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Mastering Spring Boot 3.0

Mastering Spring Boot 3.0

By : Ahmet Meric
4.4 (5)
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Mastering Spring Boot 3.0

Mastering Spring Boot 3.0

4.4 (5)
By: Ahmet Meric

Overview of this book

Mastering Spring Boot 3.0 is your gateway to building scalable and robust backend systems using the latest techniques. Penned by a seasoned software developer with 20+ years of experience in the tech industry, this book follows a hands-on, step-by-step approach to helping you understand Spring Boot concepts and apply them to real-world projects. You’ll start by exploring key architectural patterns such as DDD, CQRS, and event sourcing. Next, you’ll focus on the nuances of reactive REST development, delve into advanced testing strategies, and fortify your applications' security. You’ll also discover the power of containerization and orchestration with Spring Boot 3.0 and unlock its potential for smooth deployments. Additionally, by integrating Kafka, you’ll be able to build robust event-driven systems. By the end of this book, you’ll have become proficient in architectural patterns, testing strategies, and application security. Whether you’re an architect, backend developer, or DevOps engineer, this book will help you leverage the advanced features of Spring Boot 3.0 for secure and efficient backend development.
Table of Contents (16 chapters)
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1
Part 1: Architectural Foundations
3
Part 2: Architectural Patterns and Reactive Programming
6
Part 3: Data Management, Testing, and Security
10
Part 4: Deployment, Scalability, and Productivity

Spring Data: SQL, NoSQL, Cache Abstraction, and Batch Processing

Welcome to Chapter 4. Here, we are going to take a closer look at the Spring Data approach. In this chapter, we want to learn how the Spring Data approach can work for us. Spring Data is one of the key parts of the Spring Boot ecosystem. This will help you to clearly understand how to work with different kinds of databases in Spring Boot 3.0.

Why does this chapter matter? In software development, how we manage data is very important, and is more than just storing the data. This part of the book is not only about studying various parts of Spring Data, but it’s also about putting them to work in real-life situations. In this chapter, we will see how to configure and use Spring Data, which helps a lot in data management activities. You will learn how to work with structured data, stored in SQL databases, and unstructured data that is stored in NoSQL databases, ideal for various types of data. Furthermore, we will...

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Mastering Spring Boot 3.0
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