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Home » VSS Monitoring Delivers Network Data to Big Data Analytics Systems

VSS Monitoring Delivers Network Data to Big Data Analytics Systems

November 20, 2013
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VSS Monitoring, which is now a subsidiary of Danaher, introduced a Big Data Visibility solution that scales analytics and forensics to larger datasets than they could with legacy technology.

The VSS Monitoring’s vMesh architecture can connect hundreds of packet broker nodes, gaining real-time views into big data across their entire global network.  The new Big Data solution leverages two new advances in the vMesh Architecture: vSpool and vNetConnect.

The vSpool hardware module for VSS Monitoring’s vBroker chassis enables network data to be captured directly from the network infrastructure, and delivered to and analyzed synchronously or asynchronously by any network analytics, forensics and big data systems over a common storage or content platform.

vNetConnect software enables agent-free visibility into VMware and Cisco virtual switches, providing visibility into physical and virtual workloads and the associated network traffic without requiring any additional software to be installed on the hypervisor or as a virtual machine.

VSS Monitoring said the addition of vNetConnect enables packets from both virtual switches and physical switches to be directed into the network packet broker layer, while vSpool provides capture and delivery of those packets to analytics tools and content platforms from a single point and in an open standard format.

“Big-data systems are often blind to an invaluable resource: the data that represents every transaction in any networked business,” said Martin Breslin, Founder and President, VSS Monitoring. “Bridging this gap by linking network data with big data systems, enables a comprehensive view of the information that the business needs to make the right decisions.  vSpool addresses these challenges by delivering line-rate performance and advanced traffic grooming, while vNetConnect provides total visibility into network traffic from both physical and virtual hosts, and from active and stored data alike.  No longer are variations in data types, interfaces between systems, network latency, or physical locations of network assets a limitation to high-quality analysis.”

http://vssmonitoring.com

Tags: Big DataBlueprint columnsPacket BrokerVSS
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