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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

The Latest

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AI is usually talked about as a software tool, but it also depends heavily on the network behind it. Whether a company is using AI for chatbots, automation, monitoring, analytics, or employee support, all of that information has to move across the network in a reliable and secure way. That means AI is not just an application decision. It is also an infrastructure decision. Before organizations rush into AI, they should ask a simple question: Is our network ready to support it? ...

Enterprise AI often lacks governed access to where business processes actually execute. Without that access, AI agents may be able to reason, but they cannot operate reliably across enterprise workflows. For AI agents to effectively carry out workflows, they will require integration-layer context and controls. Organizations can implement these prerequisites by providing AI with managed access to the middleware layer ...

Enterprise networks rarely behave the same way for very long. A routing adjustment in one region may unexpectedly alter application performance in another. A cloud migration may introduce hidden dependencies that go unnoticed until an outage occurs. All the while, the network is managed by several different teams, each of whom use different tool sets — and as a result, have different views of the network ... There’s usually an engineer who remembers why traffic fails over a certain way between sites, or which transparent firewall was added where. The problem is that human memory cannot scale alongside enterprise-scale networks ...

Ask an infrastructure team how confident they are in their ability to govern AI, and most will tell you they've got it handled. A recent survey of 406 IT decision-makers and platform engineering leaders found 86% expressing exactly that confidence. Ask the same group whether they have a formal written AI governance policy, and the number drops to 30%, according to Spacelift's Infrastructure Automation Report ...

In MEAN TIME TO INSIGHT Episode 27, Shamus McGillicuddy, EMA VP of Research, Network Infrastructure and Operations, and Parker Hathcock, EMA Research Director covering IT Service/Operations (ServiceOps), discuss observability unification in modern IT operations ... 

Virtual Private Networks became a cornerstone of enterprise security at a time when corporate infrastructure looked very different from today ... For years, this model worked well. But the architecture behind VPNs assumed a centralized corporate environment—one where the network itself was the hub of activity. In a cloud — first world, that assumption no longer holds ...

Website outages get resolved just as fast in August as they do in November. I went looking for the opposite: the summer slowdown everyone assumes is there once the people who fix things are away. It isn't in the data we collected, covering 1.8 million confirmed outages across tens of thousands of websites ...

This year, many of the cloud infrastructure contracts signed in the early days of the AI boom will come up for renewal. As the year goes on, I anticipate we'll see a significant amount of cloud vendor swapouts and multi-cloud adoption, and the reason isn't just GPU depreciation. It's because they're tired of their current cloud providers ...

There's a moment the many observability teams have experienced days into bringing a new service into production: you realize that the vendor's claims of "intelligent" behavior included a large serving of hype. Their dashboards look nice until they don't, the failure modes are a black box, and no one on the team can confidently explain why the system did what it did at 2 am. Agentic AI is about to force every Ops team to relive that moment at web-scale until they start treating these systems as the dependencies they actually are ...