Persistence Best Practices for Java Applications Effective strategies for distributed cloud–native applications

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Posted on 26 Sep 18:41 | by Apple | 0 views

Free Download Persistence Best Practices for Java Applications
by Santana, Otàvio;Varela, Karina;
English | 2023 | ISBN: 1837631271 | 202 pages | True PDF | 11.7 MB
The definitive guide for designing and delivering reliable and high-performing persistence layers using Java in the cloud-native age

Purchase of the print or Kindle book includes a free PDF eBook
Key Features
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
Book 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
Who this book is for
If you're a developer, engineer, or software architect working in the field of software development, particularly with a focus on Java solutions, this book is for you.
Table of Contents
Data Storage challenges
Distilling the Multiple Database Flavors
Data storage challenges in the cloud
Sketching architecture strategies
A bird's-eye view of persistence within Jakarta EE and MicroProfile lands
DTOs and the cloud-native services relation
Understanding Java Mapping
Frameworks impacts on good practices
A bird's-eye view of Jakarta EE and MicroProfile
Enhancing the integration between JPA and relational databases
NoSQL in Java demystified
The missing guide for JOOQ adoption

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