Deepak Sharma Aamiruddin Syed (8 results)
- Softcover
Seller: California Books, Miami, FL, U.S.A.California Books
Contact seller4-star sellerCondition: New
£ 38.57
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Condition: New.
Language: English
Published by Apress, 2026
- Softcover
Seller: CreativeCenters, Peoria, IL, U.S.A.CreativeCenters
Contact seller5-star sellerpaperback. Condition: New.
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- Softcover
Seller: Rarewaves.com USA, London, LONDO, United KingdomRarewaves.com USA
Contact seller5-star sellerCondition: New
£ 64.51
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Paperback. Condition: New. 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 LearnHow to apply statistical fault prediction using factor analysis in modern SDLC workflowsHow to integrate fault detection engines into CI/CD pipelines using DevSecOps practicesReduce production failures in microservices-based systemsApply OO metrics like CK and Halstead in predictive modelsWho This Book Is ForThis book is for software engineers, DevOps and DevSecOps professionals, SREs, and researchers interested in building reliable, fault-tolerant systems.
- Softcover
Seller: Rarewaves USA, OSWEGO, IL, U.S.A.Rarewaves USA
Contact seller5-star sellerCondition: New
£ 66.62
Free ShippingShips within U.S.A.Quantity: 1 available
Paperback. Condition: New. 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 LearnHow to apply statistical fault prediction using factor analysis in modern SDLC workflowsHow to integrate fault detection engines into CI/CD pipelines using DevSecOps practicesReduce production failures in microservices-based systemsApply OO metrics like CK and Halstead in predictive modelsWho This Book Is ForThis book is for software engineers, DevOps and DevSecOps professionals, SREs, and researchers interested in building reliable, fault-tolerant systems.
- Softcover
Seller: Majestic Books, Hounslow, United KingdomMajestic Books
Contact seller4-star sellerCondition: New
£ 67.72
£ 6.50 shippingShips from United Kingdom to U.S.A.Quantity: 1 available
Condition: New.
- Softcover
Seller: Rarewaves USA United, OSWEGO, IL, U.S.A.Rarewaves USA United
Contact seller5-star sellerCondition: New
£ 65.85
£ 37.45 shippingShips within U.S.A.Quantity: 1 available
Paperback. Condition: New. 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 LearnHow to apply statistical fault prediction using factor analysis in modern SDLC workflowsHow to integrate fault detection engines into CI/CD pipelines using DevSecOps practicesReduce production failures in microservices-based systemsApply OO metrics like CK and Halstead in predictive modelsWho This Book Is ForThis book is for software engineers, DevOps and DevSecOps professionals, SREs, and researchers interested in building reliable, fault-tolerant systems.
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- Softcover
Seller: moluna, Greven, Germanymoluna
Contact seller5-star sellerCondition: New
£ 67.68
£ 41.81 shippingShips from Germany to U.S.A.Quantity: 2 available
Condition: New.
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- Softcover
Seller: Rarewaves.com UK, London, United KingdomRarewaves.com UK
Contact seller5-star sellerCondition: New
£ 58.45
£ 65.00 shippingShips from United Kingdom to U.S.A.Quantity: 1 available
Paperback. Condition: New. 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 LearnHow to apply statistical fault prediction using factor analysis in modern SDLC workflowsHow to integrate fault detection engines into CI/CD pipelines using DevSecOps practicesReduce production failures in microservices-based systemsApply OO metrics like CK and Halstead in predictive modelsWho This Book Is ForThis book is for software engineers, DevOps and DevSecOps professionals, SREs, and researchers interested in building reliable, fault-tolerant systems.
