Syed Aamiruddin (22 results)

Paperback. Condition: new. Paperback. Delve deep into the forefront of technological advancements shaping the future of supply chain safety and resilience. In an era where software supply chains are the backbone of global technology ecosystems, securing them against evolving threats has become mission critical. This book offers a comprehensive guide to understanding and implementing next-generation strategies that protect these intricate networks from most pressing risks.This book begins by laying the foundation of modern software supply chain security, exploring the shifting threat landscape and key technologies driving the future. Delve into the heart of how AI and IoT are transforming supply chain protection through advanced predictive analytics, real-time monitoring, and intelligent automation. Discover how integrating application security practices within your supply chain can safeguard critical systems and data.Through real-world case studies and practical insights, learn how to build resilient supply chains equipped to defend against sophisticated attacks like dependency confusion, backdoor injection, and adversarial manipulation. Whether youre managing a global software operation or integrating DevSecOps into your CI/CD pipelines, this book offers actionable advice for fortifying your supply chain end-to-end.You Will:Learn the role of AI and machine learning in enhancing supply chain threat detectionFind out the best practices for embedding application security within the supply chain lifecycleUnderstand how to leverage IoT for secure, real-time supply chain monitoring and controlWho Is This Book ForThe target audience for a book would typically include professionals and individuals with an interest or involvement in cloud-native application development and DevOps practices. It will cover fundamentals of cloud-native architecture, DevOps principles, and provide practical guidance for building and maintaining scalable and reliable applications in a cloud-native environment. The book's content will cater to beginner to intermediate level professionals seeking in-depth insights. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Condition: New. Brand New! Not Overstocks or Low Quality Book Club Editions! Direct From the Publisher! We're not a giant, faceless warehouse organization! We're a small town bookstore that loves books and loves it's customers! Buy from Lakeside Books.

Condition: New.

paperback. Condition: New.

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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.…

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.…

Condition: New.

Taschenbuch. Condition: Neu. Neuware -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. 210 pp. Englisch.…

Taschenbuch. Condition: Neu. Neuware -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 modelsWho This Book Is ForThis book is for software engineers, DevOps and DevSecOps professionals, SREs, and researchers interested in building reliable, fault-tolerant systems.…

Taschenbuch. Condition: Neu. Neuware - 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.…

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.…

Taschenbuch. Condition: Neu. Neuware -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 modelsWho This Book Is ForThis book is for software engineers, DevOps and DevSecOps professionals, SREs, and researchers interested in building reliable, fault-tolerant systems.Libri GmbH, Europaallee 1, 36244 Bad Hersfeld 210 pp. Englisch.…

Condition: New.

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.…

Taschenbuch. Condition: Neu. Neuware -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. 232 pp. Englisch.…

Condition: new. Questo è un articolo print on demand.

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 210 pp. Englisch.…

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Delve deep into the forefront of technological advancements shaping the future of supply chain safety and resilience. In an era where software supply chains are the backbone of global technology ecosystems, securing them against evolving threats has become mission critical. This book offers a comprehensive guide to understanding and implementing next-generation strategies that protect these intricate networks from most pressing risks.This book begins by laying the foundation of modern software supply chain security, exploring the shifting threat landscape and key technologies driving the future. Delve into the heart of how AI and IoT are transforming supply chain protection through advanced predictive analytics, real-time monitoring, and intelligent automation. Discover how integrating application security practices within your supply chain can safeguard critical systems and data.Through real-world case studies and practical insights, learn how to build resilient supply chains equipped to defend against sophisticated attacks like dependency confusion, backdoor injection, and adversarial manipulation. Whether you're managing a global software operation or integrating DevSecOps into your CI/CD pipelines, this book offers actionable advice for fortifying your supply chain end-to-end.You Will:Learn the role of AI and machine learning in enhancing supply chain threat detectionFind out the best practices for embedding application security within the supply chain lifecycleUnderstand how to leverage IoT for secure, real-time supply chain monitoring and controlWho Is This Book ForThe target audience for a book would typically include professionals and individuals with an interest or involvement in cloud-native application development and DevOps practices. It will cover fundamentals of cloud-native architecture, DevOps principles, and provide practical guidance for building and maintaining scalable and reliable applications in a cloud-native environment. The book's content will cater to beginner to intermediate level professionals seeking in-depth insights. 559 pp. Englisch.…

Kartoniert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt.

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Delve deep into the forefront of technological advancements shaping the future of supply chain safety and resilience. In an era where software supply chains are the backbone of global technology ecosystems, securing them against evolving threats has become mission critical. This book offers a comprehensive guide to understanding and implementing next-generation strategies that protect these intricate networks from most pressing risks.This book begins by laying the foundation of modern software supply chain security, exploring the shifting threat landscape and key technologies driving the future. Delve into the heart of how AI and IoT are transforming supply chain protection through advanced predictive analytics, real-time monitoring, and intelligent automation. Discover how integrating application security practices within your supply chain can safeguard critical systems and data.Through real-world case studies and practical insights, learn how to build resilient supply chains equipped to defend against sophisticated attacks like dependency confusion, backdoor injection, and adversarial manipulation. Whether you're managing a global software operation or integrating DevSecOps into your CI/CD pipelines, this book offers actionable advice for fortifying your supply chain end-to-end.You Will:Learn the role of AI and machine learning in enhancing supply chain threat detectionFind out the best practices for embedding application security within the supply chain lifecycleUnderstand how to leverage IoT for secure, real-time supply chain monitoring and controlWho Is This Book ForThe target audience for a book would typically include professionals and individuals with an interest or involvement in cloud-native application development and DevOps practices. It will cover fundamentals of cloud-native architecture, DevOps principles, and provide practical guidance for building and maintaining scalable and reliable applications in a cloud-native environment. The book's content will cater to beginner to intermediate level professionals seeking in-depth insights.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 592 pp. Englisch. …

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Delve deep into the forefront of technological advancements shaping the future of supply chain safety and resilience. In an era where software supply chains are the backbone of global technology ecosystems, securing them against evolving threats has become mission critical. This book offers a comprehensive guide to understanding and implementing next-generation strategies that protect these intricate networks from most pressing risks.This book begins by laying the foundation of modern software supply chain security, exploring the shifting threat landscape and key technologies driving the future. Delve into the heart of how AI and IoT are transforming supply chain protection through advanced predictive analytics, real-time monitoring, and intelligent automation. Discover how integrating application security practices within your supply chain can safeguard critical systems and data.Through real-world case studies and practical insights, learn how to build resilient supply chains equipped to defend against sophisticated attacks like dependency confusion, backdoor injection, and adversarial manipulation. Whether you're managing a global software operation or integrating DevSecOps into your CI/CD pipelines, this book offers actionable advice for fortifying your supply chain end-to-end.You Will:Learn the role of AI and machine learning in enhancing supply chain threat detectionFind out the best practices for embedding application security within the supply chain lifecycleUnderstand how to leverage IoT for secure, real-time supply chain monitoring and controlWho Is This Book ForThe target audience for a book would typically include professionals and individuals with an interest or involvement in cloud-native application development and DevOps practices. It will cover fundamentals of cloud-native architecture, DevOps principles, and provide practical guidance for building and maintaining scalable and reliable applications in a cloud-native environment. The book's content will cater to beginner to intermediate level professionals seeking in-depth insights. …