Hybrid cloud

What is a Hybrid cloud?

Hybrid cloud is combines two or more clouds that are unique systems, but found together to take advantage of multiple deployment models. Hybrid clouds are any combination of private and public clouds, or they can be cloud resources connected to collocation or managed/dedicated services. By hybridizing different cloud services through aggregation, integration, or customization, you can increase your capacity and capability. A hybrid cloud lacks an exact definition because it is a combination of services and providers that is unique for each context. Hybrid cloud deployment depends on goals around data security, compliance, data control, and business-critical cloud applications.

What do I need to know about Hybrid cloud?

A hybrid cloud is where the diversity of cloud service offerings shine. Some examples of hybrid cloud deployments:

-Sensitive client data is on a private cloud controlled on-premises. That is connected to a public cloud that houses a business intelligence application as a SaaS. The organization is able to leverage the services available on a public cloud while securing their clients data.

-Cloud bursting is supported by a hybrid cloud. Cloud bursting refers to a deployment model where an application usually runs in a private cloud or data center, but transfers over to a public cloud to meet capacity demands. Since private clouds are time consuming and resource-intensive to set up, cloud bursting can provide a solution when high capacity demand times are infrequent. The organization does not have to invest in resources to meet infrequent peak demand, but only purchases them on a public cloud as needed. This deployment ensures that third-party data centers will never have access to all of an organization’s data.

Is Atmosera’s Hybrid cloud the right option for my business?

If either of the case studies apply to your organization, hybrid cloud is a deployment option. Hybrid cloud computing offers the best of both worlds in the cloud. Data exposure is minimized without harming scalability.

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