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How Do You Prove Cloud ROI? IT Performance Systems Help

Michael Procopio

I saw a survey in an interesting article the other day by ZDNet blogger Joe McKendrick. McKendrick cites a new cloud survey for The Open Group. The survey indicated that many believe cloud will bring favorable ROI to IT shops, but they lack a mechanism to track results.

ROI is a purely financial calculation which is usually expressed as dollar amount or a percentage. The catch is many IT shops don’t know what a project or a service costs. If you don’t know how much you will invest to get to cloud and how much cost you will take out by doing it (return), ROI will stay illusive.

Cloud computing is predicted by many to be a fundamental shift in the way IT works. As more public cloud applications become available, which are nicely prices on a per user per month basis – IT management is going to need to have the same information and more.

Good or bad, the per user per month metric is not the only consideration your company has of you if it matches most of those surveyed. Agility, innovation, business alignment and more are being asked of IT management. All these are hard to measure now. Cloud adds more moving parts which rarely makes things easier.

What to do? Start now creating your own IT Performance system. How, starting thinking about all the KPIs (key performance indicators) you wish you had that can be derived from data that exists somewhere in the organization.
Here are some examples:

*  % of Service Performance Not Met
*  MTBF (mean time between failure)
*  MTTR (mean time to repair)
*  Time-To-Market of New IT Products or Services (from the time there is agreement we will do project zebra to the time IT says the zebra is ready for production)

The way you will prove ROI is seeing improvement in these (and other) measures after moving to cloud.

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How Do You Prove Cloud ROI? IT Performance Systems Help

Michael Procopio

I saw a survey in an interesting article the other day by ZDNet blogger Joe McKendrick. McKendrick cites a new cloud survey for The Open Group. The survey indicated that many believe cloud will bring favorable ROI to IT shops, but they lack a mechanism to track results.

ROI is a purely financial calculation which is usually expressed as dollar amount or a percentage. The catch is many IT shops don’t know what a project or a service costs. If you don’t know how much you will invest to get to cloud and how much cost you will take out by doing it (return), ROI will stay illusive.

Cloud computing is predicted by many to be a fundamental shift in the way IT works. As more public cloud applications become available, which are nicely prices on a per user per month basis – IT management is going to need to have the same information and more.

Good or bad, the per user per month metric is not the only consideration your company has of you if it matches most of those surveyed. Agility, innovation, business alignment and more are being asked of IT management. All these are hard to measure now. Cloud adds more moving parts which rarely makes things easier.

What to do? Start now creating your own IT Performance system. How, starting thinking about all the KPIs (key performance indicators) you wish you had that can be derived from data that exists somewhere in the organization.
Here are some examples:

*  % of Service Performance Not Met
*  MTBF (mean time between failure)
*  MTTR (mean time to repair)
*  Time-To-Market of New IT Products or Services (from the time there is agreement we will do project zebra to the time IT says the zebra is ready for production)

The way you will prove ROI is seeing improvement in these (and other) measures after moving to cloud.

Hot Topics

The Latest

Payment system failures are putting $44.4 billion in US retail and hospitality sales at risk each year, underscoring how quickly disruption can derail day-to-day trading, according to research conducted by Dynatrace ... The findings show that payment failures are no longer isolated incidents, but part of a recurring operational challenge that disrupts service, damages customer trust, and negatively impacts revenue ...

For years, the success of DevOps has been measured by how much manual work teams can automate ... I believe that in 2026, the definition of DevOps success is going to expand significantly. The era of automation is giving way to the era of intelligent delivery, in which AI doesn't just accelerate pipelines, it understands them. With open observability connecting signals end-to-end across those tools, teams can build closed-loop systems that don't just move faster, but learn, adapt, and take action autonomously with confidence ...

The conversation around AI in the enterprise has officially shifted from "if" to "how fast." But according to the State of Network Operations 2026 report from Broadcom, most organizations are unknowingly building their AI strategies on sand. The data is clear: CIOs and network teams are putting the cart before the horse. AI cannot improve what the network cannot see, predict issues without historical context, automate processes that aren't standardized, or recommend fixes when the underlying telemetry is incomplete. If AI is the brain, then network observability is the nervous system that makes intelligent action possible ...

SolarWinds data shows that one in three DBAs are contemplating leaving their positions — a striking indicator of workforce pressure in this role. This is likely due to the technical and interpersonal frustrations plaguing today's DBAs. Hybrid IT environments provide widespread organizational benefits but also present growing complexity. Simultaneously, AI presents a paradox of benefits and pain points ...

Over the last year, we've seen enterprises stop treating AI as “special projects.” It is no longer confined to pilots or side experiments. AI is now embedded in production, shaping decisions, powering new business models, and changing how employees and customers experience work every day. So, the debate of "should we adopt AI" is settled. The real question is how quickly and how deeply it can be applied ...

In MEAN TIME TO INSIGHT Episode 20, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA presents his 2026 NetOps predictions ... 

Today, technology buyers don't suffer from a lack of information but an abundance of it. They need a trusted partner to help them navigate this information environment ...

My latest title for O'Reilly, The Rise of Logical Data Management, was an eye-opener for me. I'd never heard of "logical data management," even though it's been around for several years, but it makes some extraordinary promises, like the ability to manage data without having to first move it into a consolidated repository, which changes everything. Now, with the demands of AI and other modern use cases, logical data management is on the rise, so it's "new" to many. Here, I'd like to introduce you to it and explain how it works ...

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