Viavi Solutions Launches GigaStor Software Edition for Virtual and Cloud Environments
Solution Delivers Fast and Accurate Troubleshooting and Assurance in Next Generation Network Architecture
(NASDAQ: VIAV) Viavi Solutions Inc. (“Viavi”) today announced it is expanding its portfolio of software-defined network test and monitoring solutions with the new GigaStor Software Edition to manage performance and user experience in virtual and cloud environments. The new software configurations, which Viavi is demonstrating at VMworld, allow network and server teams to capture and save 250 GB or 1 TB of continuous traffic to disk for in-depth performance and forensic analysis.
“IT teams are wasting a lot of time by only tracking virtual server and resource health,” said Charles Thompson, senior director of product management, Viavi Solutions. “These teams can often miss problems associated with applications within the hypervisor with such narrow vision. With GigaStor Software engineers now have the ability to see in real time and historically how users are experiencing applications and services within the virtual environment, saving time and end-user heartache.”
Without GigaStor’s insight, engineers could spend hours replicating a network error before they can diagnose its cause. GigaStor Software captures packet-data from within the virtual switching infrastructure without needing to push data into the physical environment. It can be deployed in any virtual host for the long-term collection and saving of packet-level data, which it can decode, analyze, and display. Additionally, it provides IT teams with greater accuracy and speed in troubleshooting by having all packets available for immediate analysis.
Utilizing the GigaStor Software and appliances, network teams can monitor and analyze all virtual datacenter traffic whether within a VMware ESX host or on 10 and 40 Gigabit Ethernet links. GigaStor Software is available today for purchase, and is being demonstrated during VMworld in San Francisco at Viavi Solutions booth #2235.
Thanks to Viavi for the article.