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

ISBN: 9798341663923
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$69.99
SKU:
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Product Details

Author:
Mark Richards, Neal Ford, Raju Gandhi
Format:
Paperback
Pages:
450
Publisher:
O'Reilly Media (December 1, 2026)
Imprint:
O'Reilly Media
Release Date:
December 1, 2026
Language:
English
ISBN-13:
9798341663923
Weight:
16oz
Dimensions:
7" x 9.19"
File:
TWO RIVERS-PERSEUS-Metadata_Only_Perseus_Distribution_Customer_Group_Metadata_20260525163339-20260525.xml
Folder:
TWO RIVERS
List Price:
$69.99
Country of Origin:
United States
Pub Discount:
60
Case Pack:
18
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$39.89
Publisher Identifier:
P-PER
Discount Code:
C

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Overview

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 patterns
  • Evaluate architecture patterns using use cases and trade-offs
  • Learn the role of supporting concepts within modern architectural ecosystems
  • Select and apply appropriate architecture patterns based on business and technical requirements
  • Analyze architectural trade-offs to make informed decisions about scalability, performance, complexity, and maintainability
  • Design cohesive, resilient, and evolvable systems using proven patterns and modern industry practices

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