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Spring Boot 3.0 Cookbook

You're reading from   Spring Boot 3.0 Cookbook Proven recipes for building modern and robust Java web applications with Spring Boot

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Product type Paperback
Published in Jul 2024
Publisher Packt
ISBN-13 9781835089491
Length 426 pages
Edition 1st Edition
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Author (1):
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Mr. Felip Miguel Puig Mr. Felip Miguel Puig
Author Profile Icon Mr. Felip Miguel Puig
Mr. Felip Miguel Puig
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Table of Contents (16) Chapters Close

Preface 1. Part 1:Web Applications and Microservices FREE CHAPTER
2. Chapter 1: Building RESTful APIs 3. Chapter 2: Securing Spring Boot Applications with OAuth2 4. Chapter 3: Observability, Monitoring, and Application Management 5. Chapter 4: Spring Cloud 6. Part 2: Database Technologies
7. Chapter 5: Data Persistence and Relational Database Integration with Spring Data 8. Chapter 6: Data Persistence and NoSQL Database Integration with Spring Data 9. Part 3: Application Optimization
10. Chapter 7: Finding Bottlenecks and Optimizing Your Application 11. Chapter 8: Spring Reactive and Spring Cloud Stream 12. Part 4: Upgrading to Spring Boot 3 from Previous Versions
13. Chapter 9: Upgrading from Spring Boot 2.x to Spring Boot 3.0 14. Index 15. Other Books You May Enjoy

Technical requirements

In this chapter, we won’t need any additional tools apart from the JDK and the IDE, as in the previous chapters.

Keep in mind that Spring Boot 3.0 requires Java 17 or a later version. To migrate an existing project to Spring Boot 3.0 and use Java 11, you must upgrade to Java 17.

Before migrating to Spring Boot 3.0, I recommend that you upgrade to the latest Spring Boot 2 version, 2.7.x.

In this chapter, we’ll use a Spring Boot 2 sample and make changes to it until it’s finally migrated to the latest version of Spring Boot 3. This application accesses a PostgreSQL database and a Cassandra database. We’ll run both servers using Docker. The official page for running Docker on your computer is https://docs.docker.com/engine/install/. The application has some Testcontainers-based tests, so that you will need Docker on your computer.

To run PostgreSQL on Docker, you can run the following command in your terminal:

docker run...
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