Cloud Computing:
The delivery of computing services, including servers, storage, databases, networking, analytics, software, and intelligence, over the internet to offer flexible resources and faster innovation.
Infrastructure as a Service (IaaS):
A cloud computing model that provides virtualized computing resources over the internet. Users have control over the operating system, applications, and other software, while the cloud provider manages the infrastructure.
Platform as a Service (PaaS):
A cloud computing model that offers a platform including infrastructure, development tools, and services needed to build, test, deploy, and manage applications. Users focus on application development without managing the underlying infrastructure.
Software as a Service (SaaS):
A cloud computing model that delivers software applications over the internet on a subscription basis. Users access the software through a web browser without worrying about maintenance or updates.
Public Cloud:
Cloud services are provided over the public internet and available to anyone who wants to purchase them. Infrastructure is shared among multiple customers.
Private Cloud:
Cloud services are used exclusively by a single organization. The infrastructure may be hosted on-premises or by a third-party provider.
Hybrid Cloud:
Combines elements of public and private cloud models. Data and applications can move between public and private clouds as needed.
Cloud Service Provider (CSP):
A company that offers cloud services, typically hosting and managing infrastructure, platforms, or software for customers.
Virtualization:
The process of creating a virtual version of a physical IT resource, such as a server, storage device, or network, to optimize resource utilization.
Elasticity:
The ability of a cloud system to automatically scale resources up or down based on demand.
Scalability:
The capability of a system to handle an increasing amount of work, or its potential to be enlarged to accommodate that growth.
Load Balancing:
The distribution of incoming network traffic across multiple servers to ensure that no single server bears too much demand.
Auto-scaling:
A feature that automatically adjusts the number of computing resources in a cloud environment based on demand.
Containerization:
A lightweight alternative to full machine virtualization, where applications are packaged with their dependencies and can run consistently across different computing environments.
Serverless Computing:
A cloud computing execution model in which the cloud provider automatically manages the infrastructure, and users only pay for the actual compute resources used.
Microservices:
An architectural style that structures an application as a collection of small, independent services that communicate with each other.
Data Lake:
A centralized repository that allows businesses to store all their structured and unstructured data at any scale.
API (Application Programming Interface):
A set of rules that allows one software application to interact with another. In the context of cloud services, APIs enable the integration and interaction of different services.
DevOps:
A set of practices that combines software development (Dev) and IT operations (Ops) to shorten the development lifecycle and deliver high-quality software continuously.
Edge Computing:
A distributed computing paradigm that brings computation and data storage closer to the location where it is needed, improving response times and saving bandwidth.
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WHAT ARE THE VOCABULARY OF CLOUD SERVICES?
Science FictionCloud Computing: The delivery of computing services, including servers, storage, databases, networking, analytics, software, and intelligence, over the internet to offer flexible resources and faster innovation. Infrastructure as a Service (IaaS): A...