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Gigamon Introduces NetFlow Generation Application to Optimize Network Infrastructure

Gigamon announced a forthcoming application to generate and export NetFlow records from within the Visibility Fabric.

As a part of the Applications Layer of the Unified Visibility Fabric architecture, the NetFlow Generation application will create NetFlow records, then send the information to one or multiple NetFlow collectors or analyzers.

The application can maximize the efficiency of the network itself by assuming the processing necessary to generate NetFlow information that had previously been dedicated within the switch, thereby reducing the burden to the network.

“The NetFlow Generation application is a new and very interesting offering for our customers,” said Shehzad Merchant, Chief Strategy Officer at Gigamon. “This application is unique because it centralizes NetFlow Generation, offloads this compute intensive job from the network switches and routers, and does it effectively at high throughput rates for both sampled and unsampled traffic. By making NetFlow Generation an application integral to the Visibility Fabric, all the benefits of Flow Mapping®, filtering, replication, can be applied in conjunction with the NetFlow Generation capability, providing a very fine granularity of control. This is really an industry first for the monitoring space.”

NetFlow is a simple way to derive basic information about things like traffic types, usage patterns, top talkers and top applications across systems. The records from the NetFlow Generation application can be exported to multiple collectors concurrently, providing a single flow source for business-critical management applications such as security, billing, capacity planning, and more.

“Users can now leverage Gigamon’s Visibility Fabric for both packet and flow-level visibility in order to drive greater efficiencies in the network and network monitoring systems,” said Bob Laliberte, Sr. Analyst at Enterprise Strategy Group. “The NetFlow application will provide IT operations teams with the requisite information on network traffic types, relationships between network nodes and usage patterns without utilizing a separate appliance for NetFlow Generation or taxing the network. Simultaneously, network, application and security teams can take advantage of the Gigamon Visibility Fabric to provide packet-level visibility required for sniffers, probes and other security or performance analysis tools.”

The NetFlow Generation application is targeted for availability in Q1 of 2014.

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Gigamon Introduces NetFlow Generation Application to Optimize Network Infrastructure

Gigamon announced a forthcoming application to generate and export NetFlow records from within the Visibility Fabric.

As a part of the Applications Layer of the Unified Visibility Fabric architecture, the NetFlow Generation application will create NetFlow records, then send the information to one or multiple NetFlow collectors or analyzers.

The application can maximize the efficiency of the network itself by assuming the processing necessary to generate NetFlow information that had previously been dedicated within the switch, thereby reducing the burden to the network.

“The NetFlow Generation application is a new and very interesting offering for our customers,” said Shehzad Merchant, Chief Strategy Officer at Gigamon. “This application is unique because it centralizes NetFlow Generation, offloads this compute intensive job from the network switches and routers, and does it effectively at high throughput rates for both sampled and unsampled traffic. By making NetFlow Generation an application integral to the Visibility Fabric, all the benefits of Flow Mapping®, filtering, replication, can be applied in conjunction with the NetFlow Generation capability, providing a very fine granularity of control. This is really an industry first for the monitoring space.”

NetFlow is a simple way to derive basic information about things like traffic types, usage patterns, top talkers and top applications across systems. The records from the NetFlow Generation application can be exported to multiple collectors concurrently, providing a single flow source for business-critical management applications such as security, billing, capacity planning, and more.

“Users can now leverage Gigamon’s Visibility Fabric for both packet and flow-level visibility in order to drive greater efficiencies in the network and network monitoring systems,” said Bob Laliberte, Sr. Analyst at Enterprise Strategy Group. “The NetFlow application will provide IT operations teams with the requisite information on network traffic types, relationships between network nodes and usage patterns without utilizing a separate appliance for NetFlow Generation or taxing the network. Simultaneously, network, application and security teams can take advantage of the Gigamon Visibility Fabric to provide packet-level visibility required for sniffers, probes and other security or performance analysis tools.”

The NetFlow Generation application is targeted for availability in Q1 of 2014.

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As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...

AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

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