SANTA CLARA, Calif., Nov. 3, 2016 /PRNewswire/ -- Gigamon Inc. (NYSE: GIMO), the industry leader in traffic visibility solutions, announced today a new 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. 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.
Service providers are fundamentally transforming how they manage and monitor their networks to keep up with escalating amounts of traffic, new handsets, new real-time services and complex subscriber behaviors. The approach to add more analytic and performance management tools has been challenging due to variable rate interfaces and variable throughput processing capabilities - making it previously impossible to integrate, scale or aggregate disparate traffic to achieve a holistic view of a subscriber's daily services and device use. Network performance lags and new technologies are slow to rollout without being de-risked through the insight provided by a centralized tool rail. Many new services are sensitive to delay, jitter and latency forcing customer-service costs to rise and subscriber satisfaction to decrease. The previous inability to dynamically scale traffic to fit the busy hour requirement has caused both tool over- and under-subscription, further draining tool resources and decreasing overall operational efficiency. Overlapping Flow Samples Deliver Service Providers Richer Intelligence & Insights Gigamon's Visibility Platform with expanded FlowVUE capabilities helps service providers solve these challenges by enabling analytic tools to collect, analyze and gain a multi-dimensional understanding of subscriber behavior and insight of network traffic. By correlating subscriber identity, traffic type, and subscriber quality of experience, operators can pin-point where network trouble spots reside and what their associated causes are, shortening the analysis time. 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.