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How Do You Quantify the ROI of Network Monitoring?

Dirk Paessler

Return on Investment is a tricky term. It is quite simple to take the total cost of software and amortize it over a period of time. But in the case of network monitoring, that analysis ignores what the software actually does. Put simply, network monitoring gives IT visibility and insight into their infrastructure, helping spot problems before they start, and ensuring uptime and availability. Calculating ROI for such software without acknowledging its impact would be akin to amortizing the cost of a sales enablement tool without considering if it increases sales. A more forward-looking approach that accounts for the software’s impact is necessary, but the analysis is not without its issues.

When used correctly, network monitoring software can prevent a number of problems – mail server crashes, website failures, and network downtime, among others. The benefit to users and IT is obvious, but the effect on the bottom line is more difficult to quantify. Losing email for a day affects productivity, but losing email at 9 a.m. on a Monday is different than 4 p.m. on a Friday. Similarly, a website crash is a disaster if it happens for a retailer on Cyber Monday, but is less of a problem for most other businesses.

There have been studies aimed at quantifying the costs of IT failures. In 2012, industry analyst Michael Krigsman published an article that put the total cost of IT failures on the world economy at $3 trillion per year. A Gartner study from 2014 put a finer point on the issue, stating that the average cost of network downtime is $5,600 per minute, or $300,000 an hour. While the effects of downtime and outages will be felt differently by individual businesses, these studies highlight both the need for network monitoring, and illustrate the financial case that can be made for it.

IT managers looking to make the case for network monitoring in their budgets do not need to use analyst figures or estimates. Instead, they can look at a number of local factors – including the costs of IT staffing, the average time it takes to restore failures, number of network failures in the previous year, and SLAs with various service providers. By arming themselves with data, IT leaders will have an easier time explaining to the business side about the need for network monitoring.

The budgeting process for IT grows more difficult every year. Nearly every part of the business now spends money on technology, and in some cases a great deal of the budget is shifted towards marketing and sales enablement. As IT managers are constantly asked to do more with less, they need monitoring more than ever – it keeps an eye on infrastructure when they can’t. It is imperative that IT departments do not lose out on a critical tool simply because it does not have the eye-catching appeal of the "Next Big Thing". But with hard numbers and a little common-sense thinking, IT can make the case for network monitoring successfully.

Dirk Paessler is CEO and Founder of Paessler AG.

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How Do You Quantify the ROI of Network Monitoring?

Dirk Paessler

Return on Investment is a tricky term. It is quite simple to take the total cost of software and amortize it over a period of time. But in the case of network monitoring, that analysis ignores what the software actually does. Put simply, network monitoring gives IT visibility and insight into their infrastructure, helping spot problems before they start, and ensuring uptime and availability. Calculating ROI for such software without acknowledging its impact would be akin to amortizing the cost of a sales enablement tool without considering if it increases sales. A more forward-looking approach that accounts for the software’s impact is necessary, but the analysis is not without its issues.

When used correctly, network monitoring software can prevent a number of problems – mail server crashes, website failures, and network downtime, among others. The benefit to users and IT is obvious, but the effect on the bottom line is more difficult to quantify. Losing email for a day affects productivity, but losing email at 9 a.m. on a Monday is different than 4 p.m. on a Friday. Similarly, a website crash is a disaster if it happens for a retailer on Cyber Monday, but is less of a problem for most other businesses.

There have been studies aimed at quantifying the costs of IT failures. In 2012, industry analyst Michael Krigsman published an article that put the total cost of IT failures on the world economy at $3 trillion per year. A Gartner study from 2014 put a finer point on the issue, stating that the average cost of network downtime is $5,600 per minute, or $300,000 an hour. While the effects of downtime and outages will be felt differently by individual businesses, these studies highlight both the need for network monitoring, and illustrate the financial case that can be made for it.

IT managers looking to make the case for network monitoring in their budgets do not need to use analyst figures or estimates. Instead, they can look at a number of local factors – including the costs of IT staffing, the average time it takes to restore failures, number of network failures in the previous year, and SLAs with various service providers. By arming themselves with data, IT leaders will have an easier time explaining to the business side about the need for network monitoring.

The budgeting process for IT grows more difficult every year. Nearly every part of the business now spends money on technology, and in some cases a great deal of the budget is shifted towards marketing and sales enablement. As IT managers are constantly asked to do more with less, they need monitoring more than ever – it keeps an eye on infrastructure when they can’t. It is imperative that IT departments do not lose out on a critical tool simply because it does not have the eye-catching appeal of the "Next Big Thing". But with hard numbers and a little common-sense thinking, IT can make the case for network monitoring successfully.

Dirk Paessler is CEO and Founder of Paessler AG.

Hot Topics

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Across the enterprise technology landscape, a quiet crisis is playing out. Organizations have run hundreds, sometimes thousands, of generative AI pilots. Leadership has celebrated the proof of concept (POCs) ... Industry experience points to a sobering reality: only 5-10% of AI POCs that progress to the pilot stage successfully reach scaled production. The remaining 90% fail because the enterprise environment around them was never ready to absorb them, not the AI models ...

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 ...

Seeing is believing, or in this case, seeing is understanding, according to New Relic's 2025 Observability Forecast for Retail and eCommerce report. Retailers who want to provide exceptional customer experiences while improving IT operations efficiency are leaning on observability ... Here are five key takeaways from the report ...

Technology leaders across the federal landscape are facing, and will continue to face, an uphill battle when it comes to fortifying their digital environments against hostile and persistent threat actors. On one hand, they are being asked to push digital transformation ... On the other hand, they are facing the fiscal uncertainty of continuing resolutions (CR) and government shutdowns looming near and far. In the face of these challenges, CIOs, CTOs, and CISOs must figure out how to modernize legacy systems and infrastructure while doing more with less and still defending against external and internal threats ...

Reliability is no longer proven by uptime alone, according to the The SRE Report 2026 from LogicMonitor. In the AI era, it is experienced through speed, consistency, and user trust, and increasingly judged by business impact. As digital services grow more complex and AI systems move into production, traditional monitoring approaches are struggling to keep pace, increasing the need for AI-first observability that spans applications, infrastructure, and the Internet ...

If AI is the engine of a modern organization, then data engineering is the road system beneath it. You can build the most powerful engine in the world, but without paved roads, traffic signals, and bridges that can support its weight, it will stall. In many enterprises, the engine is ready. The roads are not ...

In the world of digital-first business, there is no tolerance for service outages. Businesses know that outages are the quickest way to lose money and customers. For smaller organizations, unplanned downtime could even force the business to close ... A new study from PagerDuty, The State of AI-First Operations, reveals that companies actively incorporating AI into operations now view operational resilience as a growth driver rather than a cost center. But how are they achieving it? ...

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

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 ...