GigaVUE TA Series
Aggregate and optimize network traffic with scalable GigaVUE TA Series visibility nodes.
Edge Traffic Aggregation Nodes
GigaVUE® TA Series, part of the Gigamon Deep Observability Pipeline, aggregates traffic from SPAN/TAPs to deliver pervasive edge visibility. Supporting speeds from 1G to 400G, it improves monitoring efficiency and reduces costs through core intelligence and GigaVUE-OS.
- Extends observability to cloud, remote, and edge sites
- Clusters with GigaVUE HC Series for broader visibility
- Managed through the GigaVUE-FM single-pane-of-glass interface
The GigaVUE TA Series is ideal for building a scalable, cost-efficient visibility fabric across modern networks.
DATA SHEET
Gain deep observability in networks of all sizes with the GigaVUE TA Series.
Benefits
Compact, Efficient Design
Maximize efficiency with a compact design that reduces space, power, and cooling requirements. Lower port count and speed options can be easily scaled up with licensing.
Rapid Response, Advanced Integration
Boost agility through rapid, automated responses and seamless integration with existing infrastructure.
Optimize Traffic Forwarding
Enhance tool performance by intelligently directing, aggregating, and replicating network traffic.
Secure and Optimize Traffic at the Network Edge
Effective network visibility, network monitoring, and network security begins with a properly constructed deep observability pipeline at the edge, typically with traffic running over lower-speed links or relatively low-utilization, higher-speed links.
GigaVUE TA Series consists of edge visibility nodes that run GigaVUE-OS, incorporating a range of core intelligence packet-brokering capabilities to improve the effectiveness and efficiency of monitoring tools, and gain visibility into cloud and remote sites. Clustering GigaVUE TA Series nodes with GigaVUE HC Series nodes extends and enables more pervasive visibility.
GigaVUE-FM provides single-pane-of-glass fabric management through which users can manage and orchestrate the deep observability pipeline.
GigaVUE TA Series Use Cases
The GigaVUE TA Series is especially useful for:
- Aggregating multiple SPAN/TAP traffic feeds into higher-speed uplinks
- Extending reach and density of the deep observability pipeline across the data center
- Providing visibility into leaf/spine architectures for security and performance monitoring
- Top of rack deployment, consolidating traffic to GigaVUE HC Series nodes at the end of row
- Data center upgrades moving to BiDi (e.g. Cisco) infrastructures
Which GigaVUE TA Series Is Right for You?
Regardless of size, each appliance runs the same GigaVUE-OS, supports end-to-end orchestration with GigaVUE-FM, and provides more intelligent traffic handling when combined with GigaVUE HC Series.
| Modules & Ports | GigaVUE-TA25/GigaVUE-TA25E | GigaVUE-TA200/GigaVUE-TA200E | GigaVUE-TA400/GigaVUE-TA400E |
|---|---|---|---|
| Total throughput | 2Tb | 6.4Tb | 12.8Tb |
| 400Gb ports | - | - | 32 |
| 100Gb ports | 8 | 64 | 128 |
| 40Gb ports | 8 | 64 | 32 |
| 25Gb ports | 56 | 128 | 128 |
| 10Gb ports | 56 | 128 | 128/300 |
| 1Gb ports | 48 | - | - |
| Header Stripping | Y | Y | Y |
| Tunneling | Y | Y | Y |
| Clustering | Y | Y | Y |
| # Rack units | 1 | 2 | 1 |
If you want to learn more, click here.
“My highest priority was finding a solution that allowed us to watch more than the ocean of data passing at the network border, that allowed us to sharpen our focus on the data we care about most. Now, we feel more comfortable that we’re not missing traffic and are better able to highlight and inspect traffic of interest to reduce false positives and optimize inline security tool performance.”
Resources
DATA SHEET
GigaVUE-OS
Proven, extensible operating system for Gigamon visibility nodes.
WHITE PAPER
TAP vs SPAN
Exploring two methodologies to provide direct access to actual packets.
SOLUTION BRIEF
Gigamon Deep Observability Pipeline
Get a higher level of security and compliance assurance for your hybrid cloud.
Dive Deeper
See what your peers are talking about in the VÜE Community
Product Documentation
Watch quick demos showcasing real-world use cases from the Tech Hub
To explore more use case videos, visit the Tech Hub.
Frequently Asked Questions
A network traffic aggregator is a tool that collects and combines data packets from multiple network links or sources into a single stream or fewer high-capacity links. This process simplifies monitoring, optimizes bandwidth usage, and improves the efficiency of security and performance tools.
The GigaVUE TA Series stands out from traditional network traffic aggregators because of its unique traffic intelligence, scalable architecture and integration with the Gigamon Deep Observability Pipeline. Where many traffic aggregators simply combine and forward traffic, the GigaVUE TA Series goes beyond this to perform selective traffic aggregation, replication, filtering and load balancing. GigaVUE TA Series’ limited need for space, power and cooling resources, rapid programmatic response to detectable events, and advanced integration with tools, controllers and infrastructure systems also puts it in a league of its own.
Yes, the GigaVUE TA Series supports hybrid cloud environments, enabling deep observability into both on-prem and cloud infrastructure. In addition to physical networks, you gain centralized visibility into cloud and remote sites’ network traffic, with tunnel termination and de-encapsulation on all GigaVUE TA Series platforms.
Yes, traffic aggregation with the GigaVUE TA Series can significantly improve performance by reducing load on monitoring and security tools, enabling tool optimization via load balancing and eliminating redundant data.
The GigaVUE TA Series leverages artificial intelligence (AI) to improve traffic aggregation by incorporating traffic intelligence from the GigaVUE HC Series to optimize traffic aggregation. AI enhancements from GigaVUE HC Series can analyze network traffic and only forward traffic that is relevant to the given monitoring or security tools. This selective forwarding enhances the effectiveness of these tools by improving the signal-to-noise ratio and reducing unnecessary data overload.