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Tanvir Habib Sardar, Shiladitya Das Sharma, Bishwajeet Kumar Pandey - AWS Multi-Account Governance and Enterprise Architecture, Inbunden

Inbunden, Engelska, 2027

AWS Multi-Account Governance and Enterprise Architecture

A Guide for Networking, Security, and FinOps

Av Tanvir Habib Sardar, Shiladitya Das Sharma, Bishwajeet Kumar Pandey

1326 kr

Kommande

Beskrivning
The text comprehensively covers both networking and account strategy in depth, explaining multi-account governance and billing best practices. It provides structured learning from fundamentals to enterprise scale and includes real-world case studies (Netflix, Capital One, Airbnb) that connect concepts to recognisable services. • Progresses from fundamental networking concepts to advanced multi-account and hybrid cloud designs, making it ideal for both students and professionals.Uses examples from Netflix, Capital One, and Airbnb to show how cloud strategies work in streaming, finance, and travel industries.Discusses VPC design, IAM, AWS Organizations, and billing governance together, offering a complete view of AWS architecture.Equips readers to design solutions that are secure, compliant, and cost-optimised— key for real-world AWS deployments.Covers compliance and governance standards like SOC2 and ISO 27001, which are increasingly important for enterprise cloud deployments.The text is primarily written for graduate students and academic researchers in electrical engineering, electronics and communication engineering, computer science and engineering, information technology, artificial intelligence, and machine learning.
Produktinformation
  • Utgivningsdatum: 2027-03-24
  • Mått: 156 x 234 x undefined mm
  • Format: Inbunden
  • Språk: Engelska
  • Antal sidor: 440
  • Förlag: Taylor & Francis Ltd
  • ISBN: 9781041346203
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Mer om författaren

Tanvir Habib Sardar is an accomplished academician and researcher specialising in Big Data Analytics, Distributed Computing, and Machine Learning, with a strong interdisciplinary orientation toward healthcare, security, and intelligent systems. He holds a PhD in Computer Science and Engineering from Visvesvaraya Technological University, India. He brings over 15 years of academic and research experience to the forefront of data-driven innovation. Currently serving as an Associate Professor at Dayananda Sagar University, Bengaluru, India. He is recognized for his contributions to scalable data processing frameworks, particularly those leveraging the Hadoop–MapReduce paradigm and fuzzy clustering for high-dimensional document and biomedical datasets. He has published more than forty research articles in SCIE and Scopus-indexed journals, including high-impact journals. His research extends to applied domains such as medical imaging, disease classification, AI-powered diagnostic frameworks, and secure cyber-infrastructure. Shiladitya Sharma is a Cloud Infrastructure Architect at Amazon Web Services (AWS) with over 16 years of experience in enterprise cloud transformation, networking, and infrastructure modernisation. He has led large-scale cloud migration and disaster recovery projects for Fortune 500 clients across finance, manufacturing, and healthcare domains, with a core focus on secure, scalable, and cost-optimised AWS architecture. He is a Senior Member of the IEEE (SIEEE), serves on multiple Technical Program Committees (TPC) for IEEE-sponsored international conferences. His professional expertise spans AWS Control Tower, Transit Gateway, multi-account governance, VPC design, and enterprise-grade network architecture.Bishwajeet Kumar Pandey is a Professor at GL Bajaj College of Technology and Management, Greater Noida, India. He has been a Senior Member of IEEE since 2019. He has published more than three hundred research papers in journals and conferences of national and international reputation. He has garnered over 3,800 citations and holds an H-index of 30. He has experience in teaching courses, including innovation and startup, computer network, digital logic, logic synthesis, and System Verilog. His area of research interest is green computing, high-performance computing, cyber-physical systems, artificial intelligence, machine learning, and cybersecurity.

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