Skip to main content

Building on BSM with an IT Performance System

Michael Procopio

For a VP of operations, the cloud, virtualization and mobile communications are making BSM harder than ever. Unfortunately your business customers don’t care. They just want your services to work when, where and how they want them. And they don’t want them to cost too much either.

But here’s the issue: while effective, the tried and true approach to BSM—focusing on monitoring and measuring end-user experience—doesn’t provide the type of insight that a VP of operations needs. Today’s IT environment is just too complex. You need higher-level insights that are possible with an IT performance system.

The Solution: Make BSM the Foundation of an IT Performance System

IT performance systems help tame IT complexity and allow you to stay true to your BSM objectives. They can offer comprehensive, real-time visibility into everything underpinning your business services. You can monitor not only the end-user experience (BSM), but the entire IT environment impacting and surrounding that service. That includes your network, infrastructure, applications and all network-edge devices—computers, smart phones, tablets, etc.

Building on your BSM capabilities with an IT performance system allows you to gain broader and deeper insights into your organization’s performance. For example, do you know which service has the most emergency RFCs? Or, which service costs you the most in the number of IT staff to support? These insights can help you work on IT as opposed to just in IT, proving your value to the business. An IT performance system gives IT leaders a method for systematically managing IT, while also providing the means to demonstrate IT’s value and contribution to the business. To be more specific, imagine an automated, dashboard-driven system that monitors your entire IT environment and provides real-time performance reports in the form of key performance indicators (KPIs).

You Can’t Manage What You Can’t Measure

Accurate, timely and meaningful KPIs are critical to making a performance system work. Without them there’s no way to measure how your organization is performing. From an IT leader’s perspective, this means understanding the overall health of an IT organization, revealed through KPIs like:

- cost reduction
- operations versus innovation investment
- business strategy alignment
- customer satisfaction
- percent of SLAs not met
- percent of “healthy” versus “unhealthy” projects
- average cost of IT service per customer

Key Capabilities in an IT Performance System

In order for an IT performance system to complement your current BSM efforts, it’s important that it have the right mix of core capabilities.

Comprehensive—an IT performance system needs to monitor and measure your entire IT environment, from the data center and network to your applications and mobile devices. And that includes all service-delivery models—on-premise, cloud and hybrid.

Digital and automated—to use performance information (KPIs) effectively, you need the ability to access and understand that information quickly. You can’t do that with manually-created reports in spreadsheets. Your system needs to be automated and digital.

Real time— to maintain business service quality and reliability, you must be able to prevent problems before they occur. So Like BSM, an IT performance system needs to be real-time. You need to know how your systems are performing at any given moment.

Hot Topics

The Latest

As discussions around AI "autonomous coworkers" accelerate, many industry projections assume that agents will soon operate alongside human staff in making decisions, taking actions, and managing tasks with minimal oversight. But a growing number of critics (including some of the developers building these systems) argue that the industry still has a long way to go to be able to treat AI agents like fully trusted teammates ...

Enterprise AI has entered a transformational phase where, according to Digitate's recently released survey, Agentic AI and the Future of Enterprise IT, companies are moving beyond traditional automation toward Agentic AI systems designed to reason, adapt, and collaborate alongside human teams ...

The numbers back this urgency up. A recent Zapier survey shows that 92% of enterprises now treat AI as a top priority. Leaders want it, and teams are clamoring for it. But if you look closer at the operations of these companies, you see a different picture. The rollout is slow. The results are often delayed. There's a disconnect between what leaders want and what their technical infrastructure can handle ...

Kyndryl's 2025 Readiness Report revealed that 61% of global business and technology leaders report increasing pressure from boards and regulators to prove AI's ROI. As the technology evolves and expectations continue to rise, leaders are compelled to generate and prove impact before scaling further. This will lead to a decisive turning point in 2026 ...

Cloudflare's disruption illustrates how quickly a single provider's issue cascades into widespread exposure. Many organizations don't fully realize how tightly their systems are coupled to thirdparty services, or how quickly availability and security concerns align when those services falter ... You can't avoid these dependencies, but you can understand them ...

If you work with AI, you know this story. A model performs during testing, looks great in early reviews, works perfectly in production and then slowly loses relevance after operating for a while. Everything on the surface looks perfect — pipelines are running, predictions or recommendations are error-free, data quality checks show green; yet outcomes don't meet the ground reality. This pattern often repeats across enterprise AI programs. Take for example, a mid-sized retail banking and wealth-management firm with heavy investments in AI-powered risk analytics, fraud detection and personalized credit-decisioning systems. The model worked well for a while, but transactions increased, so did false positives by 18% ...

Basic uptime is no longer the gold standard. By 2026, network monitoring must do more than report status, it must explain performance in a hybrid-first world. Networks are no longer just static support systems; they are agile, distributed architectures that sit at the very heart of the customer experience and the business outcomes ... The following five trends represent the new standard for network health, providing a blueprint for teams to move from reactive troubleshooting to a proactive, integrated future ...

APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 5, the final installment, covers AI's impacts on IT teams ...

APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 4 covers negative impacts of AI ...

APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 3 covers barriers and challenges for AI ...

Building on BSM with an IT Performance System

Michael Procopio

For a VP of operations, the cloud, virtualization and mobile communications are making BSM harder than ever. Unfortunately your business customers don’t care. They just want your services to work when, where and how they want them. And they don’t want them to cost too much either.

But here’s the issue: while effective, the tried and true approach to BSM—focusing on monitoring and measuring end-user experience—doesn’t provide the type of insight that a VP of operations needs. Today’s IT environment is just too complex. You need higher-level insights that are possible with an IT performance system.

The Solution: Make BSM the Foundation of an IT Performance System

IT performance systems help tame IT complexity and allow you to stay true to your BSM objectives. They can offer comprehensive, real-time visibility into everything underpinning your business services. You can monitor not only the end-user experience (BSM), but the entire IT environment impacting and surrounding that service. That includes your network, infrastructure, applications and all network-edge devices—computers, smart phones, tablets, etc.

Building on your BSM capabilities with an IT performance system allows you to gain broader and deeper insights into your organization’s performance. For example, do you know which service has the most emergency RFCs? Or, which service costs you the most in the number of IT staff to support? These insights can help you work on IT as opposed to just in IT, proving your value to the business. An IT performance system gives IT leaders a method for systematically managing IT, while also providing the means to demonstrate IT’s value and contribution to the business. To be more specific, imagine an automated, dashboard-driven system that monitors your entire IT environment and provides real-time performance reports in the form of key performance indicators (KPIs).

You Can’t Manage What You Can’t Measure

Accurate, timely and meaningful KPIs are critical to making a performance system work. Without them there’s no way to measure how your organization is performing. From an IT leader’s perspective, this means understanding the overall health of an IT organization, revealed through KPIs like:

- cost reduction
- operations versus innovation investment
- business strategy alignment
- customer satisfaction
- percent of SLAs not met
- percent of “healthy” versus “unhealthy” projects
- average cost of IT service per customer

Key Capabilities in an IT Performance System

In order for an IT performance system to complement your current BSM efforts, it’s important that it have the right mix of core capabilities.

Comprehensive—an IT performance system needs to monitor and measure your entire IT environment, from the data center and network to your applications and mobile devices. And that includes all service-delivery models—on-premise, cloud and hybrid.

Digital and automated—to use performance information (KPIs) effectively, you need the ability to access and understand that information quickly. You can’t do that with manually-created reports in spreadsheets. Your system needs to be automated and digital.

Real time— to maintain business service quality and reliability, you must be able to prevent problems before they occur. So Like BSM, an IT performance system needs to be real-time. You need to know how your systems are performing at any given moment.

Hot Topics

The Latest

As discussions around AI "autonomous coworkers" accelerate, many industry projections assume that agents will soon operate alongside human staff in making decisions, taking actions, and managing tasks with minimal oversight. But a growing number of critics (including some of the developers building these systems) argue that the industry still has a long way to go to be able to treat AI agents like fully trusted teammates ...

Enterprise AI has entered a transformational phase where, according to Digitate's recently released survey, Agentic AI and the Future of Enterprise IT, companies are moving beyond traditional automation toward Agentic AI systems designed to reason, adapt, and collaborate alongside human teams ...

The numbers back this urgency up. A recent Zapier survey shows that 92% of enterprises now treat AI as a top priority. Leaders want it, and teams are clamoring for it. But if you look closer at the operations of these companies, you see a different picture. The rollout is slow. The results are often delayed. There's a disconnect between what leaders want and what their technical infrastructure can handle ...

Kyndryl's 2025 Readiness Report revealed that 61% of global business and technology leaders report increasing pressure from boards and regulators to prove AI's ROI. As the technology evolves and expectations continue to rise, leaders are compelled to generate and prove impact before scaling further. This will lead to a decisive turning point in 2026 ...

Cloudflare's disruption illustrates how quickly a single provider's issue cascades into widespread exposure. Many organizations don't fully realize how tightly their systems are coupled to thirdparty services, or how quickly availability and security concerns align when those services falter ... You can't avoid these dependencies, but you can understand them ...

If you work with AI, you know this story. A model performs during testing, looks great in early reviews, works perfectly in production and then slowly loses relevance after operating for a while. Everything on the surface looks perfect — pipelines are running, predictions or recommendations are error-free, data quality checks show green; yet outcomes don't meet the ground reality. This pattern often repeats across enterprise AI programs. Take for example, a mid-sized retail banking and wealth-management firm with heavy investments in AI-powered risk analytics, fraud detection and personalized credit-decisioning systems. The model worked well for a while, but transactions increased, so did false positives by 18% ...

Basic uptime is no longer the gold standard. By 2026, network monitoring must do more than report status, it must explain performance in a hybrid-first world. Networks are no longer just static support systems; they are agile, distributed architectures that sit at the very heart of the customer experience and the business outcomes ... The following five trends represent the new standard for network health, providing a blueprint for teams to move from reactive troubleshooting to a proactive, integrated future ...

APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 5, the final installment, covers AI's impacts on IT teams ...

APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 4 covers negative impacts of AI ...

APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 3 covers barriers and challenges for AI ...