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cPacket Extends Ultra-Low-Latency Monitoring and Brokering Solution for 100Gbps Network Observability

cPacket Networks announced two new products designed to deliver ultra-low-latency, high-performance, high-density 100Gbps network observability in support of the latest enterprise automation, data center consolidation, and high-performance computing requirements.

Building on cPacket’s existing 100Gbps portfolio, the new cVu® 32100 and cVu 32100E network packet broker+ allow enterprises to acquire, aggregate, observe, and reliably deliver network packet data to IT performance and security tools. Equipped with advanced features with the right economics and scale, these new products provide the best solution for ultra-low-latency monitoring and packet brokering at the same time. This results in faster transaction velocity, better user experience, lower mean-time-to-resolution, and reduced customer churn.

“As we announced the new cStor® 100 appliance a few weeks ago, our financial services and other customers expect a complementing monitoring and brokering solution to meet their demands during the most challenging times. The new cVu 32100/E completes the solution and addresses key requirements in the most challenging environments across the most demanding industries,” said Brendan O’Flaherty, CEO of cPacket Networks.

Together, these products give organizations the deep, real-time, and actionable insights they need to align with industry trends around 100Gbps migration, high-performance but low-latency computing, data center consolidation, and digital transformation.

The cVu 32100/32100E packet brokers extend the role of the existing flagship cVu 16100NG packet broker+ in a scalable 2-tier monitoring fabric architecture by offering 32 ports of 100/40Gbps or 128 ports of 25/10Gbps in a compact 1RU size. The cVu 32100E (enhanced) is specifically designed for ultra-low-latency monitoring applications, delivering nanosecond timestamping with integrated real-time analytics, combined with wire-speed ingress and egress processing at each physical port for unrivaled accuracy, performance, and reliability.

- Built for high-performance computing, financial services, and other intensive workloads. Just like the cVu 16100NG packet broker+, the cVu 32100E packet broker+ is a unique 2-in-1 solution. It is a performance monitoring tool as well as a data delivery broker and reduces the costs and complexity of monitoring architectures. It includes specific additional features for performance monitoring of ultra-low-latency applications such as high-frequency trading, market data gap detection, medical digital imaging, 3D and video animation, healthcare, oil and gas exploration, pharmaceuticals, and other high-performance computing (HPC) applications. Those features include:

* Monitoring with “cBurst” microburst characterization for application-based network utilization, bandwidth capacity planning, and tool utilization

* High-resolution counters that provide full 1-second snapshots of throughput with millisecond resolution

* High-precision timestamping for consistent metrics analysis and fastest transaction velocity

* Cost-effective TAP/SPAN aggregation and multi-speed tool distribution, and key brokering features in a 2-tier architecture with the existing NG-series.

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cPacket Extends Ultra-Low-Latency Monitoring and Brokering Solution for 100Gbps Network Observability

cPacket Networks announced two new products designed to deliver ultra-low-latency, high-performance, high-density 100Gbps network observability in support of the latest enterprise automation, data center consolidation, and high-performance computing requirements.

Building on cPacket’s existing 100Gbps portfolio, the new cVu® 32100 and cVu 32100E network packet broker+ allow enterprises to acquire, aggregate, observe, and reliably deliver network packet data to IT performance and security tools. Equipped with advanced features with the right economics and scale, these new products provide the best solution for ultra-low-latency monitoring and packet brokering at the same time. This results in faster transaction velocity, better user experience, lower mean-time-to-resolution, and reduced customer churn.

“As we announced the new cStor® 100 appliance a few weeks ago, our financial services and other customers expect a complementing monitoring and brokering solution to meet their demands during the most challenging times. The new cVu 32100/E completes the solution and addresses key requirements in the most challenging environments across the most demanding industries,” said Brendan O’Flaherty, CEO of cPacket Networks.

Together, these products give organizations the deep, real-time, and actionable insights they need to align with industry trends around 100Gbps migration, high-performance but low-latency computing, data center consolidation, and digital transformation.

The cVu 32100/32100E packet brokers extend the role of the existing flagship cVu 16100NG packet broker+ in a scalable 2-tier monitoring fabric architecture by offering 32 ports of 100/40Gbps or 128 ports of 25/10Gbps in a compact 1RU size. The cVu 32100E (enhanced) is specifically designed for ultra-low-latency monitoring applications, delivering nanosecond timestamping with integrated real-time analytics, combined with wire-speed ingress and egress processing at each physical port for unrivaled accuracy, performance, and reliability.

- Built for high-performance computing, financial services, and other intensive workloads. Just like the cVu 16100NG packet broker+, the cVu 32100E packet broker+ is a unique 2-in-1 solution. It is a performance monitoring tool as well as a data delivery broker and reduces the costs and complexity of monitoring architectures. It includes specific additional features for performance monitoring of ultra-low-latency applications such as high-frequency trading, market data gap detection, medical digital imaging, 3D and video animation, healthcare, oil and gas exploration, pharmaceuticals, and other high-performance computing (HPC) applications. Those features include:

* Monitoring with “cBurst” microburst characterization for application-based network utilization, bandwidth capacity planning, and tool utilization

* High-resolution counters that provide full 1-second snapshots of throughput with millisecond resolution

* High-precision timestamping for consistent metrics analysis and fastest transaction velocity

* Cost-effective TAP/SPAN aggregation and multi-speed tool distribution, and key brokering features in a 2-tier architecture with the existing NG-series.

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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 ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...

2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

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