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Spring System Design in Practice

Spring System Design in Practice

By : Rodrigo Santiago
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Spring System Design in Practice

Spring System Design in Practice

By: Rodrigo Santiago

Overview of this book

Software system design goes beyond just writing code—it requires a structured approach to translating real-world requirements into scalable, maintainable solutions. With Rodrigo Santiago’s hands-on mentoring style and Java Spring expertise, he makes system design accessible to developers at all levels. Spring System Design in Practice guides you through building robust software architectures with Spring. From breaking down complex business needs into actionable use cases to implementing services using Spring Boot, this book equips you with the tools and best practices needed for developing secure, high-performance applications. You'll explore inter-service communication, security, and aspect-oriented programming to streamline development. Covering microservices architecture, the book demonstrates how to create self-configuring, resilient, and event-driven services that integrate seamlessly into the cloud. Through hands-on experience, you'll apply best practices to enhance reliability and scalability while tackling complex challenges such as state management, resilience patterns, concurrency issues, and distributed transactions—including bottlenecks related to asynchronous and reactive programming.By the end of this book, you'll have the confidence to analyze system requirements and design well-structured, scalable architectures.
Table of Contents (19 chapters)
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1
Part 1: Foundations for System Design
6
Part 2: Designing Great Spring Services
10
Part 3: Security, Performance, and Scalability
14
Part 4: Orchestrating Resilient Services

Handling Data and Evolving Your Microservice

Welcome to Chapter 7! In this chapter, we will explore several topics regarding how to create the data persistence layer of your services. The topics here will be implemented using a SQL database, but we will dive into the architecture, which will help you understand how you should approach data modeling and persistence for any database type.

We will cover the following topics in this chapter:

  • Data persistence in applications with Spring
  • Reactive versus non-reactive data handling
  • SQL versus NoSQL data storage
  • Microservice versus monolithic applications data design
  • Implementing a non-reactive, SQL database persistence layer
  • JpaRepository: your go-to SQL interface in Spring Data
  • Working with transactions in Spring Data
  • Using NamedParameterJdbcTemplate to run raw SQL queries

The chapter starts with a general explanation of how to take architecture decisions on data modeling and the cost of each...

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Spring System Design in Practice
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