GigaVUE V Series

Aggregate, optimize and selectively distribute traffic from the public and private clouds to your security and monitoring tools.

Enhance Your Workload Visibility in Hybrid Clouds

Organizations are making the move to the cloud, including public, private and hybrid, to take advantage of fully automated and virtualized environments, extensive scalability and accelerated deployment of revenue-generating services. But migrating to the cloud doesn’t reduce the burden on security and monitoring tools — in fact, most tools are experiencing tool overload as there is simply too much data traversing hybrid cloud networks. As a consequence, security risks and threats are not being identified in time to stop attacks, which often have significant implications for reputation and brand. Application response times may degrade, impacting SLAs, which results in poor end-user experience and lost business.

GigaVUE® V Series virtualized visibility nodes are deployed in the cloud, where they acquire, aggregate, filter, process and distribute traffic. With the Gigamon solution, enterprises can load balance and send relevant traffic to their cloud and on-premise tools, reducing compute and transport cost and complexity across their entire IT infrastructure. Only by visualizing all workload VMs and directing their optimized traffic to the proper tool can security and network performance be ensured.

Increase Tool Efficiency and Effectiveness in the Cloud

To access traffic traversing the cloud, enterprises are leveraging agents and VMs to copy network traffic. Gigamon G-vTAP modules, lightweight agent deployed on both Linux and Windows workloads in the public cloud, sends mirrored traffic to GigaVUE V Series nodes. For private clouds, Gigamon G-vTAP VM and GigaVUE V Series instances in VMware environments provide the acquisition function.

Once mirrored traffic is received, the GigaVUE V Series nodes leverage the following GigaSMART® applications for traffic optimization:

  • Packet de-duplication: Duplicate packets are identified and dropped, while unique packets are left untouched
  • Flow Mapping® : Select traffic of interest by using overlapping rules and nested conditions
  • NetFlow and IPFIX generation: Generate flow records from network traffic to determine IP source, traffic destination, class of service and causes of congestion
  • Slicing, sampling, masking: Optimize and send only relevant traffic to tools.
  • Load balancing: Divides and distributes traffic among multiple tools to ensure their availability while minimizing scaling needs

By sending the right traffic to the right tools, you can stop tool sprawl and overload, ensuring an effective security and network monitoring posture.

As organizations build out their cloud infrastructure, they traditionally are forced to manually configure each compute instance for effective security and monitoring. The GigaVUE V Series leverages Automatic Target Selection, a patented Gigamon technology that automatically selects and delivers traffic that matches configured policies when new cloud instances spin up, saving time and resources.

The GigaVUE V Series further leverages the GigaVUE-FM fabric manager and cloud orchestration tools, such as AWS CloudWatch, VMware NSX-T/vSphere or Ansible, to automatically migrate and scale based on the varying number and locations of compute instances. This ensures dynamic workload visibility and necessary performance levels that are key in ever-changing cloud environments.

GigaVUE V series


GigaVUE V Series

This online training module covers the basics of the Visibility and Analytics Fabric when deployed in an AWS environment. Learn more about how the GigaVUE V Series provides traffic intelligence in your public cloud environment.

“One of CME Group’s top priorities is ensuring we are ahead of the curve when it comes to protecting the integrity of our data. GigaVUE Cloud Suite for AWS allows us to benefit from the cost efficiencies and security of a cloud solution, while standardizing our solutions across our cloud and on-premise solutions.”

Kevin Kometer, Chief Information Officer, The CME Group

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