Skip to main content

ExtraHop Introduces New Professional Services

ExtraHop announced new professional services for cloud migration, datacenter migration, and microsegmentation.

These fully-customizable offerings bring together the deep domain expertise of ExtraHop solutions architects with the real-time, multi-tier visibility delivered by the ExtraHop platform to help organizations streamline major IT transformation and security initiatives.

New professional services now offered by ExtraHop include:

- Cloud and Datacenter Migration: Cloud and datacenter migration experts map the entire IT infrastructure across on-premises, hybrid, and cloud environments to discover all assets, map dependencies, separate clients and servers, and categorize shared services like DNS and Active Directory. Based on this comprehensive, up-to-the-minute understanding of the complete environment, ExtraHop experts build a comprehensive plan, including move groups and migration order, to ensure seamless migration.

- Microsegmentation: Leveraging the automatic device discovery and mapping capabilities of the ExtraHop platform, ExtraHop Solutions Architects work with internal teams to develop and implement a segmentation strategy that takes into account industry-specific considerations, such as medical devices in healthcare and PCI compliance in retail. ExtraHop takes a vendor-agnostic approach that fits with the network virtualization technology selected by the customer, and delivers a comprehensive view of every network-connected device, its communications, and a plan for how to best segment its traffic.

- Application Mapping: Leverage ExtraHop IT analytics to observe all interactions between IT systems including asset discovery, dependency mapping, and identification of core dependencies and shared services.

"In our experience, even organizations with a lot of confidence in their application inventories generally only believe they have 80 percent visibility. When we actually do the mapping, we find that it's more often only about 20 percent," said Eric Thomas, Director of Professional Services at ExtraHop. "When it comes to initiatives like migration and microsegmentation, a complete inventory is absolutely mission critical. With ExtraHop technology and best practices, our experts can help customers understand critical dependencies to support smooth transformations. As a result, IT teams can stay focused on continuous improvement and innovation."

In addition to these specialized projects, ExtraHop offers implementation and integration services to configure the ExtraHop platform to a company's unique needs and build a strong foundation for success. Experts use the Open Data Stream and Open Data Context API to integrate the ExtraHop platform seamlessly with IT and security platforms such as ServiceNow, threat intelligence, and SIEM platforms.

The Latest

In the world of digital-first business, there is no tolerance for service outages. Businesses know that outages are the quickest way to lose money and customers. For smaller organizations, unplanned downtime could even force the business to close ... A new study from PagerDuty, The State of AI-First Operations, reveals that companies actively incorporating AI into operations now view operational resilience as a growth driver rather than a cost center. But how are they achieving it? ...

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 ...

ExtraHop Introduces New Professional Services

ExtraHop announced new professional services for cloud migration, datacenter migration, and microsegmentation.

These fully-customizable offerings bring together the deep domain expertise of ExtraHop solutions architects with the real-time, multi-tier visibility delivered by the ExtraHop platform to help organizations streamline major IT transformation and security initiatives.

New professional services now offered by ExtraHop include:

- Cloud and Datacenter Migration: Cloud and datacenter migration experts map the entire IT infrastructure across on-premises, hybrid, and cloud environments to discover all assets, map dependencies, separate clients and servers, and categorize shared services like DNS and Active Directory. Based on this comprehensive, up-to-the-minute understanding of the complete environment, ExtraHop experts build a comprehensive plan, including move groups and migration order, to ensure seamless migration.

- Microsegmentation: Leveraging the automatic device discovery and mapping capabilities of the ExtraHop platform, ExtraHop Solutions Architects work with internal teams to develop and implement a segmentation strategy that takes into account industry-specific considerations, such as medical devices in healthcare and PCI compliance in retail. ExtraHop takes a vendor-agnostic approach that fits with the network virtualization technology selected by the customer, and delivers a comprehensive view of every network-connected device, its communications, and a plan for how to best segment its traffic.

- Application Mapping: Leverage ExtraHop IT analytics to observe all interactions between IT systems including asset discovery, dependency mapping, and identification of core dependencies and shared services.

"In our experience, even organizations with a lot of confidence in their application inventories generally only believe they have 80 percent visibility. When we actually do the mapping, we find that it's more often only about 20 percent," said Eric Thomas, Director of Professional Services at ExtraHop. "When it comes to initiatives like migration and microsegmentation, a complete inventory is absolutely mission critical. With ExtraHop technology and best practices, our experts can help customers understand critical dependencies to support smooth transformations. As a result, IT teams can stay focused on continuous improvement and innovation."

In addition to these specialized projects, ExtraHop offers implementation and integration services to configure the ExtraHop platform to a company's unique needs and build a strong foundation for success. Experts use the Open Data Stream and Open Data Context API to integrate the ExtraHop platform seamlessly with IT and security platforms such as ServiceNow, threat intelligence, and SIEM platforms.

The Latest

In the world of digital-first business, there is no tolerance for service outages. Businesses know that outages are the quickest way to lose money and customers. For smaller organizations, unplanned downtime could even force the business to close ... A new study from PagerDuty, The State of AI-First Operations, reveals that companies actively incorporating AI into operations now view operational resilience as a growth driver rather than a cost center. But how are they achieving it? ...

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 ...