A long time ago, in a galaxy far, far away…, designing and implementing our application’s data persistence solution became relatively straightforward. Nowadays, we live in a world where modern cloud-native and distributed solutions adoption increases yearly critical for us to know how the impacts of such changes on our data integration layer – after all, it is often tagged as a performance bottleneck. Not only a backup, but a small mistake in this layer might also impact the whole architecture, and it is costly to change it later.

In this talk, we’ll cover, in a Java context, topics such as transactionality concerns, impacts of poorly designed persistence layers, patterns and best practices, polyglot architectures and the adoption of different paradigms such as NoSQL, the framework’s hidden traps you may fall into in exchange for development speed, the evolution of the JakartaEE platform in the face of new development needs, how to handle data throughout application modernization processes and much more. 

Take advantage of this architecture-driven journey that will enable you to design and deliver modern distributed Java solutions that rely on a robust, long-lasting, reliable persistence layer.