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{ "item_title" : "Persistence Best Practices for Java Applications", "item_author" : [" Otàvio Santana", "Karina Varela "], "item_description" : "The definitive guide for designing and delivering reliable and high-performing persistence layers using Java in the cloud-native agePurchase of the print or Kindle book includes a free PDF eBookKey Features: Uncover database patterns for designing readable and maintainable architectures and Java applicationsMaster various techniques to overcome application and architecture persistence challengesDiscover painless application modernization with change-data-capture powered by cloud-native technologiesBook 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 frameworksApply data design patterns to create a more readable and maintainable design systemUnderstand the impact of design patterns on program performanceExplore the role of cloud-native technologies in modern application persistenceOptimize database schema designs and leverage indexing strategies for improved performanceImplement proven strategies to handle data storage, retrieval, and management efficientlyWho 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.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/1/83/763/127/1837631271_b.jpg", "price_data" : { "retail_price" : "47.99", "online_price" : "47.99", "our_price" : "47.99", "club_price" : "47.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Persistence Best Practices for Java Applications|Otàvio Santana

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

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Overview

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.

This item is Non-Returnable

Details

  • ISBN-13: 9781837631278
  • ISBN-10: 1837631271
  • Publisher: Packt Publishing
  • Publish Date: August 2023
  • Dimensions: 9.25 x 7.5 x 0.43 inches
  • Shipping Weight: 0.78 pounds
  • Page Count: 202

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