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ExtraHop Releases EH6100v

ExtraHop released the EH6100v, a virtual appliance delivering real-time wire data analysis at up to a sustained 10 Gbps for AWS cloud and VMware environments.

“Cloud and virtualization are not the future – they are today’s reality,” said Christian Renaud, Senior Analyst, Networking, at 451 Research. “According to a recent 451 survey, respondents expect that within the next two years, 76 percent of all of their applications will be deployed in either a private, hybrid, or public cloud. Despite this paradigm shift, monitoring and management technologies have been slow to keep pace with the new IT framework. With the EH6100v, ExtraHop has delivered what the industry has long needed – the capacity to monitor these cloud-based workloads at scale.”

With the ExtraHop 10 Gbps virtual appliance, enterprises have the speed and capacity they need to derive IT and business insights from wire data at scale in cloud and virtualized environments.

Key capabilities of the EH6100v include the following:

- Instantaneous insight delivered by real-time wire data analysis at up to a sustained 10 Gbps – the equivalent of approximately 108 terabytes of data per day.

- The ability to transform up to one million packets per second into structured wire data and then analyze and visualize all transactions using the ExtraHop real-time stream processor.

- SSL traffic analysis at a sustained bulk decryption rate of 3.3 Gbps with the capability to process up to 4,130 handshakes per second with 2048-bit RSA keys.

- Analysis of up to 530,000 HTTP transactions per second.

“The cloud is no longer an aspirational concept in enterprise IT. Legacy monitoring tools are still trapped in the past,” said Raja Mukerji, President and Co-Founder, ExtraHop. “ExtraHop is dedicated to providing unmatched IT visibility at scale for the next generation of enterprise IT environments, regardless of whether they exist on-premises or in the cloud. With the EH6100v, we now provide the most scalable virtual appliance for wire data analysis, delivering a level of performance unmatched even by other vendors’ hardware.”

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ExtraHop Releases EH6100v

ExtraHop released the EH6100v, a virtual appliance delivering real-time wire data analysis at up to a sustained 10 Gbps for AWS cloud and VMware environments.

“Cloud and virtualization are not the future – they are today’s reality,” said Christian Renaud, Senior Analyst, Networking, at 451 Research. “According to a recent 451 survey, respondents expect that within the next two years, 76 percent of all of their applications will be deployed in either a private, hybrid, or public cloud. Despite this paradigm shift, monitoring and management technologies have been slow to keep pace with the new IT framework. With the EH6100v, ExtraHop has delivered what the industry has long needed – the capacity to monitor these cloud-based workloads at scale.”

With the ExtraHop 10 Gbps virtual appliance, enterprises have the speed and capacity they need to derive IT and business insights from wire data at scale in cloud and virtualized environments.

Key capabilities of the EH6100v include the following:

- Instantaneous insight delivered by real-time wire data analysis at up to a sustained 10 Gbps – the equivalent of approximately 108 terabytes of data per day.

- The ability to transform up to one million packets per second into structured wire data and then analyze and visualize all transactions using the ExtraHop real-time stream processor.

- SSL traffic analysis at a sustained bulk decryption rate of 3.3 Gbps with the capability to process up to 4,130 handshakes per second with 2048-bit RSA keys.

- Analysis of up to 530,000 HTTP transactions per second.

“The cloud is no longer an aspirational concept in enterprise IT. Legacy monitoring tools are still trapped in the past,” said Raja Mukerji, President and Co-Founder, ExtraHop. “ExtraHop is dedicated to providing unmatched IT visibility at scale for the next generation of enterprise IT environments, regardless of whether they exist on-premises or in the cloud. With the EH6100v, we now provide the most scalable virtual appliance for wire data analysis, delivering a level of performance unmatched even by other vendors’ hardware.”

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.