Hybrid cloud is considered as the future of cloud computing. Today, many companies are moving to virtual network to leverage the benefits of cloud technology. A cloud-based network offers an economical way to improve business performance through high network availabilities that are independent of the fundamental principle of the underlying physical devices. In addition, the technology enables companies to scale up or down its capacities, without making huge capital expenditures on infrastructure upgradation, software licensing, and training the technical support team. 

By mixing the capabilities of both private and public clouds, a business can take the best of the worlds.    

Let's have a quick glance at the possible deployment models of hybrid cloud based on its integration styles at Application, Data, and Infrastructure Level

Hybrid Infrastructure

This model functions at the infrastructure level as compared to the public & private clouds in which both the models share virtual machines to make complex IT infrastructure simple. The model is integrated in the following way: 

Workload: It is mainly suitable for businesses that require workload management basis on-request scalable IT infrastructure as a temporary extension to the in-house private cloud. In a few cases, companies also deploy test development environments or a lower capacity based disaster recovery infrastructure. As the model entirely depends on the virtual machine based images, it is important that it has appropriate management tools to ensure portability across private and public clouds.

Integration Method: It is established on the virtual machine-based integration model and requires an infrastructure support, similar to a VPN, to move virtual images swiftly between public and private cloud.  It also addresses the data synchronization needs, wherein the data needs to be synchronized or moved to virtual servers.

The only challenge in this deployment model is that in order to set-up hybrid cloud at infrastructure level; additional networking configurations are required such as setting-up of firewall rules, VPN, and network connectivity & security.

Hybrid Application Services

The hybrid cloud model that works at the application level continuously facilitates interaction between the public and private cloud-based applications by using an integration layer.

Workload: The model is mainly appropriate when an application requires on-demand integration and scalability. For combining applications, there are certain cases that expose data/services from an in-house application, and data aggregation dashboards.

Integration Method: The integration method required for hybrid services and applications are middleware-based integration layers. The layers provide service abstraction, as well as subscribe and publish models that can be accessed from an in-house application via https-based API or REST services.

The main challenge associated with this model is that it requires service-integrated layer overheads to expose or create services from the on-premise data or applications. Another challenge is the data security in term of authentication, secured transportation, and authorization of data/applications.

Hybrid Data

This model works on the data levels, wherein the public cloud is mainly used as an aggregated or extended storage media for an in-house data.

Workload: Exorbitant cost of the services of a hybrid cloud has made this model an apt solution to manage data in-house. As far as public cloud is concerned, storage of archives, backups and rarely used data are managed, especially when needed from on-premise applications.

Integration Method:  It is interesting to note that hybrid data is uploaded on an integration medium. This is a technology that can easily detect and upload data on the public cloud. The technology is compatible with on-premises and is vulnerable to data security and compliance.