Persistence best practices for Java applications : effective strategies for distributed cloud-native applications and data-driven modernization / Otàvio Santana and Karina Varela.

Format:

Book

Author/Creator:

Santana, Otàvio, author.

Varela, Karina, author.

Language:

English

Subjects (All):

Java (Computer program language).

Web servers.

Physical Description:

1 online resource (202 pages)

Edition:

1st ed.

Place of Publication:

Birmingham, England : Packt Publishing Ltd., [2023]

Biography/History:

Santana Otavio: Otavio is a passionate architect and software engineer focused on cloud and Java technologies. He has deep expertise in polyglot persistence and high-performance applications in finance, social media, and e-commerce. As a global speaker, he has presented at the most significant international conferences, such as JavaOne, TDC, and Devoxx. He volunteers and helps organize several Java User Groups and meetups around the globe. Otavio is recognized for his Open Source contributions and has received many awards, including all JCP Awards categories and the Duke's Choice Award, to name a few. Otavio is also a distinguished member of the Java Champions and Oracle ACE programs. Otavio loves history, economy, traveling, programming, and real-world languages. He speaks Portuguese, English, Spanish, Italian, and French and is fluent in dad jokes. Varela Karina: Karina Varela has been working with enterprise technologies for over ten years, focusing on cloud solutions, Java technologies, and the open-source culture. Her solid knowledge is built on practical experience in development, architecture, delivery, and troubleshooting production applications and products. Having worked at Red Hat, the biggest open-source company in the industry, not only does she bring a vast understanding of the open-source model and the open communities - but she is also largely involved in the delivery of architecture and delivery of critical-mission software in multiple sectors around the globe and was awarded the Red Hat champion recognition. Karina is well recognized amongst the Java community for articles and blogs, books, talks at international tech conferences, open-source contributions, and active nurturing and management of communities like SOUJava.

Summary:

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.

Contents:

Cover

Title Page

Copyright and Credit

Dedicated

Contributors

Table of Contents

Preface

Part 1: Persistence in Cloud Computing - Storing and Managing Data in Modern Software Architecture

Chapter 1: The History of Data Storage - From the Caves to the Cloud

Why do databases exist?

The challenges of handling data

Characteristics of Java persistence frameworks

The cloud's effect on stateful solutions

Exploring the trade-offs of distributed database systems - a look into the CAP theorem and beyond

Summary

Chapter 2: Exploring the Multiple Database Flavors

A look back at relational databases

A deep dive into non-relational databases (NoSQL)

NoSQL database types - key-value

NoSQL database types - document

NoSQL database types - wide-column/column-family

NoSQL database types - graph

NewSQL databases - trying to get the best out of both worlds

Chapter 3: ChaExploring Architectural Strategies and Cloud Usage

The cloud's influence on software architecture design

Design patterns - the essential building blocks for software architects

Monolithic architecture

Microservices architecture

Common pitfalls of microservices adoption

Cloud deployment strategies that favor modern stateful solutions

Why the hybrid and multi-cloud models matter

Distributed systems and their impact on data systems

Example - architecting a food delivery solution

The basic scenario

The challenges of integrating services around a central piece of data

Chapter 4: Design Patterns for Data Management in Cloud-Native Applications

Technical requirements

Design patterns applied to the Java persistence layer

Unstructured code

The data mapper pattern

The DAO pattern

Repository pattern boosted by DDD

The active record pattern.

Navigating the Java mapping landscape - evaluating framework trade-offs

Data transfer between the view and underlying layers

Part 2: Jakarta EE, MicroProfile, Modern Persistence Technologies, and Their Trade-Offs

Chapter 5: Jakarta EE and JPA - State of Affairs

Jakarta EE overview

Framework unveiled - reflection versus reflectionless solutions

JPA state of affairs

JPA and database mapping patterns

The power of JPA with Quarkus and Panache cloud-native runtimes

Setting up the new service

Persistent entities and database operations

Exposing REST endpoints for data manipulation

Even faster development speed - automatic endpoint generation

General JPA-related performance considerations

Chapter 6: NoSQL in Java Demystified - One API to Rule Them All

Understanding NoSQL database trade-offs

Consuming NoSQL databases with JNoSQL

Key-value databases

Column databases

Document databases

Graph databases

Chapter 7: The Missing Guide for jOOQ Adoption

Data-driven and object-oriented programming in Java

What is jOOQ?

Using jOOQ with Jakarta/MicroProfile

Chapter 8: Ultra-Fast In-Memory Persistence with Eclipse Store

Object-relational impedance mismatch explained

In-memory persistence storage - Eclipse Store

The basics of how to store and manage data in memory

Using in-memory data storage with Jakarta EE and MicroProfile

Part 3: Architectural Perspective over Persistence

Chapter 9: Persistence Practices - Exploring Polyglot Persistence

The trade-offs of polyglot persistence

Understanding DDD and Jakarta

Jakarta Data

Summary.

Chapter 10: Architecting Distributed Systems - Challenges and Anti-Patterns

Data integration scales and distributed transactions

The dual-write anti-pattern

Microservices and shared databases

Eventual consistency problems

Chapter 11: Modernization Strategies and Data Integration

Application modernization strategies

Avoiding data storage-related anti-patterns and bad practices

Introduction to CDC pattern

Adopting cloud technologies and cloud services

Chapter 12: Final Considerations

The power of tests and leading with data-domain tests

Underestimating the importance of documentation

Architecture without architects

Further reading

Index

Other Books You May Enjoy

About Packt.

Notes:

Includes index.

Description based on print version record.

ISBN:

9781837637669

1837637660

OCLC:

1392044290