Название: CompTIA Cloud+ Guide to Cloud Computing, 2nd EditionАвтор: Jill West
Издательство: Cengage Learning
Год: 2023
Страниц: 530
Язык: английский
Формат: pdf (true)
Размер: 17.6 MB
West's CompTIA Cloud+ Guide to Cloud Computing, 2nd Edition, prepares you for certification exam and career success. Fully updated content maps to objectives of the CompTIA Cloud+ (CVO-003) exam, which now has less emphasis on physical host configuration and more emphasis on cloud infrastructure, management and security. Each module in the second edition is packed with enriching features such as self-check questions, group activities and capstone projects that enable you to sharpen your new skills and knowledge through real design and deployment scenarios. You also can work with three popular cloud platforms: AWS (Amazon Web Services), Microsoft Azure and GCP (Google Cloud Platform). Live virtual machine labs, auto-graded quizzes, videos and hands-on projects in the MindTap digital learning platform provide additional preparation to maximize your success on the exam and well beyond.
The following list summarizes the topics covered in each module of this course:
Module 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 module then compares cloud deployment models (such as public cloud and hybrid cloud), cloud service models (such as PaaS and IaaS), and security concerns specific to each of these models. Finally, the module introduces popular cloud platforms, such as AWS (Amazon Web Services), Microsoft Azure, and GCP (Google Cloud Platform), and reviews sound troubleshooting methodology.
Module 2, “Virtual Hardware,” begins with a description of virtualization technologies, including a thorough comparison of type 1 and type 2 hypervisors. The module then takes a deep dive into VM (virtual machine) configuration parameters, especially virtualized processing and virtual memory. It then applies these concepts specifically to the context of cloud computing, followed by a survey of VM allocation factors. The module concludes with coverage of VM alternative technologies such as serverless computing and containers.
Module 3, “Migration to the Cloud,” focuses on how to get existing resources into the cloud. The module explores factors to be considered before, during, and after migration, including a comparison of migration strategies (such as lift-and-shift and lift-tinker-and-shift), and the timing of migration tasks that might affect user experience. Related migration topics include documentation, change management processes, and data transfer technologies. The module proceeds to discuss types of testing used to help the migration go smoothly. It also covers business processes that serve application development, such as project management and the application life cycle. The module concludes with a synopsis of common problems encountered during migration as well as planning for business continuity and disaster recovery.
Module 4, “Cloud Networking,” initiates the discussion of cloud-based networking concepts with a comparison of the OSI Model and the cloud stack. The module includes a review of IP addressing and subnetting concepts followed by an exploration of networking services in AWS, Azure, and GCP. These sections include a thorough discussion of concepts such as regions, availability zones, VPCs (virtual private clouds), VNets (virtual networks), subnetting in the cloud, and the use of gateways and route tables to manage cloud traffic.
Module 5, “Cloud Connectivity and Troubleshooting,” continues the cloud networking discussion with an exploration of technologies that connect the on-prem network with cloud-based resources. Network segmentation on-prem is contrasted with network segmentation in the cloud. The module explores technologies available to extend networking services across a hybrid or multi-cloud, such as DHCP, DNS, routing, and load balancing. It concludes with an overview of available CLI (command-line interface) commands used to troubleshoot cloud connectivity as well as situations where these tools might be useful.
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Module 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) technologies provides adaptable and efficient modifications performed by tools covered in this module. The module then explores maintenance, security, and disaster recovery techniques that can be automated, including in-depth coverage of CLI and patch management tools available in AWS, Azure, and GCP. The module finishes with coverage of common obstacles to establishing successful automation workflows.
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