Persistence Best Practices for Java Applications: Effective strategies for distributed cloud-native applications and data-driven modernization
暫譯: Java 應用程式的持久性最佳實踐:分散式雲原生應用程式與數據驅動現代化的有效策略

Santana, Otàvio, Varela, Karina

  • 出版商: Packt Publishing
  • 出版日期: 2023-08-25
  • 售價: $1,910
  • 貴賓價: 9.5$1,815
  • 語言: 英文
  • 頁數: 202
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1837631271
  • ISBN-13: 9781837631278
  • 相關分類: Java 程式語言
  • 海外代購書籍(需單獨結帳)

商品描述

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.

商品描述(中文翻譯)

在雲原生時代,設計和交付可靠且高效的持久層的權威指南,使用 Java

購買印刷版或 Kindle 書籍包括免費的 PDF 電子書

主要特點


  • 揭示設計可讀且可維護架構和 Java 應用程式的資料庫模式

  • 掌握各種技術以克服應用程式和架構的持久性挑戰

  • 發現利用雲原生技術的變更資料擷取進行無痛的應用程式現代化

書籍描述

擁有穩固的軟體架構為技術解決方案注入生命。在應用程式開發的早期階段,需要做出關鍵決策,例如選擇微服務、單體架構、事件驅動方法或容器化。在 Java 的上下文中,框架和執行環境也需要被定義。但有一個方面常常被忽視——持久層——它在現代雲原生解決方案中扮演著類似於資料儲存的關鍵角色。為了優化應用程式和資料儲存,對最佳實踐、技術和現有方法的全面理解至關重要。

本書介紹了可以在 Java 解決方案中使用的成熟模式和標準,並提供了對雲原生微服務中流行技術和框架的優缺點的寶貴見解,以及良好的 Java 編碼實踐。隨著進展,您將直面雲採用的挑戰,特別是與通過堆疊現代化來降低成本的日益需求相關的挑戰。在這些頁面中,您將發現應用程式現代化策略,並學習企業資料整合模式和事件驅動架構如何使現代化過程順利進行,對現有的遺留堆疊影響低至零。

您將學到什麼


  • 深入了解 Java 服務中的資料整合及框架的內部運作

  • 應用資料設計模式以創建更可讀且可維護的設計系統

  • 理解設計模式對程式性能的影響

  • 探索雲原生技術在現代應用程式持久性中的角色

  • 優化資料庫架構設計並利用索引策略以改善性能

  • 實施經驗證的策略以高效處理資料儲存、檢索和管理

本書適合誰

如果您是從事軟體開發的開發人員、工程師或軟體架構師,特別是專注於 Java 解決方案的話,本書適合您。

目錄大綱

  1. Data Storage challenges
  2. Distilling the Multiple Database Flavors
  3. Data storage challenges in the cloud
  4. Sketching architecture strategies
  5. A bird's-eye view of persistence within Jakarta EE and MicroProfile lands
  6. DTOs and the cloud-native services relation
  7. Understanding Java Mapping
  8. Frameworks impacts on good practices
  9. A bird's-eye view of Jakarta EE and MicroProfile
  10. Enhancing the integration between JPA and relational databases
  11. NoSQL in Java demystified
  12. The missing guide for JOOQ adoption

目錄大綱(中文翻譯)


  1. Data Storage challenges

  2. Distilling the Multiple Database Flavors

  3. Data storage challenges in the cloud

  4. Sketching architecture strategies

  5. A bird's-eye view of persistence within Jakarta EE and MicroProfile lands

  6. DTOs and the cloud-native services relation

  7. Understanding Java Mapping

  8. Frameworks impacts on good practices

  9. A bird's-eye view of Jakarta EE and MicroProfile

  10. Enhancing the integration between JPA and relational databases

  11. NoSQL in Java demystified

  12. The missing guide for JOOQ adoption