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Emulex Unveils Next Generation NPM Platform

Emulex Corporation announced the next generation of its network monitoring and visibility portfolio, architected to support the demands and complexity of today’s 10Gb, 40Gb and 100Gb Ethernet (100GbE)-based networks.

The latest EndaceProbe Intelligent Network Recorders (INRs) and EndaceVision 6.0 Network Visibility Software introduces new capabilities to manage and make sense of the massive network traffic volumes created by continual business demands. The new EndaceProbe INR and EndaceVision reduce the costs and effort associated with managing physical, virtual and software-defined networks by enabling network and security professionals to rapidly capture, analyze and diagnose potential and actual network and security issues in real-time. The new platform provides the ability to view network incidents with microsecond-level accuracy.

“As 10GbE, 40GbE and 100GbE networks become more prevalent and complex with hybrid cloud deployments, software-defined networking and multiple layers of virtualization, our customers trust EndaceProbe INRs to provide a deep and consumable understanding of how each layer interacts and affects their network performance and availability, as well as enabling the enterprise to track and manage security incidents and issues by having real-time packet level visibility into all incidents and activities,” said Ali Hedayati, SVP and GM, Network Visibility Products, Emulex. “Our next generation network visibility platforms provide a dramatic step forward in network visibility and monitoring and our industry-leading ability to visualize the network and security events which enable predictable application service level agreements and security management.”

Next generation EndaceProbe INRs have been re-architected to meet the performance, reliability, processing power, and open architecture needed to integrate with today’s network and application management solutions. When combined with EndaceVision 6.0, EndaceProbe INR network visibility appliances allow network operations teams to quickly and easily identify issues, and optionally pass the relevant data to third party tools. This dramatically improves root cause isolation and mean time-to-resolution (MTTR).

New EndaceProbe INRs include the following new or enhanced features and capabilities:

· Integrated Virtual Machines (VMs): EndaceProbe INRs include a hypervisor, which allows analysis management, and security applications to be hosted in a VM and have direct access to packet data at the point of capture. Since multi-gigabit capture files can be large and cumbersome to send to analysis applications, the ability to load third party software directly onto the EndaceProbe INRs enables analysis software to be quickly and easily added or moved to the data instead of moving the data to the software.

· 10GbE Write To Disk Performance and Increased Compute Power: EndaceProbe 4104 and 8004 INRs provide 10GbE write to disk rates, minimizing total cost of ownership while providing the industry’s only 100 percent accurate packet capture on today’s multi-10GbE networks. EndaceProbe INRs also include increased compute power and memory that reduces the hardware footprint needed to support the analysis of multi-10GbE networks.

· Flexible Deployment Options: The EndaceProbe INRs include three new options; the 4104, 4004, and 8004. The EndaceProbe 4104 INR - with highly reliable solid state disk (SSD) primary storage - is ideal for on-demand recording across multiple 10GbE networks or wherever physical access is a challenge. The EndaceProbe 4004 INR is a cost effective 1RU appliance for lower packet rate multi-1GbE or 10GbE network links, ideal for remote locations. The EndaceProbe 8004 INR is a 2RU appliance providing ultra-fast, highly reliable disk storage for packet capture on 10GbE or higher networks. It is ideally suited for the core, distribution, and access layers within data centers and large campus environments for continuous high-speed recording and fast retrieval during traffic analysis.

EndaceVision 6.0 is a powerful, purpose-built, web-based network history visualization application for high-speed networks that comes bundled with all EndaceProbe INRs. Using EndaceVision, network operations, security, or incident response professionals can navigate quickly through network history data – both packets and metadata – to identify the cause of network issues and take appropriate action – without guesswork.

EndaceVision includes the following new features and capabilities:

· Endace MicroVisionTM Support: Endace MicroVision gives network managers microsecond-level views into the captured packet data, allowing users to troubleshoot disruptive high speed network issues with more detailed and accurate inspection of shorter time periods. For 10GbE, the time to transmit each packet of information has decreased by 10x as the amount of traffic has increased by 10x, exponentially increasing the amount of data for an IT analyst to cull through when troubleshooting a network or application issue. Endace MicroVision allows analysts to focus on the problem in small timeframes, reducing the distraction of additional data and greatly enhancing MTTR (watch this video to learn more).

· Dynamic Network Visualizations: EndaceVision now includes the TCP Flags visualization and client and server breakdowns, leveraging TCP’s intrinsic statefulness and explicit signaling to assist in monitoring and debugging transport services across the network (watch this video to learn more).

· SCADA Detection and Decoding: EndaceVision 6.0 addresses the needs of the utilities industry by including automatic ICS/SCADA protocol detection and visualization, plus full packet-level decodes in the web-based EndacePacketsTM viewer, enabling analysts to ensure the stability and security of utility network traffic.

“As 10GbE networks continue to proliferate, network managers need microsecond-level granularity to sift through the data needed to monitor and troubleshoot their high-speed networks as quickly as possible,” said Shamus McGillicuddy, Senior Analyst, Network Management, Enterprise Management Associates. “The new capabilities in the Emulex network visibility portfolio will give customers flexible options and tools that will speed resolution of critical network issues, and enable them to provide a world-class experience.”

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In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

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Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

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In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

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Emulex Unveils Next Generation NPM Platform

Emulex Corporation announced the next generation of its network monitoring and visibility portfolio, architected to support the demands and complexity of today’s 10Gb, 40Gb and 100Gb Ethernet (100GbE)-based networks.

The latest EndaceProbe Intelligent Network Recorders (INRs) and EndaceVision 6.0 Network Visibility Software introduces new capabilities to manage and make sense of the massive network traffic volumes created by continual business demands. The new EndaceProbe INR and EndaceVision reduce the costs and effort associated with managing physical, virtual and software-defined networks by enabling network and security professionals to rapidly capture, analyze and diagnose potential and actual network and security issues in real-time. The new platform provides the ability to view network incidents with microsecond-level accuracy.

“As 10GbE, 40GbE and 100GbE networks become more prevalent and complex with hybrid cloud deployments, software-defined networking and multiple layers of virtualization, our customers trust EndaceProbe INRs to provide a deep and consumable understanding of how each layer interacts and affects their network performance and availability, as well as enabling the enterprise to track and manage security incidents and issues by having real-time packet level visibility into all incidents and activities,” said Ali Hedayati, SVP and GM, Network Visibility Products, Emulex. “Our next generation network visibility platforms provide a dramatic step forward in network visibility and monitoring and our industry-leading ability to visualize the network and security events which enable predictable application service level agreements and security management.”

Next generation EndaceProbe INRs have been re-architected to meet the performance, reliability, processing power, and open architecture needed to integrate with today’s network and application management solutions. When combined with EndaceVision 6.0, EndaceProbe INR network visibility appliances allow network operations teams to quickly and easily identify issues, and optionally pass the relevant data to third party tools. This dramatically improves root cause isolation and mean time-to-resolution (MTTR).

New EndaceProbe INRs include the following new or enhanced features and capabilities:

· Integrated Virtual Machines (VMs): EndaceProbe INRs include a hypervisor, which allows analysis management, and security applications to be hosted in a VM and have direct access to packet data at the point of capture. Since multi-gigabit capture files can be large and cumbersome to send to analysis applications, the ability to load third party software directly onto the EndaceProbe INRs enables analysis software to be quickly and easily added or moved to the data instead of moving the data to the software.

· 10GbE Write To Disk Performance and Increased Compute Power: EndaceProbe 4104 and 8004 INRs provide 10GbE write to disk rates, minimizing total cost of ownership while providing the industry’s only 100 percent accurate packet capture on today’s multi-10GbE networks. EndaceProbe INRs also include increased compute power and memory that reduces the hardware footprint needed to support the analysis of multi-10GbE networks.

· Flexible Deployment Options: The EndaceProbe INRs include three new options; the 4104, 4004, and 8004. The EndaceProbe 4104 INR - with highly reliable solid state disk (SSD) primary storage - is ideal for on-demand recording across multiple 10GbE networks or wherever physical access is a challenge. The EndaceProbe 4004 INR is a cost effective 1RU appliance for lower packet rate multi-1GbE or 10GbE network links, ideal for remote locations. The EndaceProbe 8004 INR is a 2RU appliance providing ultra-fast, highly reliable disk storage for packet capture on 10GbE or higher networks. It is ideally suited for the core, distribution, and access layers within data centers and large campus environments for continuous high-speed recording and fast retrieval during traffic analysis.

EndaceVision 6.0 is a powerful, purpose-built, web-based network history visualization application for high-speed networks that comes bundled with all EndaceProbe INRs. Using EndaceVision, network operations, security, or incident response professionals can navigate quickly through network history data – both packets and metadata – to identify the cause of network issues and take appropriate action – without guesswork.

EndaceVision includes the following new features and capabilities:

· Endace MicroVisionTM Support: Endace MicroVision gives network managers microsecond-level views into the captured packet data, allowing users to troubleshoot disruptive high speed network issues with more detailed and accurate inspection of shorter time periods. For 10GbE, the time to transmit each packet of information has decreased by 10x as the amount of traffic has increased by 10x, exponentially increasing the amount of data for an IT analyst to cull through when troubleshooting a network or application issue. Endace MicroVision allows analysts to focus on the problem in small timeframes, reducing the distraction of additional data and greatly enhancing MTTR (watch this video to learn more).

· Dynamic Network Visualizations: EndaceVision now includes the TCP Flags visualization and client and server breakdowns, leveraging TCP’s intrinsic statefulness and explicit signaling to assist in monitoring and debugging transport services across the network (watch this video to learn more).

· SCADA Detection and Decoding: EndaceVision 6.0 addresses the needs of the utilities industry by including automatic ICS/SCADA protocol detection and visualization, plus full packet-level decodes in the web-based EndacePacketsTM viewer, enabling analysts to ensure the stability and security of utility network traffic.

“As 10GbE networks continue to proliferate, network managers need microsecond-level granularity to sift through the data needed to monitor and troubleshoot their high-speed networks as quickly as possible,” said Shamus McGillicuddy, Senior Analyst, Network Management, Enterprise Management Associates. “The new capabilities in the Emulex network visibility portfolio will give customers flexible options and tools that will speed resolution of critical network issues, and enable them to provide a world-class experience.”

The Latest

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.