Skip to main content

Q&A Part Two: TRAC Research Talks About the APM Spectrum

Pete Goldin
APMdigest

In Part Two of APMdigest's exclusive interview, Bojan Simic, President and Principal Analyst at TRAC Research, talks about the firm's new APM Spectrum report, APM analytics, virtualization, and different types of APM for different job roles.

Start with Q&A Part One: TRAC Research Talks About the APM Spectrum

APM: Your report deals a lot with job roles. Did you see differences in expectations for APM solutions between IT operations and developers?

TRAC: We saw a major difference between IT operations versus developers, in terms of what they are looking to purchase. You can talk to developers and IT operations about the same exact tool and developers might say it is very effective, while IT operations will say it is too difficult for them to deploy in the workflow, and just not designed for what they are trying to do.

We asked developers and IT operations about their levels of satisfaction with the solutions that are currently being deployed. The data shows that developers are more likely to say that usability of data is pretty good. 59% of developers said they are satisfied, versus 40% of IT operations.

We also asked a question about the quality of user experience, and the numbers flip-flopped. 56% of IT operations said they were satisfied compared to only 39% of developers. Part of the reason is that some of the solutions being purchased by developers work really well in pre-production, but they are not as effective in production.

APM: So what is the solution? Do developers and IT operations always require separate tools?

TRAC: In some cases they could benefit from using two separate solutions. It really depends on the use case. A lot of it has to do with how they want to use the data they are collecting, whether it is one tool or multiple tools, and how the tool actually maps to what they're trying to do in production versus pre-production.

It goes back to what I mentioned before, it is not about selecting one solution that is going to take care of all your needs, user experience monitoring, transaction monitoring, infrastructure view — in many cases you need multiple products. What is important to know is: can these products work together?

One point that is important to mention, we asked the question in the survey about tools being used in pre-production only, production only, or both pre-production and production. 52% said APM tools are being used in production only. 10% are being used in pre-production only. 38% are being used in both. So on the developer side, you need to make sure the tool can also be effective in production. That is one of the recommendations that we have for developers in the study.

APM: Developer vs. IT ops is a fairly high profile example. Can you give some other examples of APM for specific job roles?

TRAC: We have seen quite a few people who purchase APM solutions, but they come from the business side, which IT is not even aware of. We are seeing almost a new class of APM deployments where IT is not even involved in the buying cycle. They might not even be aware it exists because the business side is buying APM for their purposes. Business users are becoming almost a separate submarket.

We are seeing more marketing folks being able to benefit from APM data if it is presented in the right way. They don't necessarily care about all the nuts and bolts of the technology, looking at packets and code, but they do care about the user experience. They care about how performance impacts application usage and business metrics.

We talked to people in charge of application training, and they want to use APM tools to understand why a number of licenses are unused. Is it because the application is slow, or because people are not trained properly, or because the workflow is difficult to use?

In our survey, CIOs identified that their number one goal was to be able to invest more resources in innovation. Where APM fits into the CIO's agenda is to reduce the time and resources spent on maintaining IT services. Once you do that, you can allocate more resources in developing innovative services and create a competitive advantage.

APM: Do these multiple roles with different needs cause a challenge when purchasing an APM solution?

TRAC: Very often multiple job roles will be involved in the buying cycle. Capacity planning managers, developers, application support — and the companies are trying to get an APM solution that can support all of them, providing a value proposition across all the different job roles. But very often, what they end up buying is a solution that addresses only limited use cases.

APM: How do you view the increased importance of APM analytics?

TRAC: This is one of the key stories in the report. Analytics comes across most, if not all, sections of the report — anywhere from the APM overview to key challenges to best practices to recommendations.

One point is that 81% of organizations in the survey reported that the amount of APM data they collect increased over the last 12 months. That, by itself, shows that there is more data to be processed, the complexity is growing, and if you try to make sense out of the data manually you are setting yourself up for a task that is not humanly possible.

The survey also shows that only 16% of these organizations are able to proactively prevent issues in 80% of incidents or more. Many of them are using a number of different solutions that were never designed to work together, while trying to bring them all together and make sense out of this information. They need some technology in place to be able to analyze the data and bring it back to a single view.

In terms of usability, two key challenges were shown. One is the challenge of correlating and normalizing data collected from different sources. Second, is the amount of information that is not relevant to the problem you're trying to solve. I think the bottom line is that there is no correlation between the amount of information people have in the end, and their effectiveness in addressing key challenges. The fact that you can collect more information does not mean a whole lot unless you can process it, and present it back to people who are making decisions to prevent and resolve these issues.

APM: Your report says that virtualization is becoming another management silo. Why is that happening?

TRAC: Traditionally, we have two different types of solutions that are dealing with virtualization. You have virtualization management solutions that do a really good job talking about CPU utilization, availability and capacity. Most of these tools do not have any visibility into how actions on the virtualization management side impact the quality of the user experience for applications that are being virtualized.

Then you have user experience monitoring solutions that can do a good job telling you when you have a problem, but they don't have a lot of visibility into the actual infrastructure.

In the virtualization section of the study, we asked: what are the key challenges for managing application performance in virtualized environments? Number one was the inability to find the optimal balance between utilization and performance. If you are looking to manage a virtualization project with one goal in mind, to improve utilization, you need to know how it impacts the user experience. That is why virtualization is becoming a silo, because a lot of people don't have visibility into how their actions are impacting the end-user.

The number two challenge of virtualization management was lack of visibility into transaction flow, anywhere from the point where end-users interact with the application into the virtualized server. Having that kind of end-to-end visibility is critical, and not a lot of people have that.

Read Q&A Part Three: TRAC Research Talks About the APM Spectrum

Related Links:

Read Q&A Part One: TRAC Research Talks About the APM Spectrum

Hot Topic
The Latest
The Latest 10

The Latest

UK IT leaders are reaching a critical inflection point in how they manage observability, according to research from LogicMonitor. As infrastructure complexity grows and AI adoption accelerates, fragmented monitoring environments are driving organizations to rethink their operational strategies and consolidate tools ...

For years, many infrastructure teams treated the edge as a deployment variation. It was seen as the same cloud model, only stretched outward: more devices, more gateways, more locations and a little more latency. That assumption is proving costly. The edge is not just another place to run workloads. It is a fundamentally different operating condition ...

AI can't fix broken data. CIOs who modernize revenue data governance unlock predictable growth-those who don't risk millions in failed AI investments. For decades, CIOs kept the lights on. Revenue was someone else's problem, owned by sales, led by the CRO, measured by finance. Those days are behind us ...

Over the past few years, organizations have made enormous strides in enabling remote and hybrid work. But the foundational technologies powering today's digital workplace were never designed for the volume, velocity, and complexity that is coming next. By 2026 and beyond, three forces — 5G, the metaverse, and edge AI — will fundamentally reshape how people connect, collaborate, and access enterprise resources ... The businesses that begin preparing now will gain a competitive head start. Those that wait will find themselves trying to secure environments that have already outgrown their architecture ...

Ask where enterprise AI is making its most decisive impact, and the answer might surprise you: not marketing, not finance, not customer experience. It's IT. Across three years of industry research conducted by Digitate, one constant holds true is that IT is both the testing ground and the proving ground for enterprise AI. Last year, that position only strengthened ...

A payment gateway fails at 2 AM. Thousands of transactions hang in limbo. Post-mortems reveal failures cascading across dozens of services, each technically sound in isolation. The diagnosis takes hours. The fix requires coordinated deployments across teams ...

Every enterprise technology conversation right now circles back to AI agents. And for once, the excitement isn't running too far ahead of reality. According to a Zapier survey of over 500 enterprise leaders, 72% of enterprises are already using or testing AI agents, and 84% plan to increase their investment over the next 12 months. Those numbers are big. But they also raise a question that doesn't get asked enough: what exactly are companies doing with these agents, and are they actually getting value from them? ...

Many organizations still rely on reactive availability models, taking action only after an outage occurs. However, as applications become more complex, this approach often leads to delayed detection, prolonged disruption, and incomplete recovery. Monitoring is evolving from a basic operational function into a foundational capability for sustaining availability in modern environments ...

In MEAN TIME TO INSIGHT Episode 22, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses DNS Security ... 

The financial stakes of extended service disruption has made operational resilience a top priority, according to 2026 State of AI-First Operations Report, a report from PagerDuty. According to survey findings, 95% of respondents believe their leadership understands the competitive advantage that can be gained from reducing incidents and speeding recovery ...

Q&A Part Two: TRAC Research Talks About the APM Spectrum

Pete Goldin
APMdigest

In Part Two of APMdigest's exclusive interview, Bojan Simic, President and Principal Analyst at TRAC Research, talks about the firm's new APM Spectrum report, APM analytics, virtualization, and different types of APM for different job roles.

Start with Q&A Part One: TRAC Research Talks About the APM Spectrum

APM: Your report deals a lot with job roles. Did you see differences in expectations for APM solutions between IT operations and developers?

TRAC: We saw a major difference between IT operations versus developers, in terms of what they are looking to purchase. You can talk to developers and IT operations about the same exact tool and developers might say it is very effective, while IT operations will say it is too difficult for them to deploy in the workflow, and just not designed for what they are trying to do.

We asked developers and IT operations about their levels of satisfaction with the solutions that are currently being deployed. The data shows that developers are more likely to say that usability of data is pretty good. 59% of developers said they are satisfied, versus 40% of IT operations.

We also asked a question about the quality of user experience, and the numbers flip-flopped. 56% of IT operations said they were satisfied compared to only 39% of developers. Part of the reason is that some of the solutions being purchased by developers work really well in pre-production, but they are not as effective in production.

APM: So what is the solution? Do developers and IT operations always require separate tools?

TRAC: In some cases they could benefit from using two separate solutions. It really depends on the use case. A lot of it has to do with how they want to use the data they are collecting, whether it is one tool or multiple tools, and how the tool actually maps to what they're trying to do in production versus pre-production.

It goes back to what I mentioned before, it is not about selecting one solution that is going to take care of all your needs, user experience monitoring, transaction monitoring, infrastructure view — in many cases you need multiple products. What is important to know is: can these products work together?

One point that is important to mention, we asked the question in the survey about tools being used in pre-production only, production only, or both pre-production and production. 52% said APM tools are being used in production only. 10% are being used in pre-production only. 38% are being used in both. So on the developer side, you need to make sure the tool can also be effective in production. That is one of the recommendations that we have for developers in the study.

APM: Developer vs. IT ops is a fairly high profile example. Can you give some other examples of APM for specific job roles?

TRAC: We have seen quite a few people who purchase APM solutions, but they come from the business side, which IT is not even aware of. We are seeing almost a new class of APM deployments where IT is not even involved in the buying cycle. They might not even be aware it exists because the business side is buying APM for their purposes. Business users are becoming almost a separate submarket.

We are seeing more marketing folks being able to benefit from APM data if it is presented in the right way. They don't necessarily care about all the nuts and bolts of the technology, looking at packets and code, but they do care about the user experience. They care about how performance impacts application usage and business metrics.

We talked to people in charge of application training, and they want to use APM tools to understand why a number of licenses are unused. Is it because the application is slow, or because people are not trained properly, or because the workflow is difficult to use?

In our survey, CIOs identified that their number one goal was to be able to invest more resources in innovation. Where APM fits into the CIO's agenda is to reduce the time and resources spent on maintaining IT services. Once you do that, you can allocate more resources in developing innovative services and create a competitive advantage.

APM: Do these multiple roles with different needs cause a challenge when purchasing an APM solution?

TRAC: Very often multiple job roles will be involved in the buying cycle. Capacity planning managers, developers, application support — and the companies are trying to get an APM solution that can support all of them, providing a value proposition across all the different job roles. But very often, what they end up buying is a solution that addresses only limited use cases.

APM: How do you view the increased importance of APM analytics?

TRAC: This is one of the key stories in the report. Analytics comes across most, if not all, sections of the report — anywhere from the APM overview to key challenges to best practices to recommendations.

One point is that 81% of organizations in the survey reported that the amount of APM data they collect increased over the last 12 months. That, by itself, shows that there is more data to be processed, the complexity is growing, and if you try to make sense out of the data manually you are setting yourself up for a task that is not humanly possible.

The survey also shows that only 16% of these organizations are able to proactively prevent issues in 80% of incidents or more. Many of them are using a number of different solutions that were never designed to work together, while trying to bring them all together and make sense out of this information. They need some technology in place to be able to analyze the data and bring it back to a single view.

In terms of usability, two key challenges were shown. One is the challenge of correlating and normalizing data collected from different sources. Second, is the amount of information that is not relevant to the problem you're trying to solve. I think the bottom line is that there is no correlation between the amount of information people have in the end, and their effectiveness in addressing key challenges. The fact that you can collect more information does not mean a whole lot unless you can process it, and present it back to people who are making decisions to prevent and resolve these issues.

APM: Your report says that virtualization is becoming another management silo. Why is that happening?

TRAC: Traditionally, we have two different types of solutions that are dealing with virtualization. You have virtualization management solutions that do a really good job talking about CPU utilization, availability and capacity. Most of these tools do not have any visibility into how actions on the virtualization management side impact the quality of the user experience for applications that are being virtualized.

Then you have user experience monitoring solutions that can do a good job telling you when you have a problem, but they don't have a lot of visibility into the actual infrastructure.

In the virtualization section of the study, we asked: what are the key challenges for managing application performance in virtualized environments? Number one was the inability to find the optimal balance between utilization and performance. If you are looking to manage a virtualization project with one goal in mind, to improve utilization, you need to know how it impacts the user experience. That is why virtualization is becoming a silo, because a lot of people don't have visibility into how their actions are impacting the end-user.

The number two challenge of virtualization management was lack of visibility into transaction flow, anywhere from the point where end-users interact with the application into the virtualized server. Having that kind of end-to-end visibility is critical, and not a lot of people have that.

Read Q&A Part Three: TRAC Research Talks About the APM Spectrum

Related Links:

Read Q&A Part One: TRAC Research Talks About the APM Spectrum

Hot Topic
The Latest
The Latest 10

The Latest

UK IT leaders are reaching a critical inflection point in how they manage observability, according to research from LogicMonitor. As infrastructure complexity grows and AI adoption accelerates, fragmented monitoring environments are driving organizations to rethink their operational strategies and consolidate tools ...

For years, many infrastructure teams treated the edge as a deployment variation. It was seen as the same cloud model, only stretched outward: more devices, more gateways, more locations and a little more latency. That assumption is proving costly. The edge is not just another place to run workloads. It is a fundamentally different operating condition ...

AI can't fix broken data. CIOs who modernize revenue data governance unlock predictable growth-those who don't risk millions in failed AI investments. For decades, CIOs kept the lights on. Revenue was someone else's problem, owned by sales, led by the CRO, measured by finance. Those days are behind us ...

Over the past few years, organizations have made enormous strides in enabling remote and hybrid work. But the foundational technologies powering today's digital workplace were never designed for the volume, velocity, and complexity that is coming next. By 2026 and beyond, three forces — 5G, the metaverse, and edge AI — will fundamentally reshape how people connect, collaborate, and access enterprise resources ... The businesses that begin preparing now will gain a competitive head start. Those that wait will find themselves trying to secure environments that have already outgrown their architecture ...

Ask where enterprise AI is making its most decisive impact, and the answer might surprise you: not marketing, not finance, not customer experience. It's IT. Across three years of industry research conducted by Digitate, one constant holds true is that IT is both the testing ground and the proving ground for enterprise AI. Last year, that position only strengthened ...

A payment gateway fails at 2 AM. Thousands of transactions hang in limbo. Post-mortems reveal failures cascading across dozens of services, each technically sound in isolation. The diagnosis takes hours. The fix requires coordinated deployments across teams ...

Every enterprise technology conversation right now circles back to AI agents. And for once, the excitement isn't running too far ahead of reality. According to a Zapier survey of over 500 enterprise leaders, 72% of enterprises are already using or testing AI agents, and 84% plan to increase their investment over the next 12 months. Those numbers are big. But they also raise a question that doesn't get asked enough: what exactly are companies doing with these agents, and are they actually getting value from them? ...

Many organizations still rely on reactive availability models, taking action only after an outage occurs. However, as applications become more complex, this approach often leads to delayed detection, prolonged disruption, and incomplete recovery. Monitoring is evolving from a basic operational function into a foundational capability for sustaining availability in modern environments ...

In MEAN TIME TO INSIGHT Episode 22, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses DNS Security ... 

The financial stakes of extended service disruption has made operational resilience a top priority, according to 2026 State of AI-First Operations Report, a report from PagerDuty. According to survey findings, 95% of respondents believe their leadership understands the competitive advantage that can be gained from reducing incidents and speeding recovery ...