Fault Detection in Microservice Architectures

Integrating Software Fault Prediction with DevSecOps

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Beschreibung

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 highrisk services before deployment, improving reliability and security. This book revisits the classical approach of using objectoriented 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 faultaware DevSecOps culture. It helps you connect predictive insights to realtime decisions, improving reliability, security, and deployment confidence across distributed systems. You will also learn about architectural guidelines on embedding faultprediction engines into Kubernetesbased 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 realtime 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.

Artikeldetails

EAN

9798868827112

Sprache

Englisch

Einband / Art

Taschenbuch

Maße

254 x 178 x 13 mm

Erscheinungsjahr

2026

Verlag / Hersteller

Apress