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Q&A: Gartner Talks About APM - Part One

Pete Goldin
APMdigest

In Part One of APMdigest's exclusive interview, Will Cappelli, Gartner Research VP in Enterprise Management, talks about the growing importance of Application Performance Management.

APM: Where does management of critical applications lie on the Chief Technology Officer's to do list? Are you seeing CTO's take more interest in application performance?

Absolutely. There is no question that not only has the general interest in application performance monitoring or management increased, but the level of interest in the area has increased significantly over the last year. Approximately 20-25% of the inquiries I get about APM has some kind of executive involvement. It is either being asked directly by the CIO or by a representative of the CIOs office. The overall general interest in the subject matter has increased investment in the technology, but the profile of the application performance management problem space as risen in the organizational hierarchy as well.

APM: Are the C-level executives checking an APM dashboard periodically throughout the day?

Actually, yes. There is always some overstatement with regard to the degree with which the higher-level executives actually look at these dashboards on a regular basis, not just for APM but for many of these kinds of metrics. But we do find that there is a demand for higher-level business-oriented dashboards and they are available to the C-level executives who will give them the occasional lookover. Clearly the demand is there. And if you look at the many of the recent releases of APM products, they are accompanied now by higher-level dashboarding capabilities.

APM: Is application performance becoming the new playing field were business and IT are meeting today?

It is certainly an area where there is a lot of intersection of concerns – for the obvious reason that applications are precisely the point at which IT intersects the business processes, and more and more business processes are grounding themselves in IT-based applications.

So there has been an increased interest in applications, on the business side, because the business has become aware of the role that IT plays in helping to generate revenues, and sees what IT is doing for the business, primarily in terms of applications. It has also helped that, on the consumer side, the entire world has become much more aware of the concept of the application, and that has given a vocabulary to the business executive to allow him or her to talk about application performance.

So there are a lot of different factors that are converging that make application performance management and monitoring the subject of interest to the business executive. And indeed an interesting point to make in general about the market is that one of the drivers for the interest in APM on the part of IT was the fact that the businesses began to demand it. Around the 2006-2007 time frame, it was the business side that pulled IT operations away from its historical focus on infrastructure and infrastructure events to a focus on applications as the organizing principle for enterprise management.

APM: The recent Gartner Magic Quadrant on APM states that 20% of the Global 2000 are reconstructing their IT on monitoring and management of applications rather than infrastructure. Why one rather than the other? Why not both?

Certainly, one needs to continue to monitor the infrastructure. But unless you are monitoring the application, and the application's behavior and performance, the data that you are getting from the infrastructure is going to be very difficult to make sense out of. It is going to be very difficult to effectively utilize. Once you are monitoring application performance, suddenly the infrastructure monitoring becomes a lot more valuable. Without APM as a structuring principle, there is an enormous complexity and a lack of clarity as to the meaning of the events that are taking place at the infrastructure level.

So, yes, in the ideal world you would do both application performance monitoring and infrastructure monitoring, but even if you could invest in full monitoring up and down the stack, it would still make sense to organize all of that around the monitoring of the application's performance.

APM: APM is growing in popularity right around the same time that cloud is taking hold. Are these two events connected? Do you see APM becoming more necessary because of cloud and virtualization?

I think they are related to one another. Whether you're using cloud-based infrastructure components, cloud-based platform components or cloud-based applications themselves, your ability to monitor the infrastructure becomes limited. So you are increasingly reliant upon what you can monitor from the application's perspective, to get information about what is going on in your system.

Then, within APM, end-user experience monitoring becomes essential, because it is a question of what you can see. Your ability to at least see the external, user-facing aspects of the application is significantly greater. So we are finding that as organizations are deploying cloud more aggressively, they rely more heavily upon APM, and within APM, end-user experience monitoring and all of the analytical capabilities that come with these systems.

Click here to read Part Two of the APMdigest interview with Will Cappelli, Gartner Research VP in Enterprise Management.

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IT organizations have historically measured success by how quickly they can respond when something goes wrong. The entire discipline of Incident Management has been optimized around mean time to resolution, first-response SLAs and ticket closure rates. But new research suggests that even though this is a well-executed playbook, it's no longer enough to retain customers ...

Production incidents rarely announce themselves as database problems. They appear as slow transactions, timeouts, rising response times, or an application struggling under a workload it previously handled. APM provides an essential starting point. It can identify a slow transaction path, highlight an affected service, and show that a database dependency is consuming more time than expected. But identifying the database as part of the problem is not the same as explaining what is happening inside it ...

Cloud teams are under constant pressure to reduce spend without slowing development or increasing operational risk. They are deploying autoscalers, rightsizing workloads, enforcing resource requests, reviewing utilization dashboards, and building FinOps processes around cloud-native environments. Yet the results often disappoint ...

Ask most IT leaders about their biggest concern with AI and you'll hear the same answer: hallucinations ... Today, however, the conversation has shifted ... As organizations move beyond chatbots and experiments, they are increasingly deploying AI agents that perform multi-step tasks. These systems retrieve documents, query databases, call APIs, generate reports, write code, and make recommendations. The issue is not whether the model can reason. The issue is whether the organization can see, verify, and govern the decisions being made along the way ...

While organizations want to take control of their telemetry, building telemetry pipelines from scratch can be a very daunting, complicated task, even when leveraging open-source standards like OpenTelemetry. It requires specialized knowledge across distributed systems, data engineering, and security. This fragmented approach across systems causes higher operational costs; it puts a strain on resources and reduces efficiency as teams have to work with different interfaces and processes ...

For decades, enterprise networks were designed around a simple assumption: work happened inside the office. Applications lived in centralized data centers, employees connected through internal infrastructure, and security focused on protecting the perimeter that surrounded everything ... But the way organizations operate today bears little resemblance to that environment. Cloud platforms host critical applications, employees connect from homes and airports as often as they do from offices, and partners collaborate through shared systems that exist far beyond corporate walls. In short, the corporate network no longer resembles the environment it was designed to protect ...

As an analyst who researches how IT organizations design, build, and operate their networks, I find that network data is a constant source of pain. Network teams struggle with data quality, fragmentation, authority, access, and trust. And these issues undermine everything they try to do. Here are the numbers: Only 45% of network teams are completely confident in the accuracy of their network source of truth, which documents the intent of their network ...

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Certificate expiration is the rare outage you can see coming. Every TLS certificate carries the date it stops working, so the moment it will begin breaking connections is knowable in advance. That's what makes an expired certificate such a frustrating way to lose a service. What's changing now is how often that date comes around ...

Q&A: Gartner Talks About APM - Part One

Pete Goldin
APMdigest

In Part One of APMdigest's exclusive interview, Will Cappelli, Gartner Research VP in Enterprise Management, talks about the growing importance of Application Performance Management.

APM: Where does management of critical applications lie on the Chief Technology Officer's to do list? Are you seeing CTO's take more interest in application performance?

Absolutely. There is no question that not only has the general interest in application performance monitoring or management increased, but the level of interest in the area has increased significantly over the last year. Approximately 20-25% of the inquiries I get about APM has some kind of executive involvement. It is either being asked directly by the CIO or by a representative of the CIOs office. The overall general interest in the subject matter has increased investment in the technology, but the profile of the application performance management problem space as risen in the organizational hierarchy as well.

APM: Are the C-level executives checking an APM dashboard periodically throughout the day?

Actually, yes. There is always some overstatement with regard to the degree with which the higher-level executives actually look at these dashboards on a regular basis, not just for APM but for many of these kinds of metrics. But we do find that there is a demand for higher-level business-oriented dashboards and they are available to the C-level executives who will give them the occasional lookover. Clearly the demand is there. And if you look at the many of the recent releases of APM products, they are accompanied now by higher-level dashboarding capabilities.

APM: Is application performance becoming the new playing field were business and IT are meeting today?

It is certainly an area where there is a lot of intersection of concerns – for the obvious reason that applications are precisely the point at which IT intersects the business processes, and more and more business processes are grounding themselves in IT-based applications.

So there has been an increased interest in applications, on the business side, because the business has become aware of the role that IT plays in helping to generate revenues, and sees what IT is doing for the business, primarily in terms of applications. It has also helped that, on the consumer side, the entire world has become much more aware of the concept of the application, and that has given a vocabulary to the business executive to allow him or her to talk about application performance.

So there are a lot of different factors that are converging that make application performance management and monitoring the subject of interest to the business executive. And indeed an interesting point to make in general about the market is that one of the drivers for the interest in APM on the part of IT was the fact that the businesses began to demand it. Around the 2006-2007 time frame, it was the business side that pulled IT operations away from its historical focus on infrastructure and infrastructure events to a focus on applications as the organizing principle for enterprise management.

APM: The recent Gartner Magic Quadrant on APM states that 20% of the Global 2000 are reconstructing their IT on monitoring and management of applications rather than infrastructure. Why one rather than the other? Why not both?

Certainly, one needs to continue to monitor the infrastructure. But unless you are monitoring the application, and the application's behavior and performance, the data that you are getting from the infrastructure is going to be very difficult to make sense out of. It is going to be very difficult to effectively utilize. Once you are monitoring application performance, suddenly the infrastructure monitoring becomes a lot more valuable. Without APM as a structuring principle, there is an enormous complexity and a lack of clarity as to the meaning of the events that are taking place at the infrastructure level.

So, yes, in the ideal world you would do both application performance monitoring and infrastructure monitoring, but even if you could invest in full monitoring up and down the stack, it would still make sense to organize all of that around the monitoring of the application's performance.

APM: APM is growing in popularity right around the same time that cloud is taking hold. Are these two events connected? Do you see APM becoming more necessary because of cloud and virtualization?

I think they are related to one another. Whether you're using cloud-based infrastructure components, cloud-based platform components or cloud-based applications themselves, your ability to monitor the infrastructure becomes limited. So you are increasingly reliant upon what you can monitor from the application's perspective, to get information about what is going on in your system.

Then, within APM, end-user experience monitoring becomes essential, because it is a question of what you can see. Your ability to at least see the external, user-facing aspects of the application is significantly greater. So we are finding that as organizations are deploying cloud more aggressively, they rely more heavily upon APM, and within APM, end-user experience monitoring and all of the analytical capabilities that come with these systems.

Click here to read Part Two of the APMdigest interview with Will Cappelli, Gartner Research VP in Enterprise Management.

The Latest
The Latest 10

The Latest

IT organizations have historically measured success by how quickly they can respond when something goes wrong. The entire discipline of Incident Management has been optimized around mean time to resolution, first-response SLAs and ticket closure rates. But new research suggests that even though this is a well-executed playbook, it's no longer enough to retain customers ...

Production incidents rarely announce themselves as database problems. They appear as slow transactions, timeouts, rising response times, or an application struggling under a workload it previously handled. APM provides an essential starting point. It can identify a slow transaction path, highlight an affected service, and show that a database dependency is consuming more time than expected. But identifying the database as part of the problem is not the same as explaining what is happening inside it ...

Cloud teams are under constant pressure to reduce spend without slowing development or increasing operational risk. They are deploying autoscalers, rightsizing workloads, enforcing resource requests, reviewing utilization dashboards, and building FinOps processes around cloud-native environments. Yet the results often disappoint ...

Ask most IT leaders about their biggest concern with AI and you'll hear the same answer: hallucinations ... Today, however, the conversation has shifted ... As organizations move beyond chatbots and experiments, they are increasingly deploying AI agents that perform multi-step tasks. These systems retrieve documents, query databases, call APIs, generate reports, write code, and make recommendations. The issue is not whether the model can reason. The issue is whether the organization can see, verify, and govern the decisions being made along the way ...

While organizations want to take control of their telemetry, building telemetry pipelines from scratch can be a very daunting, complicated task, even when leveraging open-source standards like OpenTelemetry. It requires specialized knowledge across distributed systems, data engineering, and security. This fragmented approach across systems causes higher operational costs; it puts a strain on resources and reduces efficiency as teams have to work with different interfaces and processes ...

For decades, enterprise networks were designed around a simple assumption: work happened inside the office. Applications lived in centralized data centers, employees connected through internal infrastructure, and security focused on protecting the perimeter that surrounded everything ... But the way organizations operate today bears little resemblance to that environment. Cloud platforms host critical applications, employees connect from homes and airports as often as they do from offices, and partners collaborate through shared systems that exist far beyond corporate walls. In short, the corporate network no longer resembles the environment it was designed to protect ...

As an analyst who researches how IT organizations design, build, and operate their networks, I find that network data is a constant source of pain. Network teams struggle with data quality, fragmentation, authority, access, and trust. And these issues undermine everything they try to do. Here are the numbers: Only 45% of network teams are completely confident in the accuracy of their network source of truth, which documents the intent of their network ...

The 2026 Global Data Center Survey from Uptime Institute reveals an industry navigating workforce constraints, escalating outage expenses, even as rising costs remain the top concern for management teams ...

The next observability gap may not be in the code. It may be under the rack. That sounds strange until you think about how AI incidents actually feel in the middle of an investigation ... The application dashboard may be accurate. It may also be stopping at the wrong boundary. AI systems depend on software, but they also depend on a dense physical stack: racks, power paths, thermal margin, maintenance activity and, in many environments, liquid cooling. Those physical dependencies can change slowly before they look like a software incident ...

Certificate expiration is the rare outage you can see coming. Every TLS certificate carries the date it stops working, so the moment it will begin breaking connections is knowable in advance. That's what makes an expired certificate such a frustrating way to lose a service. What's changing now is how often that date comes around ...