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Platform Engineering: Concepts, Challenges and Applications
Stay at the leading edge of modern infrastructure with this definitive guide to integrating AI, blockchain, and cloud-native methodologies into robust and secure software platforms.
As enterprises across industries adopt cloud-native technologies, DevOps practices, AI-driven tools, and secure infrastructure models, platform engineering has become essential to streamlining development workflows, enhancing developer experience, and improving operational efficiency. This book is a comprehensive and timely exploration of the emerging discipline that is redefining how modern software systems are designed, developed, deployed, and scaled.
This edited volume brings together contributions from leading researchers and practitioners to offer a rich blend of theoretical foundations, design strategies, implementation methodologies, and real-world use cases. Covering a wide array of topics―from developer productivity, scalable platform design, and DevOps transformation to advanced technologies like deep learning, reinforcement learning, blockchain, and IoT―the book addresses both the opportunities and challenges involved in building robust, reusable, and secure software platforms. By presenting a structured and insightful view into this rapidly growing field, the book not only serves as a reference guide but also as a source of inspiration for innovation in platform design and deployment across diverse sectors.
Audience
Software engineers, DevOps specialists, platform engineers, cloud architects, security experts, technology leaders, and data scientists mastering modern software delivery, leveraging artificial intelligence and machine learning for building scalable and secure systems.
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Platform Engineering: Concepts, Challenges and Applications (eng)
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Platform Engineering (Hardcover)
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Hardcover. Condizione: new. Hardcover. Platform Engineering: Concepts, Challenges and Applications Stay at the leading edge of modern infrastructure with this definitive guide to integrating AI, blockchain, and cloud-native methodologies into robust and secure software platforms. As enterprises across industries adopt cloud-native technologies, DevOps practices, AI-driven tools, and secure infrastructure models, platform engineering has become essential to streamlining development workflows, enhancing developer experience, and improving operational efficiency. This book is a comprehensive and timely exploration of the emerging discipline that is redefining how modern software systems are designed, developed, deployed, and scaled. This edited volume brings together contributions from leading researchers and practitioners to offer a rich blend of theoretical foundations, design strategies, implementation methodologies, and real-world use cases. Covering a wide array of topicsfrom developer productivity, scalable platform design, and DevOps transformation to advanced technologies like deep learning, reinforcement learning, blockchain, and IoTthe book addresses both the opportunities and challenges involved in building robust, reusable, and secure software platforms. By presenting a structured and insightful view into this rapidly growing field, the book not only serves as a reference guide but also as a source of inspiration for innovation in platform design and deployment across diverse sectors. AudienceSoftware engineers, DevOps specialists, platform engineers, cloud architects, security experts, technology leaders, and data scientists mastering modern software delivery, leveraging artificial intelligence and machine learning for building scalable and secure systems. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9781394395880
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PLATFORM ENGINEERING CONCEPTS CHALLEN
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Platform Engineering: Concepts, Challenges and Applications
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Platform Engineering: Concepts, Challenges and Applications
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Platform Engineering
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John Wiley and Sons Inc, US, 2026
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ISBN 13: 9781394395880
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Hardback. Condizione: New. Platform Engineering: Concepts, Challenges and Applications Stay at the leading edge of modern infrastructure with this definitive guide to integrating AI, blockchain, and cloud-native methodologies into robust and secure software platforms. As enterprises across industries adopt cloud-native technologies, DevOps practices, AI-driven tools, and secure infrastructure models, platform engineering has become essential to streamlining development workflows, enhancing developer experience, and improving operational efficiency. This book is a comprehensive and timely exploration of the emerging discipline that is redefining how modern software systems are designed, developed, deployed, and scaled. This edited volume brings together contributions from leading researchers and practitioners to offer a rich blend of theoretical foundations, design strategies, implementation methodologies, and real-world use cases. Covering a wide array of topics-from developer productivity, scalable platform design, and DevOps transformation to advanced technologies like deep learning, reinforcement learning, blockchain, and IoT-the book addresses both the opportunities and challenges involved in building robust, reusable, and secure software platforms. By presenting a structured and insightful view into this rapidly growing field, the book not only serves as a reference guide but also as a source of inspiration for innovation in platform design and deployment across diverse sectors. AudienceSoftware engineers, DevOps specialists, platform engineers, cloud architects, security experts, technology leaders, and data scientists mastering modern software delivery, leveraging artificial intelligence and machine learning for building scalable and secure systems. Codice articolo LU-9781394395880
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Platform Engineering: Concepts, Challenges and App lications
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Platform Engineering: Concepts, Challenges, and Ap plications
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Platform Engineering (Hardcover)
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Hardcover. Condizione: new. Hardcover. Platform Engineering: Concepts, Challenges and Applications Stay at the leading edge of modern infrastructure with this definitive guide to integrating AI, blockchain, and cloud-native methodologies into robust and secure software platforms. As enterprises across industries adopt cloud-native technologies, DevOps practices, AI-driven tools, and secure infrastructure models, platform engineering has become essential to streamlining development workflows, enhancing developer experience, and improving operational efficiency. This book is a comprehensive and timely exploration of the emerging discipline that is redefining how modern software systems are designed, developed, deployed, and scaled. This edited volume brings together contributions from leading researchers and practitioners to offer a rich blend of theoretical foundations, design strategies, implementation methodologies, and real-world use cases. Covering a wide array of topicsfrom developer productivity, scalable platform design, and DevOps transformation to advanced technologies like deep learning, reinforcement learning, blockchain, and IoTthe book addresses both the opportunities and challenges involved in building robust, reusable, and secure software platforms. By presenting a structured and insightful view into this rapidly growing field, the book not only serves as a reference guide but also as a source of inspiration for innovation in platform design and deployment across diverse sectors. AudienceSoftware engineers, DevOps specialists, platform engineers, cloud architects, security experts, technology leaders, and data scientists mastering modern software delivery, leveraging artificial intelligence and machine learning for building scalable and secure systems. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Codice articolo 9781394395880
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