![]() Parallels RAS can leverage HC3’s rapid thin cloning to make VDI solutions faster, more affordable and easier to use. Additionally, Parallels RAS now supports Scale Computing’s KVM-based hypervisor, HC3. Simplified VDI and RDSH Deployment: IT admins can easily manage, rapidly deploy and quickly scale out their end-user computing (EUC) environment thanks to the improved management capabilities of Parallels RAS for larger deployments (such as a dedicated VDI management control pane and group wide settings).Improved VDI Security: Parallels RAS now prevents unwanted access to VDI by dynamically managing users’ remote access rights as required, by enabling remote access permissions during login and revoking permissions during logoff.This new approach enables larger enterprises, independent software vendors (ISVs) and SPs to quickly integrate Parallels RAS into their ecosystem. REST API: Parallels RAS 17 introduces a new APIfor easier integration with scheduling and workflow applications, alongside the existing PowerShell API.Web-based Helpdesk Console: Parallels RAS Helpdesk Web Console gives administrators and delegated admins access to manage RDSH sessions, VDI and applications.Windows Server 2019 Support: Parallels RAS 17 supports Windows Server 2019, allowing Parallels RAS to leverage the advanced features of the latest version of Microsoft RDS and Hyper-V. ![]() This provides management flexibility while keeping security high. Granular Permissions for Administrators: IT administrators can configure specific permissions to different administrators and delegate control of Parallels RAS objects, including RAS infrastructure components, Remote Desktop Session Host (RDSH), session management and much more.This enables organizations of any size to easily secure their access with ease and at no additional cost. Google Authenticator: Parallels Remote Application Server (RAS) integrates with Google MFA Authenticator to provide an additional layer of security using a time-based one-time password.Another benefit is automatic host pool workload management, preventing login storms during peak hours. Parallels RAS 17 uses machine learning (ML) to map users’ computing habits, applications used and login time, enabling it to pre-launch everything so users can be immediately productive when they begin their workday. No more waiting for applications to launch every workday. ![]()
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