Thursday, 20 June 2019 09:22

Parallels adds ML to RAS


A key feature of Parallels Remote Application Server 17, which was released a few days ago, is the use of machine learning to pre-launch applications so users can be immediately productive.

Remote Access Server is Parallels' product for delivering virtual desktops and applications.

Version 17 applies machine learning to determine users' computing habits, applications used and login time, and then pre-launches the appropriate software so they can get straight to work.

It also applies automatic host pool workload management to prevent login storms during peak hours.

Other features include integration with Google MFA Authenticator for an additional layer of security, support for Windows Server 2019 (and hence RDS and Hyper-V), improved VDI security through dynamically managing users' remote access rights as required, and a new REST API for easier integration with scheduling and workflow applications.

In addition, RAS 17 provides granular permissions, allowing management flexibility while keeping security high; a Web-based helpdesk console for managing RDSH sessions, VDI and applications; simplified VDI and RDSH deployment at scale; and new reporting and monitoring capabilities including custom reports.

"We packed intelligent and automated capabilities into Parallels RAS 17 that increase users' productivity, quality experiences and satisfaction, while further improving management," said Parallels senior vice president of engineering and support Nick Dobrovolskiy.

"Parallels RAS 17 provides increased security, performance and simplicity to businesses so they can seamlessly and cost-effectively manage and deliver virtual desktops and applications to any user or device across the globe. Employees with iPhone, iPad, and Android devices can even use familiar native touch gestures to easily work with virtual files and be truly productive from anywhere."

Parallels RAS 17 costs $124.95/concurrent user/year. A 30-day, 50-user free trial is available.


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Stephen Withers

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Stephen Withers is one of Australia¹s most experienced IT journalists, having begun his career in the days of 8-bit 'microcomputers'. He covers the gamut from gadgets to enterprise systems. In previous lives he has been an academic, a systems programmer, an IT support manager, and an online services manager. Stephen holds an honours degree in Management Sciences and a PhD in Industrial and Business Studies.



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