Skip to main content

IT Solutions: Learning from the Past and Investing in the Future

Bart De Graaff
ngena

Disruption has become constant. From the pandemic to the war in Ukraine, supply chain shortages and inflation — the one thing that remains consistent for businesses is disruption.

Disruption is stressful and forces change. Businesses are connecting and collaborating differently. In order for businesses to continue smooth operations, IT teams must be equipped with new tools that simplify processes, supplies and minimize risk.

To better understand IT needs in the ever-changing workplace, ngena recently conducted a survey of over 375 IT teams. The key themes that surfaced in the findings include: the expediting of remote and hybrid work; the resulting pain points and worries brought forward by IT teams; reflections on how teams could have been better prepared, and how they plan to be ready for such changes in the future.

Looking Back 18-24 Months

The sudden transition to remote work was not something businesses and their IT teams were prepared for at the pandemic's onset. In fact, perhaps not surprisingly, 83% of IT team leaders and members noted feeling stress and anxiety over the change to hybrid or remote work; with 77% of IT teams expressing that they did not feel fully prepared overall for the change.

And the lack of preparedness brought unique challenges — lack of communication tools being the largest one. When the pandemic hit, employees communicated in-person and by email. When the in-person communications stopped, many businesses were not set up with tools like Slack and Teams that help facilitate ongoing remote communications. This was followed by issues tied to speed of remote deployments, and managing of key components including network security threats, networks overall and multiple endpoints.

Along with stress and anxiety, the dispersed workforce environment also caused respondents to report a 77% lack of visibility and a 71% lack of control of operations. Feeling out of control led IT teams to think about and look for new solutions to their connectivity issues.

When asked how their teams could have been better prepared for the swift change in the workplace, the top four responses were: better communication tools, stronger network security, stronger network connection and faster remote deployments.

Looking Forward in Preparation

Nobody knows what the future holds, or when things will change again. That's why it is important for IT teams to be prepared for it. It's concerning that while 52% of respondents feel confident in their company's IT preparedness for another major disruption, just under half (48%) classified themselves as not confident or only somewhat confident. Companies need to prioritize IT needs to make sure that if and when the next major disruption hits, solutions are in place to minimize damage.

IT teams believe that their biggest IT challenges over the next three to five years will be keeping up with existing technology, innovating new technology and addressing security and risk. When asked about how they plan to face these future challenges, 40% of respondents chose “secure connectivity as a service” as the number one solution they were exploring, a strong indicator for where the market may be trending.

If the pandemic has taught businesses and IT professionals anything, it's that response to change needs to happen quickly — 65% of IT teams are planning to implement new solutions within the next year.

A More Connected Future

The loss of visibility and control in the workplace left IT professionals feeling stress, anxiety and a lack of confidence in their ability to handle the next major disruption. IT leaders need to find solutions that will support them throughout the entire network lifecycle, from start to finish. Having everything available to them on one platform can help guide them through the next major disruption in the workplace.

Increased pressures to adapt to new circumstances paired with the importance of keeping everything running smoothly has created a need for new tools that simplify work processes and minimize risk. IT professionals are looking for solutions that can simplify the network while positioning their business for connectivity in the Cloud era.

The implementation of these new tools will help IT team members and companies as a whole reduce stress and anxiety when preparing for the inevitable unknown.

Bart De Graaff is CEO at ngena

The Latest

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.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...

IT Solutions: Learning from the Past and Investing in the Future

Bart De Graaff
ngena

Disruption has become constant. From the pandemic to the war in Ukraine, supply chain shortages and inflation — the one thing that remains consistent for businesses is disruption.

Disruption is stressful and forces change. Businesses are connecting and collaborating differently. In order for businesses to continue smooth operations, IT teams must be equipped with new tools that simplify processes, supplies and minimize risk.

To better understand IT needs in the ever-changing workplace, ngena recently conducted a survey of over 375 IT teams. The key themes that surfaced in the findings include: the expediting of remote and hybrid work; the resulting pain points and worries brought forward by IT teams; reflections on how teams could have been better prepared, and how they plan to be ready for such changes in the future.

Looking Back 18-24 Months

The sudden transition to remote work was not something businesses and their IT teams were prepared for at the pandemic's onset. In fact, perhaps not surprisingly, 83% of IT team leaders and members noted feeling stress and anxiety over the change to hybrid or remote work; with 77% of IT teams expressing that they did not feel fully prepared overall for the change.

And the lack of preparedness brought unique challenges — lack of communication tools being the largest one. When the pandemic hit, employees communicated in-person and by email. When the in-person communications stopped, many businesses were not set up with tools like Slack and Teams that help facilitate ongoing remote communications. This was followed by issues tied to speed of remote deployments, and managing of key components including network security threats, networks overall and multiple endpoints.

Along with stress and anxiety, the dispersed workforce environment also caused respondents to report a 77% lack of visibility and a 71% lack of control of operations. Feeling out of control led IT teams to think about and look for new solutions to their connectivity issues.

When asked how their teams could have been better prepared for the swift change in the workplace, the top four responses were: better communication tools, stronger network security, stronger network connection and faster remote deployments.

Looking Forward in Preparation

Nobody knows what the future holds, or when things will change again. That's why it is important for IT teams to be prepared for it. It's concerning that while 52% of respondents feel confident in their company's IT preparedness for another major disruption, just under half (48%) classified themselves as not confident or only somewhat confident. Companies need to prioritize IT needs to make sure that if and when the next major disruption hits, solutions are in place to minimize damage.

IT teams believe that their biggest IT challenges over the next three to five years will be keeping up with existing technology, innovating new technology and addressing security and risk. When asked about how they plan to face these future challenges, 40% of respondents chose “secure connectivity as a service” as the number one solution they were exploring, a strong indicator for where the market may be trending.

If the pandemic has taught businesses and IT professionals anything, it's that response to change needs to happen quickly — 65% of IT teams are planning to implement new solutions within the next year.

A More Connected Future

The loss of visibility and control in the workplace left IT professionals feeling stress, anxiety and a lack of confidence in their ability to handle the next major disruption. IT leaders need to find solutions that will support them throughout the entire network lifecycle, from start to finish. Having everything available to them on one platform can help guide them through the next major disruption in the workplace.

Increased pressures to adapt to new circumstances paired with the importance of keeping everything running smoothly has created a need for new tools that simplify work processes and minimize risk. IT professionals are looking for solutions that can simplify the network while positioning their business for connectivity in the Cloud era.

The implementation of these new tools will help IT team members and companies as a whole reduce stress and anxiety when preparing for the inevitable unknown.

Bart De Graaff is CEO at ngena

The Latest

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.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...