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UEM: Closing Costly Visibility Gaps in Application Delivery Management

Julie Craig

Today’s complex computing environments make it difficult to achieve the visibility needed to effectively monitor end-to-end application delivery. For many modern applications, User Experience Monitoring (UEM) solutions are the only real way to measure application quality and responsiveness. As applications become more complex, diverse, and bandwidth intensive, UEM solutions become more essential.

New technologies — such as virtualization, integrations, containers, and microservices — are increasing application complexity and, as EMA’s latest UEM/APM research shows, forcing many IT organizations to rethink their tooling strategies. Organizations still attempting to manage application ecosystems with siloed tools are increasingly falling short. And even those that have invested heavily in enterprise management solutions often still lack the insights they need to adequately support and monitor hybrid cloud, API-centric transactions, carrier service levels, and end-to-end execution.

From the IT perspective, this complexity is driving up the costs associated with developing, operating, monitoring, and maintaining business applications.

From the business perspective, applications built over complex technologies can create production issues which are simply bad business. When performance and availability problems are not proactively addressed, they impact the productivity of internal users as well as the spending habits of external users and customers.

And despite the growing adoption of sophisticated application-focused toolsets, too many IT organizations still first hear about application-related issues primarily from the users themselves.

EMA research revealed that the #1 way IT organizations are most often notified of performance or availability issues is still via user calls, either directly to IT or to the help desk. It also uncovered many of the reasons why these issues not being detected before they begin to impact users.

One reason is that the process of troubleshooting and performing root-cause analysis is simply too time-intensive. The most commonly reported issue with application support is “excessive time spent troubleshooting”. More than 1/3 of IT practitioners say that “troubleshooting takes too long” in their organizations. Often, busy IT practitioners can’t take time out from support and project work to spend the hours necessary to diagnose and fix these problems — so the same problems keep recurring over time.

Another reason is lack of visibility to application ecosystems. More than 80% of respondents said their current tools lack visibility to at least one aspect of application monitoring. They also indicated that their tools did not adequately support collaboration, that they were silo-focused, and that they lacked adequate correlation analytics.

In short, the proliferation of modern applications has created a level of complexity that makes enterprise-grade, application-focused solutions essential to day-to-day application support. And UEM is increasingly key to mitigating the costs and challenges associated with supporting today’s application ecosystems.

As a matter of fact, 80% of respondents to the same survey ranked UEM capabilities as “critical” or “very important” to business and IT outcomes. And when respondents were asked which three application-related products they would purchase if given the chance, UEM solutions topped the “wish list”.

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UEM: Closing Costly Visibility Gaps in Application Delivery Management

Julie Craig

Today’s complex computing environments make it difficult to achieve the visibility needed to effectively monitor end-to-end application delivery. For many modern applications, User Experience Monitoring (UEM) solutions are the only real way to measure application quality and responsiveness. As applications become more complex, diverse, and bandwidth intensive, UEM solutions become more essential.

New technologies — such as virtualization, integrations, containers, and microservices — are increasing application complexity and, as EMA’s latest UEM/APM research shows, forcing many IT organizations to rethink their tooling strategies. Organizations still attempting to manage application ecosystems with siloed tools are increasingly falling short. And even those that have invested heavily in enterprise management solutions often still lack the insights they need to adequately support and monitor hybrid cloud, API-centric transactions, carrier service levels, and end-to-end execution.

From the IT perspective, this complexity is driving up the costs associated with developing, operating, monitoring, and maintaining business applications.

From the business perspective, applications built over complex technologies can create production issues which are simply bad business. When performance and availability problems are not proactively addressed, they impact the productivity of internal users as well as the spending habits of external users and customers.

And despite the growing adoption of sophisticated application-focused toolsets, too many IT organizations still first hear about application-related issues primarily from the users themselves.

EMA research revealed that the #1 way IT organizations are most often notified of performance or availability issues is still via user calls, either directly to IT or to the help desk. It also uncovered many of the reasons why these issues not being detected before they begin to impact users.

One reason is that the process of troubleshooting and performing root-cause analysis is simply too time-intensive. The most commonly reported issue with application support is “excessive time spent troubleshooting”. More than 1/3 of IT practitioners say that “troubleshooting takes too long” in their organizations. Often, busy IT practitioners can’t take time out from support and project work to spend the hours necessary to diagnose and fix these problems — so the same problems keep recurring over time.

Another reason is lack of visibility to application ecosystems. More than 80% of respondents said their current tools lack visibility to at least one aspect of application monitoring. They also indicated that their tools did not adequately support collaboration, that they were silo-focused, and that they lacked adequate correlation analytics.

In short, the proliferation of modern applications has created a level of complexity that makes enterprise-grade, application-focused solutions essential to day-to-day application support. And UEM is increasingly key to mitigating the costs and challenges associated with supporting today’s application ecosystems.

As a matter of fact, 80% of respondents to the same survey ranked UEM capabilities as “critical” or “very important” to business and IT outcomes. And when respondents were asked which three application-related products they would purchase if given the chance, UEM solutions topped the “wish list”.

Hot Topics

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 ...

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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 ...

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