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Packt Publishing
Imran Siddique
Architecting At Scale
N/A
2026
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Publisher > Packt Publishing
Author > Imran Siddique
Title > Architecting At Scale
Issue > N/A
Year > 2026
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ISBN > 9781807420963
Pages > 590
Genre > Programming Web-Scalability
Language > English
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Type > RETAIL
Media > TECH
Format > .epub
Section > eBook
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Published > 2026-08
Release > 2026-09-09
Disks > 04 x 10 MB
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- - -- [ D E S C R I P T I O N ] -- - -
"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 Description Scale 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 for
Software 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.
- - -- [ R E T A I L U R L ] -- - -
https://www.packtpub.com/en-us/product/architecting-at-scale-9781807420963
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