Akshay Mathur (26 results)

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Paperback. Condition: New. Use Traefik as a load balancer or a reverse proxy for microservices-based architecture. This book covers Traefik integration for microservices architecture concerns such as service discovery, telemetry, and resiliency.The book focuses on building an in-depth understanding of Traefik. It starts with the fundamentals of Traefik, including different load balancing algorithms available, and failure handling for application resiliency. Examples are included for the failure scenarios. TLS support is explained, including scenarios of TLS termination and TLS forwarding. Traefik supports TLS termination using Let's Encrypt. Traefik deployment in prominent microservices ecosystems is discussed, including Docker and Kubernetes.Traefik is a language-neutral component. This book presents examples of its deployment with Java-based microservices. The examples in the book show Traefik integration with Jaeger/Zipkin, Prometheus, Grafana, and FluentD. Also covered is Traefik for Python-based services and Java-based services deployed in the Kubernetes cluster. By the end of the book, you will confidently know how to deploy and integrate Traefik into prominent microservices ecosystems.What You Will LearnUnderstand Traefik basics and its componentsExplore different load balancing scenarios and TLS terminationConfigure service discovery, circuit breakers, timeouts, and throttlingMonitor Traefik using Prometheus and request tracingWho This Book Is ForDevelopers and project managers who have developed microservices and are deploying them in cloud and on-premise environments with Kubernetes or Docker. The book is not specifically written for any particular programming language. The examples presented use Java or Python.…

Condition: New.

Paperback. Condition: New. Use Traefik as a load balancer or a reverse proxy for microservices-based architecture. This book covers Traefik integration for microservices architecture concerns such as service discovery, telemetry, and resiliency.The book focuses on building an in-depth understanding of Traefik. It starts with the fundamentals of Traefik, including different load balancing algorithms available, and failure handling for application resiliency. Examples are included for the failure scenarios. TLS support is explained, including scenarios of TLS termination and TLS forwarding. Traefik supports TLS termination using Let's Encrypt. Traefik deployment in prominent microservices ecosystems is discussed, including Docker and Kubernetes.Traefik is a language-neutral component. This book presents examples of its deployment with Java-based microservices. The examples in the book show Traefik integration with Jaeger/Zipkin, Prometheus, Grafana, and FluentD. Also covered is Traefik for Python-based services and Java-based services deployed in the Kubernetes cluster. By the end of the book, you will confidently know how to deploy and integrate Traefik into prominent microservices ecosystems.What You Will LearnUnderstand Traefik basics and its componentsExplore different load balancing scenarios and TLS terminationConfigure service discovery, circuit breakers, timeouts, and throttlingMonitor Traefik using Prometheus and request tracingWho This Book Is ForDevelopers and project managers who have developed microservices and are deploying them in cloud and on-premise environments with Kubernetes or Docker. The book is not specifically written for any particular programming language. The examples presented use Java or Python.…

Condition: New. 2020. 1st ed. paperback. . . . . .

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Condition: New.

Paperback. Condition: Brand New. 270 pages. 9.25x6.10x0.67 inches. In Stock.

Condition: New. 2020. 1st ed. paperback. . . . . . Books ship from the US and Ireland.

Taschenbuch. Condition: Neu. Neuware -Given the accelerated adoption of artificial intelligence across industries, there is a driving need to address the critical gap between traditional product management methodologies and contemporary, AI-enhanced practices. This structured, comprehensive guide is specifically designed for aspiring and early-career product managers who wish to leverage AI tools to master product management effectively.Structured into four distinct parts, AI-Powered Product Management introduces foundational PM concepts before diving into practical applications of AI in market research, product strategy, road mapping, requirement gathering, and growth strategies. It uniquely incorporates illustrative case studies, such as the development and iteration of a fictional mobile app, and guides readers through real-world scenarios enhanced by AI-driven insights. The book concludes with focused sections on how readers can leverage AI to effectively prepare for and excel in PM interviews, providing them with a decisive advantage in competitive job markets.What You Will Learn- Seamlessly integrate AI into core product management tasks such as market research, strategy formulation, prioritization, and feature development.- Techniques for utilizing AI-powered tools to significantly improve decision-making efficiency, product innovation, and user experience.- Methods for crafting compelling product requirement documents (PRDs), roadmaps, and user stories with AI assistance. Who This Book Is ForAspiring product managers, junior PMs, professionals transitioning from engineering, marketing or business roles into product management, MBA students, career changers exploring product management, and existing PMs seeking to integrate AI into their workflows for enhanced efficiency and strategic decision-making.…

Condition: New. In English.

Paperback. Condition: New. Use Traefik as a load balancer or a reverse proxy for microservices-based architecture. This book covers Traefik integration for microservices architecture concerns such as service discovery, telemetry, and resiliency.The book focuses on building an in-depth understanding of Traefik. It starts with the fundamentals of Traefik, including different load balancing algorithms available, and failure handling for application resiliency. Examples are included for the failure scenarios. TLS support is explained, including scenarios of TLS termination and TLS forwarding. Traefik supports TLS termination using Let's Encrypt. Traefik deployment in prominent microservices ecosystems is discussed, including Docker and Kubernetes.Traefik is a language-neutral component. This book presents examples of its deployment with Java-based microservices. The examples in the book show Traefik integration with Jaeger/Zipkin, Prometheus, Grafana, and FluentD. Also covered is Traefik for Python-based services and Java-based services deployed in the Kubernetes cluster. By the end of the book, you will confidently know how to deploy and integrate Traefik into prominent microservices ecosystems.What You Will LearnUnderstand Traefik basics and its componentsExplore different load balancing scenarios and TLS terminationConfigure service discovery, circuit breakers, timeouts, and throttlingMonitor Traefik using Prometheus and request tracingWho This Book Is ForDevelopers and project managers who have developed microservices and are deploying them in cloud and on-premise environments with Kubernetes or Docker. The book is not specifically written for any particular programming language. The examples presented use Java or Python.…

Condition: New. 1st ed. edition NO-PA16APR2015-KAP.

Taschenbuch. Condition: Neu. AI-Powered Product Management | Transforming Product Strategy and Execution with Artificial Intelligence | Akshay Mathur | Taschenbuch | xxiv | Englisch | 2026 | Apress | EAN 9798868829369 | Verantwortliche Person für die EU: APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

Paperback. Condition: New. Use Traefik as a load balancer or a reverse proxy for microservices-based architecture. This book covers Traefik integration for microservices architecture concerns such as service discovery, telemetry, and resiliency.The book focuses on building an in-depth understanding of Traefik. It starts with the fundamentals of Traefik, including different load balancing algorithms available, and failure handling for application resiliency. Examples are included for the failure scenarios. TLS support is explained, including scenarios of TLS termination and TLS forwarding. Traefik supports TLS termination using Let's Encrypt. Traefik deployment in prominent microservices ecosystems is discussed, including Docker and Kubernetes.Traefik is a language-neutral component. This book presents examples of its deployment with Java-based microservices. The examples in the book show Traefik integration with Jaeger/Zipkin, Prometheus, Grafana, and FluentD. Also covered is Traefik for Python-based services and Java-based services deployed in the Kubernetes cluster. By the end of the book, you will confidently know how to deploy and integrate Traefik into prominent microservices ecosystems.What You Will LearnUnderstand Traefik basics and its componentsExplore different load balancing scenarios and TLS terminationConfigure service discovery, circuit breakers, timeouts, and throttlingMonitor Traefik using Prometheus and request tracingWho This Book Is ForDevelopers and project managers who have developed microservices and are deploying them in cloud and on-premise environments with Kubernetes or Docker. The book is not specifically written for any particular programming language. The examples presented use Java or Python.…

Taschenbuch. Condition: Neu. Neuware -Given the accelerated adoption of artificial intelligence across industries, there is a driving need to address the critical gap between traditional product management methodologies and contemporary, AI-enhanced practices. This structured, comprehensive guide is specifically designed for aspiring and early-career product managers who wish to leverage AI tools to master product management effectively.Structured into four distinct parts, AI-Powered Product Management introduces foundational PM concepts before diving into practical applications of AI in market research, product strategy, road mapping, requirement gathering, and growth strategies. It uniquely incorporates illustrative case studies, such as the development and iteration of a fictional mobile app, and guides readers through real-world scenarios enhanced by AI-driven insights. The book concludes with focused sections on how readers can leverage AI to effectively prepare for and excel in PM interviews, providing them with a decisive advantage in competitive job markets.What You Will Learn- Seamlessly integrate AI into core product management tasks such as market research, strategy formulation, prioritization, and feature development.- Techniques for utilizing AI-powered tools to significantly improve decision-making efficiency, product innovation, and user experience.- Methods for crafting compelling product requirement documents (PRDs), roadmaps, and user stories with AI assistance. Who This Book Is ForAspiring product managers, junior PMs, professionals transitioning from engineering, marketing or business roles into product management, MBA students, career changers exploring product management, and existing PMs seeking to integrate AI into their workflows for enhanced efficiency and strategic decision-making. 772 pp. Englisch.…

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Given the accelerated adoption of artificial intelligence across industries, there is a driving need to address the critical gap between traditional product management methodologies and contemporary, AI-enhanced practices. This structured, comprehensive guide is specifically designed for aspiring and early-career product managers who wish to leverage AI tools to master product management effectively.Structured into four distinct parts, AI-Powered Product Management introduces foundational PM concepts before diving into practical applications of AI in market research, product strategy, road mapping, requirement gathering, and growth strategies. It uniquely incorporates illustrative case studies, such as the development and iteration of a fictional mobile app, and guides readers through real-world scenarios enhanced by AI-driven insights. The book concludes with focused sections on how readers can leverage AI to effectively prepare for and excel in PM interviews, providing them with a decisive advantage in competitive job markets.What You Will LearnSeamlessly integrate AI into core product management tasks such as market research, strategy formulation, prioritization, and feature development.Techniques for utilizing AI-powered tools to significantly improve decision-making efficiency, product innovation, and user experience.Methods for crafting compelling product requirement documents (PRDs), roadmaps, and user stories with AI assistance.Who This Book Is ForAspiring product managers, junior PMs, professionals transitioning from engineering, marketing or business roles into product management, MBA students, career changers exploring product management, and existing PMs seeking to integrate AI into their workflows for enhanced efficiency and strategic decision-making. 772 pp. Englisch. …

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Given the accelerated adoption of artificial intelligence across industries, there is a driving need to address the critical gap between traditional product management methodologies and contemporary, AI-enhanced practices. This structured, comprehensive guide is specifically designed for aspiring and early-career product managers who wish to leverage AI tools to master product management effectively.Structured into four distinct parts, AI-Powered Product Management introduces foundational PM concepts before diving into practical applications of AI in market research, product strategy, road mapping, requirement gathering, and growth strategies. It uniquely incorporates illustrative case studies, such as the development and iteration of a fictional mobile app, and guides readers through real-world scenarios enhanced by AI-driven insights. The book concludes with focused sections on how readers can leverage AI to effectively prepare for and excel in PM interviews, providing them with a decisive advantage in competitive job markets.What You Will LearnSeamlessly integrate AI into core product management tasks such as market research, strategy formulation, prioritization, and feature development.Techniques for utilizing AI-powered tools to significantly improve decision-making efficiency, product innovation, and user experience.Methods for crafting compelling product requirement documents (PRDs), roadmaps, and user stories with AI assistance.Who This Book Is ForAspiring product managers, junior PMs, professionals transitioning from engineering, marketing or business roles into product management, MBA students, career changers exploring product management, and existing PMs seeking to integrate AI into their workflows for enhanced efficiency and strategic decision-making. 747 pp. Englisch. …

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Use Traefik as a load balancer or a reverse proxy for microservices-based architecture. This book covers Traefik integration for microservices architecture concerns such as service discovery, telemetry, and resiliency.The book focuses on building an in-depth understanding of Traefik. It starts with the fundamentals of Traefik, including different load balancing algorithms available, and failure handling for application resiliency. Examples are included for the failure scenarios. TLS support is explained, including scenarios of TLS termination and TLS forwarding. Traefik supports TLS termination using Let's Encrypt. Traefik deployment in prominent microservices ecosystems is discussed, including Docker and Kubernetes.Traefik is a language-neutral component. This book presents examples of its deployment with Java-based microservices. The examples in the book show Traefik integration with Jaeger/Zipkin, Prometheus, Grafana, and FluentD. Also covered is Traefik for Python-based services and Java-based services deployed in the Kubernetes cluster. By the end of the book, you will confidently know how to deploy and integrate Traefik into prominent microservices ecosystems.What You Will LearnUnderstand Traefik basics and its componentsExplore different load balancing scenarios and TLS terminationConfigure service discovery, circuit breakers, timeouts, and throttlingMonitor Traefik using Prometheus and request tracingWho This Book Is ForDevelopers and project managers who have developed microservices and are deploying them in cloud and on-premise environments with Kubernetes or Docker.The book is not specifically written for any particular programming language. The examples presented use Java or Python. 272 pp. Englisch. …

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

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Beginning-Intermediate user level|The first book to cover TraefikGuides you from fundamental concepts to applications in microservices scenariosCovers cases of microservices deployed on the Kubernetes platform .…

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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Given the accelerated adoption of artificial intelligence across industries, there is a driving need to address the critical gap between traditional product management methodologies and contemporary, AI-enhanced practices. This structured, comprehensive guide is specifically designed for aspiring and early-career product managers who wish to leverage AI tools to master product management effectively.Structured into four distinct parts, AI-Powered Product Management introduces foundational PM concepts before diving into practical applications of AI in market research, product strategy, road mapping, requirement gathering, and growth strategies. It uniquely incorporates illustrative case studies, such as the development and iteration of a fictional mobile app, and guides readers through real-world scenarios enhanced by AI-driven insights. The book concludes with focused sections on how readers can leverage AI to effectively prepare for and excel in PM interviews, providing them with a decisive advantage in competitive job markets.What You Will LearnSeamlessly integrate AI into core product management tasks such as market research, strategy formulation, prioritization, and feature development.Techniques for utilizing AI-powered tools to significantly improve decision-making efficiency, product innovation, and user experience.Methods for crafting compelling product requirement documents (PRDs), roadmaps, and user stories with AI assistance.Who This Book Is ForAspiring product managers, junior PMs, professionals transitioning from engineering, marketing or business roles into product management, MBA students, career changers exploring product management, and existing PMs seeking to integrate AI into their workflows for enhanced efficiency and strategic decision-making. …

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Given the accelerated adoption of artificial intelligence across industries, there is a driving need to address the critical gap between traditional product management methodologies and contemporary, AI-enhanced practices. This structured, comprehensive guide is specifically designed for aspiring and early-career product managers who wish to leverage AI tools to master product management effectively.Structured into four distinct parts, AI-Powered Product Management introduces foundational PM concepts before diving into practical applications of AI in market research, product strategy, road mapping, requirement gathering, and growth strategies. It uniquely incorporates illustrative case studies, such as the development and iteration of a fictional mobile app, and guides readers through real-world scenarios enhanced by AI-driven insights. The book concludes with focused sections on how readers can leverage AI to effectively prepare for and excel in PM interviews, providing them with a decisive advantage in competitive job markets.What You Will Learn- Seamlessly integrate AI into core product management tasks such as market research, strategy formulation, prioritization, and feature development.- Techniques for utilizing AI-powered tools to significantly improve decision-making efficiency, product innovation, and user experience.- Methods for crafting compelling product requirement documents (PRDs), roadmaps, and user stories with AI assistance. Who This Book Is ForAspiring product managers, junior PMs, professionals transitioning from engineering, marketing or business roles into product management, MBA students, career changers exploring product management, and existing PMs seeking to integrate AI into their workflows for enhanced efficiency and strategic decision-making.Springer Nature Customer Service Center GmbH, Europaplatz 3,69115 Heidelberg, Germany, 69115 Heidelberg 772 pp. Englisch. …