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APM and APM: When Two Acronyms Collide

Dennis Drogseth

According to most industry perceptions, application performance management (APM) and application portfolio management (APM) might seem to be worlds apart — or at best connected by a very thin thread. Much of this, admittedly, comes from application portfolio planning's roots in project and portfolio management, which lived in another realm and in my view in another era — when a cloistered development team got most of its go-ahead information from often equally cloistered business analysts. In other words, when the fertile dialog that's emerging between development, operations and ITSM teams was still in its infancy.

In this blog, I'd like to highlight three areas that are bridging the APM-to-APM divide: digital experience management, application discovery and dependency mapping (ADDM), and agile/DevOps lifecycle planning.

Digital Experience Management

In my view, probably the single most important lane in our 3-lane bridge connecting the two APMs is digitalor user experience management. Coincidentally, this is a technology area where I've witnessed another set of colliding acronyms — user experience management (UEM) and unified endpoint management(UEM), which also have at least a plank to unite them.

EMA's recent research revealed a striking connection between digital experience management and application portfolio planning right out of the gate. When asked, "Over the past three years, what has become more important for digital experience management?" application portfolio planningtied with application performance managementfor first place! If you're curious, agile, business development and customer management and cloudcame next.

Why was this just waiting to happen? Our data suggests that the answer lies in the fact that digital experience management embraces not only application performance, but also application outcomes and relevance. For instance, when we asked, "When you talk about digital experience management, what do you see bringing you the most value?" the answers in ranked order were:

1. Business impact

2. Performance

3. Change management

4. Design

5. Productivity

6. Usage

Of these, business impact, design, productivityand usageall directly inform business RELEVANCE and VALUE. In other words, if you wanted to plan your application portfolio meaningfully, wouldn't you want to capitalize on these insights which are, by the way, dynamic, real-time, and can be trended to correlate with business performance overall?

But COST was also a factor. In fact, given the pressures on IT for transparency in the "age of cloud" cost has become increasingly central to IT executive planning. When we asked about business metrics applied to digital experience management, the top five were:

1. Cost-related external SLAs with cloud and other service providers and partners

2. Business activity management impacts

3. Revenue-related impacts

4. Business process impacts

5. Service desk operational efficiencies

What you see is a sandwich — with two pieces of bread focused on cost (one and five) and the middle section (lettuce, cheese and ham?) squarely focused on value. All of these are relevant sources for meaningful application portfolio planning and management.

Application Discovery and Dependency Mapping

ADDM is really a bridge to many things. As you know, it can be central in understanding, prioritizing and resolving performance issues associated with application services by capturing application-to-infrastructure, as well as application-to-application, interdependencies. It is also an area of vast innovation in the industry, tied to multiple use cases with multiple product architectures and designs.

Two of the more prominent use cases for ADDM are change management and asset management. The latter is particularly relevant here because it connects business services with actual costs. Costs in terms of public cloud investments, on-premise hardware and software, and potentially even operational costs associated with everything from infrastructure management to software audits. In other words, ADDM can provide inestimable value in mapping the end products of IT (its application/business services) to all the associated costs surrounding the creation, delivery and support of those products.

Of course to do this, more than ADDM is required. More advanced investments in IT service management (ITSM), IT governance analytics, and more fluid approaches to IT asset management (ITAM) and software asset management (SAM) are needed to color in the picture. Best of all, though, once again, all this data is real (not just surmised), dynamic and current, and can be trended over time to capture historical insights into the real costs of managing an application business service.

Agile/DevOps Planning

On the one hand, linking application portfolio management to agile and DevOps should be a no-brainer. Pretty easy to figure that associated planning needs to be done before speedy execution. But I'm highlighting the connection here because the current focus on agile is all about speed, not about relevance. The truth is, as I like to say, you can "automate train wrecks." You can also, frankly, be "agile and dumb" –speedily doing enhancements that don't bring the most value at the cost to others that are far more relevant to business outcomes. So, I'd like to suggest a new brand for "agile" called "Informed Agile" — where APM truly meets APM.

In wrapping up, I'd like to add that I didn't mean these three lanes in the bridge between the two APMs to be complete or the last word. I'm sure there are other areas where APM meets APM, beyond these three. The very nature digital transformation, and the closely associated role of IT transformation, could add any number of layers, from SecOps requirements to advance IT analytics.

It seems to me that the time has already arrived for IT to look beyond traditional ways of working. The idea notion that business experts sit on one side of a wall, and IT professionals sit on the other now seems to belong to the past. That wall is crumbling, and the opportunity to have common conversation with common data points is finally emerging.

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APM and APM: When Two Acronyms Collide

Dennis Drogseth

According to most industry perceptions, application performance management (APM) and application portfolio management (APM) might seem to be worlds apart — or at best connected by a very thin thread. Much of this, admittedly, comes from application portfolio planning's roots in project and portfolio management, which lived in another realm and in my view in another era — when a cloistered development team got most of its go-ahead information from often equally cloistered business analysts. In other words, when the fertile dialog that's emerging between development, operations and ITSM teams was still in its infancy.

In this blog, I'd like to highlight three areas that are bridging the APM-to-APM divide: digital experience management, application discovery and dependency mapping (ADDM), and agile/DevOps lifecycle planning.

Digital Experience Management

In my view, probably the single most important lane in our 3-lane bridge connecting the two APMs is digitalor user experience management. Coincidentally, this is a technology area where I've witnessed another set of colliding acronyms — user experience management (UEM) and unified endpoint management(UEM), which also have at least a plank to unite them.

EMA's recent research revealed a striking connection between digital experience management and application portfolio planning right out of the gate. When asked, "Over the past three years, what has become more important for digital experience management?" application portfolio planningtied with application performance managementfor first place! If you're curious, agile, business development and customer management and cloudcame next.

Why was this just waiting to happen? Our data suggests that the answer lies in the fact that digital experience management embraces not only application performance, but also application outcomes and relevance. For instance, when we asked, "When you talk about digital experience management, what do you see bringing you the most value?" the answers in ranked order were:

1. Business impact

2. Performance

3. Change management

4. Design

5. Productivity

6. Usage

Of these, business impact, design, productivityand usageall directly inform business RELEVANCE and VALUE. In other words, if you wanted to plan your application portfolio meaningfully, wouldn't you want to capitalize on these insights which are, by the way, dynamic, real-time, and can be trended to correlate with business performance overall?

But COST was also a factor. In fact, given the pressures on IT for transparency in the "age of cloud" cost has become increasingly central to IT executive planning. When we asked about business metrics applied to digital experience management, the top five were:

1. Cost-related external SLAs with cloud and other service providers and partners

2. Business activity management impacts

3. Revenue-related impacts

4. Business process impacts

5. Service desk operational efficiencies

What you see is a sandwich — with two pieces of bread focused on cost (one and five) and the middle section (lettuce, cheese and ham?) squarely focused on value. All of these are relevant sources for meaningful application portfolio planning and management.

Application Discovery and Dependency Mapping

ADDM is really a bridge to many things. As you know, it can be central in understanding, prioritizing and resolving performance issues associated with application services by capturing application-to-infrastructure, as well as application-to-application, interdependencies. It is also an area of vast innovation in the industry, tied to multiple use cases with multiple product architectures and designs.

Two of the more prominent use cases for ADDM are change management and asset management. The latter is particularly relevant here because it connects business services with actual costs. Costs in terms of public cloud investments, on-premise hardware and software, and potentially even operational costs associated with everything from infrastructure management to software audits. In other words, ADDM can provide inestimable value in mapping the end products of IT (its application/business services) to all the associated costs surrounding the creation, delivery and support of those products.

Of course to do this, more than ADDM is required. More advanced investments in IT service management (ITSM), IT governance analytics, and more fluid approaches to IT asset management (ITAM) and software asset management (SAM) are needed to color in the picture. Best of all, though, once again, all this data is real (not just surmised), dynamic and current, and can be trended over time to capture historical insights into the real costs of managing an application business service.

Agile/DevOps Planning

On the one hand, linking application portfolio management to agile and DevOps should be a no-brainer. Pretty easy to figure that associated planning needs to be done before speedy execution. But I'm highlighting the connection here because the current focus on agile is all about speed, not about relevance. The truth is, as I like to say, you can "automate train wrecks." You can also, frankly, be "agile and dumb" –speedily doing enhancements that don't bring the most value at the cost to others that are far more relevant to business outcomes. So, I'd like to suggest a new brand for "agile" called "Informed Agile" — where APM truly meets APM.

In wrapping up, I'd like to add that I didn't mean these three lanes in the bridge between the two APMs to be complete or the last word. I'm sure there are other areas where APM meets APM, beyond these three. The very nature digital transformation, and the closely associated role of IT transformation, could add any number of layers, from SecOps requirements to advance IT analytics.

It seems to me that the time has already arrived for IT to look beyond traditional ways of working. The idea notion that business experts sit on one side of a wall, and IT professionals sit on the other now seems to belong to the past. That wall is crumbling, and the opportunity to have common conversation with common data points is finally emerging.

The Latest

The enterprises that will define the next decade are not the ones that deployed the most technology. They are the ones who understood what their technology was actually doing. That distinction is not a philosophical point. It is the central operational challenge facing every organization that has spent the last five years modernizing at speed ...

AI is becoming the operating system of the enterprise. It acts as an invisible coordination layer that understands intent, connects systems, and executes work across complex SaaS environments. Previously, employees had to click through multiple systems — CRM, ERP, support tools, collaboration platforms — to complete a single task. Now, instead of navigating each application manually, they can simply state what they need to accomplish ...

In 2026, the cost of downtime or an outage is no longer just a technical inconvenience; it's a $600 billion wake up call for global businesses. As our digital ecosystems become  more interconnected, each touchpoint introduces new risks and multiplies the consequences when things go wrong. And the data is clear: aggregate downtime costs  for Global 2,000 companies have surged 50% since 2024, reaching a staggering $600 billion ...

Deloitte found that 74% of enterprises expect to deploy agentic AI solutions in the next 24 months. However, the rush to deployment is outpacing foundational work, though. Only 21% of enterprises have fully formed agent governance models in place. The result? AI agents deployed without guidance or governance begin to function as fragmented islands of complexity ...

Cloud spending is no longer viewed as a passthrough IT expense, but as a strategic financial lever that directly impacts innovation capacity, profitability and enterprise resilience, according to the CFO Cloud Cost Optimization Report from Azul ...

As AI moves from generating responses to performing actions, the need for trust increases exponentially. And as organizations enlist AI agents for increasingly sophisticated business processes, trust is going to be the single most important theme for spurring adoption. What can organizations do to build trustworthy AI agents? ...

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 ...