Parallels RAS Cloud Deployment Options

  • Parallels® Remote Application Server (RAS) offers flexible cloud deployment models, allowing businesses to leverage different technologies while reducing total cost of ownership (TCO).
  • Organizations can build a flexible infrastructure, mixing and matching Remote Desktop Session Host (RDSH), virtual desktop infrastructure (VDI), hypervisors, hyperconverged systems and any cloud solution.
  • Business requirements such as workforce mobility, infrastructure scaling and budget constraints are easily met.

On-Premises Deployment (Private Cloud)

Parallels RAS on-premises deployments are rolled out on either physical servers or virtual machines (VMs). This scenario applies to organizations that require end-to-end control for data, provisioning, backup and failover. In most cases, this type of setup is done in an organization’s own datacenters and sometimes with third-party providers (like colocation and regional vendors).

On-Premises Deployment

On-Premises Deployment

Parallels RAS Reference Architecture

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Public Cloud Deployment

Parallels RAS supports public cloud deployments in Microsoft Azure and Amazon Web Services (AWS).

Public Cloud Deployment

Deployment on Azure

Cloud deployments can auto-scale based on user workloads. To expand your operations in another geographical location, deploy new infrastructure. Due to the cloud’s global presence, users can access applications and desktops with a consistent experience on any device.

By deploying Parallels RAS on public clouds, organizations can use out-of-the-box high availability and advanced services such as disaster recovery.

Parallels RAS and Azure Reference Architecture

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Hybrid Deployment

Parallels RAS supports hybrid deployment, allowing for data segregation and migration between the infrastructures. A hybrid cloud provides flexibility when computing requirements and costs change by distributing workloads between a private and public cloud. With Parallels RAS, different scenarios can be easily implemented, from adding RD Session Hosts to handle extra end users, to having a cost-effective, high-availability infrastructure.

Hybrid Deployment

Deployment on AWS

Organizations implement a hybrid deployment to create a failover infrastructure that combines on-premises and public cloud installations. Also, a hybrid deployment can be the first step in a long-term strategy for a full transition to the public cloud.

Parallels RAS supports hybrid deployment with Microsoft Azure, Amazon Web Services, and more cloud providers.

Parallels RAS on AWS

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Hyperconverged Deployment

A hyperconverged infrastructure (HCI) deployment is an all-in-one box solution that includes server, management software, storage area network and underlying storage abstractions. The centralization of infrastructure management simplifies the deployment and scalability of hypervisors and VMs.

Nutanix with VMware ESX

Deployment on Nutanix

With HCI solutions, power and space requirements are reduced and storage complexities are eliminated. One of the main advantages of HCI is the ability to plug and play into a datacenter pool and operate instantly without further configurations.

Nutanix with VMware ESX

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Deployment on HPE Hyper Converged

Deployment on HPE Hyper Converged

Parallels RAS delivers applications and desktops from HCI through a single and intuitive console that centralizes the management of datacenter resources.

HPE Hyper Converged

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Deployment on SKALA-R

Deployment on SKALA-R

By combining the cost-effectiveness of Parallels RAS and HCI’s ability to lower operational costs, businesses can reduce TCO and take advantage of the plug-and-play deployment without any time-consuming configurations.

SKALA-R

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Deployment on Scale Computing’s HC3

Deployment on Scale Computing’s HC3

Parallels RAS supports Scale Computing’s HC3, a hyperconverged solution that combines compute, storage, virtualization, backup, and disaster recovery in a single appliance. This capability allows IT administrators to manage (start/stop/suspend/reset/delete/clone) VMs through Scale Computing HC3 API.

Scale Computing’s HC3

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