Fault Detection in Microservice Architectures: Integrating Software Fault Prediction with Devsecops
暫譯: 微服務架構中的故障檢測：將軟體故障預測與 DevSecOps 整合

Sharma, Deepak, Syed, Aamiruddin

Fault Detection in Microservice Architectures: Integrating Software Fault Prediction with Devsecops
  • 出版商: Apress
  • 出版日期: 2026-06-11
  • 售價: $2,110
  • 貴賓價: 9.5 折 $2,004
  • 語言: 英文
  • 頁數: 210
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 9798868827112
  • ISBN-13: 9798868827112
  • 相關分類: Microservices 微服務、CI/CD

    • 海外代購書籍(需單獨結帳)

相關主題

商品描述

In the age of continuous delivery and microservices, the difference between resilient software and production chaos lies in proactive fault detection. This book shows how to harness the power of predictive analytics and DevSecOps to find weaknesses before they cause outages or security issues.

Blending software engineering theory with actionable implementation guidance for distributed, containerized environments, the book will teach you how to identify high-risk services before deployment, improving reliability and security. This book revisits the classical approach of using object-oriented metrics and linear regression but significantly enhances it through factor analysis. Beyond the math and metrics, this book offers a practical roadmap for building a fault-aware DevSecOps culture. It helps you connect predictive insights to real-time decisions, improving reliability, security, and deployment confidence across distributed systems. You will also learn about architectural guidelines on embedding fault-prediction engines into Kubernetes-based orchestration platforms for runtime monitoring.

Bridging a critical gap between predictive analytics in software quality assurance and modern DevSecOps practices, it establishes a viable pathway for using statistical modeling techniques not just to predict defects, but to inform actionable security and operational decisions in real-time distributed systems.

What You Will Learn

  • How to apply statistical fault prediction using factor analysis in modern SDLC workflows
  • How to integrate fault detection engines into CI/CD pipelines using DevSecOps practices
  • Reduce production failures in microservices-based systems
  • Apply OO metrics like CK and Halstead in predictive models

Who This Book Is For

This book is for software engineers, DevOps and DevSecOps professionals, SREs, and researchers interested in building reliable, fault-tolerant systems.

商品描述(中文翻譯)

在持續交付和微服務的時代，韌性軟體與生產混亂之間的差異在於主動的故障檢測。本書展示了如何利用預測分析和DevSecOps的力量，在故障或安全問題發生之前找到弱點。

本書將軟體工程理論與可行的實施指導相結合，針對分散式、容器化環境進行教學，教你如何在部署之前識別高風險服務，從而提高可靠性和安全性。本書重新檢視了使用物件導向度量和線性回歸的經典方法，但通過因子分析顯著增強了這一方法。除了數學和度量，本書還提供了一個實用的路線圖，以建立一個故障感知的DevSecOps文化。它幫助你將預測見解與實時決策相連接，提高分散式系統的可靠性、安全性和部署信心。你還將學習有關將故障預測引擎嵌入基於Kubernetes的編排平台以進行運行時監控的架構指導。

本書彌補了軟體質量保證中的預測分析與現代DevSecOps實踐之間的關鍵差距，為使用統計建模技術提供了一條可行的途徑，不僅用於預測缺陷，還用於在實時分散式系統中提供可行的安全和操作決策。

**你將學到什麼**

- 如何在現代SDLC工作流程中使用因子分析應用統計故障預測
- 如何使用DevSecOps實踐將故障檢測引擎整合到CI/CD管道中
- 減少基於微服務的系統中的生產故障
- 在預測模型中應用像CK和Halstead的物件導向度量

**本書適合誰**

本書適合軟體工程師、DevOps和DevSecOps專業人士、SRE以及對構建可靠、容錯系統感興趣的研究人員。

作者簡介

Deepak Sharma is Associate Director at the School of Open Learning, University of Delhi, and a seasoned researcher in software engineering and fault prediction, with over a decade years of experience . He holds a Ph.D. in Computer Science and multiple advanced degrees in technology and applications. His academic work focuses on software quality improvement, defect prediction models, and statistical analysis of software metrics. He has published extensively in international journals and conferences and has been recognized by several government bodies for his research contributions.

Aamiruddin Syed is a cybersecurity engineer and DevSecOps practitioner with deep expertise in secure software development, cloud-native architectures, and supply chain security . He has led DevSecOps implementations across global enterprises, integrating predictive risk models into CI/CD pipelines and Kubernetes-based environments.

Aamiruddin is the author of Supply Chain Software Security: AI, IoT, and Application Security (Apress, 2024) and a frequent speaker at DEFCON, Black Hat MEA, RSA and other international cybersecurity forums. His insights ensure that the book translates rigorous models into actionable, real-world strategies for developers, security engineers, and SRE teams.

作者簡介(中文翻譯)

Deepak Sharma 是德里大學開放學習學院的副主任，並且是一位在軟體工程和故障預測方面擁有豐富經驗的研究者，擁有超過十年的經驗。他擁有計算機科學的博士學位以及多個技術和應用的高級學位。他的學術工作專注於軟體質量改進、缺陷預測模型以及軟體指標的統計分析。他在國際期刊和會議上發表了大量論文，並因其研究貢獻而受到多個政府機構的認可。

Aamiruddin Syed 是一位網路安全工程師和DevSecOps實踐者，擁有在安全軟體開發、雲原生架構和供應鏈安全方面的深厚專業知識。他在全球企業中主導了DevSecOps的實施，將預測風險模型整合到CI/CD管道和基於Kubernetes的環境中。

Aamiruddin 是 供應鏈軟體安全：AI、物聯網與應用安全（Apress, 2024）的作者，並且是DEFCON、Black Hat MEA、RSA及其他國際網路安全論壇的常客演講者。他的見解確保了本書將嚴謹的模型轉化為可行的現實世界策略，供開發者、安全工程師和SRE團隊使用。

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