Cloud-Native Modernization Unleashed : Revolutionizing Legacy Systems with Spring, AI, Cloud, and Microservices (First Edition)

個数:
  • 予約

Cloud-Native Modernization Unleashed : Revolutionizing Legacy Systems with Spring, AI, Cloud, and Microservices (First Edition)

  • 現在予約受付中です。出版後の入荷・発送となります。
    重要:表示されている発売日は予定となり、発売が延期、中止、生産限定品で商品確保ができないなどの理由により、ご注文をお取消しさせていただく場合がございます。予めご了承ください。

    ●3Dセキュア導入とクレジットカードによるお支払いについて
  • 【入荷遅延について】
    世界情勢の影響により、海外からお取り寄せとなる洋書・洋古書の入荷が、表示している標準的な納期よりも遅延する場合がございます。
    おそれいりますが、あらかじめご了承くださいますようお願い申し上げます。
  • ◆画像の表紙や帯等は実物とは異なる場合があります。
  • ◆ウェブストアでの洋書販売価格は、弊社店舗等での販売価格とは異なります。
    また、洋書販売価格は、ご注文確定時点での日本円価格となります。
    ご注文確定後に、同じ洋書の販売価格が変動しても、それは反映されません。
  • 製本 Paperback:紙装版/ペーパーバック版
  • 言語 ENG
  • 商品コード 9798868823787

Full Description

This book is a comprehensive roadmap for transitioning legacy systems into agile, cloud-native, and intelligent architectures. Whether you're a software architect, DevOps engineer, or technology decision-maker, this book is your essential guide to navigating the evolving landscape of modern application development.

The book starts with an overview of why modernisation is imperative in today's fast-paced environment, highlighting the limitations of legacy architectures and the advantages of embracing cloud-native models. From building a solid modernisation roadmap to understanding the anatomy of legacy systems like monoliths and N-tier applications, readers will gain practical insights into planning and execution. As the book progresses, it delves into the core of modern software architecture—microservices, containers, Kubernetes, and API-first design—explaining how to design, deploy, and scale distributed systems. Real-world implementations using Spring Boot, Node.js, React, and cloud platforms provide hands-on guidance for developers. Further, chapters cover performance optimisation, observability with Prometheus and Grafana, centralised logging, and CI/CD pipeline automation with Jenkins and GitHub Actions. Security is woven throughout, with detailed chapters on OAuth, API gateway protection, DevSecOps, and regulatory compliance, including GDPR and HIPAA. The book culminates with cutting-edge applications of AI and ML—chatbots, predictive analytics, and intelligent automation—showing how AI can enhance both customer experience and backend operations.

The book is a collection of multiple patterns, best practices, and real-world use cases, which equips the reader to lead successful modernisation initiatives that are secure, scalable, and future-ready.

What you will learn:

What are the limitations of legacy architectures and the advantages of embracing cloud-native models.
Understand the principles and strategies behind modernising legacy applications for cloud-native environments.
How to design, implement, and scale microservices using technologies like Spring Boot, Node.js, React, Docker, and Kubernetes.
How to secure modern applications through authentication, authorisation, API protection, and compliance with industry standards.

Who this book is for:

This book is designed for cloud architects and engineers, software developers, DevOps engineers, and IT leaders looking to modernize applications without starting from scratch.

Contents

Chapter 1: Introduction to Application Modernization.- Chapter 2: Understanding Legacy Systems.- Chapter 3: Designing a Modern Cloud-Native Architecture.- Chapter 4: Implementing Microservices with Spring Boot, Node.js, and React.- Chapter 5: Scaling, Monitoring, and Performance Optimization of Microservices.- Chapter 6: Securing Microservices - Authentication, Authorization, and API Security 31.- Chapter 7: Continuous Integration and Continuous Deployment (CI/CD) for Modern Applications 35.- Chapter 8: Observability, Logging, and Monitoring for Modern Applications.- Chapter 9: Security and Compliance in Modern Applications.- Chapter 10: Observability, Logging, and Monitoring for Modern Applications.- Chapter 11: Security Best Practices for Modern Applications.- Chapter 12: AI Integration in Modern Application Modernization.- Chapter 13: AI and Machine Learning Integration in Modern Applications.- Chapter 14: Security and Compliance in Modern Applications.- Chapter 15: Performance Optimization in Modern Applications.- Chapter 16: Security Considerations in Modern Application Modernization.

最近チェックした商品