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Understanding the Plight of Today's IT Pro

Sean Sebring
SolarWinds

On September 16, the world celebrated the 10th annual IT Pro Day, giving companies a chance to laud the professionals who serve as the backbone to almost every successful business across the globe. Despite the growing importance of their roles, many IT pros still work in the background and often go underappreciated.

In our most recent survey, IT pros provided insight into some of the less desirable portions of their job. They discussed their most annoying buzzwords, IT "crime scenes," and things they wish their non-IT coworkers understood. Most importantly, they provided a glimpse into how companies can support IT pros and make their lives just a bit easier.

Annoying IT Buzzwords

The tech world is filled with people that use buzzwords they don't understand. Oftentimes, it is the IT experts that are left to decipher unclear interpretations of evolving technical terminology. For example, if an executive says they want to "implement AI," the IT pro is left to figure out how that translates to execution throughout the organization.

The survey outlined several buzzwords that IT pros find cringeworthy. Almost 1 in 3 pointed to "AI" as a frustrating buzzword. Respondents also cited "digital transformation" (15.3%) and "seamless integration" (13%) as words that get on their nerves.

A smaller amount (8.5%) of respondents struggled with the widespread use of "blockchain," especially since it is often used to discuss initiatives that don't need blockchain. "Agile" and "Innovative," which are great but often over used terms,  also made the list.

Frustrating "IT Crime Scenes"

IT pros also discussed the most common "IT crime scenes," or incidents, they see in their daily work. Nearly 1 in 3 (32.5%) of professionals cited "user error." This means many IT pros are faced with incidents simply because a colleague made a mistake. The next two crime scenes types were "not logging a ticket" at 19.9% and "clicking on suspicious links" at 13.7%. While general user error and not logging a ticket can be frustrating, IT pros would likely admit they spend hours trying to dissuade their coworkers from clicking on suspicious links. The ramifications could range anywhere from leaked information to dangerous ransomware. Other buzzwords that drive IT pros up a wall include common phrases. The top three were "I didn't touch anything" at 19%, "You're good with computers, right?" at 18.5%, and "The Wi-Fi's broken" at 18.3%. Each of these phrases usually occur during troubleshooting experiences that started because of "user error."

What IT Professionals Want Others to Understand

The nature of an IT professional's role can mean placing services tickets above other responsibilities, which drives misunderstandings of their day-to-day work. That context is the backdrop to what they wish their co-workers understood better. The top three were:

  • "People only notice us when something explodes" — 30.7%
  • "We juggle requests from every department—you're not the only one" — 28.4%
  • "Turning it off and on again isn't magic—it's science" — 22.9%

Responses like this point to the heavy demands on IT teams. Simultaneously, they suggest why it's important for coworkers to regularly engage with their IT team members to develop a better understanding of their role.

Supporting and Appreciating Your IT Pros

While the survey illuminated some of the unseen struggles IT pros face, it also offered them a chance to point to a few things that could make their job easier. The most popular answer, unsurprisingly, was "an unlimited IT budget." As organizations become more digitally dependent, many IT teams are faced with leaner budgets and forced to do more with less.

"An actual heart felt thank you" was next. Even though IT is a behind-the-scenes job, gratitude towards IT teams should be often and loud. The third was "waking up to zero urgent alerts." Many IT leaders would like to come into work and not feel like they're constantly being asked to put out a fire (or, as in most cases, what someone thinks is a fire.)

As our organizations lean more into AI, hybrid cloud, and virtualization technology, let's learn to better appreciate the people that make this possible. We can start doing that by following proper IT service procedures, paying attention during trainings, and remembering to say a simple "Thank You!"

Sean Sebring is Solutions Engineering Manager at SolarWinds

Hot Topics

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Ask most IT leaders about their biggest concern with AI and you'll hear the same answer: hallucinations ... Today, however, the conversation has shifted ... As organizations move beyond chatbots and experiments, they are increasingly deploying AI agents that perform multi-step tasks. These systems retrieve documents, query databases, call APIs, generate reports, write code, and make recommendations. The issue is not whether the model can reason. The issue is whether the organization can see, verify, and govern the decisions being made along the way ...

While organizations want to take control of their telemetry, building telemetry pipelines from scratch can be a very daunting, complicated task, even when leveraging open-source standards like OpenTelemetry. It requires specialized knowledge across distributed systems, data engineering, and security. This fragmented approach across systems causes higher operational costs; it puts a strain on resources and reduces efficiency as teams have to work with different interfaces and processes ...

For decades, enterprise networks were designed around a simple assumption: work happened inside the office. Applications lived in centralized data centers, employees connected through internal infrastructure, and security focused on protecting the perimeter that surrounded everything ... But the way organizations operate today bears little resemblance to that environment. Cloud platforms host critical applications, employees connect from homes and airports as often as they do from offices, and partners collaborate through shared systems that exist far beyond corporate walls. In short, the corporate network no longer resembles the environment it was designed to protect ...

As an analyst who researches how IT organizations design, build, and operate their networks, I find that network data is a constant source of pain. Network teams struggle with data quality, fragmentation, authority, access, and trust. And these issues undermine everything they try to do. Here are the numbers: Only 45% of network teams are completely confident in the accuracy of their network source of truth, which documents the intent of their network ...

The 2026 Global Data Center Survey from Uptime Institute reveals an industry navigating workforce constraints, escalating outage expenses, even as rising costs remain the top concern for management teams ...

The next observability gap may not be in the code. It may be under the rack. That sounds strange until you think about how AI incidents actually feel in the middle of an investigation ... The application dashboard may be accurate. It may also be stopping at the wrong boundary. AI systems depend on software, but they also depend on a dense physical stack: racks, power paths, thermal margin, maintenance activity and, in many environments, liquid cooling. Those physical dependencies can change slowly before they look like a software incident ...

Certificate expiration is the rare outage you can see coming. Every TLS certificate carries the date it stops working, so the moment it will begin breaking connections is knowable in advance. That's what makes an expired certificate such a frustrating way to lose a service. What's changing now is how often that date comes around ...

Enterprises operate different combinations of workloads across cloud, hybrid and multicloud environments. For business-critical workloads, teams need to consider monitoring and observability early so they can detect health issues, investigate failures, and understand operational impact. Organizations place workloads on cloud platforms based on a combination of technical requirements, economics, existing dependencies, organizational standards, and business priorities. Their monitoring priorities therefore depend on what they operate and where those systems run. Those priorities will not look the same for every organization ...

Top-performing businesses prioritize data-driven decision making, enabling leaders to move from intuition and gut feel towards evidence-based judgment. But that judgment is only sound when the data underpinning decisions is accurate. With incident management, data accuracy is particularly important. Long-term revenue, customer trust, and operational stability depend on high-quality data that enables teams to quickly identify and address the root cause of major incidents. Against this backdrop, governance becomes a critical endeavor to ensure the right data drives the right action ...

In MEAN TIME TO INSIGHT Episode 26, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network compliance ... 

Understanding the Plight of Today's IT Pro

Sean Sebring
SolarWinds

On September 16, the world celebrated the 10th annual IT Pro Day, giving companies a chance to laud the professionals who serve as the backbone to almost every successful business across the globe. Despite the growing importance of their roles, many IT pros still work in the background and often go underappreciated.

In our most recent survey, IT pros provided insight into some of the less desirable portions of their job. They discussed their most annoying buzzwords, IT "crime scenes," and things they wish their non-IT coworkers understood. Most importantly, they provided a glimpse into how companies can support IT pros and make their lives just a bit easier.

Annoying IT Buzzwords

The tech world is filled with people that use buzzwords they don't understand. Oftentimes, it is the IT experts that are left to decipher unclear interpretations of evolving technical terminology. For example, if an executive says they want to "implement AI," the IT pro is left to figure out how that translates to execution throughout the organization.

The survey outlined several buzzwords that IT pros find cringeworthy. Almost 1 in 3 pointed to "AI" as a frustrating buzzword. Respondents also cited "digital transformation" (15.3%) and "seamless integration" (13%) as words that get on their nerves.

A smaller amount (8.5%) of respondents struggled with the widespread use of "blockchain," especially since it is often used to discuss initiatives that don't need blockchain. "Agile" and "Innovative," which are great but often over used terms,  also made the list.

Frustrating "IT Crime Scenes"

IT pros also discussed the most common "IT crime scenes," or incidents, they see in their daily work. Nearly 1 in 3 (32.5%) of professionals cited "user error." This means many IT pros are faced with incidents simply because a colleague made a mistake. The next two crime scenes types were "not logging a ticket" at 19.9% and "clicking on suspicious links" at 13.7%. While general user error and not logging a ticket can be frustrating, IT pros would likely admit they spend hours trying to dissuade their coworkers from clicking on suspicious links. The ramifications could range anywhere from leaked information to dangerous ransomware. Other buzzwords that drive IT pros up a wall include common phrases. The top three were "I didn't touch anything" at 19%, "You're good with computers, right?" at 18.5%, and "The Wi-Fi's broken" at 18.3%. Each of these phrases usually occur during troubleshooting experiences that started because of "user error."

What IT Professionals Want Others to Understand

The nature of an IT professional's role can mean placing services tickets above other responsibilities, which drives misunderstandings of their day-to-day work. That context is the backdrop to what they wish their co-workers understood better. The top three were:

  • "People only notice us when something explodes" — 30.7%
  • "We juggle requests from every department—you're not the only one" — 28.4%
  • "Turning it off and on again isn't magic—it's science" — 22.9%

Responses like this point to the heavy demands on IT teams. Simultaneously, they suggest why it's important for coworkers to regularly engage with their IT team members to develop a better understanding of their role.

Supporting and Appreciating Your IT Pros

While the survey illuminated some of the unseen struggles IT pros face, it also offered them a chance to point to a few things that could make their job easier. The most popular answer, unsurprisingly, was "an unlimited IT budget." As organizations become more digitally dependent, many IT teams are faced with leaner budgets and forced to do more with less.

"An actual heart felt thank you" was next. Even though IT is a behind-the-scenes job, gratitude towards IT teams should be often and loud. The third was "waking up to zero urgent alerts." Many IT leaders would like to come into work and not feel like they're constantly being asked to put out a fire (or, as in most cases, what someone thinks is a fire.)

As our organizations lean more into AI, hybrid cloud, and virtualization technology, let's learn to better appreciate the people that make this possible. We can start doing that by following proper IT service procedures, paying attention during trainings, and remembering to say a simple "Thank You!"

Sean Sebring is Solutions Engineering Manager at SolarWinds

Hot Topics

The Latest

Ask most IT leaders about their biggest concern with AI and you'll hear the same answer: hallucinations ... Today, however, the conversation has shifted ... As organizations move beyond chatbots and experiments, they are increasingly deploying AI agents that perform multi-step tasks. These systems retrieve documents, query databases, call APIs, generate reports, write code, and make recommendations. The issue is not whether the model can reason. The issue is whether the organization can see, verify, and govern the decisions being made along the way ...

While organizations want to take control of their telemetry, building telemetry pipelines from scratch can be a very daunting, complicated task, even when leveraging open-source standards like OpenTelemetry. It requires specialized knowledge across distributed systems, data engineering, and security. This fragmented approach across systems causes higher operational costs; it puts a strain on resources and reduces efficiency as teams have to work with different interfaces and processes ...

For decades, enterprise networks were designed around a simple assumption: work happened inside the office. Applications lived in centralized data centers, employees connected through internal infrastructure, and security focused on protecting the perimeter that surrounded everything ... But the way organizations operate today bears little resemblance to that environment. Cloud platforms host critical applications, employees connect from homes and airports as often as they do from offices, and partners collaborate through shared systems that exist far beyond corporate walls. In short, the corporate network no longer resembles the environment it was designed to protect ...

As an analyst who researches how IT organizations design, build, and operate their networks, I find that network data is a constant source of pain. Network teams struggle with data quality, fragmentation, authority, access, and trust. And these issues undermine everything they try to do. Here are the numbers: Only 45% of network teams are completely confident in the accuracy of their network source of truth, which documents the intent of their network ...

The 2026 Global Data Center Survey from Uptime Institute reveals an industry navigating workforce constraints, escalating outage expenses, even as rising costs remain the top concern for management teams ...

The next observability gap may not be in the code. It may be under the rack. That sounds strange until you think about how AI incidents actually feel in the middle of an investigation ... The application dashboard may be accurate. It may also be stopping at the wrong boundary. AI systems depend on software, but they also depend on a dense physical stack: racks, power paths, thermal margin, maintenance activity and, in many environments, liquid cooling. Those physical dependencies can change slowly before they look like a software incident ...

Certificate expiration is the rare outage you can see coming. Every TLS certificate carries the date it stops working, so the moment it will begin breaking connections is knowable in advance. That's what makes an expired certificate such a frustrating way to lose a service. What's changing now is how often that date comes around ...

Enterprises operate different combinations of workloads across cloud, hybrid and multicloud environments. For business-critical workloads, teams need to consider monitoring and observability early so they can detect health issues, investigate failures, and understand operational impact. Organizations place workloads on cloud platforms based on a combination of technical requirements, economics, existing dependencies, organizational standards, and business priorities. Their monitoring priorities therefore depend on what they operate and where those systems run. Those priorities will not look the same for every organization ...

Top-performing businesses prioritize data-driven decision making, enabling leaders to move from intuition and gut feel towards evidence-based judgment. But that judgment is only sound when the data underpinning decisions is accurate. With incident management, data accuracy is particularly important. Long-term revenue, customer trust, and operational stability depend on high-quality data that enables teams to quickly identify and address the root cause of major incidents. Against this backdrop, governance becomes a critical endeavor to ensure the right data drives the right action ...

In MEAN TIME TO INSIGHT Episode 26, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network compliance ...