Mastering AWS Cloud
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ISBN: 9789365890617
eISBN: 9789365892703
Authors: Paulo H. Leocadio
Rights: Worldwide
Edition: 2026
Pages: 498
Dimension: 7.5*9.25 Inches
Book Type: Paperback

- Description
- Table of Contents
- About the Authors
Cloud computing has redefined how modern businesses scale, secure, and innovate. Amazon Web Services (AWS) is the world’s leading cloud platform, providing the essential compute, storage, networking, and database power that runs modern applications. It stands as the global leader in cloud platforms, empowering millions of organizations with robust infrastructure, automation, and AI-driven services.
This book provides a comprehensive, expert-guided journey through the AWS ecosystem. You will explore core services, advanced networking, infrastructure as code, serverless design, edge computing, and real-world deployment architectures. Each chapter demystifies one vital aspect of AWS mastery, including governance, observability, media streaming, IoT, AI, and global infrastructure best practices.
By the end, readers will confidently architect, secure, and optimize scalable cloud solutions using AWS. The readers will possess a vast, practical knowledge of over 200 AWS services and be able to confidently apply the AWS Well-Architected Framework's six strategic pillars to design, optimize, and manage any cloud solution.
WHAT YOU WILL LEARN
● Design enterprise-grade AWS architectures.
● Master Spark execution model RDDs, DAGs, Catalyst, and Adaptive Query Execution.
● Automate infrastructure with IaC tools.
● Apply secure networking and Zero Trust models.
● Build resilient serverless and edge solutions.
● Deploy AI/ML workloads with AWS services.
● Optimize media, IoT, and hybrid environments.
● Architect for observability and cost-efficiency.
● Scale infrastructure across global zones.
WHO THIS BOOK IS FOR
This book is for cloud architects, DevOps engineers, solution designers, IT managers, and technical leads aiming to gain practical mastery of AWS. It also benefits advanced learners, certification candidates, and professionals building real-world, production-ready cloud systems.
Prologue
1. AWS Architecture
2. Compute
3. Storage
4. Content Delivery Network
5. Security, Identity, and Compliance
6. Database
7. Developer Tools and DevOps: Part 1
8. Developer Tools and DevOps: Part 2
9. End-user, Front-end, and Mobile
10. Applications for Business
11. Analytics and Machine Learning
12. Management and Governance
13. Migration and Transfer
14. AWS Well-Architected Framework
Appendix 1: Smart City Architecture with AWS and the Well-Architected Framework
Appendix 2: Bibliography
Paulo H. Leocadio is a seasoned technologist, author, and international advisor with over four decades of experience spanning software engineering, cloud infrastructure, artificial intelligence (AI), and enterprise architecture. A Microsoft alumnus with a legacy of leading global transformation projects, Paulo has designed and delivered digital infrastructure strategies across 30+ countries, working with governments, multinationals, and startups alike.
Paulo holds a foundational degree in electronic and computer science engineering, postgraduate qualifications in solid state physics and data science, and a master’s in international business. His work reflects a rare blend of theoretical expertise with practical application—from co-authoring public sector cloud modernization blueprints to developing AI-powered cybersecurity frameworks using Hugging Face Diffusers and AWS.
Beyond his consulting and engineering work, Paulo is a prolific academic contributor and peer reviewer for international AI journals. His published works reflect a commitment to bridging frontier science with real-world implementation, often grounded in speculative and philosophical views on the future of intelligent systems.
Currently, he leads Zinnia AI software engineering and digital design—a research-driven enterprise under Zinnia holdings—and mentors emerging AI professionals worldwide. Mastering AWS Cloud is his key contribution to the cloud-native community: a thorough, structured, and highly technical reference for professionals building the next generation of intelligent, scalable systems.
 
             
