the performance of the Petclinic demo application. However, by default, the Petclinic Spring Boot application uses the in-memory HSQLDB database, which… Read More
Introduction In this article, we are going to see how we can tune the performance of the Spring Petclinic application using Hypersistence Optimizer. Now, while you can manually analyze your data access layer to make sure that JPA and Hibernate are properly configured, it’s much better if you can automate this task. That’s because new entities might be mapped in the future, and you want to make sure that the same performance-specific rules are consistently applied on every commit. Hypersistence Optimizer allows you to automatically detect JPA and Hibernate issues during development,… Read More
Introduction At the end of 2018, I got this idea of writing a tool which can automatically detect JPA and Hibernate issues by scanning your data access layer and provide you optimization tips. At the beginning of February, Thodoris Chaikalis surprised me with this Facebook comment which reinforced the idea that having such a tool would be really awesome for Java developers working with JPA and Hibernate. At the end of February, I got some time off, and I started working on it, and the reaction on social media exceeded my expectations:… Read More