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

Related Links

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AI Is Hitting Operational Limits

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Alert Fatigue Is No Longer a Morale Problem, It's a Reliability Risk and a System Failure

For years, production operations teams have treated alert fatigue as a quality-of-life problem: something that makes on-call rotations miserable but isn't considered a direct contributor to outages. That framing doesn't capture how these systems fail, and we now have data to show why. More importantly, it's now clear alert fatigue is a symptom of a deeper issue: production systems have outgrown the current operational approaches ...

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Your Observability Stack Has a Telemetry Pipeline Problem

Ask any senior SRE or platform engineer what keeps them up at night, and the answer probably isn't the monitoring tool — it's the data feeding it. The proliferation of APM, observability, and AIOps platforms has created a telemetry sprawl problem that most teams manage reactively rather than architect proactively. Metrics are going to one platform. Traces routed somewhere else. Logs duplicated across multiple backends because nobody wants to be caught without them when something breaks. Every redundant stream costs money ...

Operator to Orchestrator: 80% of IT Pros See Shift in Role as AI Permeates Workflows

80% of respondents agree that the IT role is shifting from operators to orchestrators, according to the 2026 IT Trends Report: The Human Side of Autonomous IT from SolarWinds ...

Gartner: 40% of Organizations Deploying AI Will Use AI Observability to Monitor Model Performance by 2028

40% of organizations deploying AI will implement dedicated AI observability tools by 2028 to monitor model performance, bias and outputs, according to Gartner ...

Almost Half of AI-Generated Code Fails in Production

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AI Requires Design, Not Edicts

Many organizations describe AI as strategic, but they do not manage it strategically. When AI plans are disconnected from strategy, detached from organizational learning, and protected from serious assumptions testing, the problem is no longer technical immaturity; it is a failure of management discipline ... Executives too often tell organizations to "use AI" before they define what AI is supposed to change. The problem deepens in organizations where strategy isn't well articulated in the first place ...

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Today's modern systems are not what they once were. Organizations now rely on distributed systems, event-driven workflows, hybrid and multi-cloud environments and continuous delivery pipelines. While each adds flexibility, it also introduces new, often invisible failures. Development speed is no longer the primary bottleneck of innovation. Reliability is ...