Cloud computing is transforming the way businesses and individuals operate, offering scalability, flexibility, and efficiency. Cloud Computing for Everyone provides a structured and practical approach to understanding cloud technology, from foundational concepts to advanced applications. The book also covers service models, deployment strategies, security, and cost management.
This book explores cloud computing, starting with fundamental concepts, history, characteristics, service and deployment models. It covers cloud security and privacy, including threats, mechanisms, and best practices. The book then examines cloud migration strategies and cost management, including TCO and ROI. It explains cloud architecture, design principles, application development, and advanced technologies such as edge computing, AI/ML services, and multi-cloud strategies. Cloud-based data management and analytics are addressed, along with cloud storage solutions and analytics platforms. Sustainability in cloud computing is also covered, focusing on green practices and environmental considerations. The book concludes with hands-on projects using Azure, providing practical experience in creating virtual machines, networking, deploying web applications, and performing other cloud-related tasks.
By the end, readers will understand the core concepts, be able to make informed decisions about cloud adoption, and possess the practical skills to confidently navigate and implement cloud computing solutions in various domains.
KEY FEATURES
* A comprehensive guide covering cloud basics to advanced concepts.
* Hands-on cloud projects with step-by-step implementation.
* Insights on cloud security, cost management, and sustainability.
WHAT YOU WILL LEARN
* Understand cloud computing concepts, service models, and deployment strategies.
* Implement cloud security, privacy measures, and compliance best practices.
* Plan and execute cloud migration with real-world case studies.
* Optimize cloud costs and manage resources effectively.
* Design cloud-native applications using modern architectures and frameworks.
WHO THIS BOOK IS FOR
This book is for students, IT professionals, business leaders, and technology enthusiasts who want to understand and implement cloud computing effectively. It serves as a comprehensive guide, covering fundamental concepts, advanced technologies, and hands-on projects, making it suitable for beginners and experienced professionals looking to enhance their cloud expertise.
Rohit Agarwal is a PhD student in the Department of Computer Science at UiT, The Arctic University of Norway. He is also a teaching assistant on the cloud and big data technology course at UiT. Prior to the PhD, Rohit worked at Adobe Inc. from 2020 to 2021 as a cloud engineer. He received the gold medal in his Integrated Master’s degree in Mathematics and Computing from the Indian Institute of Technology (Indian School of Mines), Dhanbad, India, in the year 2020 for his excellent academic performance. His research fields include scalable artificial intelligence models, online learning, haphazard inputs, time series analysis and large language models.
Dilip K. Prasad is a Professor in the Department of Computer Science at UiT The Arctic University of Norway and a founding member of the Bio-AI Research Group. He holds a Ph.D. from Nanyang Technological University, Singapore, and a B.Tech. in Computer Science and Engineering from the Indian Institute of Technology (ISM) Dhanbad, India. With five years of industry experience at IBM, Infosys, Mediatek, and Philips, he brings a unique blend of academic and practical expertise.
Dilip was awarded Distinguished Alumnus Award from IIT(ISM), Dhanbad in 2025, Femina Achiever’s Award in 2025, the Distinguished Researcher Award in AI & Robotics by the Asian African Economic Forum in 2024, and the Rolls-Royce Inventor Award in 2016. A Kauffman Global Scholarship Fellow (2011), he has secured multiple research grants from the European Union, the Research Council of Norway, and UiT. His research focuses on artificial intelligence, with a strong emphasis on fostering diversity, equity, and inclusion in AI systems. He is Microsoft Azure and CCSK certified. He is deeply passionate about leveraging cloud computing to create scalable, accessible, and efficient solutions, bridging the gap between technology and its users while addressing challenges of equity, inclusivity, and ethical practices in the digital age.
