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Driving Business Service Management with Private Cloud

Private cloud might be one of the best things to ever happen to Business Service Management. Private cloud inherently requires the company to be more focused on the needs of the business side of the organization, which leads directly to aligning IT performance with the business needs. Because of this, the move to private cloud is driving Business Service Management in many organizations.

Private cloud refers to enterprises turning their own internal IT into a cloud – not just a shared resource provided by virtualization but also metered usage, a standardized service catalog, and a self-service portal. So private cloud is really about defining that interface between IT and the business. With private cloud, the business can interact with IT in a more transparent way.

Business Service Management and private cloud are inextricably linked. In order to offer IT as a service to the business, you cannot simply build the foundation of a private cloud. Defining the service catalog template, exposing those services to business, allowing them to choose appropriate service levels, and monitor and manage them to ensure they are meeting service-level targets – those are all critical functions of a private cloud, and they force you to think in terms of business services.

By requiring the process of developing a service catalog and developing standardized business services, private cloud forces you to justify why you have these components in your service catalog. You need to meter private cloud usage because you need to be able to charge people for what they use. So you need to assign a cost to those business services, and that cost must have a business justification associated with it. Consequently, private cloud helps you justify why you operate certain services in IT, and this helps IT align itself to the business – making sure the services are bringing value to the business, not created just for creations sake.

There has been a hump to get over with virtualization. We have seen companies that have virtualized 20-30% of their workloads and then stopped. It is not because they decided not to go further, it is because they have done the easy 20-30%, the non-mission critical applications. Now they are struggling to virtualize the mission-critical applications that they run their businesses on. And that has been a huge challenge, because virtualization itself doesn't get the job done. You need end-to-end Business Service Management to monitor, manage and control those applications.

You need strong monitoring in the cloud, strong measurement and strong SLAs, otherwise the business responsible for running that mission-critical application will never allow it to be virtualized. Private cloud is adding all of those extra IT service management capabilities that are necessary to make it viable to put mission-critical applications in the cloud.

About Benjamin Grubin

Benjamin Grubin is the Director of Data Center Management at Novell, responsible for the strategic direction and product portfolio that addresses data center infrastructure, cloud computing, and intelligent workload management worldwide. During the past 15 years he has served in a number of roles including engineering, consulting, and marketing.

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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 ...

Driving Business Service Management with Private Cloud

Private cloud might be one of the best things to ever happen to Business Service Management. Private cloud inherently requires the company to be more focused on the needs of the business side of the organization, which leads directly to aligning IT performance with the business needs. Because of this, the move to private cloud is driving Business Service Management in many organizations.

Private cloud refers to enterprises turning their own internal IT into a cloud – not just a shared resource provided by virtualization but also metered usage, a standardized service catalog, and a self-service portal. So private cloud is really about defining that interface between IT and the business. With private cloud, the business can interact with IT in a more transparent way.

Business Service Management and private cloud are inextricably linked. In order to offer IT as a service to the business, you cannot simply build the foundation of a private cloud. Defining the service catalog template, exposing those services to business, allowing them to choose appropriate service levels, and monitor and manage them to ensure they are meeting service-level targets – those are all critical functions of a private cloud, and they force you to think in terms of business services.

By requiring the process of developing a service catalog and developing standardized business services, private cloud forces you to justify why you have these components in your service catalog. You need to meter private cloud usage because you need to be able to charge people for what they use. So you need to assign a cost to those business services, and that cost must have a business justification associated with it. Consequently, private cloud helps you justify why you operate certain services in IT, and this helps IT align itself to the business – making sure the services are bringing value to the business, not created just for creations sake.

There has been a hump to get over with virtualization. We have seen companies that have virtualized 20-30% of their workloads and then stopped. It is not because they decided not to go further, it is because they have done the easy 20-30%, the non-mission critical applications. Now they are struggling to virtualize the mission-critical applications that they run their businesses on. And that has been a huge challenge, because virtualization itself doesn't get the job done. You need end-to-end Business Service Management to monitor, manage and control those applications.

You need strong monitoring in the cloud, strong measurement and strong SLAs, otherwise the business responsible for running that mission-critical application will never allow it to be virtualized. Private cloud is adding all of those extra IT service management capabilities that are necessary to make it viable to put mission-critical applications in the cloud.

About Benjamin Grubin

Benjamin Grubin is the Director of Data Center Management at Novell, responsible for the strategic direction and product portfolio that addresses data center infrastructure, cloud computing, and intelligent workload management worldwide. During the past 15 years he has served in a number of roles including engineering, consulting, and marketing.

Hot Topics

The Latest

Most organizations approach OpenTelemetry as a collection of individual tools they need to assemble from scratch. This view misses the bigger picture. OpenTelemetry is a complete telemetry framework with composable components that address specific problems at different stages of organizational maturity. You start with what you need today and adopt additional pieces as your observability practices evolve ...

One of the earliest lessons I learned from architecting throughput-heavy services is that simplicity wins repeatedly: fewer moving parts, loosely coupled execution (fewer synchronous calls), and precise timing metering. You want data and decisions to travel the shortest possible path. The goal is to build a system where every strategy and each line of code (contention is the key metric) complements the decision trees ...

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 ...