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Nyansa Delivers More Control For Managing User Performance Within Aruba Instant And Extreme Networks Wireless Network Environments

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News provided by

Nyansa, Inc.

Aug 20, 2018, 08:00 ET

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PALO ALTO, Calif., Aug. 20, 2018 /PRNewswire/ -- Extending its lead in the IT performance analysis market, Nyansa Inc. ("knee-ans-sah"), a fast-growing innovator of user performance management technology, today introduced integrated support for Aruba Instant and Extreme Networks, Inc. Smart OmniEdge™ solutions (WiNG5) into its critically-acclaimed Voyance network analytics and service assurance platform. 

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Analytics dashboard from Nyansa's Voyance SasS service.
Analytics dashboard from Nyansa's Voyance SasS service.

In addition to data from controller-based Cisco and Aruba wireless LANs, Wi-Fi metrics from ExtremeMobility™ controllers and Aruba Instant networks are now automatically collected, analyzed and correlated with other data sources as part of Nyansa's full-stack network analytics platform that leverages big data analytics and machine learning.

One of the world's largest home improvements centers, a leading global retailer and a prominent global logistics company are among the first organizations to deploy the new Voyance Wi-Fi services.

With the integration, Extreme Networks and Aruba Instant customers can quickly quantify user Wi-Fi performance and network behavior, automatically identifying the best/worst performing access points (APs), clients and locations with remediation recommendations to fix problematic Wi-Fi network behavior impacting poor user experience. ''

Voyance is the industry's only full-stack, vendor agnostic, network analytics solution and is now the largest network analytics service available–analyzing more than 10 million wireless client devices with support for the broadest range of wired and wireless data sources.

"As Enterprises seek mobility management solutions that rapidly identify infrastructure issues, Extreme Networks continues to demonstrate its commitment to deliver management interoperability and choice within the WiFi ecosystem. By integrating with Voyance in customer environments, we are enhancing the experience for customers looking to augment visibility and troubleshooting analysis of their ExtremeMobility solution," said Mike Leibovitz, senior director of product management, Extreme Networks.

Within a public SaaS or private-cloud platform option, Voyance analyzes a rich collection of infrastructure data from a myriad of infrastructure elements including: client devices, Wi-Fi APs, IP infrastructure elements (eg. DNS, DHCP), authentication servers, unified communication (UC) systems, cloud-based and custom applications as well as wide area network flows.

This gives enterprises a complete end-to-end view of, and control over, the user network experience. IT staff can quickly identify performance problems impacting poor user connectivity across the entire corporate access network and eliminate the costly and cumbersome manual analysis of volumes of infrastructure data.

With Voyance, Enterprises have a single source of truth for network teams by which they can quantify the end user experience across the entire network, justify infrastructure changes, and accurately develop capacity plans using existing data running across their networks.

"Nearly all enterprises operate heterogenous network environments and want more sophisticated infrastructure management solutions able to deliver real answers based on real data analysis across their entire network not just one part of it," said Zeus Kerravala, Principal Analyst at ZK Research. 

"Given the changing face of modern IT infrastructures, IT leaders must make an array of decisions about how to observe and analyze network events and behavior. With the continued integration and analysis of more and more data sources, Voyance is quickly becoming the gold standard for doing exactly this," concluded Kerravala.

Media Contacts

David Callisch
Nyansa, Inc.
[email protected] 
+1 (408)-504-5487

SOURCE Nyansa, Inc.

Related Links

http://www.nyansa.com

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