Skip to main content

Navigating the Hybrid Work Challenge for Network Users

Destiny Bertucci
Auvik

The widespread shift to hybrid and remote work since the pandemic has complicated job responsibilities for network administrators who face complex new challenges to deliver dependable connectivity and security for their far-flung users. The 9-to-5 office weekday has already become a distant memory for most employees, replaced by a changing landscape that blends formal office workplaces with home offices, hotels, and neighborhood cafés.

To gain better industry context about how IT organizations are addressing these challenges, Enterprise Management Associates (EMA) and Auvik conducted a recent survey of more than 350 IT professionals who support the networking requirements of employees that work from home. From the research findings, it seems clear that most network operations teams are still struggling to solve this issue.

In Episode 2 of the MEAN TIME TO INSIGHT Podcast, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA, discusses the network management impacts of remote work.


Virtually all IT organizations (96%) are already supporting hybrid workers, who now make up 30% of all employees. Based on these trendlines, nearly three-fourths of respondents (73%) reported an increase in their workloads following the shift from traditional work to hybrid work environments. These abrupt changes have created a tricky problem for IT teams because they no longer control all the network assets which employees need to access, but they still must provide a seamless user experience across all business operations. As a result, 87% of organizations have allocated budgets to update their network tools for remote and hybrid workers, but just 32% have reported being successful in their efforts.

These research findings reveal that the biggest barriers to the remote user experience include spotty service from home Wi-Fi setups, long physical distances from application servers, and poor quality from internet service providers. The two leading concerns for work-from-home employees involved their limited access to virtual private networks (VPNs) to establish digital connections between their computers and distant company servers, and recurring performance glitches with SaaS applications.

Rethinking Network Operations for Remote Troubleshooting

In this byzantine hybrid environment, most network automation tools are no longer adequate to perform the necessary steps for remote troubleshooting and remediation. More than three-fourths of organizations (76%) discovered a need to manage their network access policies across the patchwork of on-premises networks and remote users.

For all these reasons, 72% of organizations deployed network hardware to the homes of their remote staff. This included the installation of network security devices (63%) and improved Wi-Fi access points (54%). Furthermore, the increasing requirements to support hybrid office mobility caused 90% of organizations to upgrade their own internal Wi-Fi networks.

About half of all network operations teams (49%) also partnered with new tool vendors to help manage the network experience for remote workers. The most popular solutions included remote desktop access tools (81% of respondents), followed closely by endpoint monitoring tools (79%).

This sweeping move to a hybrid workforce is not just some lingering remnant from the pandemic – it is the undeniable future of work itself. The research findings indicate that network administrators and IT teams should take the time to do some self-reflection and understand their top priorities for overcoming these obstacles.

Businesses today must deliver the appropriate network tools and software to support their employees who choose to work from home, the office, or anywhere else for that matter. Making steady progress will require investments in secure solutions for remote network access, including integrated network security automation and centralized management consoles. By combining these important capabilities with modern observability tools, network admins can gain much greater visibility to monitor and manage network performance for the entire hybrid workforce, no matter where people are located. Navigating this ongoing challenge will require a steady hand on the wheel by IT leaders, but also an accurate roadmap to understand where they are coming from and where they still need to go.

Destiny Bertucci is Product Strategist at Auvik

Hot Topics

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.

Navigating the Hybrid Work Challenge for Network Users

Destiny Bertucci
Auvik

The widespread shift to hybrid and remote work since the pandemic has complicated job responsibilities for network administrators who face complex new challenges to deliver dependable connectivity and security for their far-flung users. The 9-to-5 office weekday has already become a distant memory for most employees, replaced by a changing landscape that blends formal office workplaces with home offices, hotels, and neighborhood cafés.

To gain better industry context about how IT organizations are addressing these challenges, Enterprise Management Associates (EMA) and Auvik conducted a recent survey of more than 350 IT professionals who support the networking requirements of employees that work from home. From the research findings, it seems clear that most network operations teams are still struggling to solve this issue.

In Episode 2 of the MEAN TIME TO INSIGHT Podcast, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA, discusses the network management impacts of remote work.


Virtually all IT organizations (96%) are already supporting hybrid workers, who now make up 30% of all employees. Based on these trendlines, nearly three-fourths of respondents (73%) reported an increase in their workloads following the shift from traditional work to hybrid work environments. These abrupt changes have created a tricky problem for IT teams because they no longer control all the network assets which employees need to access, but they still must provide a seamless user experience across all business operations. As a result, 87% of organizations have allocated budgets to update their network tools for remote and hybrid workers, but just 32% have reported being successful in their efforts.

These research findings reveal that the biggest barriers to the remote user experience include spotty service from home Wi-Fi setups, long physical distances from application servers, and poor quality from internet service providers. The two leading concerns for work-from-home employees involved their limited access to virtual private networks (VPNs) to establish digital connections between their computers and distant company servers, and recurring performance glitches with SaaS applications.

Rethinking Network Operations for Remote Troubleshooting

In this byzantine hybrid environment, most network automation tools are no longer adequate to perform the necessary steps for remote troubleshooting and remediation. More than three-fourths of organizations (76%) discovered a need to manage their network access policies across the patchwork of on-premises networks and remote users.

For all these reasons, 72% of organizations deployed network hardware to the homes of their remote staff. This included the installation of network security devices (63%) and improved Wi-Fi access points (54%). Furthermore, the increasing requirements to support hybrid office mobility caused 90% of organizations to upgrade their own internal Wi-Fi networks.

About half of all network operations teams (49%) also partnered with new tool vendors to help manage the network experience for remote workers. The most popular solutions included remote desktop access tools (81% of respondents), followed closely by endpoint monitoring tools (79%).

This sweeping move to a hybrid workforce is not just some lingering remnant from the pandemic – it is the undeniable future of work itself. The research findings indicate that network administrators and IT teams should take the time to do some self-reflection and understand their top priorities for overcoming these obstacles.

Businesses today must deliver the appropriate network tools and software to support their employees who choose to work from home, the office, or anywhere else for that matter. Making steady progress will require investments in secure solutions for remote network access, including integrated network security automation and centralized management consoles. By combining these important capabilities with modern observability tools, network admins can gain much greater visibility to monitor and manage network performance for the entire hybrid workforce, no matter where people are located. Navigating this ongoing challenge will require a steady hand on the wheel by IT leaders, but also an accurate roadmap to understand where they are coming from and where they still need to go.

Destiny Bertucci is Product Strategist at Auvik

Hot Topics

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.