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  2. Cloud computing - Wikipedia

    en.wikipedia.org/wiki/Cloud_computing

    Cloud bursting is an application deployment model in which an application runs in a private cloud or data center and "bursts" to a public cloud when the demand for computing capacity increases. A primary advantage of cloud bursting and a hybrid cloud model is that an organization pays for extra compute resources only when they are needed. [ 68 ]

  3. Cloud computing architecture - Wikipedia

    en.wikipedia.org/wiki/Cloud_computing_architecture

    Cloud computing architecture refers to the components and subcomponents required for cloud computing.These components typically consist of a front end platform (fat client, thin client, mobile), back end platforms (servers, storage), a cloud based delivery, and a network (Internet, Intranet, Intercloud).

  4. Service-oriented architecture - Wikipedia

    en.wikipedia.org/wiki/Service-oriented_architecture

    There is no single commonly agreed definition of microservices. The following characteristics and principles can be found in the literature: fine-grained interfaces (to independently deployable services), business-driven development (e.g. domain-driven design), IDEAL cloud application architectures, polyglot programming and persistence,

  5. Software as a service - Wikipedia

    en.wikipedia.org/wiki/Software_as_a_service

    Infrastructure as a service (IaaS) is the most basic form of cloud computing, where infrastructure resources—such as physical computers—are not owned by the user but instead leased from a cloud provider. As a result, infrastructure resources can be increased rapidly, instead of waiting weeks for computers to ship and set up.

  6. Cloud engineering - Wikipedia

    en.wikipedia.org/wiki/Cloud_engineering

    Cloud engineering is a field of engineering that focuses on cloud services, such as "software as a service", "platform as a service", and "infrastructure as a service".It is a multidisciplinary method encompassing contributions from diverse areas such as systems engineering, software engineering, web engineering, performance engineering, information technology engineering, security engineering ...

  7. Distributed computing - Wikipedia

    en.wikipedia.org/wiki/Distributed_computing

    Subsequently, Reactive systems are more flexible, loosely-coupled and scalable. To make your systems reactive, you are advised to implement Reactive Principles. Reactive Principles are a set of principles and patterns which help to make your cloud native application as well as edge native applications more reactive. [44]