Skip to main content

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

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 ...

Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...

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

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 ...

Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...