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Ixia Introduces Packet Capture Module

Ixia introduced its Packet Capture Module (PCM), the newest addition to its Visibility Architecture, which provides network engineers with the ability to capture and quickly analyze packets associated with service outages and establish root cause.

Designed to take advantage of the single plane of glass user interface (UI), the packet capture and decode capabilities enable users to troubleshoot performance, security and availability problems. This combination results in a faster mean time to resolution (MTTR) when problems occur.

The PCM is a 48 x 10GE interface card designed for Ixia’s NTO 7300 network packet broker. The PCM enables users to capture traffic manually or to specify a trigger event for network recording, and its circular buffering window automatically retains a configurable amount of packets that both precede and follow any trigger point. The captured files are then stored on the chassis and can be opened on the user’s PC using a third party decoder, or securely transferred to an external location. The UI also offers a built-in decoder allowing users to quickly view and recognize network problems and events without exiting Ixia’s user interface.

“Users expect more from their network every day. Being able to identify and resolve network availability problems is critical to ensuring user quality of experience,” said Scott Register, Senior Director of Product Management for Ixia. “Ixia’s new Packet Capture Module provides network engineers with the ability to quickly capture and evaluate symptomatic traffic for a faster mean time to resolution.”

Key Features:

- Packet capture capability at full 40 GbE line rate with built-in decode functionality.

- Total storage capacity of up to 84GB.

- Individual capture capacity of up to 14 GB.

- Sliding sampling window is buffered to capture pre-event information.

- Onboard and off-board PCAP storage options.

- Feature enabled by drag and drop in the NTO GUI

- Role-based access to packet capture is automatically assigned.

- Packet captures can be initiated manually, via API, or event triggered.

- Extensive list of trigger fields including MAC address, VLAN, Ethernet type, IP address, MPLS label, IP Protocol, TCP control and Layer 4 port.

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Ixia Introduces Packet Capture Module

Ixia introduced its Packet Capture Module (PCM), the newest addition to its Visibility Architecture, which provides network engineers with the ability to capture and quickly analyze packets associated with service outages and establish root cause.

Designed to take advantage of the single plane of glass user interface (UI), the packet capture and decode capabilities enable users to troubleshoot performance, security and availability problems. This combination results in a faster mean time to resolution (MTTR) when problems occur.

The PCM is a 48 x 10GE interface card designed for Ixia’s NTO 7300 network packet broker. The PCM enables users to capture traffic manually or to specify a trigger event for network recording, and its circular buffering window automatically retains a configurable amount of packets that both precede and follow any trigger point. The captured files are then stored on the chassis and can be opened on the user’s PC using a third party decoder, or securely transferred to an external location. The UI also offers a built-in decoder allowing users to quickly view and recognize network problems and events without exiting Ixia’s user interface.

“Users expect more from their network every day. Being able to identify and resolve network availability problems is critical to ensuring user quality of experience,” said Scott Register, Senior Director of Product Management for Ixia. “Ixia’s new Packet Capture Module provides network engineers with the ability to quickly capture and evaluate symptomatic traffic for a faster mean time to resolution.”

Key Features:

- Packet capture capability at full 40 GbE line rate with built-in decode functionality.

- Total storage capacity of up to 84GB.

- Individual capture capacity of up to 14 GB.

- Sliding sampling window is buffered to capture pre-event information.

- Onboard and off-board PCAP storage options.

- Feature enabled by drag and drop in the NTO GUI

- Role-based access to packet capture is automatically assigned.

- Packet captures can be initiated manually, via API, or event triggered.

- Extensive list of trigger fields including MAC address, VLAN, Ethernet type, IP address, MPLS label, IP Protocol, TCP control and Layer 4 port.

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While companies adopt AI at a record pace, they also face the challenge of finding a smart and scalable way to manage its rapidly growing costs. This requires balancing the massive possibilities inherent in AI with the need to control cloud costs, aim for long-term profitability and optimize spending ...

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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 ...

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

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