Rising IT Complexity Threatens Modernization - Survey Shows SysAdmins Under Pressure

Martin Hirschvogel
Checkmk

Two in three IT professionals now cite growing complexity as their top challenge — an urgent signal that the modernization curve may be getting too steep, according to the Rising to the Challenge survey from Checkmk.

Complexity Undermines Control and Cybersecurity

As cloud adoption, containerization, and serverless computing scale up, IT teams are struggling to maintain control, manage workloads, and mitigate risks. Without a coordinated response, the very goals of digital transformation could be at stake.

The survey highlights a dramatic rise in operational strain. Four out of five IT professionals say their tasks are becoming more complex, while 83% feel intense pressure to keep up with the rapid pace of innovation. This complexity isn't just technical — it's operational. Fragmented toolchains, distributed systems, and increased interdependencies are making environments more difficult to manage and leaving them more vulnerable to cyber threats.

Many teams find themselves forced into short-term solutions. In fact, 59% of respondents admit that quick fixes — often implemented under pressure — end up causing new problems. The lack of coherence in IT tool strategies further escalates costs and maintenance overhead.

Staff Shortages and Skills Gaps Add Fuel to the Fire

The strain on human resources is just as critical. Half of those surveyed report heavier workloads due to staffing shortages. At the same time, 49% now identify the IT skills gap as the greatest barrier to modernization — a 10 percentage point increase in just two years.

Upskilling is non-negotiable: A striking 94% of IT professionals say they'll need to learn new technologies in the next 12 months to stay effective. Skill areas in high demand include automation, configuration management, and IT monitoring — competencies that are increasingly tied to system resilience and performance. DevOps and programming expertise are also gaining traction as deployment cycles accelerate.

AI Expectations Remain Modest

Despite the buzz around artificial intelligence, the survey reveals skepticism around its real-world value. Only 40% of survey respondents expect AI to significantly reduce their daily workload. AI-driven monitoring ranks among the lowest-priority tools today, with most teams focusing instead on foundational capabilities that offer direct, tangible insights.

Monitoring: A Critical Line of Defense

Monitoring is widely regarded as essential for keeping operations on track. An overwhelming 94% of IT professionals consider IT infrastructure monitoring crucial for reducing Mean Time to Resolution (MTTR) and maintaining service level objectives (SLOs). Log management (72%), application performance management (64%), and full-stack observability (60%) are also seen as key areas, as IT teams increasingly rely on tools and methods that provide deeper insights into system components and dependencies, aiming for end-to-end visibility.

However, even effective monitoring is being challenged. A lack of knowledge is the second biggest barrier to improving MTTR — right behind infrastructure complexity itself. Without adequate support and training, even the best platforms can fall short of delivering value.

Lowering the Barrier to Innovation

The  report paints a clear picture of an industry under pressure: complexity is rising, skills are in short supply, and workloads are becoming unsustainable. To help, technology providers must lower adoption barriers and lighten the load on IT teams — with simple setup, intuitive workflows, strong automation, and flexible SaaS models. These platforms must be built not just for modern systems, but for the real-world challenges sysadmins face every day.

As IT demands grow, one thing is clear: innovation won't scale unless those managing it can keep up. Investing in better tools, training, and support for sysadmins isn't optional — it's essential to digital transformation.

Methodology: In fall 2024, Checkmk surveyed 192 IT professionals in 27 countries, primarily in IT operations, management, and consulting. Most respondents were based in Europe and North America.

Martin Hirschvogel is Chief Product Officer at Checkmk

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Rising IT Complexity Threatens Modernization - Survey Shows SysAdmins Under Pressure

Martin Hirschvogel
Checkmk

Two in three IT professionals now cite growing complexity as their top challenge — an urgent signal that the modernization curve may be getting too steep, according to the Rising to the Challenge survey from Checkmk.

Complexity Undermines Control and Cybersecurity

As cloud adoption, containerization, and serverless computing scale up, IT teams are struggling to maintain control, manage workloads, and mitigate risks. Without a coordinated response, the very goals of digital transformation could be at stake.

The survey highlights a dramatic rise in operational strain. Four out of five IT professionals say their tasks are becoming more complex, while 83% feel intense pressure to keep up with the rapid pace of innovation. This complexity isn't just technical — it's operational. Fragmented toolchains, distributed systems, and increased interdependencies are making environments more difficult to manage and leaving them more vulnerable to cyber threats.

Many teams find themselves forced into short-term solutions. In fact, 59% of respondents admit that quick fixes — often implemented under pressure — end up causing new problems. The lack of coherence in IT tool strategies further escalates costs and maintenance overhead.

Staff Shortages and Skills Gaps Add Fuel to the Fire

The strain on human resources is just as critical. Half of those surveyed report heavier workloads due to staffing shortages. At the same time, 49% now identify the IT skills gap as the greatest barrier to modernization — a 10 percentage point increase in just two years.

Upskilling is non-negotiable: A striking 94% of IT professionals say they'll need to learn new technologies in the next 12 months to stay effective. Skill areas in high demand include automation, configuration management, and IT monitoring — competencies that are increasingly tied to system resilience and performance. DevOps and programming expertise are also gaining traction as deployment cycles accelerate.

AI Expectations Remain Modest

Despite the buzz around artificial intelligence, the survey reveals skepticism around its real-world value. Only 40% of survey respondents expect AI to significantly reduce their daily workload. AI-driven monitoring ranks among the lowest-priority tools today, with most teams focusing instead on foundational capabilities that offer direct, tangible insights.

Monitoring: A Critical Line of Defense

Monitoring is widely regarded as essential for keeping operations on track. An overwhelming 94% of IT professionals consider IT infrastructure monitoring crucial for reducing Mean Time to Resolution (MTTR) and maintaining service level objectives (SLOs). Log management (72%), application performance management (64%), and full-stack observability (60%) are also seen as key areas, as IT teams increasingly rely on tools and methods that provide deeper insights into system components and dependencies, aiming for end-to-end visibility.

However, even effective monitoring is being challenged. A lack of knowledge is the second biggest barrier to improving MTTR — right behind infrastructure complexity itself. Without adequate support and training, even the best platforms can fall short of delivering value.

Lowering the Barrier to Innovation

The  report paints a clear picture of an industry under pressure: complexity is rising, skills are in short supply, and workloads are becoming unsustainable. To help, technology providers must lower adoption barriers and lighten the load on IT teams — with simple setup, intuitive workflows, strong automation, and flexible SaaS models. These platforms must be built not just for modern systems, but for the real-world challenges sysadmins face every day.

As IT demands grow, one thing is clear: innovation won't scale unless those managing it can keep up. Investing in better tools, training, and support for sysadmins isn't optional — it's essential to digital transformation.

Methodology: In fall 2024, Checkmk surveyed 192 IT professionals in 27 countries, primarily in IT operations, management, and consulting. Most respondents were based in Europe and North America.

Martin Hirschvogel is Chief Product Officer at Checkmk

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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 ...

How AI Agents Are Reshaping DataOps for the Always-On Enterprise

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 ...

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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 ...

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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 ...

Why ITOps Need Right-Sized AI, Not Bigger Models

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 ...

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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 ...

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