Welcome!

@CloudExpo Authors: Pat Romanski, Karthick Viswanathan, Elizabeth White, Zakia Bouachraoui, Liz McMillan

Related Topics: Microservices Expo, Containers Expo Blog, @CloudExpo

Microservices Expo: Article

Citrix Starts Shipping Receiver

Lightweight plug-in-like software client that it makes accessing virtual desktops and applications as easy as turning on a TV

Citrix - which has been promising this stuff for a while - has announced the general availability of Citrix Receiver, a free lightweight plug-in-like software client that it says makes accessing virtual desktops and applications as easy as turning on a TV.

It's supposed to let IT function as a service provider to its own employees.

Citrix compares it a satellite or cable TV receiver and says it will deliver high-def desktops and applications on-demand to any device anywhere - including a PC, a Mac, a thin client, a netbook or an iPhone from a Citrix Delivery Center such as XenApp or XenDesktop.

The widgetry requires one-time installation and otherwise works in background.

When installed it's supposed to be responsible for security, performance and user experience.

Citrix says apps will run on any and point that has a Receiver installed and vendors won't have to worry about supporting specific software clients for each user device and operating system.

Receiver functionality can include offline app usage, virtual desktop delivery, app acceleration, multimedia acceleration and voice communication. It requires Citrix Merchandising Server, a new virtual appliance, for management, updates, administration and migration from legacy Citrix implementations.

Receiver for any Windows-based device is available now; Receiver for the Mac, Windows Mobile and Symbian are due in the second half.

More Stories By Maureen O'Gara

Maureen O'Gara the most read technology reporter for the past 20 years, is the Cloud Computing and Virtualization News Desk editor of SYS-CON Media. She is the publisher of famous "Billygrams" and the editor-in-chief of "Client/Server News" for more than a decade. One of the most respected technology reporters in the business, Maureen can be reached by email at maureen(at)sys-con.com or paperboy(at)g2news.com, and by phone at 516 759-7025. Twitter: @MaureenOGara

Comments (0)

Share your thoughts on this story.

Add your comment
You must be signed in to add a comment. Sign-in | Register

In accordance with our Comment Policy, we encourage comments that are on topic, relevant and to-the-point. We will remove comments that include profanity, personal attacks, racial slurs, threats of violence, or other inappropriate material that violates our Terms and Conditions, and will block users who make repeated violations. We ask all readers to expect diversity of opinion and to treat one another with dignity and respect.


CloudEXPO Stories
The hierarchical architecture that distributes "compute" within the network specially at the edge can enable new services by harnessing emerging technologies. But Edge-Compute comes at increased cost that needs to be managed and potentially augmented by creative architecture solutions as there will always a catching-up with the capacity demands. Processing power in smartphones has enhanced YoY and there is increasingly spare compute capacity that can be potentially pooled. Uber has successfully been able to harness the excess capacity of privately owned vehicles and turned into a meaningful business. This concept can be step-functioned to harnessing the spare compute capacity of smartphones that can be orchestrated by MEC to provide cloud service at the edge.
Using new techniques of information modeling, indexing, and processing, new cloud-based systems can support cloud-based workloads previously not possible for high-throughput insurance, banking, and case-based applications. In his session at 18th Cloud Expo, John Newton, CTO, Founder and Chairman of Alfresco, described how to scale cloud-based content management repositories to store, manage, and retrieve billions of documents and related information with fast and linear scalability. He addressed the challenges of scaling document repositories to this level; architectural approaches for coordinating data; search and storage technologies, Solr, and Amazon storage and database technologies; the breadth of use cases that modern content systems need to support; how to support user applications that require subsecond response times.
When building large, cloud-based applications that operate at a high scale, it’s important to maintain a high availability and resilience to failures. In order to do that, you must be tolerant of failures, even in light of failures in other areas of your application. “Fly two mistakes high” is an old adage in the radio control airplane hobby. It means, fly high enough so that if you make a mistake, you can continue flying with room to still make mistakes. In his session at 18th Cloud Expo, Lee Atchison, Principal Cloud Architect and Advocate at New Relic, will discuss how this same philosophy can be applied to highly scaled applications, and can dramatically increase your resilience to failure.
While some developers care passionately about how data centers and clouds are architected, for most, it is only the end result that matters. To the majority of companies, technology exists to solve a business problem, and only delivers value when it is solving that problem. 2017 brings the mainstream adoption of containers for production workloads. In his session at 21st Cloud Expo, Ben McCormack, VP of Operations at Evernote, discussed how data centers of the future will be managed, how the public cloud best suits your organization, and what the future holds for operations and infrastructure engineers in a post-container world. Is a serverless world inevitable?
The deluge of IoT sensor data collected from connected devices and the powerful AI required to make that data actionable are giving rise to a hybrid ecosystem in which cloud, on-prem and edge processes become interweaved. Attendees will learn how emerging composable infrastructure solutions deliver the adaptive architecture needed to manage this new data reality. Machine learning algorithms can better anticipate data storms and automate resources to support surges, including fully scalable GPU-centric compute for the most data-intensive applications. Hyperconverged systems already in place can be revitalized with vendor-agnostic, PCIe-deployed, disaggregated approach to composable, maximizing the value of previous investments.