DatoCMS Demo Project Leveraging React & GraphQL Request Library

Deployment Initialization

You can instantly provision a working instance of this project on DatoCMS, complete with the necessary schema and sample data, by clicking the deployment button below.

Quick Start Procedure

To permit the React application to fetch remote content, generate a local .env configuration file containing your project's read-only API access token:

echo 'REACT_APP_DATO_API_TOKEN=abc123' >> .env

Subsequently, execute the following commands in sequence:

npm i && npm start

Further Documentation

This initial scaffolding was generated using the Create React App utility.

Reference materials for the GraphQL Request utility can be accessed via this link

WIKIPEDIA: Cloud computing, often shortened to "the cloud," is defined by ISO as "a paradigm for enabling network access to a scalable and elastic pool of shareable physical or virtual resources with self-service provisioning and administration on-demand."

== Core Attributes == In 2011, the National Institute of Standards and Technology (NIST) codified five fundamental attributes necessary for a system to qualify as a cloud service. The precise NIST definitions are:

On-demand self-service: "A consumer can unilaterally provision computing capabilities, such as server time and network storage, as needed automatically without requiring human interaction with each service provider." Broad network access: "Capabilities are available over the network and accessed through standard mechanisms that promote use by heterogeneous thin or thick client platforms (e.g., mobile phones, tablets, laptops, and workstations)." Resource pooling: " The provider's computing resources are pooled to serve multiple consumers using a multi-tenant model, with different physical and virtual resources dynamically assigned and reassigned according to consumer demand." Rapid elasticity: "Capabilities can be elastically provisioned and released, in some cases automatically, to scale rapidly outward and inward commensurate with demand. To the consumer, the capabilities available for provisioning often appear unlimited and can be appropriated in any quantity at any time." Measured service: "Cloud systems automatically control and optimize resource use by leveraging a metering capability at some level of abstraction appropriate to the type of service (e.g., storage, processing, bandwidth, and active user accounts). Resource usage can be monitored, controlled, and reported, providing transparency for both the provider and consumer of the utilized service. By 2023, the International Organization for Standardization (ISO) had expanded and refined the list.

== Historical Context ==

The lineage of cloud computing traces back to the 1960s, a period marked by the growing popularity of time-sharing concepts introduced through remote job entry (RJE). During this epoch, the dominant operational model was the "data center," where end-users submitted computational tasks to system operators for execution on mainframe hardware. This era was characterized by intensive investigation and trial-and-error focused on democratizing access to significant computational power via time-sharing, aiming to optimize the underlying infrastructure, platform layers, and applications, thereby boosting overall user productivity. The idiomatic use of "the cloud" to denote virtualized services originated in 1994, employed by General Magic to conceptualize the cosmos of "locations" accessible to mobile agents within their Telescript framework. This metaphor is attributed to David Hoffman, a communications specialist at General Magic, who based it on its established tradition within telecommunications and networking. The term "cloud computing" achieved broader recognition in 1996 when Compaq Computer Corporation drafted a strategic business blueprint for future Internet and computing operations. The firm's primary objective was to superch