Naresh Kumar Sehgal

Cloud Computing has been in use for several decades now, but the art and science of delivering Cloud based products is still shrouded in mystery. This book shines new light on how to deliver projects on time and within budget. The authors discuss the theory and practices of software engineering as applied to successful project execution for Cloud and IoT based products. The readers will find the following topics well covered. 1. Management of projects in general, and Clouds in particular, including budgeting. 2. Best practices in Software engineering, with emphasis on using Agile methodology. 3. IoT products, their deployment, including Cloud based support and management. 4. Regulatory compliance. 5. New value creation and future opportunities.

This book provides an introduction to machine learning, security and cloud computing, from a conceptual level, along with their usage with underlying infrastructure. The authors emphasize fundamentals and best practices for using AI and ML in a dynamic infrastructure with cloud computing and high security, preparing readers to select and make use of appropriate techniques. Important topics are demonstrated using real applications and case studies.

Cloud Computing has been in use for several decades now, but the art and science of delivering Cloud based products is still shrouded in mystery. This book shines new light on how to deliver projects on time and within budget. The authors discuss the theory and practices of software engineering as applied to successful project execution, with real, Cloud-based products.

This book provides readers with an overview of the next generation of Cloud computing with AI, evolving to minimize latency and address privacy/security concerns of many customers. This book will highlight the associated problems and propose new solutions for performing AI and ML at the edge of computing networks.

This book provides an introduction to machine learning, security and cloud computing, from a conceptual level, along with their usage with underlying infrastructure. The authors emphasize fundamentals and best practices for using AI and ML in a dynamic infrastructure with cloud computing and high security, preparing readers to select and make use of appropriate techniques. Important topics are demonstrated using real applications and case studies.

Cloud Computing has been in use for several decades now, but the art and science of delivering Cloud based products is still shrouded in mystery. This book shines new light on how to deliver projects on time and within budget. The authors discuss the theory and practices of software engineering as applied to successful project execution, with real, Cloud-based products.

This book provides readers with an overview of Cloud Computing, starting with historical background on mainframe computers and early networking protocols, leading to current concerns such as hardware and systems security, performance, emerging areas of IoT, Edge Computing, and healthcare etc. Readers will benefit from the in-depth discussion of cloud computing usage and the underlying architectures. The authors explain carefully the “why’s and how’s” of Cloud Computing, so engineers will find this book an invaluable source of information to the topic. This third edition includes new material on Cloud Computing Scalability, as well as best practices for using dynamic cloud infrastructure, and cloud operations management with cost optimizations. Several new examples and analysis of cloud security have been added, including ARM architecture and https protocol.Provides practical guidance for software developers engaged in migrating in-house applications to Public Cloud;Describes for IT managers how to improve their Cloud Computing infrastructures;Includes coverage of security concerns with Cloud operating models;Uses several case studies to illustrate the “why’s and how’s” of using the Cloud;Examples and options to improve Cloud Computing Scalability.

This book provides readers with an overview of Cloud Computing, starting with historical background on mainframe computers and early networking protocols, leading to current concerns such as hardware and systems security, performance, emerging areas of IoT, Edge Computing, and healthcare etc. Readers will benefit from the in-depth discussion of cloud computing usage and the underlying architectures. The authors explain carefully the “why’s and how’s” of Cloud Computing, so engineers will find this book an invaluable source of information to the topic. This third edition includes new material on Cloud Computing Scalability, as well as best practices for using dynamic cloud infrastructure, and cloud operations management with cost optimizations. Several new examples and analysis of cloud security have been added, including ARM architecture and https protocol.Provides practical guidance for software developers engaged in migrating in-house applications to Public Cloud;Describes for IT managers how to improve their Cloud Computing infrastructures;Includes coverage of security concerns with Cloud operating models;Uses several case studies to illustrate the “why’s and how’s” of using the Cloud;Examples and options to improve Cloud Computing Scalability.

This book provides readers with an overview of Cloud Computing, starting with historical background on mainframe computers and early networking protocols, leading to current concerns such as hardware and systems security, performance, emerging areas of IoT, Edge Computing etc. Readers will benefit from the in-depth discussion of cloud computing usage and the underlying architectures. The authors explain carefully the “why’s and how’s” of Cloud Computing, so engineers will find this book an invaluable source of information to the topic. This second edition includes new material on Cloud Computing Security, Threat Vectors and Trust Models, as well as best practices for a using dynamic cloud infrastructure, and cloud operations management. Several new examples and analysis of cloud security have been added, including edge computing with IoT devices.

This book provides readers with an overview of Cloud Computing, starting with historical background on mainframe computers and early networking protocols, leading to current concerns such as hardware and systems security, performance, emerging areas of IoT, Edge Computing etc. Readers will benefit from the in-depth discussion of cloud computing usage and the underlying architecture, with focus on best practices for using a dynamic cloud infrastructure, cloud operations management and cloud security. The authors explain carefully the “why’s and how’s” of Cloud Computing, so engineers will find this book and invaluable introduction to the topic.