VIAVI Reinvents Performance Management and Network Security with Enriched Data Flow Records

By on

A new press release states, “Viavi Solutions Inc. today announced the launch of Observer GigaFlow, a powerful solution that delivers enriched flow records to stitch together user, network, and infrastructure data into a single record. GigaFlow is the latest enhancement to VIAVI Observer, the platform recognized as a leading Network Performance Management and Diagnostics (NPMD) solution by Gartner’s Magic Quadrant. The growing number and variety of devices and applications across today’s hybrid IT environment are becoming increasingly difficult to manage — whether related to IoT, SD-WAN, cloud migrations or remote users at the network edge. Observer GigaFlow delivers analytics and deep insight in a single enriched flow record, providing end-to-end visibility beyond the core to the farthest reaches of the IT network for fast, simple and effective troubleshooting and forensics investigations.”

Doug Roberts, Vice President and General Manager of Enterprise and Cloud at VIAVI, commented, “IT network operations and security teams are struggling to manage a variety of critical issues with incomplete and siloed data; from investigating abnormal behavior on the network to troubleshooting remote user experience and applications… Observer GigaFlow intelligently fuses rich data sets from all perspectives – user, traffic and infrastructure – delivering powerful insights for expertly mastering every performance and security challenge.”

The release continues, “As a tightly integrated part of the VIAVI Observer platform, GigaFlow enriched records complement GigaStor wire data to present comprehensive operational visibility for management of user experience, network performance and security incidents. With GigaFlow’s user-centric approach, visibility is simpler than ever – only requiring a user’s name to call up complete details including client devices, performance issues, access behavior, and activity.”

Read more at PR Newswire.

Image used under license from Shutterstock.com

We use technologies such as cookies to understand how you use our site and to provide a better user experience. This includes personalizing content, using analytics and improving site operations. We may share your information about your use of our site with third parties in accordance with our Privacy Policy. You can change your cookie settings as described here at any time, but parts of our site may not function correctly without them. By continuing to use our site, you agree that we can save cookies on your device, unless you have disabled cookies.
I Accept