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IT Trends 2018: The Intersection of Hype and Performance - Part 1

Leon Adato

According to Google, in the time it takes you to read this sentence, a website will lose 53% of its visitors if the page hasn't loaded. This confirms what most of us have known for a while: IT performance is more important than ever in today's digital economy. It's crucial to an organization's bottom line, as high bounce rates can result in lost money, while improved performance can save time and money.

Also well known is that emerging technologies like artificial intelligence (AI), machine learning (ML), and blockchain are disrupting the industry. With that said, while they may be top of mind for the c-suite, in many cases, IT professionals are focused on more urgent, basic performance problems. The SolarWinds IT Trends Report 2018: The Intersection of Hype and Performance investigates how IT professionals view the current state of technology and digital transformation.

Overall, the 2018 key findings show:

Hybrid IT and cloud computing will remain IT professionals' top priority for the next five years as these elements meet today's business needs while serving as the foundation for trends like machine learning and AI.

■ 94 percent of IT professionals surveyed indicate hybrid IT or cloud as one of the top five most important technologies in their IT organization's technology strategy today, with 51 percent listing it as their number one most important technology.

■ When ranking most important technologies today, and for digital transformation over the next three to five years, as well as technologies with the greatest potential to provide productivity/efficiency benefits and ROI, IT professionals ranked hybrid IT and cloud as number one across the board (by weighted rank).

At the same time, IT professionals are prioritizing internal investments in containers as a proven solution to the challenges of hybrid IT and cloud computing, and a key enabler of innovation.

■ 44 percent of respondents ranked containers as the most important technology priority today, and 38 percent of respondents ranked containers as the most important technology priority three to five years from now.

■ Concurrently, AI and ML investments are expected to increase in importance over the next three to five years – 37 percent of respondents indicate that AI is the biggest priority and 31 percent of respondents indicate that ML is the biggest priority three to five years from now (compared to 29 percent and 21 percent today, respectively).

The results of the IT Trends survey suggest a dissonance between the views of IT professionals and their senior managers on priorities for IT investment over the next three to five years.

■ On the weighted list of technologies IT professionals believe are needed for an IT organization's digital transformation over the next three to five years, AI did not make the top five. This contrasts with a recent CEO survey, which found that 81 percent of CEOs consider AI and machine learning to be a priority for their business, up from just 54 percent in 2016 (Fortune).

While IT professionals continue prioritizing hybrid IT and cloud computing, adoption of these technologies has made it challenging to optimize performance of their systems and applications.

■ 58 percent of IT professionals surveyed indicated that by weighted rank, hybrid IT/cloud presents the greatest challenges when it comes to implementation, roll-out, and day-to-day performance.

■ Nearly half (47 percent) of all IT professionals surveyed think that their IT environments are not operating at optimal levels.

■ Over half of all IT professionals surveyed spend less than 25 percent of their time proactively optimizing performance.

■ Nearly half of IT professionals spend 50 percent or more of their time reactively maintaining and troubleshooting their IT environment.

Many IT professionals cite a lack of organizational strategy and inadequate investment in areas such as user training as the most common barriers to system optimization.

■ Of IT professionals indicating their environments are not optimized, 43 percent ranked inadequate organizational strategy as one of the top three barriers to achieving optimization. To achieve true performance and work toward a successful digital transformation, IT professionals require deeper strategic collaboration with business leaders.

If IT professionals want to be instrumental to their organization's successful digital transformation journey, they should continue prioritizing a hybrid IT environment while simultaneously developing new skillsets and leveraging emerging technologies.

Start with: IT Trends 2018: The Intersection of Hype and Performance - Part 2, offering recommendations on how to manage the intersection of hype and performance.

Methodology: The 2018 IT Trends Report is based on a survey of IT practitioners, managers, and directors at public- and private-sector small, mid-size, and enterprise organizations, fielded in December 2017 by C White Consulting on behalf of SolarWinds. 803 respondents from North America, Australia, Germany, Hong Kong, Singapore, and the United Kingdom were surveyed, as reported on the SolarWinds IT Trends Index.

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 Trends 2018: The Intersection of Hype and Performance - Part 1

Leon Adato

According to Google, in the time it takes you to read this sentence, a website will lose 53% of its visitors if the page hasn't loaded. This confirms what most of us have known for a while: IT performance is more important than ever in today's digital economy. It's crucial to an organization's bottom line, as high bounce rates can result in lost money, while improved performance can save time and money.

Also well known is that emerging technologies like artificial intelligence (AI), machine learning (ML), and blockchain are disrupting the industry. With that said, while they may be top of mind for the c-suite, in many cases, IT professionals are focused on more urgent, basic performance problems. The SolarWinds IT Trends Report 2018: The Intersection of Hype and Performance investigates how IT professionals view the current state of technology and digital transformation.

Overall, the 2018 key findings show:

Hybrid IT and cloud computing will remain IT professionals' top priority for the next five years as these elements meet today's business needs while serving as the foundation for trends like machine learning and AI.

■ 94 percent of IT professionals surveyed indicate hybrid IT or cloud as one of the top five most important technologies in their IT organization's technology strategy today, with 51 percent listing it as their number one most important technology.

■ When ranking most important technologies today, and for digital transformation over the next three to five years, as well as technologies with the greatest potential to provide productivity/efficiency benefits and ROI, IT professionals ranked hybrid IT and cloud as number one across the board (by weighted rank).

At the same time, IT professionals are prioritizing internal investments in containers as a proven solution to the challenges of hybrid IT and cloud computing, and a key enabler of innovation.

■ 44 percent of respondents ranked containers as the most important technology priority today, and 38 percent of respondents ranked containers as the most important technology priority three to five years from now.

■ Concurrently, AI and ML investments are expected to increase in importance over the next three to five years – 37 percent of respondents indicate that AI is the biggest priority and 31 percent of respondents indicate that ML is the biggest priority three to five years from now (compared to 29 percent and 21 percent today, respectively).

The results of the IT Trends survey suggest a dissonance between the views of IT professionals and their senior managers on priorities for IT investment over the next three to five years.

■ On the weighted list of technologies IT professionals believe are needed for an IT organization's digital transformation over the next three to five years, AI did not make the top five. This contrasts with a recent CEO survey, which found that 81 percent of CEOs consider AI and machine learning to be a priority for their business, up from just 54 percent in 2016 (Fortune).

While IT professionals continue prioritizing hybrid IT and cloud computing, adoption of these technologies has made it challenging to optimize performance of their systems and applications.

■ 58 percent of IT professionals surveyed indicated that by weighted rank, hybrid IT/cloud presents the greatest challenges when it comes to implementation, roll-out, and day-to-day performance.

■ Nearly half (47 percent) of all IT professionals surveyed think that their IT environments are not operating at optimal levels.

■ Over half of all IT professionals surveyed spend less than 25 percent of their time proactively optimizing performance.

■ Nearly half of IT professionals spend 50 percent or more of their time reactively maintaining and troubleshooting their IT environment.

Many IT professionals cite a lack of organizational strategy and inadequate investment in areas such as user training as the most common barriers to system optimization.

■ Of IT professionals indicating their environments are not optimized, 43 percent ranked inadequate organizational strategy as one of the top three barriers to achieving optimization. To achieve true performance and work toward a successful digital transformation, IT professionals require deeper strategic collaboration with business leaders.

If IT professionals want to be instrumental to their organization's successful digital transformation journey, they should continue prioritizing a hybrid IT environment while simultaneously developing new skillsets and leveraging emerging technologies.

Start with: IT Trends 2018: The Intersection of Hype and Performance - Part 2, offering recommendations on how to manage the intersection of hype and performance.

Methodology: The 2018 IT Trends Report is based on a survey of IT practitioners, managers, and directors at public- and private-sector small, mid-size, and enterprise organizations, fielded in December 2017 by C White Consulting on behalf of SolarWinds. 803 respondents from North America, Australia, Germany, Hong Kong, Singapore, and the United Kingdom were surveyed, as reported on the SolarWinds IT Trends Index.

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 ...