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Software Architecture Patterns, Antipatterns, and Pitfalls
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Software Architecture Patterns, Antipatterns, and Pitfalls : Understanding Qualitative Trade-Offs

Book Details

Format Paperback / Softback
ISBN-10 834166392Y
ISBN-13 9798341663923
Publisher O'Reilly Media
Imprint O'Reilly Media
Country of Manufacture GB
Country of Publication GB
Publication Date Nov 30th, 2026
Print length 450 Pages
Ksh 10,100.00
Not Yet Published 0 in stock

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As software systems grow in complexity and scale, applying the right architectural pattern becomes critical to meeting performance, agility, and operational demands. This book from Neal Ford, Mark Richards, and Raju Gandhi focuses on modern software patterns and their practical use in building scalable, resilient, and maintainable systems.
The increasing adoption of cloud native development, real-time applications, and AI-enabled services requires mastering the trade-offs of the most influential software architecture patterns and antipatterns shaping today's technology landscape. As software systems grow in complexity and scale, applying the right architectural pattern becomes critical to meeting performance, agility, and operational demands. This book from Neal Ford, Mark Richards, and Raju Gandhi focuses on modern software patterns and their practical use in building scalable, resilient, and maintainable systems. The authors' examination of use cases and analysis of trade-offs will help software developers, architects, and technical leaders select the right pattern for their system's needs. Whether you're modernizing a legacy monolith, building cloud native applications, or scaling distributed systems, you'll get clear guidance and insights to support your journey. Understand the core principles, strengths, and limitations of key software architecture patternsEvaluate architecture patterns using use cases and trade-offsLearn the role of supporting concepts within modern architectural ecosystemsSelect and apply appropriate architecture patterns based on business and technical requirementsAnalyze architectural trade-offs to make informed decisions about scalability, performance, complexity, and maintainabilityDesign cohesive, resilient, and evolvable systems using proven patterns and modern industry practices

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