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Network Instruments Introduces New Matrix Network Monitoring Switch

Network Instruments announced the Network Instruments Matrix Network Monitoring Switch (NMS), an appliance that allows network teams to optimize the flow of traffic from network links to critical performance and security monitoring devices.

Marking its first entry into the NMS market, the Matrix NMS allows medium- to large-size enterprises through Global 2,000 companies to maximize the life of monitoring tools, aggregate under-utilized links and more effectively handle increased network bandwidth loads.

The new product is scalable and easier-to-use than existing solutions and can be set up and running in just ten minutes.

“The Network Instruments Matrix NMS helps solve monitoring dilemmas faced by time- and cash-strapped IT departments trying to keep up with exploding network bandwidth demand and ever-changing IT environments,” said Charles Thompson, director of product strategy for Network Instruments. “The Matrix offers a simple, centralized approach to managing network connections and the flow of traffic to critical monitoring devices – it acts like a monitoring traffic cop. This unique method allows network managers to quickly set and change traffic policy in a couple of clicks, eliminating multiple configuration steps, such as having to separately configure the ingress point, egress points and filters. The end result is performing any task only takes seconds, freeing up time and keeping networks running smoothly.”

In addition to a streamlined configuration process, the Network Instruments Matrix NMS is different from existing NMS solutions due to its extensive number of included advanced features such as de-duplication, advanced filtering, packet trimming and flexible time-stamping, all contained in a single scalable solution.

Network Instruments Matrix NMS features include:

- All-in-one pricing: Complete traffic management and filtering offering advanced, customized features without additional charges or modules.

_ Simplified set-up and administration: Configuration within 10 minutes with simplified user interface and centralized traffic policy management.

- Pay-as-you-grow scalability: Users can activate only the ports needed to manage the current network environment and add more as they grow.

- Full-fledged third-party integration: Network teams can manage all aspects of Matrix with external tools via RESTful API.

“While there have been other NMS solutions on the market, Network Instruments saw this as an opportunity to bring what we do best to this product segment,” said Douglas Smith, president, CEO and co-founder of Network Instruments. “Our customers have complex jobs and an intricate system of tools to monitor their networking infrastructure. The Matrix is built upon our core expertise of designing purpose-built software and hardware for high-speed network analysis. Utilizing our deep IP experience, we’re able to incorporate high-end functionality and components into a custom hardware design rather than placing these features in software only, yielding a faster, more effective solution.”

The Matrix 1024 is available and shipping today. The 1U NMS appliance supports up to 24 ports for connecting and monitoring 1 gigabit (Gb) or 10Gb network links. Eight to 24 ports can be activated with the initial purchase. Increments of four ports can be activated as needed. For additional scalability, Matrix units can be daisy-chained to expand beyond 24 ports.

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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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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.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...

Network Instruments Introduces New Matrix Network Monitoring Switch

Network Instruments announced the Network Instruments Matrix Network Monitoring Switch (NMS), an appliance that allows network teams to optimize the flow of traffic from network links to critical performance and security monitoring devices.

Marking its first entry into the NMS market, the Matrix NMS allows medium- to large-size enterprises through Global 2,000 companies to maximize the life of monitoring tools, aggregate under-utilized links and more effectively handle increased network bandwidth loads.

The new product is scalable and easier-to-use than existing solutions and can be set up and running in just ten minutes.

“The Network Instruments Matrix NMS helps solve monitoring dilemmas faced by time- and cash-strapped IT departments trying to keep up with exploding network bandwidth demand and ever-changing IT environments,” said Charles Thompson, director of product strategy for Network Instruments. “The Matrix offers a simple, centralized approach to managing network connections and the flow of traffic to critical monitoring devices – it acts like a monitoring traffic cop. This unique method allows network managers to quickly set and change traffic policy in a couple of clicks, eliminating multiple configuration steps, such as having to separately configure the ingress point, egress points and filters. The end result is performing any task only takes seconds, freeing up time and keeping networks running smoothly.”

In addition to a streamlined configuration process, the Network Instruments Matrix NMS is different from existing NMS solutions due to its extensive number of included advanced features such as de-duplication, advanced filtering, packet trimming and flexible time-stamping, all contained in a single scalable solution.

Network Instruments Matrix NMS features include:

- All-in-one pricing: Complete traffic management and filtering offering advanced, customized features without additional charges or modules.

_ Simplified set-up and administration: Configuration within 10 minutes with simplified user interface and centralized traffic policy management.

- Pay-as-you-grow scalability: Users can activate only the ports needed to manage the current network environment and add more as they grow.

- Full-fledged third-party integration: Network teams can manage all aspects of Matrix with external tools via RESTful API.

“While there have been other NMS solutions on the market, Network Instruments saw this as an opportunity to bring what we do best to this product segment,” said Douglas Smith, president, CEO and co-founder of Network Instruments. “Our customers have complex jobs and an intricate system of tools to monitor their networking infrastructure. The Matrix is built upon our core expertise of designing purpose-built software and hardware for high-speed network analysis. Utilizing our deep IP experience, we’re able to incorporate high-end functionality and components into a custom hardware design rather than placing these features in software only, yielding a faster, more effective solution.”

The Matrix 1024 is available and shipping today. The 1U NMS appliance supports up to 24 ports for connecting and monitoring 1 gigabit (Gb) or 10Gb network links. Eight to 24 ports can be activated with the initial purchase. Increments of four ports can be activated as needed. For additional scalability, Matrix units can be daisy-chained to expand beyond 24 ports.

The Latest

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.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...