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.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
K. Suresh Kumar, PhD, is an Assistant Professor at the Sri Eshwar College of Engineering, Coimbatore, Tamil Nadu, India. He has presented papers in various national and international conferences and journals, written many chapters, and has one copyright and one patent to his credit. His fields of interest include computer networks, data analytics, and natural language processing.
S. Sundaresan, PhD, is an Assistant Professor at the Amrita School of Artificial Intelligence, Amrita Vishwa Vidyapeetham, Coimbatore, Tamil Nadu, India. He has published more than 13 book chapters, 17 articles in various conferences and journals, and has two patents. His areas of research focus on wireless communication and networks.
R. Prithiviraj, PhD, is an Assistant Professor in the Department of Electronics and Communication Engineering at the SRM Institute of Science and Technology, Kattankulathur, Tamilnadu, India. He specializes in radiation-hardened design for high-frequency circuits, including PLLs and clock generators.
T. Ananth Kumar, PhD, is an Associate Professor at the Dept. of Computer Science and Engineering, IFET College of Engineering, Villupuram, Tamil Nadu, India. He has presented papers various at national and international conferences and journals, published seven books and holds six patents. His fields of interest are networks on chips, computer architecture, and ASIC design.
S. Balamurugan, PhD, is the Director of Research at iRCS, an Indian Technological Research and Consulting Firm. He has published 75 books, 300 papers in international journals and conferences and 300 patents. With 20 years of research on various cutting-edge technologies, he provides expert guidance in technology forecasting and decision making for leading companies.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Hardcover. Etat : 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. N° de réf. du vendeur 9781394395880
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Hardback. Etat : 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. N° de réf. du vendeur LU-9781394395880
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Hardcover. Etat : 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. N° de réf. du vendeur 9781394395880
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