Gigamon introduced a subscriber-based IP sampling paradigm which helps service providers turn big data into manageable data providing greater visibility and insight.
The new capabilities in Gigamon’s FlowVUE application enable users to send overlapping flow samples to multiple analytic tools at the same time.
Gigamon said that by expanding tool rail depth of analysis, operators can gain a multi-dimensional understanding of subscriber behavior and deeper traffic insight for improved and actionable intelligence.
FlowVUE also increases tool performance by scaling the traffic to fit the attached tool processing throughput capacity as the network traffic volumes shift during high and low peak times. Service providers gain new operational efficiencies by avoiding the unnecessary traffic and tool dimensioning of over- and under-subscription across a wide set of tools. The optimized throughput processing allows operators to dimension their tool rail for a specific percentage of the typical busy hour and apply cost savings elsewhere on their network.
“For the first time, service providers can experience higher levels of subscriber-aware visibility and intelligence to make real-time decisions and improved customer experiences,” said Andy Huckridge, director of service provider solutions at Gigamon. “By centralizing and correlating previously siloed data samples with Gigamon’s FlowVUE, service providers can now offer expanded services to their high-value subscribers, create new revenue streams, de-risk new technology rollouts and gain an operational advantage in the process.”
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