Book Image

Learning Spring Boot 3.0 - Third Edition

By : Greg L. Turnquist
Book Image

Learning Spring Boot 3.0 - Third Edition

By: Greg L. Turnquist

Overview of this book

Spring Boot 3 brings more than just the powerful ability to build secure web apps on top of a rock-solid database. It delivers new options for testing, deployment, Docker support, and native images for GraalVM, along with ways to squeeze out more efficient usage of existing resources. This third edition of the bestseller starts off by helping you build a simple app, and then shows you how to secure, test, bundle, and deploy it to production. Next, you’ll familiarize yourself with the ability to go “native” and release using GraalVM. As you advance, you’ll explore reactive programming and get a taste of scalable web controllers and data operations. The book goes into detail about GraalVM native images and deployment, teaching you how to secure your application using both routes and method-based rules and enabling you to apply the lessons you’ve learned to any problem. If you want to gain a thorough understanding of building robust applications using the core functionality of Spring Boot, then this is the book for you. By the end of this Spring Boot book, you’ll be able to build an entire suite of web applications using Spring Boot and deploy them to any platform you need.
Table of Contents (17 chapters)
1
Part 1: The Basics of Spring Boot
3
Part 2: Creating an Application with Spring Boot
8
Part 3: Releasing an Application with Spring Boot
12
Part 4: Scaling an Application with Spring Boot

Adding Spring Data to an existing Spring Boot application

Imagine we have an application brewing. We showed our program manager some preliminary web pages based on the pitch she is hastily putting together. While excited at that, she signals we need to hook them up to some real data.

But instead of swallowing with dread, we smile from ear to ear. Spring Data is the ticket to powerful data management.

Before we can move forward, though, we must make a choice. What data store exactly do we need?

The most common database used today is a relational one (Oracle, MySQL, PostgreSQL, and so on). As mentioned in a past SpringOne keynote, relational databases comprise 80% of all projects created on Spring Initializr. Choosing a NoSQL (not only SQL) data store requires careful consideration, but here are three options we can explore:

  • Redis is principally built as a key/value data store. It’s very fast and very effective at storing huge amounts of key/value data. On top...