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Endace Introduces 100G Network Monitoring System

Endace announced the launch of the EndaceAccess 100, a brand new 100 Gigabit Ethernet (100G) capable Network Visibility Headend.

With this system, organizations can get the network access that they need to monitor, analyze, protect and troubleshoot 100G network segments. Up until this point, 100G networks have been invisible to IT operations teams.

“Until today, there has been no way for organizations to get visibility into 100G network segments, which has slowed 100G adoption,” said Spencer Greene, senior vice president, product management and marketing at Endace. “The EndaceAccess 100 enables organizations to leverage their existing 10 Gbps capable tools in a 100G environment. Previously, when the world moved from 1 Gbps to 10 Gbps networking, the ability to leverage existing tools in this way proved to be a major advantage for organizations, and we expect this to be the case as organizations make the natural transition from 10 Gbps to 40G and 100G networking.”

The EndaceAccess 100 is a 100G and 40G capable headend system that leverages Endace’s world-famous 100 percent accurate DAG® technology. The system can be configured to support LAN or WAN protocols, making it practical for deployment in both the data center and WAN environments. EndaceAccess is powerful because it enables organizations to continue to use their existing 10 Gbps monitoring and security tools, which helps ease the transition from 10 Gbps to 100G.

“100G is growing in adoption, but remains the domain of large enterprises and carrier core networks; it will ultimately become approachable for smaller companies within data center deployments. As of today, there is no practical way for organizations seeking to deploy 100G to gain access to the network traffic for the purposes of network and/or network security monitoring,” said Jonah Kowall, research director at Gartner. “Additionally, the monitoring tools themselves cannot handle this level of traffic which is a critical shortcoming that will prevent the deployment of 100G technology within many organizations."

Like traditional monitoring switches, the EndaceAccess 100 headend receives high-speed network traffic from passive optical taps and distributes the traffic to multiple lower-speed ports, which can then be connected to scale-out clusters of monitoring tools. Unlike existing monitoring switches that receive 10 Gbps and distribute to multiple 1 Gbps or 10 Gbps capable destinations, the EndaceAccess 100 scales everything up by a factor of ten, receiving 100G or 40G inputs and distributing to multiple 10 Gbps destinations where the traffic can be analyzed.

The system provides support for two 100G or 40G monitoring ports, that are configured to capture traffic from both sides of a bidirectional link, in two rack-units. Traffic from each monitoring port is distributed in a flow-safe way across 12 ports of 10 Gbps, enabling the system to scale to support full line-rate 100G. The load-balancing algorithm used in EndaceAccess 100 enables captured traffic to be directed to specific egress ports by flow and guarantees 100 percent accuracy at 100G.

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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 ...

Endace Introduces 100G Network Monitoring System

Endace announced the launch of the EndaceAccess 100, a brand new 100 Gigabit Ethernet (100G) capable Network Visibility Headend.

With this system, organizations can get the network access that they need to monitor, analyze, protect and troubleshoot 100G network segments. Up until this point, 100G networks have been invisible to IT operations teams.

“Until today, there has been no way for organizations to get visibility into 100G network segments, which has slowed 100G adoption,” said Spencer Greene, senior vice president, product management and marketing at Endace. “The EndaceAccess 100 enables organizations to leverage their existing 10 Gbps capable tools in a 100G environment. Previously, when the world moved from 1 Gbps to 10 Gbps networking, the ability to leverage existing tools in this way proved to be a major advantage for organizations, and we expect this to be the case as organizations make the natural transition from 10 Gbps to 40G and 100G networking.”

The EndaceAccess 100 is a 100G and 40G capable headend system that leverages Endace’s world-famous 100 percent accurate DAG® technology. The system can be configured to support LAN or WAN protocols, making it practical for deployment in both the data center and WAN environments. EndaceAccess is powerful because it enables organizations to continue to use their existing 10 Gbps monitoring and security tools, which helps ease the transition from 10 Gbps to 100G.

“100G is growing in adoption, but remains the domain of large enterprises and carrier core networks; it will ultimately become approachable for smaller companies within data center deployments. As of today, there is no practical way for organizations seeking to deploy 100G to gain access to the network traffic for the purposes of network and/or network security monitoring,” said Jonah Kowall, research director at Gartner. “Additionally, the monitoring tools themselves cannot handle this level of traffic which is a critical shortcoming that will prevent the deployment of 100G technology within many organizations."

Like traditional monitoring switches, the EndaceAccess 100 headend receives high-speed network traffic from passive optical taps and distributes the traffic to multiple lower-speed ports, which can then be connected to scale-out clusters of monitoring tools. Unlike existing monitoring switches that receive 10 Gbps and distribute to multiple 1 Gbps or 10 Gbps capable destinations, the EndaceAccess 100 scales everything up by a factor of ten, receiving 100G or 40G inputs and distributing to multiple 10 Gbps destinations where the traffic can be analyzed.

The system provides support for two 100G or 40G monitoring ports, that are configured to capture traffic from both sides of a bidirectional link, in two rack-units. Traffic from each monitoring port is distributed in a flow-safe way across 12 ports of 10 Gbps, enabling the system to scale to support full line-rate 100G. The load-balancing algorithm used in EndaceAccess 100 enables captured traffic to be directed to specific egress ports by flow and guarantees 100 percent accuracy at 100G.

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 ...