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Q&A Part Two: EMA Talks About Advanced Performance Analytics

Pete Goldin
APMdigest

In APMdigest's exclusive interview, Dennis Drogseth, VP of Research at Enterprise Management Associates (EMA), talks about the recently released EMA Radar for Advanced Performance Analytics (APA) Use Cases: Q4 2012, the benefits of APA, and the future of the technology.

Start with Part One: EMA Talks About Advanced Performance Analytics

APM: What benefits can be gained from an APA solution?

DD: The main benefits are faster deployments; vastly accelerated problem solving; reduced mean time to repair; much expanded mean time between failure, so you can anticipate problems; and ultimately also a much more powerful way of linking what IT does to business value.

APM: One of the advantages is that APA runs itself, correct? It is self-learning and does not require a lot of administration.

DD: By and large the answer is yes, self-learning APA does not require much administration. The data we looked at showed the average was a half-employee or less needed for administration.

One of the points that I heard consistently across all the deployments is that they looked at a lot of other solutions but “this one” really worked much faster, and did not require much overhead.

APM: Is this why APA delivers fast ROI, as you mention in the report?

DD: APA is faster to deploy typically too. Especially when the integrations are fully supported out of the box. For instance, you are not focused on instrumentation for phase-one data collection.

You could say that is a bit of fiction because in many cases APA and monitoring are bundled together, but in a growing number of cases they are not. And so the analytic capability, to harness that information, learn from it and produce valuable results, delivers much faster value than traditional monitoring tools. And over a broader area.

I believe that we are going to see – in five years or less – a real separation of business models where you have innovators going for more APA as overlays, and also innovators going for data collection to support the growth of APA, to try to provide the ultimate agent, for instance, to support APA solutions. I think you're going to see entire business models arise to do that.

Data collection and basic instrumentation, basic monitoring, will become separated from advanced analytics and I think that will be really good for the industry, versus stovepipe tools that do it all themselves.

That is of course a long-term evolution. And we are looking at a jungle of wild animals in different shapes, not a linear logical progression. But I am projecting that, five years out, we will begin to see that kind of differentiation take hold.

APM: In the Radar Report you say APA can help bridge the gap between IT and Business. How?

DD: A growing number of business outcomes in whatever vertical – financial, healthcare, e-business, retail, manufacturing – are directly supported through IT services. They require either interactions with an application or application-to-application interactions. The business impact analytics that we are looking at in this Radar involve tuning business outcomes based on application services and other business services. By doing that you can see who is interacting with what transactions and services, what they are doing, how the business is impacted, how revenue is being generated, what geographies are most efficient, etc. And in a growing number of cases you are actually looking at business process issues. You are looking at business outcomes very specifically.

One person I talked to put it beautifully: “I have to tune my business – not my IT or my apps – I have to tune my business every hour. How are you going to do that with traditional warehousing tools?”

APM: In the Radar Report you mention DevOps as a value add for APA. How does APA relate to DevOps?

DD: Most of the APA solutions today support a smoother transition into production. In some cases development is directly accessing the APA tools. In others it is providing a fast feedback system to see if something is not going to work. DevOps is clearly another growth area for APA.

APM: But in cases where developers are not accessing APA directly, if they do not have their own dashboard connected to the APA tool, then it really just comes down to the politics of the organization.

DD: You are right. APA, like all technology, heavily involves politics. You can have the perfect tool, but if you have a completely siloed politic, and a completely siloed set of users, there is no magic wand to solve it just by technology.

APM: Yet, on the other hand, in the Radar Report you say that APA can help break down those silos.

DD: Sure, APA can help break down the silos because it can provide consistent data across silos. Everyone may not use the same datasets exactly but the data will be consistent. If you have a bunch of silo tools, each group using their own tools, the tools reinforce the finger-pointing. APA breaks down that barrier.

But if you have insurmountable political resistance to doing that, the only technology that might work would have to come out of pharmacology. We’ve often joked, in doing CMDB deployments, that there ought to be an accepted drug to go along with the process :)

APM: In your recent blog on APMdigest you talked about “collapsing the walls between traditional BI and traditional performance management and revolutionizing the industry along new, more dynamic lines.” What does the result look like?

DD: I don't know what the end result will be. I think that there will need to be more dialogue between what has been viewed as very separate worlds – business impact APA and BI. Hopefully there will be more of an appreciation for the fact that organizations need to tune their business – not just their services – in real-time or every hour, and so APA will evolve to more proactively complement more established BI technologies.

APM: What is the biggest change in the APA market that you have seen this year?

DD: I would say that there is a breath-taking acceleration in industry investment in the APA arena. That became increasingly evident while I was working on the Radar.

APM: Any predictions for APA next year?

DD: I think we will see growth in all three use cases – technical performance analytics, business impact management, and change impact and capacity optimization/planning. I think next year we may see enough innovation and enough critical mass in each use case for each to get its own Radar.

ABOUT Dennis Drogseth

Dennis Drogseth is VP of Research at Enterprise Management Associates (EMA). He manages the New Hampshire office and has been a driving force in establishing EMA’s New England presence. Drogseth brings over 30 of experience in various aspects of marketing and business planning for service management solutions. He supports EMA through leadership in Business Service Management (BSM), CMDB Systems, automation systems and service-centric financial optimization. He also works across practice areas to promote dialogs across critical areas of technology and market interdependencies.

Prior to joining EMA in 1998, Drogseth worked for Cabletron’s SPECTRUM management software and spent 14 years with IBM in marketing and communications. He holds a B.A. from Yale University, Magna Cum Laude.

Related Links:

Q&A Part One: EMA Talks About Advanced Performance Analytics

EMA Releases New Radar Report on Advanced Performance Analytics

APMdigest Sponsors Featured in New EMA Radar Report on Advanced Performance Analytics

EMA's Dennis Drogseth Publishes New Novel

Click here to download the EMA Radar Report on Advanced Performance Analytics

View the EMA On-demand webinar- Advanced Performance Analytics (APA) Radar Report: Big Data with a New, Real-time Context

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Q&A Part Two: EMA Talks About Advanced Performance Analytics

Pete Goldin
APMdigest

In APMdigest's exclusive interview, Dennis Drogseth, VP of Research at Enterprise Management Associates (EMA), talks about the recently released EMA Radar for Advanced Performance Analytics (APA) Use Cases: Q4 2012, the benefits of APA, and the future of the technology.

Start with Part One: EMA Talks About Advanced Performance Analytics

APM: What benefits can be gained from an APA solution?

DD: The main benefits are faster deployments; vastly accelerated problem solving; reduced mean time to repair; much expanded mean time between failure, so you can anticipate problems; and ultimately also a much more powerful way of linking what IT does to business value.

APM: One of the advantages is that APA runs itself, correct? It is self-learning and does not require a lot of administration.

DD: By and large the answer is yes, self-learning APA does not require much administration. The data we looked at showed the average was a half-employee or less needed for administration.

One of the points that I heard consistently across all the deployments is that they looked at a lot of other solutions but “this one” really worked much faster, and did not require much overhead.

APM: Is this why APA delivers fast ROI, as you mention in the report?

DD: APA is faster to deploy typically too. Especially when the integrations are fully supported out of the box. For instance, you are not focused on instrumentation for phase-one data collection.

You could say that is a bit of fiction because in many cases APA and monitoring are bundled together, but in a growing number of cases they are not. And so the analytic capability, to harness that information, learn from it and produce valuable results, delivers much faster value than traditional monitoring tools. And over a broader area.

I believe that we are going to see – in five years or less – a real separation of business models where you have innovators going for more APA as overlays, and also innovators going for data collection to support the growth of APA, to try to provide the ultimate agent, for instance, to support APA solutions. I think you're going to see entire business models arise to do that.

Data collection and basic instrumentation, basic monitoring, will become separated from advanced analytics and I think that will be really good for the industry, versus stovepipe tools that do it all themselves.

That is of course a long-term evolution. And we are looking at a jungle of wild animals in different shapes, not a linear logical progression. But I am projecting that, five years out, we will begin to see that kind of differentiation take hold.

APM: In the Radar Report you say APA can help bridge the gap between IT and Business. How?

DD: A growing number of business outcomes in whatever vertical – financial, healthcare, e-business, retail, manufacturing – are directly supported through IT services. They require either interactions with an application or application-to-application interactions. The business impact analytics that we are looking at in this Radar involve tuning business outcomes based on application services and other business services. By doing that you can see who is interacting with what transactions and services, what they are doing, how the business is impacted, how revenue is being generated, what geographies are most efficient, etc. And in a growing number of cases you are actually looking at business process issues. You are looking at business outcomes very specifically.

One person I talked to put it beautifully: “I have to tune my business – not my IT or my apps – I have to tune my business every hour. How are you going to do that with traditional warehousing tools?”

APM: In the Radar Report you mention DevOps as a value add for APA. How does APA relate to DevOps?

DD: Most of the APA solutions today support a smoother transition into production. In some cases development is directly accessing the APA tools. In others it is providing a fast feedback system to see if something is not going to work. DevOps is clearly another growth area for APA.

APM: But in cases where developers are not accessing APA directly, if they do not have their own dashboard connected to the APA tool, then it really just comes down to the politics of the organization.

DD: You are right. APA, like all technology, heavily involves politics. You can have the perfect tool, but if you have a completely siloed politic, and a completely siloed set of users, there is no magic wand to solve it just by technology.

APM: Yet, on the other hand, in the Radar Report you say that APA can help break down those silos.

DD: Sure, APA can help break down the silos because it can provide consistent data across silos. Everyone may not use the same datasets exactly but the data will be consistent. If you have a bunch of silo tools, each group using their own tools, the tools reinforce the finger-pointing. APA breaks down that barrier.

But if you have insurmountable political resistance to doing that, the only technology that might work would have to come out of pharmacology. We’ve often joked, in doing CMDB deployments, that there ought to be an accepted drug to go along with the process :)

APM: In your recent blog on APMdigest you talked about “collapsing the walls between traditional BI and traditional performance management and revolutionizing the industry along new, more dynamic lines.” What does the result look like?

DD: I don't know what the end result will be. I think that there will need to be more dialogue between what has been viewed as very separate worlds – business impact APA and BI. Hopefully there will be more of an appreciation for the fact that organizations need to tune their business – not just their services – in real-time or every hour, and so APA will evolve to more proactively complement more established BI technologies.

APM: What is the biggest change in the APA market that you have seen this year?

DD: I would say that there is a breath-taking acceleration in industry investment in the APA arena. That became increasingly evident while I was working on the Radar.

APM: Any predictions for APA next year?

DD: I think we will see growth in all three use cases – technical performance analytics, business impact management, and change impact and capacity optimization/planning. I think next year we may see enough innovation and enough critical mass in each use case for each to get its own Radar.

ABOUT Dennis Drogseth

Dennis Drogseth is VP of Research at Enterprise Management Associates (EMA). He manages the New Hampshire office and has been a driving force in establishing EMA’s New England presence. Drogseth brings over 30 of experience in various aspects of marketing and business planning for service management solutions. He supports EMA through leadership in Business Service Management (BSM), CMDB Systems, automation systems and service-centric financial optimization. He also works across practice areas to promote dialogs across critical areas of technology and market interdependencies.

Prior to joining EMA in 1998, Drogseth worked for Cabletron’s SPECTRUM management software and spent 14 years with IBM in marketing and communications. He holds a B.A. from Yale University, Magna Cum Laude.

Related Links:

Q&A Part One: EMA Talks About Advanced Performance Analytics

EMA Releases New Radar Report on Advanced Performance Analytics

APMdigest Sponsors Featured in New EMA Radar Report on Advanced Performance Analytics

EMA's Dennis Drogseth Publishes New Novel

Click here to download the EMA Radar Report on Advanced Performance Analytics

View the EMA On-demand webinar- Advanced Performance Analytics (APA) Radar Report: Big Data with a New, Real-time Context

Hot Topic
The Latest
The Latest 10

The Latest

I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...