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6 IT Predictions for 2016 from Extrahop

Erik Giesa

Based on insight from customers, partners, and industry analysts and insiders, ExtraHop expects to see the network emerge as a critical nexus of business over the next twelve months, with significant integration between network and security, demand for operational support of connected devices, and the ability to mine all data-in-motion for correlated, cross-tier and cross-team insights.

Leaders at ExtraHop offer the following predictions for IT in 2016:

1. The Network Administrator Transcends the Realm of the Network

"When server virtualization started to gain market traction, the role of the server admin went through a transformation, transitioning from physical to virtual server administration, and eventually leading orchestration and automation for enterprise IT. 2016 is the year that the network administrator role is going to see a similar transformation. Everything – all network, client, application, and business data – flows over the network, making it an incredibly powerful source of insight. As the keepers of this data flow, network admins have the opportunity to take on a broader, more strategic role in the enterprise."
Erik Giesa, SVP of Marketing and Business Development for ExtraHop

2. Network Monitoring and Security Architectures Converge over East-West Traffic

"As many organizations have learned the hard way over the past few years, securing the perimeter is not enough. Visibility into anomalous activity and potential threats inside the environment, all of the East-West traffic, is going to play a central role in security moving forward. To that end, 2016 will see the convergence of security and network monitoring. Security will no longer stand alone, but be integrated into infrastructure, optimization, and monitoring products."
Jesse Rothstein, Co-Founder and CEO at ExtraHop

3. Orchestration Vendors Achieve Differentiation Through Insight

"Orchestration platforms are at a crucial inflection point. Actioning capability has matured to the point that it is no longer a market differentiator. In the coming year, forward-thinking orchestration and automation vendors will shift their focus from invoking actions to the insights used to trigger those actions, and in the process move from a reactive stance to a proactive, smart approach."
Raja Mukerji, Co-Founder and President at ExtraHop

4. Monitoring-Aware Networks Come Online

"SDN has matured significantly over the past few years, and among our customers and others we're starting to see it gain real traction. The next evolution of SDN is monitoring-aware networks. As demand for greater visibility into these networks escalates, expect to see hardware-agnostic vendors build commodity capture interfaces directly into device firmwares, enabling much easier, more agile monitoring of these complex and dynamic architectures."
Eric Thomas, Director of Solutions Architecture at ExtraHop

5. Accelerating Cloud Adoption Drives Consolidation

"Market pressures that cloud computing has wrought on the industry will continue to impact entrenched IT vendors in 2016. The Dell acquisition of EMC is only the beginning. Expect to see other major enterprise IT players look to consolidation as the impacts of cloud reverberate through their business."
Brian Young is Sr. Director of Business Development for ExtraHop

6. Healthcare IT Zeroes in on IoT

"The healthcare industry has a vast number of connected devices, from insulin and drug pumps, to MRI machines, to tablet computers used by clinicians in patient care. While some of these devices are very sophisticated, others are still using protocols like Telnet. This, combined with the shear number of devices, means that traditional monitoring approaches like instrumentation, are untenable. In 2016, expect to see more budget dollars go to solutions that provide the visibility necessary to align IT and clinical operations in support of healthcare IoT."
John Matthews is CIO at ExtraHop

Erik Giesa is SVP of Marketing and Business Development for ExtraHop.

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Pilots are everywhere, stakeholders are seeking results, businesses are pushing for new tools, and IT teams are being asked to make AI secure, reliable, and useful at scale. But as organizations move from testing AI to operationalizing it, many are discovering that the biggest barrier is not the model, the use case, or even the budget. It is the file data foundation within ...

Fast or cheap? For most of my career in engineering, speed and quality sat on opposite ends of a seesaw. The "OR" in "fast or cheap" was non-negotiable. It was expected that pushing for faster releases meant that something in quality would give way. Tightening quality controls meant the schedule slipped. Every engineering leader I know has lived some version of that tradeoff ... The seesaw is starting to level out ...

I have been building enterprise software for more than 20 years ... One thing stays true across all of it: You do not find out your foundation is wrong during the crisis. You find out when the debt comes due. For a lot of organizations, that bill is arriving now. New research ... puts hard numbers on something practitioners have been sensing for a while. The telemetry problem isn't coming. It's already here ...

The rapid growth of AI workloads is pushing traditional log management approaches to their limits, according to The State of Log Management 2026 report from Dynatrace. Modern logs have become critical to understanding, validating, and securing AI-driven decisions, helping organizations ensure reliability, compliance, and performance at scale. However, the volume and complexity of AI telemetry are overwhelming legacy tools ...

For years, secure connectivity has relied on a familiar pattern: route traffic back to centralized gateways, inspect it, and then allow access. This model worked when applications lived in a handful of data centers and users were largely confined to offices. That model is now under strain. Applications are distributed across clouds, users connect from everywhere, and real-time workloads demand performance that centralized inspection points struggle to deliver. As traffic volumes grow and latency expectations shrink, routing everything through a small number of control points has become both a performance bottleneck and a resilience risk. The future of secure connectivity requires a different approach ...

The AI experimentation phase is over, and the private cloud is where enterprise AI workloads are being deployed for security and scale, according to Private Cloud Outlook 2026, a new report from Broadcom ... 2026 marks an acceleration into a full AI tipping point. The shift is being shaped by three forces — costs, complexity, and control — that public cloud environments are increasingly failing to address for production AI at scale. Key findings from the report include ...

44% of organizations have reported an outage in the past year tied to suppressed or ignored alerts, and 78% had at least one incident where no alert was fired at all ... Engineers learned about failures from customers. That gap between what our tools report and what our customers experience is the problem DevOps teams have been quietly solving with GenAI tooling, even as most enterprises continue to run their NOCs on manual alert triage ...

Cloud outages are usually described as technical failures. When a service goes down, a dependency breaks, or a region has issues, the focus immediately shifts to infrastructure. But if you look closely at how these incidents actually unfold, the root cause is rarely the technology itself. It is almost always tied to decisions made earlier, during design, implementation, or day-to-day operations. The system behaves the way it was built. The real question is how it was built ...

77% of leaders say their teams need AI skills urgently. 64% say their organization plans to train current employees rather than hire new ones. So far, so reasonable. The part that surprised me is who's been put in charge: 34% of those leaders say IT and engineering own the AI skills mandate. Learning and Development or HR own it at 7% of organizations. That's roughly five-to-one in favor of the people who understand the tools, over the people whose actual job is teaching adults how to learn new ones ...

In the ever-evolving digital landscape, enterprises are increasingly focused on enhancing their observability stacks to gain deeper insights into their IT environments. Observability has become a cornerstone of modern IT operations, enabling organizations to monitor, diagnose, and optimize their systems with unprecedented precision. However, a critical piece of the puzzle often goes unnoticed in this transformation: IBM i ...

6 IT Predictions for 2016 from Extrahop

Erik Giesa

Based on insight from customers, partners, and industry analysts and insiders, ExtraHop expects to see the network emerge as a critical nexus of business over the next twelve months, with significant integration between network and security, demand for operational support of connected devices, and the ability to mine all data-in-motion for correlated, cross-tier and cross-team insights.

Leaders at ExtraHop offer the following predictions for IT in 2016:

1. The Network Administrator Transcends the Realm of the Network

"When server virtualization started to gain market traction, the role of the server admin went through a transformation, transitioning from physical to virtual server administration, and eventually leading orchestration and automation for enterprise IT. 2016 is the year that the network administrator role is going to see a similar transformation. Everything – all network, client, application, and business data – flows over the network, making it an incredibly powerful source of insight. As the keepers of this data flow, network admins have the opportunity to take on a broader, more strategic role in the enterprise."
Erik Giesa, SVP of Marketing and Business Development for ExtraHop

2. Network Monitoring and Security Architectures Converge over East-West Traffic

"As many organizations have learned the hard way over the past few years, securing the perimeter is not enough. Visibility into anomalous activity and potential threats inside the environment, all of the East-West traffic, is going to play a central role in security moving forward. To that end, 2016 will see the convergence of security and network monitoring. Security will no longer stand alone, but be integrated into infrastructure, optimization, and monitoring products."
Jesse Rothstein, Co-Founder and CEO at ExtraHop

3. Orchestration Vendors Achieve Differentiation Through Insight

"Orchestration platforms are at a crucial inflection point. Actioning capability has matured to the point that it is no longer a market differentiator. In the coming year, forward-thinking orchestration and automation vendors will shift their focus from invoking actions to the insights used to trigger those actions, and in the process move from a reactive stance to a proactive, smart approach."
Raja Mukerji, Co-Founder and President at ExtraHop

4. Monitoring-Aware Networks Come Online

"SDN has matured significantly over the past few years, and among our customers and others we're starting to see it gain real traction. The next evolution of SDN is monitoring-aware networks. As demand for greater visibility into these networks escalates, expect to see hardware-agnostic vendors build commodity capture interfaces directly into device firmwares, enabling much easier, more agile monitoring of these complex and dynamic architectures."
Eric Thomas, Director of Solutions Architecture at ExtraHop

5. Accelerating Cloud Adoption Drives Consolidation

"Market pressures that cloud computing has wrought on the industry will continue to impact entrenched IT vendors in 2016. The Dell acquisition of EMC is only the beginning. Expect to see other major enterprise IT players look to consolidation as the impacts of cloud reverberate through their business."
Brian Young is Sr. Director of Business Development for ExtraHop

6. Healthcare IT Zeroes in on IoT

"The healthcare industry has a vast number of connected devices, from insulin and drug pumps, to MRI machines, to tablet computers used by clinicians in patient care. While some of these devices are very sophisticated, others are still using protocols like Telnet. This, combined with the shear number of devices, means that traditional monitoring approaches like instrumentation, are untenable. In 2016, expect to see more budget dollars go to solutions that provide the visibility necessary to align IT and clinical operations in support of healthcare IoT."
John Matthews is CIO at ExtraHop

Erik Giesa is SVP of Marketing and Business Development for ExtraHop.

Hot Topics

The Latest

Pilots are everywhere, stakeholders are seeking results, businesses are pushing for new tools, and IT teams are being asked to make AI secure, reliable, and useful at scale. But as organizations move from testing AI to operationalizing it, many are discovering that the biggest barrier is not the model, the use case, or even the budget. It is the file data foundation within ...

Fast or cheap? For most of my career in engineering, speed and quality sat on opposite ends of a seesaw. The "OR" in "fast or cheap" was non-negotiable. It was expected that pushing for faster releases meant that something in quality would give way. Tightening quality controls meant the schedule slipped. Every engineering leader I know has lived some version of that tradeoff ... The seesaw is starting to level out ...

I have been building enterprise software for more than 20 years ... One thing stays true across all of it: You do not find out your foundation is wrong during the crisis. You find out when the debt comes due. For a lot of organizations, that bill is arriving now. New research ... puts hard numbers on something practitioners have been sensing for a while. The telemetry problem isn't coming. It's already here ...

The rapid growth of AI workloads is pushing traditional log management approaches to their limits, according to The State of Log Management 2026 report from Dynatrace. Modern logs have become critical to understanding, validating, and securing AI-driven decisions, helping organizations ensure reliability, compliance, and performance at scale. However, the volume and complexity of AI telemetry are overwhelming legacy tools ...

For years, secure connectivity has relied on a familiar pattern: route traffic back to centralized gateways, inspect it, and then allow access. This model worked when applications lived in a handful of data centers and users were largely confined to offices. That model is now under strain. Applications are distributed across clouds, users connect from everywhere, and real-time workloads demand performance that centralized inspection points struggle to deliver. As traffic volumes grow and latency expectations shrink, routing everything through a small number of control points has become both a performance bottleneck and a resilience risk. The future of secure connectivity requires a different approach ...

The AI experimentation phase is over, and the private cloud is where enterprise AI workloads are being deployed for security and scale, according to Private Cloud Outlook 2026, a new report from Broadcom ... 2026 marks an acceleration into a full AI tipping point. The shift is being shaped by three forces — costs, complexity, and control — that public cloud environments are increasingly failing to address for production AI at scale. Key findings from the report include ...

44% of organizations have reported an outage in the past year tied to suppressed or ignored alerts, and 78% had at least one incident where no alert was fired at all ... Engineers learned about failures from customers. That gap between what our tools report and what our customers experience is the problem DevOps teams have been quietly solving with GenAI tooling, even as most enterprises continue to run their NOCs on manual alert triage ...

Cloud outages are usually described as technical failures. When a service goes down, a dependency breaks, or a region has issues, the focus immediately shifts to infrastructure. But if you look closely at how these incidents actually unfold, the root cause is rarely the technology itself. It is almost always tied to decisions made earlier, during design, implementation, or day-to-day operations. The system behaves the way it was built. The real question is how it was built ...

77% of leaders say their teams need AI skills urgently. 64% say their organization plans to train current employees rather than hire new ones. So far, so reasonable. The part that surprised me is who's been put in charge: 34% of those leaders say IT and engineering own the AI skills mandate. Learning and Development or HR own it at 7% of organizations. That's roughly five-to-one in favor of the people who understand the tools, over the people whose actual job is teaching adults how to learn new ones ...

In the ever-evolving digital landscape, enterprises are increasingly focused on enhancing their observability stacks to gain deeper insights into their IT environments. Observability has become a cornerstone of modern IT operations, enabling organizations to monitor, diagnose, and optimize their systems with unprecedented precision. However, a critical piece of the puzzle often goes unnoticed in this transformation: IBM i ...