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Gartner Q&A Part Two: Analytics vs. APM

Pete Goldin
APMdigest

In Part Two of APMdigest's exclusive interview, Will Cappelli, Gartner Research VP in Enterprise Management, talks about his latest report - Will IT Operations Analytics Platforms Replace APM Suites? - and the future of Application Performance Management.

Start with Part One of APMdigest's Q&A with Gartner's Will Cappelli: Analytics vs. APM

APM: It seems like there is a positive and negative to the move towards analytics. Obviously, it's a good idea to invest in analytics, but you still recommend that organizations do need to invest in the other dimensions of APM as well?

WC: Absolutely. That's a very good point. I think, because of the enthusiasm for analytics, we are in a kind of danger point right now where organizations say: at last we have the silver bullet, at last we have the one single technology that will allow us to dismiss all other technologies. There are some people saying they can get by just with analytics. That is a big mistake, because analytics technology will end up having to replicate a lot of the core data collection and filtering that is done by more traditional APM tools. Rather than focusing on analysis, they will be focusing on performance and availability monitoring, which is not what they are designed to do.

APM: I agree with you on that point as well, but on the other hand, stats from the report, saying 60% of the enterprises will consider analytics a higher priority than APM by 2016, that makes sense to me.

WC: Priority is a different issue. First of all, analytics is not just confined to applications performance but also virtual environment management, network performance, storage management, and change and configuration management. So in that sense the analytics technology will become a higher priority than APM.

There is an argument one can make that one of the main projects in the last three years has been changing IT operations from infrastructure-centric activity to application-centric activity, and APM tools have been a big catalyst for that transformation. And you could say that the next three years or so, organizations will still be hammering out the implications of application centricity, but now the problem is shifting to a different one: how do we deal with the explosion of data and the complexity of the data sets that are required in order to manage the modern IT stack?

So there is a reason for the shift in prioritization. It is a question of maturity. Many enterprises have achieved a certain level of application centricity, so now they are beginning to look to the next problem on the horizon, which is how to deal with the Big Data issue.

APM: A couple years ago it seemed that application-centric rather than infrastructure-centric monitoring was a progressive concept. Would you say that it is now the mainstream view in ITSM?

WC: I would say it is the mainstream view. It is aspirational for many organizations, of course, but I think the argument has largely been won by the proponents of application centricity. So even organizations that are not on the leading edge of technology deployment nonetheless accept that what they're striving towards his application centricity.

I wouldn't say it is becoming in any way old-fashioned or dated. But it is accepted that this is the way you do IT operations. It is an idea that everyone thinks is obvious now. They've forgotten that this was actually a subject of deep argument for a couple of years.

So when I say things are moving on to some of these issues around data explosion, Big Data and complexity of data sets, this is not a negation of application centricity.

APM: Would you say this makes APM the key to ITSM today, where maybe it wasn't thought of that way a couple of years ago?

WC: Yes, I think very much so. When I look at most organizations now, at least when I look at the disciplines around performance and availability, there is no question that application centricity is the mainstream way of looking at it now. And it is the center of that aspect of ITSM.

APM: Your report mentions that “most of the five dimensional suites on offer to the Global 2000 ... are poorly integrated, difficult to implement and costly to administer.” So we're still a long way from having that vision become a workable reality?

WC: Yes. But I don't know if we ever will achieve a seamless platform that is able to deliver the five dimensions. I think the seams will always show. But that is always the case with enterprise management. The critical thing is recognizing that the problem space requires multiple perspectives, multiple dimensions, and then trying to coordinate the deployment of those different dimensions.

Getting them to work completely smoothly together is a moot point because the underlying items to be monitored evolve. You can look at the integration of these five dimensions as always merging like a tangent off of the curve.

APM: Is there more hope for anyone putting together their own five dimensions from five, or least multiple, vendors?

WC: That is a very interesting point. I think that is very hard to do. It just requires a lot of development. Gartner has clients in the high-end financial services, telecommunications and IT service organizations that do that all themselves. They even build the basic components themselves and weave it together. But for the vast majority of enterprises it is more cost-effective for them to buy an imperfectly integrated suite than to go out and buy best-of-breed products in all five areas and try to weave them together themselves.

This has been a debate that has plagued enterprise management for decades, and it plagues APM as well. I think at this stage in the history of the APM market, the partial integration achieved by a vendor is better than trying to do it yourself, from a cost point of view.

APM: From that viewpoint, would you say that someone who is buying stand-alone analytics would not be purchasing that as one piece out of five but rather as an overlay on top of the APM suite?

WC: That is right. These analytics technologies are actually overarching, synthesizing tools rather than components within APM. In fact, one can go a step further and say that you're actually beginning to see two layers of analytics, although that is very embryonic.

First is local domain analytics, that might be associated with application performance, network performance, CMDB. Then these domain analytics feed into an overarching analytics platform that is an integration point for different aspects of ITSM.

We have been here before too. ITSM as a whole, just like APM, has been a loosely, imperfectly integrated set of functions, and in the market we have pushed a succession of technologies as critical points to tie them together. First we moved to the configuration management database, and then the service catalog, and you could argue that the analytics platform is this continued attempt to provide some kind of integration point around which a variety of different enterprise management disciplines can gather.

Will these analytics platforms be successful in this role, where previous technologies have not been? Right now there is a lot of expectation that analytics platforms can become the new CMDB or service catalog, insofar as they play a central integrating function across the different domains of enterprise management.

APM: With greater focus on analytics in the last year or so it seems like the vendors of traditional APM should be welcoming analytics and working with those standalone solutions, trying to integrate with them better. Is that what you are seeing on the vendor side?

WC: I see two things. Yes they are, and they are also trying to do it themselves. Most are taking a two-pronged attack. Certainly, you can see the ecosystems and partnerships being built up, but there is also a lot of internal investment going on too.

I am not sure I made this call in any of the notes I've written around this area, but Gartner believes that in 2013 you will see many of the incumbent players in APM, and in enterprise management in general, roll out their own analytics platform. They may buy some of the smaller players to give some heft to these platforms, but I think you'll see IBM, HP, BMC, CA, Compuware rolling out generic IT operations analytics platforms, if they are in multiple enterprise management areas. If they are an APM specialist, like a Compuware, their analytic platforms will tend to be more specific to APM.

So I think you will see most of the main characters in the market both trying to partner aggressively with some of the main hot players in the analytics space, while also coming up with their own technology platforms as well.

Click here to read Part Three of APMdigest's Q&A with Gartner's Will Cappelli: Analytics vs. APM

Click here to read Part One of APMdigest's Q&A with Gartner's Will Cappelli: Analytics vs. APM

Related Links:

Gartner Report: Will IT Operations Analytics Platforms Replace APM Suites?

Gartner Analyst Profile: Will Cappelli

APMdigest's Interview with Will Cappelli in 2011

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Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

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Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

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AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...

Gartner Q&A Part Two: Analytics vs. APM

Pete Goldin
APMdigest

In Part Two of APMdigest's exclusive interview, Will Cappelli, Gartner Research VP in Enterprise Management, talks about his latest report - Will IT Operations Analytics Platforms Replace APM Suites? - and the future of Application Performance Management.

Start with Part One of APMdigest's Q&A with Gartner's Will Cappelli: Analytics vs. APM

APM: It seems like there is a positive and negative to the move towards analytics. Obviously, it's a good idea to invest in analytics, but you still recommend that organizations do need to invest in the other dimensions of APM as well?

WC: Absolutely. That's a very good point. I think, because of the enthusiasm for analytics, we are in a kind of danger point right now where organizations say: at last we have the silver bullet, at last we have the one single technology that will allow us to dismiss all other technologies. There are some people saying they can get by just with analytics. That is a big mistake, because analytics technology will end up having to replicate a lot of the core data collection and filtering that is done by more traditional APM tools. Rather than focusing on analysis, they will be focusing on performance and availability monitoring, which is not what they are designed to do.

APM: I agree with you on that point as well, but on the other hand, stats from the report, saying 60% of the enterprises will consider analytics a higher priority than APM by 2016, that makes sense to me.

WC: Priority is a different issue. First of all, analytics is not just confined to applications performance but also virtual environment management, network performance, storage management, and change and configuration management. So in that sense the analytics technology will become a higher priority than APM.

There is an argument one can make that one of the main projects in the last three years has been changing IT operations from infrastructure-centric activity to application-centric activity, and APM tools have been a big catalyst for that transformation. And you could say that the next three years or so, organizations will still be hammering out the implications of application centricity, but now the problem is shifting to a different one: how do we deal with the explosion of data and the complexity of the data sets that are required in order to manage the modern IT stack?

So there is a reason for the shift in prioritization. It is a question of maturity. Many enterprises have achieved a certain level of application centricity, so now they are beginning to look to the next problem on the horizon, which is how to deal with the Big Data issue.

APM: A couple years ago it seemed that application-centric rather than infrastructure-centric monitoring was a progressive concept. Would you say that it is now the mainstream view in ITSM?

WC: I would say it is the mainstream view. It is aspirational for many organizations, of course, but I think the argument has largely been won by the proponents of application centricity. So even organizations that are not on the leading edge of technology deployment nonetheless accept that what they're striving towards his application centricity.

I wouldn't say it is becoming in any way old-fashioned or dated. But it is accepted that this is the way you do IT operations. It is an idea that everyone thinks is obvious now. They've forgotten that this was actually a subject of deep argument for a couple of years.

So when I say things are moving on to some of these issues around data explosion, Big Data and complexity of data sets, this is not a negation of application centricity.

APM: Would you say this makes APM the key to ITSM today, where maybe it wasn't thought of that way a couple of years ago?

WC: Yes, I think very much so. When I look at most organizations now, at least when I look at the disciplines around performance and availability, there is no question that application centricity is the mainstream way of looking at it now. And it is the center of that aspect of ITSM.

APM: Your report mentions that “most of the five dimensional suites on offer to the Global 2000 ... are poorly integrated, difficult to implement and costly to administer.” So we're still a long way from having that vision become a workable reality?

WC: Yes. But I don't know if we ever will achieve a seamless platform that is able to deliver the five dimensions. I think the seams will always show. But that is always the case with enterprise management. The critical thing is recognizing that the problem space requires multiple perspectives, multiple dimensions, and then trying to coordinate the deployment of those different dimensions.

Getting them to work completely smoothly together is a moot point because the underlying items to be monitored evolve. You can look at the integration of these five dimensions as always merging like a tangent off of the curve.

APM: Is there more hope for anyone putting together their own five dimensions from five, or least multiple, vendors?

WC: That is a very interesting point. I think that is very hard to do. It just requires a lot of development. Gartner has clients in the high-end financial services, telecommunications and IT service organizations that do that all themselves. They even build the basic components themselves and weave it together. But for the vast majority of enterprises it is more cost-effective for them to buy an imperfectly integrated suite than to go out and buy best-of-breed products in all five areas and try to weave them together themselves.

This has been a debate that has plagued enterprise management for decades, and it plagues APM as well. I think at this stage in the history of the APM market, the partial integration achieved by a vendor is better than trying to do it yourself, from a cost point of view.

APM: From that viewpoint, would you say that someone who is buying stand-alone analytics would not be purchasing that as one piece out of five but rather as an overlay on top of the APM suite?

WC: That is right. These analytics technologies are actually overarching, synthesizing tools rather than components within APM. In fact, one can go a step further and say that you're actually beginning to see two layers of analytics, although that is very embryonic.

First is local domain analytics, that might be associated with application performance, network performance, CMDB. Then these domain analytics feed into an overarching analytics platform that is an integration point for different aspects of ITSM.

We have been here before too. ITSM as a whole, just like APM, has been a loosely, imperfectly integrated set of functions, and in the market we have pushed a succession of technologies as critical points to tie them together. First we moved to the configuration management database, and then the service catalog, and you could argue that the analytics platform is this continued attempt to provide some kind of integration point around which a variety of different enterprise management disciplines can gather.

Will these analytics platforms be successful in this role, where previous technologies have not been? Right now there is a lot of expectation that analytics platforms can become the new CMDB or service catalog, insofar as they play a central integrating function across the different domains of enterprise management.

APM: With greater focus on analytics in the last year or so it seems like the vendors of traditional APM should be welcoming analytics and working with those standalone solutions, trying to integrate with them better. Is that what you are seeing on the vendor side?

WC: I see two things. Yes they are, and they are also trying to do it themselves. Most are taking a two-pronged attack. Certainly, you can see the ecosystems and partnerships being built up, but there is also a lot of internal investment going on too.

I am not sure I made this call in any of the notes I've written around this area, but Gartner believes that in 2013 you will see many of the incumbent players in APM, and in enterprise management in general, roll out their own analytics platform. They may buy some of the smaller players to give some heft to these platforms, but I think you'll see IBM, HP, BMC, CA, Compuware rolling out generic IT operations analytics platforms, if they are in multiple enterprise management areas. If they are an APM specialist, like a Compuware, their analytic platforms will tend to be more specific to APM.

So I think you will see most of the main characters in the market both trying to partner aggressively with some of the main hot players in the analytics space, while also coming up with their own technology platforms as well.

Click here to read Part Three of APMdigest's Q&A with Gartner's Will Cappelli: Analytics vs. APM

Click here to read Part One of APMdigest's Q&A with Gartner's Will Cappelli: Analytics vs. APM

Related Links:

Gartner Report: Will IT Operations Analytics Platforms Replace APM Suites?

Gartner Analyst Profile: Will Cappelli

APMdigest's Interview with Will Cappelli in 2011

Hot Topic
The Latest
The Latest 10

The Latest

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...