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 architecturemicroservices, containers, Kubernetes, and API-first designexplaining 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 MLchatbots, predictive analytics, and intelligent automationshowing 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 equip 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.

Explains integration of AI/ML into modern apps with real-world use cases, automation, and cloud deployment Provides end-to-end application security through DevSecOps practices, API protection, and compliance with GDPR and HIPAA Explores implementing CI/CD pipelines, observability tools, and performance tuning for resilient, scalable microservices

Autorentext

Mrinmoy Aich is a seasoned technology leader with over 25 years of experience in software architecture, cloud computing, AI integration, and supply chain logistics. He specializes in modernizing legacy enterprise systems through cloud-native transformation, microservices architecture, and AI-driven automation, enabling businesses to scale efficiently and drive sustained innovation. Throughout his career, Mrinmoy has led end-to-end digital transformation initiatives for global enterprises, including TESCO, Schneider National, Conway Logistics, Agility Logistics (Singapore), and DHL. His deep expertise spans multi-cloud strategy, cloud security, and enterprise integration, with a proven track record of architecting and delivering mission-critical solutions. As a certified consultant in Oracle AI, Oracle Integration Cloud (OIC), and Infrastructure, Mrinmoy is passionate about building intelligent, future-ready systems that align technology with business goals. He is also a mentor, thought leader, and writer, committed to sharing practical insights that empower teams and accelerate organizational growth.

Inhalt

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.- Chapter 7: Continuous Integration and Continuous Deployment (CI/CD) for Modern Applications.- 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: Introduction to Agentic AI in Application Modernization.- Chapter 12: Identifying Modernization Workflows Suitable for Agentic AI.- Chapter 13: Data Modernization and Migration.- Chapter 14: Event-Driven Modernized Applications.- Chapter 15: Cloud Cost Optimization for Modernized Applications.- Chapter 16: Testing Strategically for Modernized Applications.