The need for Hybrid Cloud

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As organizations attempt to strike a balance between having all IT services on premises and offloading storage and compute to the cloud, a logical central ground has emerged: The Hybrid Cloud.

Cloud Computing models are broadly classified as:

Public Cloud, Public Cloud, and Hybrid Cloud.

Public Cloud:

A public cloud is the standard cloud computing model, in which a service provider makes resources such as application and storage available to the general public over the Internet. Public cloud services may be free or offered on a pay-per-usage model.

Private Cloud:

Private clouds are data centers architectures owned by a single company that provides flexibility, scalability, provisioning, automation, and monitoring. Private clouds can be expensive with typically modest economies of scale.

Hybrid Cloud:

Hybrid Cloud is an environment that employs both private and public cloud services. Hybrid cloud refers to a combination of a public cloud service and a private cloud on-premises; however, hybrid clouds could also consist of two public clouds provided by different providers or even a combination of a cloud and traditional IT.



Hybrid Cloud
Figure 1: Hybrid Cloud



With Hybrid Cloud, an organization can amplify their efficiencies by utilizing public cloud services for all non-sensitive operations, only depending on a private cloud where they require it, with it guaranteeing that all stages are flawlessly coordinated.This keeps data exposure to a bare minimum because they’re not storing sensitive data long-term on the public cloud.

Building a hybrid cloud with private infrastructure that’s directly available considerably decreases access time and latency in comparison to public cloud services.

Hybrid cloud minimizes trade-offs and breaks down technical restrictions so that users get maximum profit and enhanced performance from each component. A complete hybrid cloud environment enables the user to distribute the workloads where it is needed.

Another advantage of this hybrid cloud model is the capacity to have an on-premises computational framework that can support the normal workload for business while maintaining the ability to leverage the public cloud for failover conditions in which the workload exceeds the computational energy of the private cloud component.

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