Cloud Computing Concepts, Technology, and Architecture

Clouds are distributed technology platforms that leverage sophisticated technology innovations to provide highly scalable and resilient environments that can be remotely utilized by organizations in a multitude of powerful ways. To successfully build upon, integrate with, or even create a cloud environment requires an understanding of its common inner mechanics, architectural layers, and models, as well as an understanding of the business and economic factors that result from the adoption and real-world use of cloud-based services.

In Cloud Computing: Concepts, Technology & Architecture, Thomas Erl, one of the world's top-selling IT authors, teams up with cloud computing experts and researchers to break down proven and mature cloud computing technologies and practices into a series of well-defined concepts, models, technology mechanisms, and technology architectures, all from an industry-centric and vendor-neutral point of view. In doing so, the book establishes concrete, academic coverage with a focus on structure, clarity, and well-defined building blocks for mainstream cloud computing platforms and solutions.

Thomas Erl is a best-selling IT author who has authored and co-authored 15 books published by Prentice Hall and Pearson Education and dedicated to topics focused on contemporary information technology and practices. These titles were delivered for the Pearson Digital Enterprise Series from Thomas Erl, for which Thomas also acts as series editor. Thomas is the host of the "Real Digital Transformation" podcast series (available via Spotify, Apple, Google Podcasts, and most other platforms) and also contributes regular articles via his weekly LinkedIn newsletter, "The Digital Enterprise." Over 100 articles and interviews by Thomas have been published in numerous publications, including CEO World, the Wall Street Journal, Forbes and CIO Magazine. Thomas has also toured over 20 countries as a keynote speaker for various conferences and events. As founder and president of Arcitura Education (www.arcitura.com), Thomas also leads the development of curricula for internationally recognized, vendor-neutral training and accreditation programs. Arcitura's portfolio currently consists of over 100 courses, over 90 Pearson VUE exams and over 40 certification tracks, covering topics such as Digital Transformation, Robotic Process Automation (RPA), DevOps, Blockchain, IoT, Containerization, Machine Learning, Artificial Intelligence (AI), Cybersecurity, Service-Oriented Architecture (SOA), Cloud Computing, and Big Data Analytics.

Eric Barcelo is a top IT technology professional and IT author focused on cloud computing topics. Eric has designed, deployed, and managed companies' main computer and telecommunications networks, data centers, managed services, and cloud computing contracts. Eric has planned, engineered, and supported infrastructure technologies in Internet ecommerce environments, and further oversaw application security, network security, configuration and asset inventory management data, SLAs for Cloud infrastructure, platform, and storage services. Eric developed, implemented, and supported numerous ERP, Call Center, and Web-based enterprise applications, and also created emergency mirror site, preparedness programs and disaster recovery plans with Cloud Computing services included. He has further designed web hosting architectures; researched and selected hardware, hosting, and cloud providers; managed in-house telecommunications initiatives; and coordinated negotiations, service levels, and implementation schedules with vendors and resellers.

CHAPTER 1: Introduction

CHAPTER 2: Case Study Background

PART I: ESSENTIAL CLOUD COMPUTING

CHAPTER 3: Understanding Cloud Computing

CHAPTER 4: Fundamental Concepts and Models

CHAPTER 5: An Overview of Cloud-Enabling Technology

CHAPTER 6: Containerization

CHAPTER 7: Cloud Security and Cybersecurity

PART II: CLOUD COMPUTING MECHANISMS

CHAPTER 8: Cloud Infrastructure Mechanisms

CHAPTER 9: Monitoring and Scaling Mechanisms

CHAPTER 10: Virtualization and Containerization Mechanisms

CHAPTER 11: Cloud Management Mechanisms

CHAPTER 12: Cloud Security and Cybersecurity Mechanisms

CHAPTER 13: Cloud Security Monitoring Mechanisms

PART III: CLOUD COMPUTING ARCHITECTURE

CHAPTER 14: Fundamental Cloud Architectures

CHAPTER 15: Advanced Cloud Architectures

CHAPTER 16: Specialized Cloud Architectures

PART IV: WORKING WITH CLOUDS

CHAPTER 17: Cloud Service APIs

CHAPTER 18: Cloud Delivery Model Considerations

CHAPTER 19: Cost Metrics and Pricing Models

CHAPTER 20: Service Quality Metrics and SLAs

PART V: APPENDICES

Appendix A: Case Study Conclusions

Appendix B: Industry Standards Organizations

Appendix C: Mapping Mechanisms to Characteristics

Appendix D: Data Center Facilities (TIA-942)

Appendix E: Emerging Technologies

Appendix F: Cloud Provisioning Contracts

Appendix G: Cloud Business Case Template

Index

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