Название: CompTIA Cloud+ Guide to Cloud Computing, 3rd Edition
Автор: Jill West
Издательство: Cengage Learning
Год: 2027
Страниц: 562
Язык: английский
Формат: pdf (true)
Размер: 28.8 MB

Cloud technologies are built on abstraction, but teaching them doesn’t have to be. "CompTIA Cloud+ Guide to Cloud Computing," 3rd Edition, bridges the gap between theory and practice, helping students grasp real-world skills needed to thrive in virtualized cloud environments. Aligned with the latest CompTIA Cloud+ (CV0-004) certification objectives, the text equips learners to work confidently across AWS, Microsoft Azure and Google Cloud Platform. Chapters are designed with engaging features, self-check questions, collaborative activities and challenge projects that simulate real deployment scenarios. MindTap enhances learning with live virtual machine labs, auto-graded quizzes, instructional videos and hands-on projects. Whether your students are preparing for certification or building a foundation for a cloud career, the text offers clarity, structure and support to help them succeed.

Chapter 1, “Introduction to Cloud Computing,” gives an initial overview of foundational cloud computing concepts, beginning with a survey of cloud certifications, a review of characteristics that define cloud computing, and a description of how an IT professional must adapt existing skills to succeed in a career focused on cloud technologies. The chapter then compares cloud deployment models (such as public cloud and hybrid cloud), cloud service models (such as SaaS and IaaS), and popular cloud services, including AI (artificial intelligence), ML (machine learning), and IoT (Internet of Things) service types. Finally, the chapter introduces popular cloud platforms, such as AWS (Amazon Web Services), Microsoft Azure, and GCP (Google Cloud Platform), and reviews sound troubleshooting methodology.

Chapter 2, “Cloud Compute,” begins with a description of virtualization technologies, including a deep dive into VM (virtual machine) configuration parameters, especially virtualized processing and virtual memory. The chapter then applies these concepts specifically to the context of cloud computing, followed by a survey of VM allocation factors. The chapter concludes with coverage of serverless computing and containers, both popular VM-alternative technologies. The expanded content on containers discusses container configuration, support, networking, and troubleshooting.
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Chapter 10, “Cloud Automation,” rounds out the foundations of cloud computing with further exploration into the possibilities and sheer necessity of using automation techniques in the cloud. Due to the fast-paced changes constantly occurring in cloud configurations and customer demand, automation through IaC (infrastructure as code) and CaC (configuration as code) technologies provide adaptable and efficient modifications to cloud infrastructure. The chapter then explores the role of CI/CD (continuous integration/continuous delivery) pipelines in the automation of infrastructure provisioning and maintenance. New content teaches scripting logic, such as variables, functions, and conditional statements. The chapter finishes with coverage of CLI (command line interface) and patch services in AWS, Azure, and GCP followed by a brief discussion of common obstacles to establishing successful automation workflows.