Hybrid Cloud Computing Model

Hybrid Cloud Computing Model

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Which cloud computing model includes on-premises and cloud-based resources?

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A hybrid cloud " sometimes called a cloud hybrid " is a computing environment that combines an on-premises datacenter (also called a private cloud) with a public cloud, allowing data and applications to be shared between them. Some people define hybrid cloud to include multicloud configurations where an organization uses more than one public cloud in addition to their on-premises datacenter.

https://azure.microsoft.com/en-us/overview/what-is-hybrid-cloud-computing/

The cloud computing model that includes both on-premises and cloud-based resources is called a hybrid cloud.

A hybrid cloud is a combination of private and public clouds that allow organizations to use both on-premises resources and cloud-based services from multiple cloud providers. This type of cloud model is particularly useful for companies that need to maintain some level of control over their data or applications, while also taking advantage of the flexibility and scalability of the cloud.

In a hybrid cloud, some workloads or applications are run on-premises, while others are migrated to the cloud. This allows organizations to optimize their resources and balance their workload distribution. For example, applications that require high performance or low latency may be better suited for on-premises resources, while applications with variable or seasonal demand can benefit from the elasticity of the cloud.

To implement a hybrid cloud, organizations typically use a combination of technologies such as virtual private networks ( VPNs), cloud gateways, and application programming interfaces (APIs). These technologies enable secure communication between the on-premises infrastructure and cloud-based services.

In summary, a hybrid cloud model offers organizations the best of both worlds, allowing them to leverage the benefits of both on-premises and cloud-based resources, while still maintaining control over their data and applications.