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Q&A Part Three: Aberdeen Talks About APM

Pete Goldin
APMdigest

In Part Three of APMdigest's exclusive interview, Jim Rapoza, Aberdeen Senior Research Analyst on IT Infrastructure, talks about APM hot topics including Cloud, analytics and NPM.

Start with Part One of the interview with Aberdeen's Jim Rapoza

Start with Part Two of the interview with Aberdeen's Jim Rapoza

APM: In addition to the current challenges of Cloud and mobile - discussed in Part Two of the interview - do you foresee any more long-term challenges to APM?

One challenge I am keeping my eye on is SDN (Software Defined Networking) and OpenFlow. People tend to think of those as strictly network issues but the uptake is super fast. Last year we said SDN was really cutting edge, for universities and leading-edge companies, and we didn't expect it to be a major thing for a while. But by this year there were many companies announcing SDN capabilities, and that is interesting because it changes the nature of networks. It makes networks more like applications. I think APM vendors need to keep an eye on that. It changes the way you approach application performance.

APM: Speaking of networks, in the last few years the term APM has gained significant momentum, as totally separate from NPM. But your report seems to deal with network and application performance together. Do you see APM and NPM converging?

JR: Totally. If you go to the websites of the top 15 APM vendors and the top 15 NPM vendors, you would see a lot of the same terminology. It is all about the applications now.

Traditionally, just go back a couple years, and the NPM vendor would be talking a lot of network terminology. They would mention applications but only in a tangential way. Over the last several months there has been a real focus on applications.

No one really cares how the network is performing. Even when somebody calls IT and says "the network is slow" they really mean "the application is slow". So in the end every issue is just an application issue, and I think we are seeing this realization from NPM vendors. They realize that even though they have a network focus, it is really about application performance. They are just approaching it from the network side.

APM: In your reports you advise to “mind the gap” which I understood as integrating monitoring and management tools better. What is the best way to make sure the tools work together better? Is it about purchasing tools that are more open, or is it about internal integration skills?

JR: I think it is a little bit of both. Obviously you want to be wary of any tool that is completely proprietary and has limited ability to understand or share information. To me, that is a red flag. Tools don't have to be open source, they don't have to provide giant APIs, but you want to see that the product has the ability to work with other systems, and extend, and pull in data from other sources, and export data to other sources. That is getting close to a must-have. As you are building out or upgrading infrastructure, that is something you want to look for. You need to get away from the closed proprietary systems.

APM: In your research on APM in the Cloud, it sounds like fast alerting and response time is a top capability. Why would this be any different from APM in the traditional infrastructure? Why is quick response more important in the Cloud?

JR: You are absolutely right, it is a key factor in traditional infrastructure as well, but when something is completely 100% under your control, then you have a tiny bit more leeway to figure out the situation, to bring applications back up and to understand what happened. In a Cloud-based infrastructure, your margin of error is much lower. You need to be able to address the problem right away.

APM: Your research seems to say that analytics is a key differentiator for success in the Cloud. Is that for the same reason?

JR: Yes, and because in a Cloud-based system you are dealing with different sources of information. You are getting performance data from the Cloud provider, the virtualization management system, and some of your ITSM systems. You can be dealing with 5, 10, 15 different data sources. So having good analytics to be able to parse through all that data - taking that Big Data approach to your performance information - is extremely important.

APM: Plus analytics seems to deliver on several of the top requirements you talk about in the report, like setting baselines and identifying performance patterns.

JR: Yes. This is about visibility. If you don't know what your problems are then you can't fix them. The better analytics and the deeper visibility you have, the closer you are to end-to-end visibility, to find out where problems occur, and figure out a potential problem is going to happen before it actually hits end users. That is the differentiator between success and failure in the Cloud.

APM: Do you have any predictions about how APM is going to evolve in the next year or two?

I think the move from a network focus to an application and end-user focus is going to continue. I think you're going to see more movement toward, if not full on end-to-end, then systems having a lot more openness towards integrating with other systems, to enable end-to-end type capabilities. Obviously there's going to be a lot more built-in capabilities for virtualization, Cloud and mobile, so they can work with those systems seamlessly.

APM: Any upcoming reports that you can tell us about?

I'm going to be looking at the challenges of virtualization and how it is redefining APM. Especially when you start bringing in technologies like VDI. Those are huge impacts on networks and and we need to be aware of how to best optimize networks for delivering virtual desktops.

Another interesting report coming up is on managing performance in companies with wireless networks. That is the way that most companies are going now, and there are different issues when the entire network is entirely wireless.

Related Links:

Read Part One of the interview with Aberdeen's Jim Rapoza

Read Part Two of the interview with Aberdeen's Jim Rapoza

Aberdeen Conducts 2013 Performance Management Survey

Aberdeen Report: The Need for End-to-End Application Performance Management and Monitoring

Jim Rapoza's Blog

ABOUT Jim Rapoza

Jim Rapoza is a Senior Research Analyst focused on the increasing performance pressures that organizations are confronting within their network and application infrastructures. As emerging technologies such as Cloud and mobile change the way that applications are consumed and delivered, dealing with performance issues becomes more complex. Rapoza’s research has examined how organizations are facing these challenges and developing effective solutions to manage network and application performance in today’s complex environments.

For over seventeen years Rapoza has been using, testing, and writing about the newest technologies in software, enterprise hardware and the Internet. He served as the director eWEEK Labs, an award-winning technology testing lab based in Massachusetts and California. Rapoza is also the winner of five awards of excellence in technology journalism, and co-chaired a summit on technology industry security practices. He is a frequent speaker at technology conferences and expositions and has been regularly interviewed as a technology expert by national and local media outlets including CNN, ABC, NPR and the Associated Press.

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Q&A Part Three: Aberdeen Talks About APM

Pete Goldin
APMdigest

In Part Three of APMdigest's exclusive interview, Jim Rapoza, Aberdeen Senior Research Analyst on IT Infrastructure, talks about APM hot topics including Cloud, analytics and NPM.

Start with Part One of the interview with Aberdeen's Jim Rapoza

Start with Part Two of the interview with Aberdeen's Jim Rapoza

APM: In addition to the current challenges of Cloud and mobile - discussed in Part Two of the interview - do you foresee any more long-term challenges to APM?

One challenge I am keeping my eye on is SDN (Software Defined Networking) and OpenFlow. People tend to think of those as strictly network issues but the uptake is super fast. Last year we said SDN was really cutting edge, for universities and leading-edge companies, and we didn't expect it to be a major thing for a while. But by this year there were many companies announcing SDN capabilities, and that is interesting because it changes the nature of networks. It makes networks more like applications. I think APM vendors need to keep an eye on that. It changes the way you approach application performance.

APM: Speaking of networks, in the last few years the term APM has gained significant momentum, as totally separate from NPM. But your report seems to deal with network and application performance together. Do you see APM and NPM converging?

JR: Totally. If you go to the websites of the top 15 APM vendors and the top 15 NPM vendors, you would see a lot of the same terminology. It is all about the applications now.

Traditionally, just go back a couple years, and the NPM vendor would be talking a lot of network terminology. They would mention applications but only in a tangential way. Over the last several months there has been a real focus on applications.

No one really cares how the network is performing. Even when somebody calls IT and says "the network is slow" they really mean "the application is slow". So in the end every issue is just an application issue, and I think we are seeing this realization from NPM vendors. They realize that even though they have a network focus, it is really about application performance. They are just approaching it from the network side.

APM: In your reports you advise to “mind the gap” which I understood as integrating monitoring and management tools better. What is the best way to make sure the tools work together better? Is it about purchasing tools that are more open, or is it about internal integration skills?

JR: I think it is a little bit of both. Obviously you want to be wary of any tool that is completely proprietary and has limited ability to understand or share information. To me, that is a red flag. Tools don't have to be open source, they don't have to provide giant APIs, but you want to see that the product has the ability to work with other systems, and extend, and pull in data from other sources, and export data to other sources. That is getting close to a must-have. As you are building out or upgrading infrastructure, that is something you want to look for. You need to get away from the closed proprietary systems.

APM: In your research on APM in the Cloud, it sounds like fast alerting and response time is a top capability. Why would this be any different from APM in the traditional infrastructure? Why is quick response more important in the Cloud?

JR: You are absolutely right, it is a key factor in traditional infrastructure as well, but when something is completely 100% under your control, then you have a tiny bit more leeway to figure out the situation, to bring applications back up and to understand what happened. In a Cloud-based infrastructure, your margin of error is much lower. You need to be able to address the problem right away.

APM: Your research seems to say that analytics is a key differentiator for success in the Cloud. Is that for the same reason?

JR: Yes, and because in a Cloud-based system you are dealing with different sources of information. You are getting performance data from the Cloud provider, the virtualization management system, and some of your ITSM systems. You can be dealing with 5, 10, 15 different data sources. So having good analytics to be able to parse through all that data - taking that Big Data approach to your performance information - is extremely important.

APM: Plus analytics seems to deliver on several of the top requirements you talk about in the report, like setting baselines and identifying performance patterns.

JR: Yes. This is about visibility. If you don't know what your problems are then you can't fix them. The better analytics and the deeper visibility you have, the closer you are to end-to-end visibility, to find out where problems occur, and figure out a potential problem is going to happen before it actually hits end users. That is the differentiator between success and failure in the Cloud.

APM: Do you have any predictions about how APM is going to evolve in the next year or two?

I think the move from a network focus to an application and end-user focus is going to continue. I think you're going to see more movement toward, if not full on end-to-end, then systems having a lot more openness towards integrating with other systems, to enable end-to-end type capabilities. Obviously there's going to be a lot more built-in capabilities for virtualization, Cloud and mobile, so they can work with those systems seamlessly.

APM: Any upcoming reports that you can tell us about?

I'm going to be looking at the challenges of virtualization and how it is redefining APM. Especially when you start bringing in technologies like VDI. Those are huge impacts on networks and and we need to be aware of how to best optimize networks for delivering virtual desktops.

Another interesting report coming up is on managing performance in companies with wireless networks. That is the way that most companies are going now, and there are different issues when the entire network is entirely wireless.

Related Links:

Read Part One of the interview with Aberdeen's Jim Rapoza

Read Part Two of the interview with Aberdeen's Jim Rapoza

Aberdeen Conducts 2013 Performance Management Survey

Aberdeen Report: The Need for End-to-End Application Performance Management and Monitoring

Jim Rapoza's Blog

ABOUT Jim Rapoza

Jim Rapoza is a Senior Research Analyst focused on the increasing performance pressures that organizations are confronting within their network and application infrastructures. As emerging technologies such as Cloud and mobile change the way that applications are consumed and delivered, dealing with performance issues becomes more complex. Rapoza’s research has examined how organizations are facing these challenges and developing effective solutions to manage network and application performance in today’s complex environments.

For over seventeen years Rapoza has been using, testing, and writing about the newest technologies in software, enterprise hardware and the Internet. He served as the director eWEEK Labs, an award-winning technology testing lab based in Massachusetts and California. Rapoza is also the winner of five awards of excellence in technology journalism, and co-chaired a summit on technology industry security practices. He is a frequent speaker at technology conferences and expositions and has been regularly interviewed as a technology expert by national and local media outlets including CNN, ABC, NPR and the Associated Press.

The Latest
The Latest 10

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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 ...

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 ...

The gap is widening between what teams spend on observability tools and the value they receive amid surging data volumes and budget pressures, according to The Breaking Point for Observability Leaders, a report from Imply ...

Seamless shopping is a basic demand of today's boundaryless consumer — one with little patience for friction, limited tolerance for disconnected experiences and minimal hesitation in switching brands. Customers expect intuitive, highly personalized experiences and the ability to move effortlessly across physical and digital channels within the same journey. Failure to deliver can cost dearly ...

If your best engineers spend their days sorting tickets and resetting access, you are wasting talent. New global data shows that employees in the IT sector rank among the least motivated across industries. They're under a lot of pressure from many angles. Pressure to upskill and uncertainty around what agentic AI means for job security is creating anxiety. Meanwhile, these roles often function like an on-call job and require many repetitive tasks ...