Architecting at Scale: A Practical Guide to Large-Scale System Design: From Monolith to AI-Native, Beyond Scaling Servers - Softcover

Siddique, Imran

Softcover

ISBN 10: 1807420973 ISBN 13: 9781807420970

Publisher: Packt Publishing Limited, 2026

Synopsis

"This book makes a compelling case that experimentation is not a process layered on top of architecture, but a property the architecture itself must support."- Scott Hanselman, VP, Member of Technical Staff, Microsoft and GitHub Key Features Apply Scale by Subtraction to improve reliability while controlling cost and complexity Evolve ShopFlow from MVP to a global platform through realistic architectural trade-offs Implement Zero Trust, database sharding, FinOps, and AI-native self-healing Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionScale systems confidently by knowing when to simplify instead of adding complexity. You'll learn to distinguish temporary demand spikes from sustained growth, align architecture with business goals, and make decisions that improve reliability, cost efficiency, and delivery speed using measurable ROI instead of assumptions. Following the evolution of ShopFlow from startup MVP to a global AI-native platform, you'll tackle real-world trade-offs in application design, data, security, infrastructure, and operations. Through practical scenarios, you'll determine when to scale vertically or horizontally, decouple services, shard databases, implement Zero Trust security, and introduce AI-driven automation. Along the way, you'll apply the Scale by Subtraction framework to eliminate unnecessary complexity, reduce operational overhead, and improve system resilience without overengineering. Written by Imran Siddique, a Principal Group Engineering Manager at Microsoft with over 17 years of experience building hyperscale systems, this book draws on expertise from Azure SQL, Azure DevOps, Azure Copilot, and other large-scale Microsoft platforms. By the end of this book, you'll be able to make evidence-based architectural decisions and design distributed systems that scale sustainably without unnecessary cost or complexity.What you will learn Apply Scale by Subtraction to reduce system complexity Distinguish temporary traffic spikes from sustained growth Use tipping-point metrics to guide service decoupling Shard databases while preserving data integrity Secure distributed systems with Zero Trust and mTLS Balance delivery velocity, availability, and FinOps Design AI-native infrastructure with autonomous agents Who this book is forSoftware architects, engineering directors, CTOs, and senior or staff engineers who need to scale systems, teams, and operational practices without introducing unnecessary complexity. A fundamental understanding of cloud computing and basic familiarity with AI applications are recommended; no specific language, vendor, or technology stack is required.

About this title

About the Author

Imran Siddique is a Principal Group Engineering Manager at Microsoft with over 17 years of experience shaping the evolution of Azure. Currently, he leads the global engineering team powering Azure Copilot and AI experiences across GitHub and VS Code. Previously, Imran built critical platforms for Azure for Industries, Azure DevOps, and SQL Azure. He also directed the growth of Microsoft Learn, the company's global training ecosystem. A winner of multiple Microsoft Global Hackathon Executive Challenges, Imran specializes in high-performance distributed systems and holds a BTech in Computer Science from VJTI.

Edition details

• Publisher: Packt Publishing Limited
• Publication date: 2026
• Language: English
• ISBN 10: 1807420973
• ISBN 13: 9781807420970
• Binding: Paperback
• Number of pages: 590