There are numerous  organizations that are primarily focusing on making most of the cloud-based technology with an aim to slash down their overall capital expenditure and control the ever-increasing operating costs. There has been an assertive increase in the number of businesses that are pushing forward to adopt cloud nowadays.

However, there are possibilities that the adoption of cloud without in-depth knowledge can bring in challenges in IT Management, which can prove to be more costly for any organization to deal with, even after shifting gears to the cloud. Therefore, it is of utmost importance for businesses to fathom and analyze their requirements on first hand prior to opting out the right cloud platform among various deployment models available.

There are principally four cloud deployment models, which are as conferred below, along with scenarios in which a business should look in for before choosing anyone out of them.

The Private Cloud

This model of cloud does not come in terms with cost effectiveness attribute; it is rather relative to purchasing, building and handling your own infrastructure. Yet, it ushers in a remarkable value from a security standpoint. In the course of their preliminary adaptation to the cloud, many organizations usually come across challenges and have trepidations related to data security. These trepidations are very well handled by this model, wherein hosting is built-in and fully managed for a particular client. The infrastructure required for hosting can be on-premises or at a third-party site.

And worries related to security provisions can be very well addressed via secure-access VPN or by the physical location within the client's firewall system.

Besides, for mission-critical applications we may have to contemplate on the downtime aspect in terms of Internet quick accessibility, higher quality standards and superior performance level. Hence, if you are thinking of hosting an application, then we would recommend you to go ahead with on-premise private cloud.

In addition to security reasons, this model is even embraced by organizations in circumstances where data or applications are required to toe the line with several monitoring criterions, such as SOX, HIPAA, or SAS 70, which may involve data to be handled for privacy and audit reasons that administer the corporation. Let's take up the case for the healthcare and pharmaceutical industries for more clarification-transferring of data to the cloud may contravene the norms. Likewise, would say that different countries do have different laws and regulations for dealing and managing mission-critical data, which can encumber the business if cloud is not under the same jurisdiction.

The Public Cloud

The public cloud deployment model signifies spot-on cloud hosting. In this type of deployment model, facilities and infrastructure are offered to numerous clients. Here, we would say that Google is one of the best examples of a public cloud. This service is typically offered by a service provider either charge free or on the basis of a pay-per-user/pay-as-you-go model.

This model best conforms to business requirements wherein it is essential to cope up with unanticipated workload spikes, host SaaS applications, utilize provisional infrastructure for developing and testing applications, and manage applications which are used by many users that would else may involve huge investment in infrastructure from businesses.

This model will not only help you slash down overall capital expenditure, but will also abridge operational IT costs.

The Hybrid Cloud

This deployment model helps businesses to make most of the tenable and protected applications and data hosting on a private cloud, while still reveling in the cost- effective aspects simply by putting the shared data and applications on the public cloud. This model can prove to be beneficial in the cases where management of the cloud bursting is required; it can be defined as a scenario wherein the prevailing private cloud infrastructure is not able to manage the unexpected workload spurts and requires a contingency option to support the increasing load. Hence, the cloud smartly migrates the extra workload between public and private hosting without creating any troublesomeness for the end- users.

The Community Cloud

In the community deployment model, the cloud framework is shared by numerous organizations with the same guiding principle and compliance considerations. This undeniably aids them to further lessen the costs as equated to a private cloud, as it is shared with bigger group.

In the government sectors, we would say they require access to the same data relating to the local population or information related to various infrastructures, such as hospitals, roads, electrical stations, etc., can make use of this community cloud to handle their applications and data more efficiently.

 In a nutshell, would say that Cloud computing is not that "rocket-science" technology; therefore, always make sure that while deciding to take up any deployment model your decision should be based on  your ongoing business requirements, the criticality of the application and the level of support needed.