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The Data Center: IT's Halloween Fear Factory

Kong Yang

I was working in the data center, late one night
When my eyes beheld an eerie sight
For my infrastructure began to screech
And suddenly there was a breach …

 
Hey, it's Halloween, how could I not take advantage of the opportunity for a little IT-style "Monster Mash?"

The spookiest day of the year is here, and Halloween is actually a good reminder that trouble in the data center is always lurking just beneath the application surface, ready to wreak havoc at any moment.

So, in the spirit of Halloween, SolarWinds recently asked our THWACK community of IT professionals their deepest, darkest IT fears. While some are definitely good for a chuckle, and you'll probably just nod your head in agreement at others, the responses simply allude to the fact that in IT, if things can go wrong, they usually will, and how important it is to be prepared to address the many challenges that exist.

Here are a handful of the responses we got:

■ Stupidity. Yes, my number one fear is stupidity. Not mine, mind you, but others'. For example, I recently walked into a client's site and found a ton of power strips laying on the floor behind their telecom racks. It would have been so easy for someone to have simply tripped over one, unplugging it in the process. Doing so would have caused an outage to an entire manufacturing plant.

■ My greatest IT fear (and fear is general) is clowns on backhoes digging all around our facility looking for that undocumented fiber or twisted pair. (Shudder.)

■ My greatest fear is upper management not understanding the importance of redundancy. Our ERP system is at headquarters and all plants communicate with it almost nonstop for labels and shipping information to get product out. Having headquarters' WAN connection die and then needing to wait for hardware to arrive to replace it would bring business to a halt.

■ My leading fear is our monitoring software either taking an unscheduled dirt nap for some reason or otherwise becoming unavailable. Flying blind in this day and age is a scary proposition. It would indeed be a dark day.

■ Human error can be the worst nightmare of all. I've seen overly enthusiastic electricians and phone technicians cut lines they weren't supposed to.

■ Aside from my technological nightmares, my biggest fear is a server fan eating my beard. There are some devices out there (NexSAN SATABeast, anyone?) that have massive fans, and I've come close to being eaten alive a few times. Aside from the immediate pain, the call to support to get a replacement fan would be quite awkward...

■ My biggest fear? That a "new" and as of yet undetected vulnerability is wreaking havoc in my environment, letting bad guys take whatever data they want even as I write this … and that it then ends up on every news channel with our company logo big and bold.

■ Natural disasters are especially frightening to me as an IT professional, whether it be hurricanes, tornadoes or particularly earthquakes. I'm both curious (and not interested) in finding out the technological ramifications an earthquake would have in our data center and the subsequent ripple (no pun intended … OK, pun intended) effect throughout the organization. Not just server racks, but the smaller stuff, too, like all the creative ways an earthquake would kill spinning hard drives. (Though, if racks are just falling over, hard drives would probably be the least of our worries.)

■ I'm deathly afraid that there's ransomware living on some of our critical production and backup data without us knowing it, and then someone decides to pull the trigger and poof! All of our production and backup data are encrypted.

■ Weather in general has me always freaked out! Water and data centers don't mix well.

While data center-destroying clowns may not be so likely, some of these fears are definitely legitimate. Another fear many systems administrators have is staying relevant today and into the future, especially considering the continual and rapid rate of change we see in the data center (think hyperconvergence, the cloud and hybrid IT, microservices, containers, DevOps, serverless architecture, etc.). So, in closing, I thought I'd provide some advice I think may help:

Develop an application-centric mindset

What matters to the business most is that applications are working well all the time, because every business, and every component of every business, is now dependent on applications. The modern systems administrator needs to think about application uptime and performance first and foremost — end user experience metrics are now part of the CIO's SLA.

Use monitoring with discipline to be the "silent hero"

Given the importance of application uptime and performance, systems and application monitoring needs to become second nature. Systems administrators must implement and manage comprehensive monitoring solutions in order to optimize application performance, realign resources, identify early warning signs of problems and take proactive action. By finding and solving a problem before any end users even know there is a problem, the systems administrator becomes the "silent hero."

Embrace the role of strategic adviser rather than simply remaining a problem fixer

Thanks to the consumerization of technology, the control of many technology decisions has shifted from systems administrator to the end user. This means systems administrators should look to provide insight and advice to all parts of the business to help end users and department leaders make intelligent choices, rather than just responding to tickets.

Learn how to make the right technology decisions for the business

There is a myriad new technologies available to IT: from those mentioned above to IoT to big data. Systems administrators must be smart about choosing the technologies that can truly add value to the business and be able to integrate them when they reach the right level of maturity.

Always keep security top of mind

Whatever a systems administrator does, security needs to be a top priority. The sophistication of attacks is increasing and evolving just as quickly as organizations can prepare for them, sometimes faster. Exacerbating the issue is how much sensitive information companies are storing in today's era of Big Data. And the weakest link remain the end users. Today's systems administrators must continually take steps to ensure the security of their organizations' digital infrastructure.

Kong Yang is a Head Geek at SolarWinds.

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 ...

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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 ...

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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 Data Center: IT's Halloween Fear Factory

Kong Yang

I was working in the data center, late one night
When my eyes beheld an eerie sight
For my infrastructure began to screech
And suddenly there was a breach …

 
Hey, it's Halloween, how could I not take advantage of the opportunity for a little IT-style "Monster Mash?"

The spookiest day of the year is here, and Halloween is actually a good reminder that trouble in the data center is always lurking just beneath the application surface, ready to wreak havoc at any moment.

So, in the spirit of Halloween, SolarWinds recently asked our THWACK community of IT professionals their deepest, darkest IT fears. While some are definitely good for a chuckle, and you'll probably just nod your head in agreement at others, the responses simply allude to the fact that in IT, if things can go wrong, they usually will, and how important it is to be prepared to address the many challenges that exist.

Here are a handful of the responses we got:

■ Stupidity. Yes, my number one fear is stupidity. Not mine, mind you, but others'. For example, I recently walked into a client's site and found a ton of power strips laying on the floor behind their telecom racks. It would have been so easy for someone to have simply tripped over one, unplugging it in the process. Doing so would have caused an outage to an entire manufacturing plant.

■ My greatest IT fear (and fear is general) is clowns on backhoes digging all around our facility looking for that undocumented fiber or twisted pair. (Shudder.)

■ My greatest fear is upper management not understanding the importance of redundancy. Our ERP system is at headquarters and all plants communicate with it almost nonstop for labels and shipping information to get product out. Having headquarters' WAN connection die and then needing to wait for hardware to arrive to replace it would bring business to a halt.

■ My leading fear is our monitoring software either taking an unscheduled dirt nap for some reason or otherwise becoming unavailable. Flying blind in this day and age is a scary proposition. It would indeed be a dark day.

■ Human error can be the worst nightmare of all. I've seen overly enthusiastic electricians and phone technicians cut lines they weren't supposed to.

■ Aside from my technological nightmares, my biggest fear is a server fan eating my beard. There are some devices out there (NexSAN SATABeast, anyone?) that have massive fans, and I've come close to being eaten alive a few times. Aside from the immediate pain, the call to support to get a replacement fan would be quite awkward...

■ My biggest fear? That a "new" and as of yet undetected vulnerability is wreaking havoc in my environment, letting bad guys take whatever data they want even as I write this … and that it then ends up on every news channel with our company logo big and bold.

■ Natural disasters are especially frightening to me as an IT professional, whether it be hurricanes, tornadoes or particularly earthquakes. I'm both curious (and not interested) in finding out the technological ramifications an earthquake would have in our data center and the subsequent ripple (no pun intended … OK, pun intended) effect throughout the organization. Not just server racks, but the smaller stuff, too, like all the creative ways an earthquake would kill spinning hard drives. (Though, if racks are just falling over, hard drives would probably be the least of our worries.)

■ I'm deathly afraid that there's ransomware living on some of our critical production and backup data without us knowing it, and then someone decides to pull the trigger and poof! All of our production and backup data are encrypted.

■ Weather in general has me always freaked out! Water and data centers don't mix well.

While data center-destroying clowns may not be so likely, some of these fears are definitely legitimate. Another fear many systems administrators have is staying relevant today and into the future, especially considering the continual and rapid rate of change we see in the data center (think hyperconvergence, the cloud and hybrid IT, microservices, containers, DevOps, serverless architecture, etc.). So, in closing, I thought I'd provide some advice I think may help:

Develop an application-centric mindset

What matters to the business most is that applications are working well all the time, because every business, and every component of every business, is now dependent on applications. The modern systems administrator needs to think about application uptime and performance first and foremost — end user experience metrics are now part of the CIO's SLA.

Use monitoring with discipline to be the "silent hero"

Given the importance of application uptime and performance, systems and application monitoring needs to become second nature. Systems administrators must implement and manage comprehensive monitoring solutions in order to optimize application performance, realign resources, identify early warning signs of problems and take proactive action. By finding and solving a problem before any end users even know there is a problem, the systems administrator becomes the "silent hero."

Embrace the role of strategic adviser rather than simply remaining a problem fixer

Thanks to the consumerization of technology, the control of many technology decisions has shifted from systems administrator to the end user. This means systems administrators should look to provide insight and advice to all parts of the business to help end users and department leaders make intelligent choices, rather than just responding to tickets.

Learn how to make the right technology decisions for the business

There is a myriad new technologies available to IT: from those mentioned above to IoT to big data. Systems administrators must be smart about choosing the technologies that can truly add value to the business and be able to integrate them when they reach the right level of maturity.

Always keep security top of mind

Whatever a systems administrator does, security needs to be a top priority. The sophistication of attacks is increasing and evolving just as quickly as organizations can prepare for them, sometimes faster. Exacerbating the issue is how much sensitive information companies are storing in today's era of Big Data. And the weakest link remain the end users. Today's systems administrators must continually take steps to ensure the security of their organizations' digital infrastructure.

Kong Yang is a Head Geek at SolarWinds.

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.