Deployment Models of Cloud Computing and Their Use Cases

Migrating from on-premises to cloud-based services is an important strategic decision for organizations because it offers many benefits such as reduced IT costs, mobility, scalability, and collaboration efficiency. However, despite these benefits, there are risks and challenges that can be analyzed only in the context of the deployment models of cloud computing, such as public, private, hybrid, and multi-cloud.

A cloud computing deployment model allows the company to identify the environment that will house the IT infrastructure based on ownership, accessibility, scale, and cloud’s nature and purpose. It defines how your cloud-based infrastructure will look, what the IT teams can change, and whether you can access all the services or you’ll create everything for yourself. Learn more about deployment models of cloud computing and find out what is suitable for your organization.

Public Cloud Model

A public cloud is an IT infrastructure model where a cloud service provider (CSP) offers on-demand computing services such as virtualized compute, networking, and storage over the public internet to its subscribers. Most public cloud environments leverage multi-tenant architectures to allow users to run and use workloads on a shared infrastructure.

Public cloud architectures have three common service models:

Public cloud models have various advantages such as:

Despite these benefits, public clouds have known disadvantages, including:

Private Cloud Model

A private cloud—also called the internal or corporate cloud—delivers computing services via a proprietary architecture dedicated to a single subscriber or business entity. Like other cloud computing environments, private clouds provide extended and virtualized computing resources (compute, storage, and networking) via physical components located on-premises or at the CSP’s datacenter.

A private cloud combines many of the cloud computing benefits such as self-service and scalability with the control and security of the on-premises IT infrastructure. Suppose the security of your workloads is a major concern. In that case, a private cloud may be the best option because IT teams can manage data governance, ensuring compliance with any industry regulations.

Private clouds can also provide the support you require for legacy applications that can’t be moved to public clouds. Some advantages of private clouds include that they:

Like public clouds, private clouds have also their demerits such as:

Hybrid Cloud Model

A hybrid cloud is an approach that integrates on-premises IT infrastructure, private cloud, and the public cloud via an orchestration platform. This result is a single, unified, and agile computing infrastructure where the business can run seamlessly and scale its traditional and cloud-native workloads.

Hybrid cloud is the most commonly used model because many organizations already own some hardware that they would like to continue using alongside cloud-based services. A hybrid cloud strategy is the best option if the company has some legacy applications or mission-critical workloads with sensitive data.

In this case, it can decide to run these applications on-premises while deploying the rest to the public cloud. This way, the company achieves the benefits of both worlds. The hybrid cloud model has two main advantages:

However, one problem you’re likely to encounter with a hybrid cloud is that it may be complex to operate. Because resources span on-premises and public infrastructure, the hybrid cloud creates another abstraction level requiring an effective orchestration solution that may be costly.

Multi-cloud Model

A multi-cloud model is an approach where an organization incorporates public cloud services from more than a CSP. In a multi-cloud configuration, a company may run workloads on IaaS or PaaS from multiple vendors such as AWS, Azure, or Google Cloud Platform.

An organization can choose a multi-cloud strategy because of various reasons. Some may want to avoid the vendor lock-in problem since getting stuck with one CSP can make it difficult for them to adopt a responsive strategy. Others may select a multi-cloud strategy because they want to spread the risks of failure.

For example, spreading resources across multiple CSPs can help realize redundancy if one vendor’s services go down. Multi-cloud deployments can also help combat shadow IT. For example, employees can still benefit from a specific public cloud service even if the service does not meet strict IT policies.

Below are some advantages of a multi-cloud deployment model:

However, like the hybrid cloud, a multi-cloud has one downside: governance. Managing multi-cloud environments can be complex if the organization uses traditional tools.

Flexible Cloud Deployment Models when Using Parallels RAS

Parallels® Remote Application Server (RAS) is a flexible, cloud-ready, ease-to-use, and low-cost virtual desktop infrastructure (VDI) solution. Parallels RAS supports various cloud deployment models, including public, private, and hybrid.

Organizations can use Parallels RAS to deploy Windows applications and desktops on public clouds such as AWS, Azure, and Google Cloud Platform seamlessly. The platform also integrates seamlessly with Azure Virtual Desktop, allowing IT teams to unify and manage all virtual workloads from a single console—including Windows 10 Enterprise multi-session.

If the organization requires end-to-end control over its applications and data, Parallels RAS provides this support with an easy-to-install application and various cross-platform clients to support end users. Parallels RAS also supports a hybrid cloud model, providing the necessary flexibility for organizations to enjoy the benefits of private and public clouds.

Most importantly, Parallels RAS supports major hyper-converged infrastructure (HCI) solutions such as Scale Computing HC3 and Nutanix Acropolis.

Try out Parallels RAS today and find out how it supports various cloud deployment models!