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6 Ways IT Infrastructure Performance Management Improves Your Bottom Line

Tim Conley

"A chain is no stronger than its weakest link." — William James

Companies have traditionally monitored their IT infrastructure's components in isolation — servers, storage, SAN, and applications. Sometimes, they have even divided the pie further, looking at technology brands separately. Taking a piecemeal approach to managing IT infrastructure is like inspecting individual links in a chain and not realizing one is missing. Without it, the chain cannot perform its job.

Today, however, there is an increasing recognition of the interconnected nature of the information technology environment. Also, user expectations and IT complexity are rising. As a result, IT infrastructure performance management (IPM) is becoming more popular. Companies practicing IPM are realizing the benefits it delivers to the bottom line. They include the ability to:

1. Satisfy Customers

Many of today's applications serve up responses instantaneously whenever and wherever users may be. As a result, customers' expectations have risen. Instant gratification has become the name of the game, and seconds count. Take web pages, for example. People will hang around for a mere two seconds for a web page to load. After that, every second of delay results in seven percent fewer conversions (Thomas Fisher: Embracing a New Generation of APM Strategies).

In a world where impatience rules, companies that cater to it can gain competitive advantage. On the flip side, those that ignore it will likely lose market share.

A sound IT infrastructure can help those listening to the voice of the customer. It allows them to deliver responsive websites and applications, and thus achieve top goals for digital initiatives — improving the customer experience, acquiring new customers, and increasing customer engagement and loyalty. (IDG Strategic Marketing Services, Hybrid Cloud Computing; The Great Enabler of Digital Business.)

2. Protect Brand Reputation

Twitter, Microsoft, Apple, Salesforce, PayPal and Delta. What do these brands have in common? This year, they all suffered outages.

Many of us remember the chaotic images surrounding Delta's downtime. With more than 800 flight cancellations, passengers were stranded, and check-in lines snaked through airports around the world. While such visual mayhem is particularly devastating, no brand can afford to gamble with the aftermaths of an event that leaves them powerless to serve their customers.

3. Raise Productivity and Revenues

People are both expensive and essential to revenue generation. Because of this, companies need tools that empower them to be as productive as possible. Bear in mind that even a one percent increase in the output of 100 employees is equivalent to the results you could achieve by hiring one new full-time employee.

4. Lower IT Costs

Despite the opportunities that technology offers to increase productivity and create revenue generating apps, IT budgets remain stagnant. Gartner expects worldwide IT spending to decline by 0.3 percent this year.

With budget constraints tightening, the age of over-provisioning to meet user demands is on its way out. To lower costs, IT leaders must now explore opportunities for server and storage consolidation, data center and cloud migration, and increased utilization.

5. Better Plan Mergers and Acquisitions

Mergers and acquisitions raise concerns about whether a company has the IT capacity to absorb the new organization's technology workloads, whether new assets are required, and how best to consolidate technology.

To answer these questions, you need visibility to a detailed history of your IT infrastructure metrics and those of the other organization. Also, you need an easy way to group assets you plan to absorb or divest, so you can analyze their requirements and answer "What if?" questions. Such an analysis enables you to determine the technology you need to buy or sell.

6. Increase Stock Value

Because IPM improves customer experiences, enhances brand reputations, increases productivity and revenues, lowers costs, and enables better IT planning for mergers and acquisitions, it has the power to fatten up bottom lines. And that's a recipe for increasing stock values.

Given these benefits, it's time to focus on managing your IT infrastructure's performance. This practice will enable you to optimize data centers to meet the digital needs of customers and employees while maximizing your ROI on technology.

Tim Conley is Co-Founder and Principal of Galileo Performance Explorer.

Hot Topics

The Latest

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 ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

6 Ways IT Infrastructure Performance Management Improves Your Bottom Line

Tim Conley

"A chain is no stronger than its weakest link." — William James

Companies have traditionally monitored their IT infrastructure's components in isolation — servers, storage, SAN, and applications. Sometimes, they have even divided the pie further, looking at technology brands separately. Taking a piecemeal approach to managing IT infrastructure is like inspecting individual links in a chain and not realizing one is missing. Without it, the chain cannot perform its job.

Today, however, there is an increasing recognition of the interconnected nature of the information technology environment. Also, user expectations and IT complexity are rising. As a result, IT infrastructure performance management (IPM) is becoming more popular. Companies practicing IPM are realizing the benefits it delivers to the bottom line. They include the ability to:

1. Satisfy Customers

Many of today's applications serve up responses instantaneously whenever and wherever users may be. As a result, customers' expectations have risen. Instant gratification has become the name of the game, and seconds count. Take web pages, for example. People will hang around for a mere two seconds for a web page to load. After that, every second of delay results in seven percent fewer conversions (Thomas Fisher: Embracing a New Generation of APM Strategies).

In a world where impatience rules, companies that cater to it can gain competitive advantage. On the flip side, those that ignore it will likely lose market share.

A sound IT infrastructure can help those listening to the voice of the customer. It allows them to deliver responsive websites and applications, and thus achieve top goals for digital initiatives — improving the customer experience, acquiring new customers, and increasing customer engagement and loyalty. (IDG Strategic Marketing Services, Hybrid Cloud Computing; The Great Enabler of Digital Business.)

2. Protect Brand Reputation

Twitter, Microsoft, Apple, Salesforce, PayPal and Delta. What do these brands have in common? This year, they all suffered outages.

Many of us remember the chaotic images surrounding Delta's downtime. With more than 800 flight cancellations, passengers were stranded, and check-in lines snaked through airports around the world. While such visual mayhem is particularly devastating, no brand can afford to gamble with the aftermaths of an event that leaves them powerless to serve their customers.

3. Raise Productivity and Revenues

People are both expensive and essential to revenue generation. Because of this, companies need tools that empower them to be as productive as possible. Bear in mind that even a one percent increase in the output of 100 employees is equivalent to the results you could achieve by hiring one new full-time employee.

4. Lower IT Costs

Despite the opportunities that technology offers to increase productivity and create revenue generating apps, IT budgets remain stagnant. Gartner expects worldwide IT spending to decline by 0.3 percent this year.

With budget constraints tightening, the age of over-provisioning to meet user demands is on its way out. To lower costs, IT leaders must now explore opportunities for server and storage consolidation, data center and cloud migration, and increased utilization.

5. Better Plan Mergers and Acquisitions

Mergers and acquisitions raise concerns about whether a company has the IT capacity to absorb the new organization's technology workloads, whether new assets are required, and how best to consolidate technology.

To answer these questions, you need visibility to a detailed history of your IT infrastructure metrics and those of the other organization. Also, you need an easy way to group assets you plan to absorb or divest, so you can analyze their requirements and answer "What if?" questions. Such an analysis enables you to determine the technology you need to buy or sell.

6. Increase Stock Value

Because IPM improves customer experiences, enhances brand reputations, increases productivity and revenues, lowers costs, and enables better IT planning for mergers and acquisitions, it has the power to fatten up bottom lines. And that's a recipe for increasing stock values.

Given these benefits, it's time to focus on managing your IT infrastructure's performance. This practice will enable you to optimize data centers to meet the digital needs of customers and employees while maximizing your ROI on technology.

Tim Conley is Co-Founder and Principal of Galileo Performance Explorer.

Hot Topics

The Latest

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 ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.