Skip to main content

Managing Data Center Costs with BSM

Often, IT budget costs appear expensive as a result of being inflated by arbitrary allocation and loading of costs that should be shared or are otherwise improperly assigned. Unfortunately, old habits die-hard and the misallocation of costs continues to the detriment of both the organization and mainframe computing. The results are business decisions that result in more expensive, less efficient computing operations. This can be remedied using today’s automated cost tracking and reporting tools in conjunction with a program of cost optimization.

The Cost Reduction Trap

The success of IT operations is all about the cost effective and performance compliant delivery of the specific services that the enterprise, business or customer operations need and demand. A critical, and all too frequently poorly implemented, element of that delivery is managing the costs of data center operations. This is especially true during tough economic times when the pressure is on to review and reduce costs to improve bottom line performance as quickly as possible. All too frequently, the activity becomes an operational trap as the focus almost immediately degrades to a focus on highly visible, sweeping budget cuts, with little real analysis of and attention to the impact on operations and service delivery. The history of IT cost reporting has been notable more for casualness than accuracy.

An aggressive cost reduction strategy will attempt a fast return by identifying and cutting big-ticket budget items and removing staff. Such actions are usually compounded by poor decision-making with actions based on inaccurate cost data. Such efforts fail to deliver lasting savings as the rush to cut ‘low-hanging’ fruit fails to address less obvious inefficiencies and process problems that will continue to undercut performance unnoticed and uncorrected.

Misapplied infrastructure and staffing cuts degrades service performance and delivery levels. The result is to alienate customers (users), reduce revenues and increase costs due to inefficiencies in operations.

Most cost reduction programs fail for one or more of these reasons:

1. Lack of accurate data on costs and return, partially a result of using bad data and partially a lack of understanding of operational processes.

2. The tactical nature of programs focused on high profile items thus chasing symptoms rather than identifying and eliminating systemic operational and utilization problems.

3. Operating with a limited vision that focuses on silos of operational costs rather than trying to identify cross-functional problems due to outmoded policies, processes and procedures.

Cost Optimization with BSM

Successful Business Service Management (BSM) includes a cost management program, where cost optimization – not simply cost cutting – is the major focus and guiding principle. The object of the exercise is to make sure the best return is obtained from every dollar spent, while assuring the optimal utilization of data center infrastructure. The ‘return’ being measured is the contribution to and support of the successful delivery of business critical services by IT.

Cost optimization requires an emphasis on an accurate understanding of the cost of a service delivery. Bad data risks cutting critical IT services or making damaging changes to infrastructure that will negatively impact its contribution to business success. Today’s cost tracking tools can accurately relate IT infrastructure costs to service delivery. They include customizable reports on the use of IT infrastructure, by whom, for how long and to what purpose and effect. Such data when combined with automated performance management tools yields longer-lasting, more effective results than any aggressive but miss-focused cost reduction effort.

Accurate data relating costs to services allows you to build a comprehensive view of operations to identify savings opportunities. An end-to-end view of enterprise IT operations provides an understanding of the processes, policies and interactions involved in the delivery of business services. This enables the identification of outmoded, unnecessary or conflict causing operational inefficiencies for change or elimination.

The Final Word: Success in business is not a matter of simply reducing costs and eliminating expenses. For today’s service oriented enterprises, unreflective pursuit of the cheapest solutions and short-cut business practices can cause irreparable damage to customer relationships. Making the best business decisions requires an accurate understanding and allocation of the costs of doing business in order to optimize resource utilization and performance.

About Rich Ptak

Rich Ptak, Managing Partner at Ptak, Noel & Associates LLC. has over 30 years experience in systems product management, working closely with Fortune 50 companies in developing product direction and strategies at a global level. Previously Ptak held positions as Senior Vice President at Hurwitz Group and D.H. Brown Associates. Earlier in his career he held engineering and marketing management positions with Western Electric’s Electronic Switch Manufacturing Division and Digital Equipment Corporation. He is frequently quoted in major business and trade press. Ptak holds a master’s in business administration from the University of Chicago and a master of science in engineering from Kansas State University.

Hot Topics

The Latest

I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...

Managing Data Center Costs with BSM

Often, IT budget costs appear expensive as a result of being inflated by arbitrary allocation and loading of costs that should be shared or are otherwise improperly assigned. Unfortunately, old habits die-hard and the misallocation of costs continues to the detriment of both the organization and mainframe computing. The results are business decisions that result in more expensive, less efficient computing operations. This can be remedied using today’s automated cost tracking and reporting tools in conjunction with a program of cost optimization.

The Cost Reduction Trap

The success of IT operations is all about the cost effective and performance compliant delivery of the specific services that the enterprise, business or customer operations need and demand. A critical, and all too frequently poorly implemented, element of that delivery is managing the costs of data center operations. This is especially true during tough economic times when the pressure is on to review and reduce costs to improve bottom line performance as quickly as possible. All too frequently, the activity becomes an operational trap as the focus almost immediately degrades to a focus on highly visible, sweeping budget cuts, with little real analysis of and attention to the impact on operations and service delivery. The history of IT cost reporting has been notable more for casualness than accuracy.

An aggressive cost reduction strategy will attempt a fast return by identifying and cutting big-ticket budget items and removing staff. Such actions are usually compounded by poor decision-making with actions based on inaccurate cost data. Such efforts fail to deliver lasting savings as the rush to cut ‘low-hanging’ fruit fails to address less obvious inefficiencies and process problems that will continue to undercut performance unnoticed and uncorrected.

Misapplied infrastructure and staffing cuts degrades service performance and delivery levels. The result is to alienate customers (users), reduce revenues and increase costs due to inefficiencies in operations.

Most cost reduction programs fail for one or more of these reasons:

1. Lack of accurate data on costs and return, partially a result of using bad data and partially a lack of understanding of operational processes.

2. The tactical nature of programs focused on high profile items thus chasing symptoms rather than identifying and eliminating systemic operational and utilization problems.

3. Operating with a limited vision that focuses on silos of operational costs rather than trying to identify cross-functional problems due to outmoded policies, processes and procedures.

Cost Optimization with BSM

Successful Business Service Management (BSM) includes a cost management program, where cost optimization – not simply cost cutting – is the major focus and guiding principle. The object of the exercise is to make sure the best return is obtained from every dollar spent, while assuring the optimal utilization of data center infrastructure. The ‘return’ being measured is the contribution to and support of the successful delivery of business critical services by IT.

Cost optimization requires an emphasis on an accurate understanding of the cost of a service delivery. Bad data risks cutting critical IT services or making damaging changes to infrastructure that will negatively impact its contribution to business success. Today’s cost tracking tools can accurately relate IT infrastructure costs to service delivery. They include customizable reports on the use of IT infrastructure, by whom, for how long and to what purpose and effect. Such data when combined with automated performance management tools yields longer-lasting, more effective results than any aggressive but miss-focused cost reduction effort.

Accurate data relating costs to services allows you to build a comprehensive view of operations to identify savings opportunities. An end-to-end view of enterprise IT operations provides an understanding of the processes, policies and interactions involved in the delivery of business services. This enables the identification of outmoded, unnecessary or conflict causing operational inefficiencies for change or elimination.

The Final Word: Success in business is not a matter of simply reducing costs and eliminating expenses. For today’s service oriented enterprises, unreflective pursuit of the cheapest solutions and short-cut business practices can cause irreparable damage to customer relationships. Making the best business decisions requires an accurate understanding and allocation of the costs of doing business in order to optimize resource utilization and performance.

About Rich Ptak

Rich Ptak, Managing Partner at Ptak, Noel & Associates LLC. has over 30 years experience in systems product management, working closely with Fortune 50 companies in developing product direction and strategies at a global level. Previously Ptak held positions as Senior Vice President at Hurwitz Group and D.H. Brown Associates. Earlier in his career he held engineering and marketing management positions with Western Electric’s Electronic Switch Manufacturing Division and Digital Equipment Corporation. He is frequently quoted in major business and trade press. Ptak holds a master’s in business administration from the University of Chicago and a master of science in engineering from Kansas State University.

Hot Topics

The Latest

I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...