Software Architecture Patterns, Antipatterns, and Pitfalls: Understanding Trade-Offs
暫譯: 軟體架構模式、反模式與常見陷阱:理解取捨
Richards, Mark, Ford, Neal, Gandhi, Raju
- 出版商: O'Reilly
- 出版日期: 2026-12-08
- 售價: $2,490
- 貴賓價: 9.5 折 $2,365
- 語言: 英文
- 頁數: 577
- 裝訂: Quality Paper - also called trade paper
- ISBN: 9798341663923
- ISBN-13: 9798341663923
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相關分類:
Design Pattern 、Microservices 微服務
尚未上市,無法訂購
相關主題
商品描述
As software systems grow in complexity and scale, choosing the right architectural pattern is critical to meeting performance, agility, and operational demands. In this book, Mark Richards, Neal Ford, and Raju Gandhi detail modern software architecture patterns and the antipatterns and pitfalls to avoid. Unique star-chart ratings for each pattern let you see at a glance how well it supports scalability, resilience, and maintainability. You'll learn how your choices affect an architecture's capabilities in different contexts, such as microservices or event-driven architectures, and how to evaluate trade-offs to select the right pattern for your system's needs.
Architects, software developers, and technical leaders will find new insights and tools for AI use, governance, aligning architecture with domain and business needs.
- Understand the core principles, strengths, and limitations of key architecture patterns and the antipatterns to avoid
- Select and apply appropriate architecture patterns based on business and technical requirements
- Analyze and compare architectural trade-offs to make informed decisions about how patterns affect capabilities
- Use metrics and fitness functions to modernize governance
- Design cohesive, resilient, and evolvable systems using proven patterns and modern industry practices
商品描述(中文翻譯)
隨著軟體系統的複雜度與規模不斷增加,選擇適當的架構模式(architectural pattern)對於滿足效能、敏捷性與營運需求至關重要。在本書中,Mark Richards、Neal Ford 與 Raju Gandhi 詳細介紹現代軟體架構模式,以及應避免的反模式(antipattern)與常見陷阱。每種模式都提供獨特的星級圖表評分,讓您一眼看出該模式對可擴充性(scalability)、韌性(resilience)與可維護性(maintainability)的支援程度。您將了解在不同情境下,例如微服務(microservices)或事件驅動架構(event-driven architectures)中,架構選擇會如何影響系統能力,並學習如何評估取捨,以便根據系統需求選擇適當的模式。
架構師、軟體開發人員與技術領導者將從中獲得有關 AI 應用、治理,以及讓架構與領域需求和業務需求保持一致的新洞見與工具。
• 了解關鍵架構模式的核心原則、優勢與限制,以及應避免的反模式
• 根據業務與技術需求,選擇並套用適當的架構模式
• 分析並比較架構取捨,以便充分掌握各種模式對系統能力的影響,做出明智決策
• 使用度量指標(metrics)與適配度函數(fitness functions)來現代化治理
• 運用經實證的模式與現代業界實務,設計具備一致性、韌性與可演進性的系統