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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

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Today's modern systems are not what they once were. Organizations now rely on distributed systems, event-driven workflows, hybrid and multi-cloud environments and continuous delivery pipelines. While each adds flexibility, it also introduces new, often invisible failures. Development speed is no longer the primary bottleneck of innovation. Reliability is ...

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

As AI adoption accelerates, operational complexity — not model intelligence — is becoming the primary barrier to reliable AI at scale, according to the State of AI Engineering 2026 from Datadog ... The report highlights a compounding complexity challenge as AI systems scale ... Around 5% of AI model requests fail in production, with nearly 60% of those failures caused by capacity limits ...

For years, production operations teams have treated alert fatigue as a quality-of-life problem: something that makes on-call rotations miserable but isn't considered a direct contributor to outages. That framing doesn't capture how these systems fail, and we now have data to show why. More importantly, it's now clear alert fatigue is a symptom of a deeper issue: production systems have outgrown the current operational approaches ...

I was on a customer call last fall when an enterprise architect said something I haven't been able to shake. Her team had just spent four months trying to swap one AI vendor for another. The original plan said three weeks. "We didn't switch vendors," she told me. "We rebuilt half our integrations and discovered what we'd actually been depending on." Most enterprise leaders don't expect that to be the experience ...

Ask any senior SRE or platform engineer what keeps them up at night, and the answer probably isn't the monitoring tool — it's the data feeding it. The proliferation of APM, observability, and AIOps platforms has created a telemetry sprawl problem that most teams manage reactively rather than architect proactively. Metrics are going to one platform. Traces routed somewhere else. Logs duplicated across multiple backends because nobody wants to be caught without them when something breaks. Every redundant stream costs money ...

80% of respondents agree that the IT role is shifting from operators to orchestrators, according to the 2026 IT Trends Report: The Human Side of Autonomous IT from SolarWinds ...

40% of organizations deploying AI will implement dedicated AI observability tools by 2028 to monitor model performance, bias and outputs, according to Gartner ...

Until AI-powered engineering tools have live visibility of how code behaves at runtime, they cannot be trusted to autonomously ensure reliable systems, according to the State of AI-Powered Engineering Report 2026 report from Lightrun. The report reveals that a major volume of manual work is required when AI-generated code is deployed: 43% of AI-generated code requires manual debugging in production, even after passing QA or staging tests. Furthermore, an average of three manual redeploy cycles are required to verify a single AI-suggested code fix in production ...

Many organizations describe AI as strategic, but they do not manage it strategically. When AI plans are disconnected from strategy, detached from organizational learning, and protected from serious assumptions testing, the problem is no longer technical immaturity; it is a failure of management discipline ... Executives too often tell organizations to "use AI" before they define what AI is supposed to change. The problem deepens in organizations where strategy isn't well articulated in the first place ...

Across the enterprise technology landscape, a quiet crisis is playing out. Organizations have run hundreds, sometimes thousands, of generative AI pilots. Leadership has celebrated the proof of concept (POCs) ... Industry experience points to a sobering reality: only 5-10% of AI POCs that progress to the pilot stage successfully reach scaled production. The remaining 90% fail because the enterprise environment around them was never ready to absorb them, not the AI models ...

Today's modern systems are not what they once were. Organizations now rely on distributed systems, event-driven workflows, hybrid and multi-cloud environments and continuous delivery pipelines. While each adds flexibility, it also introduces new, often invisible failures. Development speed is no longer the primary bottleneck of innovation. Reliability is ...