Learn Virtualization and Cloud Computing (CompTIA A+) with Interactive Flashcards
Master key concepts in Virtualization and Cloud Computing through our interactive flashcard system. Click on each card to reveal detailed explanations and enhance your understanding.
Virtualization
Virtualization is a technology that enables creating a simulated, or virtual, computer environment rather than using a physical computer or server. It uses software called a hypervisor to partition a single physical server into multiple isolated virtual machines (VMs). Each VM can run its own operating system (OS) independently, which allows for efficient management of resources and more flexibility. Virtualization improves hardware utilization, reduces the need for additional hardware, and helps in disaster recovery, testing, and application portability.
Hypervisors
A hypervisor, also known as a virtual machine monitor (VMM), is the software layer responsible for creating, running, and managing multiple virtual machines (VMs) on a single physical host. There are two types of hypervisors. Type 1 hypervisors, also known as bare-metal hypervisors, run directly on the hardware and have direct access to physical resources. Type 2 hypervisors, also known as hosted hypervisors, run on an existing host operating system. Hypervisors provide resource allocation, VM isolation, workload balancing, and hardware independence, allowing multiple VMs to share physical resources while functioning as separate machines.
Cloud Computing
Cloud computing is the delivery of computing services over the internet, where users can access and utilize resources, applications, and storage on demand. Cloud service providers manage the infrastructure, software, and security, allowing users to focus on their core business objectives. There are three primary cloud service models: Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). Additionally, there are three main cloud deployment models: public cloud, private cloud, and hybrid cloud. Cloud computing provides scalability, flexibility, cost efficiency, and remote access to users.
Containers
Containers are a lightweight virtualization technology that allows for the isolation and packaging of applications along with their dependencies in a single unit. Unlike virtual machines, which encapsulate an entire OS, containers share the OS kernel of the host, minimizing resource overhead. Containers enable rapid deployment, portability, and scalability while ensuring consistent environments across development, testing, and production stages. Common container platforms include Docker and Kubernetes, which can be deployed on-premises or in the cloud.
Virtual Desktop Infrastructure (VDI)
Virtual Desktop Infrastructure (VDI) is a virtualization technology that hosts desktop environments on centralized servers, allowing users to access their virtual desktops from any device with an internet connection. The virtual desktops are generated on the server using a hypervisor and can run multiple OS or application instances. VDI provides many benefits, including centralized management and administration, enhanced security, reduced hardware costs, and improved accessibility. It also allows for easier management of updates, patches, and backups, as well as the ability to rapidly deploy virtual desktops to new users.
Infrastructure as a Service (IaaS)
Infrastructure as a Service (IaaS) is a cloud computing model that offers virtualized computing resources, such as virtual machines, storage, and networking, over the internet. Businesses can rent these resources on a pay-as-you-go basis, rather than investing in physical hardware. This model enables organizations to save on upfront capital costs, reduce the burden of managing equipment, and scale their IT infrastructure up or down as needed. IaaS providers often allow clients to configure and manage the virtual environment, and they may include management tools for automated deployments, monitoring, and maintenance. Examples of IaaS providers include Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform.
Platform as a Service (PaaS)
Platform as a Service (PaaS) is a cloud computing service model that provides a platform for developers to build, run, and manage applications. PaaS offers a set of tools, middleware, and runtime environments, enabling developers to create and deploy applications without worrying about underlying infrastructure, such as servers, storage, and networking. PaaS providers typically handle aspects like operating system maintenance, database scaling, and load balancing, allowing developers to focus on the application code. This improves developer productivity, shortens the application development lifecycle, and reduces IT support costs. Examples of PaaS providers include Heroku, Google App Engine, and Microsoft Azure App Service.
Software as a Service (SaaS)
Software as a Service (SaaS) is a licensing and delivery model for software applications, where users access the application over the internet instead of installing it on their local devices. SaaS providers offer a wide range of applications, including office productivity tools, customer relationship management (CRM) systems, and enterprise resource planning (ERP) platforms. By using SaaS, organizations can save on software maintenance, updates, and licensing fees. The provider handles all aspects of the software, from deployment to updates and security, while users can access the service from any device with an internet connection. Examples of popular SaaS providers include Salesforce, Microsoft Office 365, and Google Workspace (formerly G Suite).
Serverless Computing
Serverless computing is a cloud-based execution model that dynamically allocates resources as needed, allowing developers to build and run applications without managing servers. Serverless does not mean that there are no servers involved, but rather that the responsibility of managing servers is abstracted away from the developer. The cloud provider automatically manages the infrastructure, scaling, and patching, while the developer focuses on writing application logic. Users are charged based on actual usage, instead of pre-allocated resources. Applications built with serverless computing are typically event-driven, responding to triggers like user requests, file uploads, or database operations. Examples of serverless computing platforms include AWS Lambda, Microsoft Azure Functions, and Google Cloud Functions.
Private, Public and Hybrid Cloud
Private, public, and hybrid clouds are three different deployment models for cloud computing infrastructure. In a private cloud, an organization uses its own data center or dedicated infrastructure, accessible only by its members. This model offers increased control, security, and customization but may involve higher costs for maintenance and scalability. A public cloud is a shared infrastructure provided by a third party, offering resources on-demand at a lower cost and with greater scalability. However, security and customization might be limited compared to a private cloud. Hybrid cloud is a mix between private and public clouds, allowing organizations to leverage the benefits of both models by moving workloads between the two environments based on factors like cost, availability, and data protection requirements. Hybrid cloud offers improved agility, flexibility, and security while maintaining control of sensitive data.
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