Persistence Best Practices for Java Applications: Effective strategies for distributed cloud-native applications and data-driven modernization

Otavio Santana

Karina Varela

$47.99

4.9 (9 Ratings)

Paperback Aug 2023 202 pages 1st Edition

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Key benefits

Uncover database patterns for designing readable and maintainable architectures and Java applications

Master various techniques to overcome application and architecture persistence challenges

Discover painless application modernization with change-data-capture powered by cloud-native technologies

Description

Having a solid software architecture breathes life into tech solutions. In the early stages of an application’s development, critical decisions need to be made, such as whether to go for microservices, a monolithic architecture, the event-driven approach, or containerization. In Java contexts, frameworks and runtimes also need to be defi ned. But one aspect is often overlooked – the persistence layer – which plays a vital role similar to that of data stores in modern cloud-native solutions. To optimize applications and data stores, a holistic understanding of best practices, technologies, and existing approaches is crucial. This book presents well-established patterns and standards that can be used in Java solutions, with valuable insights into the pros and cons of trending technologies and frameworks used in cloud-native microservices, alongside good Java coding practices. As you progress, you’ll confront the challenges of cloud adoption head-on, particularly those tied to the growing need for cost reduction through stack modernization. Within these pages, you’ll discover application modernization strategies and learn how enterprise data integration patterns and event-driven architectures enable smooth modernization processes with low-to-zero impact on the existing legacy stack.

What you will learn

Gain insights into data integration in Java services and the inner workings of frameworks

Apply data design patterns to create a more readable and maintainable design system

Understand the impact of design patterns on program performance

Explore the role of cloud-native technologies in modern application persistence

Optimize database schema designs and leverage indexing strategies for improved performance

Implement proven strategies to handle data storage, retrieval, and management efficiently

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Access this title in our online reader with advanced features

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Frequently bought together

Microservices with Spring Boot 3 and Spring Cloud

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Persistence Best Practices for Java Applications

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Full Stack Development with Spring Boot 3 and React

$46.99

Total $ 141.97

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Amazon verified reviews

nilofaur Nov 16, 2023

Excellent guide for Java developers! 'Persistence Best Practices for Java Applications' provides valuable insights and practical tips, enhancing my understanding of effective persistence strategies. The book's real-world examples make complex concepts easy to grasp, making it an essential resource for any Java developer looking to optimize their applications.

Amazon Verified review

POE Sep 12, 2023

This book takes a deep dive into persistence in cloud computing, persistence technologies, and considers the architectural perspective. The narrow focus of this book is appreciated; it is very specific and does not stray from the stated topic area.The first section of the book covers how to store and manage data in the cloud with details on SQL, NoSQL, and NewSQL databases. The authors do a great job of explaining how the cloud impacts our software design decisions. Design patterns are also covered in this first section.The next section of the book covers Jakarta EE and JPA, an API to handle NoSQL in Java, jOOQ, and in-memory persistence. The final section of the book reviews the architectural perspective to include persistence practices, architecting distributed systems, and modernization strategies.If you care about persistence and are a Java developer, you need this book.

HARI HARAN SANKARAN Nov 16, 2023

As a seasoned Java developer navigating the complexities of distributed cloud-native applications, I found "Persistence Best Practices for Java Applications" to be an invaluable resource. The book not only addresses the challenges associated with modernizing applications but also offers effective strategies to enhance persistence and resilience in a cloud environment.The author's approach is both comprehensive and practical, covering a wide array of topics essential for developing robust and scalable applications. From data-driven modernization techniques to distributed system best practices, each chapter is well-organized, providing a clear understanding of the concepts. This is a must-read for developers looking to stay ahead in the ever-evolving world of cloud-native applications. It serves as a valuable reference guide, offering effective strategies that can be applied directly to enhance the persistence and resilience of Java applications. Highly recommended!

arsalan Sep 04, 2023

The book goes beyond theory and offers a plethora of techniques to overcome common application and architecture persistence challenges. Whether you're dealing with complex data structures, performance bottlenecks, or scalability issues, the authors provide practical solutions and best practices to address these concerns. This hands-on approach ensures that readers not only understand the concepts but can also apply them effectively in their projects

Bruno Souza Sep 03, 2023

I have known Otávio and Karina for many years, and their work is amazing.With many years of experience in data and databases, and having worked on implementing some of the most popular open source databases, they understand a lot about data. Not to mention their work on Jakarta EE and Microprofile!I had the honor of reading an initial version of this book, and I was amazed how it walks you through the most important aspects of data and Java, data, NoSQL and even cloud.I'm sure you will enjoy the book as much as I did!

Persistence Best Practices for Java Applications: Effective strategies for distributed cloud-native applications and data-driven modernization

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