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This is the equivalent to infrastructure and hardware in the traditional (non-cloud computing) method running in the cloud. In other words, businesses pay a fee (monthly or annually) to run virtual servers, networks, storage from the cloud. This will mitigate the need for a data center, heating, cooling, and maintaining hardware at the local level.
The NIST's definition of cloud computing defines Software as a Service as: [2] The capability provided to the consumer is to use the provider's applications running on a cloud infrastructure. The applications are accessible from various client devices through either a thin client interface, such as a web browser (e.g., web-based email), or a ...
According to The NIST Definition of Cloud Computing, [3] there are three service models associated with cloud computing: infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS). The concept of ITaaS as an operating model is not limited to or dependent on cloud computing.
Services can be scaled on-demand by the user. According to the Internet Engineering Task Force (IETF), such infrastructure is the most basic cloud-service model. IaaS can be hosted in a public cloud (where users share hardware, storage, and network devices), a private cloud (users do not share resources), or a hybrid cloud (combination of both).
Serverless computing is "a cloud service category in which the customer can use different cloud capability types without the customer having to provision, deploy and manage either hardware or software resources, other than providing customer application code or providing customer data. Serverless computing represents a form of virtualized ...
Microsoft Azure uses large-scale virtualization at Microsoft data centers worldwide and offers more than 600 services. [11] Microsoft Azure offers a service level agreement (SLA) that guarantees 99.9% availability for applications and data hosted on its platform, subject to specific terms and conditions outlined in the SLA documentation.
Because control of these functions is based on the cloud provider’s infrastructure and services, public cloud users must integrate with the cloud infrastructure management. [ 12 ] Capacity management is a challenge for both public and private cloud environments because end users have the ability to deploy applications using self-service portals.
In recent times, containerization technology has been widely adopted by cloud computing platforms like Amazon Web Services, Microsoft Azure, Google Cloud Platform, and IBM Cloud. [7] Containerization has also been pursued by the U.S. Department of Defense as a way of more rapidly developing and fielding software updates, with first application ...