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A Private Matter: Performance Management in the Private Cloud

One of the most important Business Service Management challenges facing companies right now is how to maintain performance management when migrating to the cloud. But the truth is that there are public clouds and private clouds, which are both very different – and consequently require very different ways of approaching monitoring, management and BSM.

Public cloud seems to be getting most of the press these days, which is not really fair, because private cloud seems to be getting most of the deployments.

“Our research is showing that private cloud adoption, and intent for adoption, is outweighing public cloud by a significant margin,” confirms Julie Craig, Research Director, Enterprise Management Associates (EMA). “Most of the companies that we deal with are moving rapidly towards private cloud adoption and less quickly towards public cloud adoption.”

Interestingly, the reasons behind the popularity of private cloud are related to Business Service Management. Craig explains, “Most companies want the visibility and control over their mission-critical deployments, which would be lacking if they move them to a public cloud.”

The Management Challenge

While the public cloud is a whole new approach to IT that involves outsourcing your infrastructure, the private cloud is simply a virtualized environment that serves the business side of the organization more efficiently by offering functionality such as usage metering, standardized service catalogs, and on-demand self-service provisioning. For this reason, private cloud brings much of the same challenges as the virtual environment, such as the need for a new type of monitoring tool designed for virtualization.

“Private clouds have highly virtualized environments, and we are just getting to the point right now where a lot of the traditional application and transaction management vendors are providing good visibility into virtualized environments,” says Craig. “Companies that do not have the ability to trace business services across virtualized environments are going to have to deal with that before they are going to be successful in terms of monitoring their private cloud.”

Craig also points out a difference between virtualization and private cloud – virtualization tends to have more infrastructure-focused monitoring capabilities, but as organizations move to private cloud, they need to focus more on monitoring applications and business services. This also happens to be a critical step towards Business Service Management.

Click here to read more about how private cloud drives Business Service Management.

Managing Across Hybrid Environments

Another challenge of monitoring and management in the private cloud is that for the present, most environments will be hybrid – some combination of cloud and physical, and even some combination between public and private cloud. In the hybrid environment, an organization could easily end up with multiple, disconnected management tool silos.

“It is important to have one monitoring solution that covers both physical assets and the private cloud,” says Ben Grubin, Director, Data Center Solutions, Novell. “There is a tendency that the more different environments you compute within – private cloud, public cloud, virtual and physical environments – the more different management stacks you have to maintain. This is untenable in the long run. They need to come together in a single pane of glass. You need to have a single management stack that is capable of working across all those environments.”

“Ultimately, it is important for companies to move toward comprehensive monitoring across the public and private cloud,” Craig agrees. “That is still forward thinking – I don’t think there are too many companies that are going to be doing that within the next year or so, just because it is going to take a while for management products to mature to that point. And also because it is going to take a while for adoption to mature to the point.”

“But this is something to keep in mind as you purchase new products, to look at the capability and even just the direction of the vendor in terms of whether they will be able to support capabilities like bursting,” Craig adds, referring to the capability to switch applications from private to public cloud as needed, such as during a periodic spike in usage. “If you want to be able to do those kinds of things, you are going to need products in place that can support that.”

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A Private Matter: Performance Management in the Private Cloud

One of the most important Business Service Management challenges facing companies right now is how to maintain performance management when migrating to the cloud. But the truth is that there are public clouds and private clouds, which are both very different – and consequently require very different ways of approaching monitoring, management and BSM.

Public cloud seems to be getting most of the press these days, which is not really fair, because private cloud seems to be getting most of the deployments.

“Our research is showing that private cloud adoption, and intent for adoption, is outweighing public cloud by a significant margin,” confirms Julie Craig, Research Director, Enterprise Management Associates (EMA). “Most of the companies that we deal with are moving rapidly towards private cloud adoption and less quickly towards public cloud adoption.”

Interestingly, the reasons behind the popularity of private cloud are related to Business Service Management. Craig explains, “Most companies want the visibility and control over their mission-critical deployments, which would be lacking if they move them to a public cloud.”

The Management Challenge

While the public cloud is a whole new approach to IT that involves outsourcing your infrastructure, the private cloud is simply a virtualized environment that serves the business side of the organization more efficiently by offering functionality such as usage metering, standardized service catalogs, and on-demand self-service provisioning. For this reason, private cloud brings much of the same challenges as the virtual environment, such as the need for a new type of monitoring tool designed for virtualization.

“Private clouds have highly virtualized environments, and we are just getting to the point right now where a lot of the traditional application and transaction management vendors are providing good visibility into virtualized environments,” says Craig. “Companies that do not have the ability to trace business services across virtualized environments are going to have to deal with that before they are going to be successful in terms of monitoring their private cloud.”

Craig also points out a difference between virtualization and private cloud – virtualization tends to have more infrastructure-focused monitoring capabilities, but as organizations move to private cloud, they need to focus more on monitoring applications and business services. This also happens to be a critical step towards Business Service Management.

Click here to read more about how private cloud drives Business Service Management.

Managing Across Hybrid Environments

Another challenge of monitoring and management in the private cloud is that for the present, most environments will be hybrid – some combination of cloud and physical, and even some combination between public and private cloud. In the hybrid environment, an organization could easily end up with multiple, disconnected management tool silos.

“It is important to have one monitoring solution that covers both physical assets and the private cloud,” says Ben Grubin, Director, Data Center Solutions, Novell. “There is a tendency that the more different environments you compute within – private cloud, public cloud, virtual and physical environments – the more different management stacks you have to maintain. This is untenable in the long run. They need to come together in a single pane of glass. You need to have a single management stack that is capable of working across all those environments.”

“Ultimately, it is important for companies to move toward comprehensive monitoring across the public and private cloud,” Craig agrees. “That is still forward thinking – I don’t think there are too many companies that are going to be doing that within the next year or so, just because it is going to take a while for management products to mature to that point. And also because it is going to take a while for adoption to mature to the point.”

“But this is something to keep in mind as you purchase new products, to look at the capability and even just the direction of the vendor in terms of whether they will be able to support capabilities like bursting,” Craig adds, referring to the capability to switch applications from private to public cloud as needed, such as during a periodic spike in usage. “If you want to be able to do those kinds of things, you are going to need products in place that can support that.”

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 ...