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7 Little-Known Facts About IT Pros

A glimpse into the life of an IT professional
Leon Adato

Managing an increasingly complex IT environment and a business landscape that's constantly evolving requires IT pros to work fearlessly and tirelessly to keep modern corporate enterprises running smoothly.

Results from SolarWinds' recent Little Known Facts survey find that, despite donating time for education and problem-solving for end-users, spending countless hours texting with their monitoring systems, and quelling security threats that would otherwise keep them awake at night, IT professionals agree that they tackle all of this and more because they love their jobs.

The survey results provide a glimpse into the often-overlooked aspects of IT pros and the jobs they do, and shed light on the ins and outs of life as an IT pro.

A comprehensive look at the findings show that:
 

IT pros extend beyond the call of duty to solve end-user and business problems

IT pros spend just over two-thirds of their time (65 percent) actually managing IT and IT-related services. What are they doing with the rest?

■ Educating business leaders and end users about IT/technology (18 percent).

■ Fixing office equipment that is NOT related to IT (nine percent).

■ Performing admin duties unrelated to IT (eight percent).
 

IT pros dedicate most of their problem-solving to senior executives

Of the 65 percent of time IT professionals spend on core IT responsibilities, nearly half of that time (47 percent) is dedicated to resolving technology issues from senior executives/chief officers.

■ Rounding out the top three users who take most of IT's time, 43 percent list finance/accounting/procurement as having the most technology issues that require an IT pro to solve, followed by sales/business development personnel at 39 percent.

■ Marketing and PR required the least support, at seven percent.
 

IT pros (at times) communicate with technology more than humans ...

In any given week, nearly one-third of IT pros surveyed spend more time communicating with their IT monitoring systems than people close to them: 30 percent say they receive even more texts from their IT monitoring systems (for example, system alerts) each week than they do from their friends/family/loved ones.
 

… but they want to connect on social media

LinkedIn is the preferred method to network and connect with peers, according to 57 percent of IT pros surveyed.

Nearly half of all IT professionals (45 percent) use Facebook as their preferred social media platform, followed by Twitter (29 percent) and Instagram (nine percent). Just three percent, however, feel compelled to share face-filtered selfies on Snapchat.
 

IT pros don't fear the machine

Despite industry hype that AI and machine learning are threatening their jobs, keeping their organizations secure is IT pros' greatest concern: 89 percent of IT professionals surveyed most fear a security breach. Just nine percent fear AI will take their jobs, a finding that is echoed by a recent McKinsey report on AI's nuances. 
 

IT pros want you to ask for help!

One in four IT pros surveyed agreed that when a user tries to fix their own problem, there is a two-to-one chance that they'll make the problem worse.
 

IT pros chronically overwork — but still love being an IT professional

91 percent of IT pros surveyed work overtime hours — and of those, 57 percent do so with no compensation for working overtime.

■ Over half of IT pros work at least 10 overtime hours per month, and one in five IT pros works 20 or more overtime hours per month.

■ Of the 44 percent who do receive compensation for working overtime, the majority receive something other than monetary compensation, such as comp days.

■ 94 percent of IT pros surveyed enjoy being an IT pro, and over half of all IT pros love what they do.

These little-known facts demonstrate how much IT pros do to keep businesses up and running, and how we as the end-user can (and should) do our best to support and appreciate them.

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.

7 Little-Known Facts About IT Pros

A glimpse into the life of an IT professional
Leon Adato

Managing an increasingly complex IT environment and a business landscape that's constantly evolving requires IT pros to work fearlessly and tirelessly to keep modern corporate enterprises running smoothly.

Results from SolarWinds' recent Little Known Facts survey find that, despite donating time for education and problem-solving for end-users, spending countless hours texting with their monitoring systems, and quelling security threats that would otherwise keep them awake at night, IT professionals agree that they tackle all of this and more because they love their jobs.

The survey results provide a glimpse into the often-overlooked aspects of IT pros and the jobs they do, and shed light on the ins and outs of life as an IT pro.

A comprehensive look at the findings show that:
 

IT pros extend beyond the call of duty to solve end-user and business problems

IT pros spend just over two-thirds of their time (65 percent) actually managing IT and IT-related services. What are they doing with the rest?

■ Educating business leaders and end users about IT/technology (18 percent).

■ Fixing office equipment that is NOT related to IT (nine percent).

■ Performing admin duties unrelated to IT (eight percent).
 

IT pros dedicate most of their problem-solving to senior executives

Of the 65 percent of time IT professionals spend on core IT responsibilities, nearly half of that time (47 percent) is dedicated to resolving technology issues from senior executives/chief officers.

■ Rounding out the top three users who take most of IT's time, 43 percent list finance/accounting/procurement as having the most technology issues that require an IT pro to solve, followed by sales/business development personnel at 39 percent.

■ Marketing and PR required the least support, at seven percent.
 

IT pros (at times) communicate with technology more than humans ...

In any given week, nearly one-third of IT pros surveyed spend more time communicating with their IT monitoring systems than people close to them: 30 percent say they receive even more texts from their IT monitoring systems (for example, system alerts) each week than they do from their friends/family/loved ones.
 

… but they want to connect on social media

LinkedIn is the preferred method to network and connect with peers, according to 57 percent of IT pros surveyed.

Nearly half of all IT professionals (45 percent) use Facebook as their preferred social media platform, followed by Twitter (29 percent) and Instagram (nine percent). Just three percent, however, feel compelled to share face-filtered selfies on Snapchat.
 

IT pros don't fear the machine

Despite industry hype that AI and machine learning are threatening their jobs, keeping their organizations secure is IT pros' greatest concern: 89 percent of IT professionals surveyed most fear a security breach. Just nine percent fear AI will take their jobs, a finding that is echoed by a recent McKinsey report on AI's nuances. 
 

IT pros want you to ask for help!

One in four IT pros surveyed agreed that when a user tries to fix their own problem, there is a two-to-one chance that they'll make the problem worse.
 

IT pros chronically overwork — but still love being an IT professional

91 percent of IT pros surveyed work overtime hours — and of those, 57 percent do so with no compensation for working overtime.

■ Over half of IT pros work at least 10 overtime hours per month, and one in five IT pros works 20 or more overtime hours per month.

■ Of the 44 percent who do receive compensation for working overtime, the majority receive something other than monetary compensation, such as comp days.

■ 94 percent of IT pros surveyed enjoy being an IT pro, and over half of all IT pros love what they do.

These little-known facts demonstrate how much IT pros do to keep businesses up and running, and how we as the end-user can (and should) do our best to support and appreciate them.

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.