Skip to main content

Hybrid Cloud Is Here to Stay – and IT Leaders Are (Mostly) Missing the Tools They Need to Succeed

James Field
LogicMonitor

It won't come as a surprise to IT managers, but an alarming number of them describe their company's monitoring approach as "chaotic." According to a recent survey of over 500 global IT leaders, the challenges plaguing IT teams are significant, as they navigate everything from economic constraints, demands AI puts on their tech stack, and competing job priorities from senior leadership.

What Is the Problem?

The overwhelming majority of IT leaders (80%) say budget cuts are negatively impacting their company's cloud migration. At the same time, nearly the same amount (71%) say they expect to be working with a mix of both cloud and on-prem infrastructure — and all of them (100%) think it's best for business. It's clear that hybrid isn't going anywhere.

So what's the problem?

Almost half of IT leaders have only negative things to say about their company's current hybrid monitoring approach — contributing to that "chaotic" environment. And maybe most alarmingly, the majority (74%) of IT managers spend more than a full day each week responding to incidents. Giving IT teams that time back not only makes employees happier, but helps a businesses' bottom line. More on that later.

Where AI Fits In

We know artificial intelligence is absolutely everywhere these days — including on IT leaders' minds. Surprisingly, only 50% think that their organization's infrastructure is prepared to handle additional use of AI. Even worse: only 17% say their company's IT infrastructure completely supports business goals. This should be a wakeup call for the C-suite to listen to the concerns of their IT teams so they aren't hamstrung by tech capabilities when it comes time to implement AI tools.

They do have a wishlist, though. IT leaders mostly want AI to provide recommendations for actions they can take to solve incidents (taking a chunk out of that one day per week that they already spend responding), and ideally, recognize and resolve issues on its own. AIOps is heating up as an industry, so luckily for IT teams, this reality isn't far away.

The Big Picture: Helping IT Leaders Make an Impact

The IT teams I've worked with throughout my career have always been extremely impressive. They're committed to their work, steeped in the details, and they keep an eye on the bottom line and care deeply about how their work supports it. I was not surprised to see this is true of most IT leaders, too – 74% have ideas about how to solve business problems using their data, but no time to develop them.

These findings should alert company leadership that more needs to be done (cough cough, better tools!) to give IT leaders more job satisfaction, as 65% of them say they're happiest at work when they have interesting, innovative work to do. Freeing up their time is also imperative for the business: 40% have put off projects that increase user and customer satisfaction to focus on responding to incidents, and 35% say they put off increasing revenue. Talk about a missed opportunity.

All of this to say: heed the concerns of your IT people, and results — everything from job satisfaction to company performance — will follow.

James Field is Sr. Director of Product Strategy and Operations at LogicMonitor

Hot Topics

The Latest

Organizations that perform regular audits and assessments of AI system performance and compliance are over three times more likely to achieve high GenAI value than organizations that do not, according to a survey by Gartner ...

Kubernetes has become the backbone of cloud infrastructure, but it's also one of its biggest cost drivers. Recent research shows that 98% of senior IT leaders say Kubernetes now drives cloud spend, yet 91% still can't optimize it effectively. After years of adoption, most organizations have moved past discovery. They know container sprawl, idle resources and reactive scaling inflate costs. What they don't know is how to fix it ...

Artificial intelligence is no longer a future investment. It's already embedded in how we work — whether through copilots in productivity apps, real-time transcription tools in meetings, or machine learning models fueling analytics and personalization. But while enterprise adoption accelerates, there's one critical area many leaders have yet to examine: Can your network actually support AI at the speed your users expect? ...

The more technology businesses invest in, the more potential attack surfaces they have that can be exploited. Without the right continuity plans in place, the disruptions caused by these attacks can bring operations to a standstill and cause irreparable damage to an organization. It's essential to take the time now to ensure your business has the right tools, processes, and recovery initiatives in place to weather any type of IT disaster that comes up. Here are some effective strategies you can follow to achieve this ...

In today's fast-paced AI landscape, CIOs, IT leaders, and engineers are constantly challenged to manage increasingly complex and interconnected systems. The sheer scale and velocity of data generated by modern infrastructure can be overwhelming, making it difficult to maintain uptime, prevent outages, and create a seamless customer experience. This complexity is magnified by the industry's shift towards agentic AI ...

In MEAN TIME TO INSIGHT Episode 19, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA explains the cause of the AWS outage in October ... 

The explosion of generative AI and machine learning capabilities has fundamentally changed the conversation around cloud migration. It's no longer just about modernization or cost savings — it's about being able to compete in a market where AI is rapidly becoming table stakes. Companies that can't quickly spin up AI workloads, feed models with data at scale, or experiment with new capabilities are falling behind faster than ever before. But here's what I'm seeing: many organizations want to capitalize on AI, but they're stuck ...

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 ...

Artificial Intelligence (AI) is reshaping observability, and observability is becoming essential for AI. This is a two-way relationship that is increasingly relevant as enterprises scale generative AI ... This dual role makes AI and observability inseparable. In this blog, I cover more details of each side ...

Poor DEX directly costs global businesses an average of 470,000 hours per year, equivalent to around 226 full-time employees, according to a new report from Nexthink, Cracking the DEX Equation: The Annual Workplace Productivity Report. This indicates that digital friction is a vital and underreported element of the global productivity crisis ...

Hybrid Cloud Is Here to Stay – and IT Leaders Are (Mostly) Missing the Tools They Need to Succeed

James Field
LogicMonitor

It won't come as a surprise to IT managers, but an alarming number of them describe their company's monitoring approach as "chaotic." According to a recent survey of over 500 global IT leaders, the challenges plaguing IT teams are significant, as they navigate everything from economic constraints, demands AI puts on their tech stack, and competing job priorities from senior leadership.

What Is the Problem?

The overwhelming majority of IT leaders (80%) say budget cuts are negatively impacting their company's cloud migration. At the same time, nearly the same amount (71%) say they expect to be working with a mix of both cloud and on-prem infrastructure — and all of them (100%) think it's best for business. It's clear that hybrid isn't going anywhere.

So what's the problem?

Almost half of IT leaders have only negative things to say about their company's current hybrid monitoring approach — contributing to that "chaotic" environment. And maybe most alarmingly, the majority (74%) of IT managers spend more than a full day each week responding to incidents. Giving IT teams that time back not only makes employees happier, but helps a businesses' bottom line. More on that later.

Where AI Fits In

We know artificial intelligence is absolutely everywhere these days — including on IT leaders' minds. Surprisingly, only 50% think that their organization's infrastructure is prepared to handle additional use of AI. Even worse: only 17% say their company's IT infrastructure completely supports business goals. This should be a wakeup call for the C-suite to listen to the concerns of their IT teams so they aren't hamstrung by tech capabilities when it comes time to implement AI tools.

They do have a wishlist, though. IT leaders mostly want AI to provide recommendations for actions they can take to solve incidents (taking a chunk out of that one day per week that they already spend responding), and ideally, recognize and resolve issues on its own. AIOps is heating up as an industry, so luckily for IT teams, this reality isn't far away.

The Big Picture: Helping IT Leaders Make an Impact

The IT teams I've worked with throughout my career have always been extremely impressive. They're committed to their work, steeped in the details, and they keep an eye on the bottom line and care deeply about how their work supports it. I was not surprised to see this is true of most IT leaders, too – 74% have ideas about how to solve business problems using their data, but no time to develop them.

These findings should alert company leadership that more needs to be done (cough cough, better tools!) to give IT leaders more job satisfaction, as 65% of them say they're happiest at work when they have interesting, innovative work to do. Freeing up their time is also imperative for the business: 40% have put off projects that increase user and customer satisfaction to focus on responding to incidents, and 35% say they put off increasing revenue. Talk about a missed opportunity.

All of this to say: heed the concerns of your IT people, and results — everything from job satisfaction to company performance — will follow.

James Field is Sr. Director of Product Strategy and Operations at LogicMonitor

Hot Topics

The Latest

Organizations that perform regular audits and assessments of AI system performance and compliance are over three times more likely to achieve high GenAI value than organizations that do not, according to a survey by Gartner ...

Kubernetes has become the backbone of cloud infrastructure, but it's also one of its biggest cost drivers. Recent research shows that 98% of senior IT leaders say Kubernetes now drives cloud spend, yet 91% still can't optimize it effectively. After years of adoption, most organizations have moved past discovery. They know container sprawl, idle resources and reactive scaling inflate costs. What they don't know is how to fix it ...

Artificial intelligence is no longer a future investment. It's already embedded in how we work — whether through copilots in productivity apps, real-time transcription tools in meetings, or machine learning models fueling analytics and personalization. But while enterprise adoption accelerates, there's one critical area many leaders have yet to examine: Can your network actually support AI at the speed your users expect? ...

The more technology businesses invest in, the more potential attack surfaces they have that can be exploited. Without the right continuity plans in place, the disruptions caused by these attacks can bring operations to a standstill and cause irreparable damage to an organization. It's essential to take the time now to ensure your business has the right tools, processes, and recovery initiatives in place to weather any type of IT disaster that comes up. Here are some effective strategies you can follow to achieve this ...

In today's fast-paced AI landscape, CIOs, IT leaders, and engineers are constantly challenged to manage increasingly complex and interconnected systems. The sheer scale and velocity of data generated by modern infrastructure can be overwhelming, making it difficult to maintain uptime, prevent outages, and create a seamless customer experience. This complexity is magnified by the industry's shift towards agentic AI ...

In MEAN TIME TO INSIGHT Episode 19, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA explains the cause of the AWS outage in October ... 

The explosion of generative AI and machine learning capabilities has fundamentally changed the conversation around cloud migration. It's no longer just about modernization or cost savings — it's about being able to compete in a market where AI is rapidly becoming table stakes. Companies that can't quickly spin up AI workloads, feed models with data at scale, or experiment with new capabilities are falling behind faster than ever before. But here's what I'm seeing: many organizations want to capitalize on AI, but they're stuck ...

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 ...

Artificial Intelligence (AI) is reshaping observability, and observability is becoming essential for AI. This is a two-way relationship that is increasingly relevant as enterprises scale generative AI ... This dual role makes AI and observability inseparable. In this blog, I cover more details of each side ...

Poor DEX directly costs global businesses an average of 470,000 hours per year, equivalent to around 226 full-time employees, according to a new report from Nexthink, Cracking the DEX Equation: The Annual Workplace Productivity Report. This indicates that digital friction is a vital and underreported element of the global productivity crisis ...