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Gartner Q&A Part Three: Analytics vs. APM

Pete Goldin
APMdigest

In Part Three of APMdigest's exclusive interview, Will Cappelli, Gartner Research VP in Enterprise Management, talks about APM, analytics and mobile performance management.

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

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

APM: Your December report - Will IT Operations Analytics Platforms Replace APM Suites? - cites mobile performance as a blind spot. What is the problem?

WC: Great question. There are a couple of problems. One is the fact that at the end of the day, if you really want to see what is going on, you need to get something on that platform. The most obvious way of doing that is to instrument the platform directly. Unfortunately, from a social perspective that is almost unachievable. If employers were supplying us with our smartphones and tablets, and we were using them strictly for business purposes, there are technologies that could handle the problem.

But one of big issues is that a user is not going to be that crazy about putting an agent on their personal iPhone or tablet, nor will an IT operations team be that crazy about having to manage and administer that agentry. There are even places in the world where it is illegal to do that. You cannot do that in Germany, for example, without taking all sorts of precautions.

But there are other ways to get at mobile performance information. There is a lot of work being done now with JavaScript injection technologies, so once a webpage renders on a mobile device, the webpage itself start to act as an agent. But then the issue is: How do you interpret that data? How do you correlate that with other data you are gathering?

I don't think it is an insoluble problem. It is a difficult problem. Solutions are still in progress. A lot of money is being invested. It is a huge customer requirement. I believe that through some combination of endpoint instrumentation, made suitably lightweight and painless to manage, and JavaScript injection, we will see the emergence of some kind of economical solution. But we just don't have it yet. I think it is perfectly within the industry to reach there. But we're just not there yet.

APM: I am sure we are going to see many next generation mobile monitoring solutions in 2013. Do you think by this time next year the problem will be solved?

WC: I am purely speculating here, but I think we will see the outlines of the solution. You will see smaller vendors with very attractive solutions and you will see larger vendors putting similar solutions on their roadmaps. If we have this conversation next year, I think there will still be a lot to execute but the vision of what mobile application management is about will be largely settled and complete at that time.

APM: Your other December report – IT Operations Analytics Technology Requires Planning and Training – says that today's IT ops teams need more training to make analytics effective. Is this going to be a new breed of analytics administrator, or is it easy to train the current teams?

WC: I think you will have a new breed. With the Big Data issue there is a lot of talk about the emergence of a "Data Scientist" role. Whether or not that materializes on the business side, I do think you'll see the need for that kind of capability. You will see professionals answering to that role. I don't know what they will be called – they may be called IT Operations Data Scientists – but there will be a new role. I don't think you can take your average IT operations professional, even professionals involved in app development or application operations – their expertise, even if it is profoundly technical, is not technical in this direction.

There are two sources where you can find this expertise in current organizations. One is the capacity planning teams. In order to cope with managing virtual environments they brought in that level of expertise. Another area is the Six Sigma graduates floating around in Global 2000 enterprises, who are often very fluent in some core statistical concepts. I think if you can remove some of the macho martial arts rhetoric around Six Sigma, it can be transposed into a skill set that makes use of these tools.

APM: I would like to wrap up the interview by talking a little bit more about the stats in that first report. I think people could read that and make assumptions about the “death of APM”. I think you and I both agree that is not the case at all.

WC: It is always tough. On the one hand, if you speak vaguely it doesn't tell you anything. On the other hand, if you publish numbers, people will reason as they will.

I am definitely not saying APM is dead. In fact, I think it is going to grow at a healthy clip. Just not the growth we've seen before. There are many reasons for that, and some of it has to do with analytics, but another really big point is what we were just talking about. Part of it does have to do with the fact that one of the outstanding problems for enterprises is this mobile application problem. If the big vendors don't have a solution yet, the customers are not going to make the investment now. It is almost like a direct quote from a number of calls I have had: “We think the technology is great, but right now our problem is mobility, and the product doesn't address that.”

If you and I are both right, and by this time next year the mobile problem begins to be mitigated, in 2014 you could very well see some of the growth that APM lost this year kicking back in.

There will be a part of the APM market that will forever be lost to analytics – in the sense that there will be some problems that in the past may have been seen as being solvable by APM technology that is in fact being solved by analytics technology – but that is par for the course. That is not a negative judgment on APM. And people shouldn't take the report that way. It is just noticing a change, not proclaiming the apocalypse.

APM: I would add that even if certain vendors are not going to experience as high sales numbers because they focus on a particular technology, in general I think analytics just makes APM stronger. We are moving towards a more progressive level of APM.

WC: You could certainly make that case.

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

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

ABOUT Will Cappelli

Will Cappelli is a Gartner Research VP in the Enterprise Management area, focusing on automation, event correlation and fault analysis, management system architectures, and real-time infrastructure issues. Prior to Gartner, Cappelli served as director of Research for EMEA at Meta Group and held a variety of analyst and management positions at a number of major research firms, including Forrester/Giga Information Group, Ovum, New Science Associates and Real Decisons Corp.

Related Links:

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

Gartner Report: IT Operations Analytics Technology Requires Planning and Training

Gartner Analyst Profile: Will Cappelli

APMdigest's Interview with Will Cappelli in 2011

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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 Three: Analytics vs. APM

Pete Goldin
APMdigest

In Part Three of APMdigest's exclusive interview, Will Cappelli, Gartner Research VP in Enterprise Management, talks about APM, analytics and mobile performance management.

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

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

APM: Your December report - Will IT Operations Analytics Platforms Replace APM Suites? - cites mobile performance as a blind spot. What is the problem?

WC: Great question. There are a couple of problems. One is the fact that at the end of the day, if you really want to see what is going on, you need to get something on that platform. The most obvious way of doing that is to instrument the platform directly. Unfortunately, from a social perspective that is almost unachievable. If employers were supplying us with our smartphones and tablets, and we were using them strictly for business purposes, there are technologies that could handle the problem.

But one of big issues is that a user is not going to be that crazy about putting an agent on their personal iPhone or tablet, nor will an IT operations team be that crazy about having to manage and administer that agentry. There are even places in the world where it is illegal to do that. You cannot do that in Germany, for example, without taking all sorts of precautions.

But there are other ways to get at mobile performance information. There is a lot of work being done now with JavaScript injection technologies, so once a webpage renders on a mobile device, the webpage itself start to act as an agent. But then the issue is: How do you interpret that data? How do you correlate that with other data you are gathering?

I don't think it is an insoluble problem. It is a difficult problem. Solutions are still in progress. A lot of money is being invested. It is a huge customer requirement. I believe that through some combination of endpoint instrumentation, made suitably lightweight and painless to manage, and JavaScript injection, we will see the emergence of some kind of economical solution. But we just don't have it yet. I think it is perfectly within the industry to reach there. But we're just not there yet.

APM: I am sure we are going to see many next generation mobile monitoring solutions in 2013. Do you think by this time next year the problem will be solved?

WC: I am purely speculating here, but I think we will see the outlines of the solution. You will see smaller vendors with very attractive solutions and you will see larger vendors putting similar solutions on their roadmaps. If we have this conversation next year, I think there will still be a lot to execute but the vision of what mobile application management is about will be largely settled and complete at that time.

APM: Your other December report – IT Operations Analytics Technology Requires Planning and Training – says that today's IT ops teams need more training to make analytics effective. Is this going to be a new breed of analytics administrator, or is it easy to train the current teams?

WC: I think you will have a new breed. With the Big Data issue there is a lot of talk about the emergence of a "Data Scientist" role. Whether or not that materializes on the business side, I do think you'll see the need for that kind of capability. You will see professionals answering to that role. I don't know what they will be called – they may be called IT Operations Data Scientists – but there will be a new role. I don't think you can take your average IT operations professional, even professionals involved in app development or application operations – their expertise, even if it is profoundly technical, is not technical in this direction.

There are two sources where you can find this expertise in current organizations. One is the capacity planning teams. In order to cope with managing virtual environments they brought in that level of expertise. Another area is the Six Sigma graduates floating around in Global 2000 enterprises, who are often very fluent in some core statistical concepts. I think if you can remove some of the macho martial arts rhetoric around Six Sigma, it can be transposed into a skill set that makes use of these tools.

APM: I would like to wrap up the interview by talking a little bit more about the stats in that first report. I think people could read that and make assumptions about the “death of APM”. I think you and I both agree that is not the case at all.

WC: It is always tough. On the one hand, if you speak vaguely it doesn't tell you anything. On the other hand, if you publish numbers, people will reason as they will.

I am definitely not saying APM is dead. In fact, I think it is going to grow at a healthy clip. Just not the growth we've seen before. There are many reasons for that, and some of it has to do with analytics, but another really big point is what we were just talking about. Part of it does have to do with the fact that one of the outstanding problems for enterprises is this mobile application problem. If the big vendors don't have a solution yet, the customers are not going to make the investment now. It is almost like a direct quote from a number of calls I have had: “We think the technology is great, but right now our problem is mobility, and the product doesn't address that.”

If you and I are both right, and by this time next year the mobile problem begins to be mitigated, in 2014 you could very well see some of the growth that APM lost this year kicking back in.

There will be a part of the APM market that will forever be lost to analytics – in the sense that there will be some problems that in the past may have been seen as being solvable by APM technology that is in fact being solved by analytics technology – but that is par for the course. That is not a negative judgment on APM. And people shouldn't take the report that way. It is just noticing a change, not proclaiming the apocalypse.

APM: I would add that even if certain vendors are not going to experience as high sales numbers because they focus on a particular technology, in general I think analytics just makes APM stronger. We are moving towards a more progressive level of APM.

WC: You could certainly make that case.

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

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

ABOUT Will Cappelli

Will Cappelli is a Gartner Research VP in the Enterprise Management area, focusing on automation, event correlation and fault analysis, management system architectures, and real-time infrastructure issues. Prior to Gartner, Cappelli served as director of Research for EMEA at Meta Group and held a variety of analyst and management positions at a number of major research firms, including Forrester/Giga Information Group, Ovum, New Science Associates and Real Decisons Corp.

Related Links:

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

Gartner Report: IT Operations Analytics Technology Requires Planning and Training

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 ...