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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

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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

I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...