APM Technology is Ripe for Disruption

Eric Futoran
Embrace
Learn more about Embrace

The first word in APM technology is "Application" ... yet for mobile, apps are entirely different. The paradigm for mobile is not remotely the same as for a server or a web-browser.

As the mobile app ecosystem is evolving and expanding from pure entertainment, such as gaming and social messaging, to more utilitarian uses, like ride sharing, payments, IoT in the home and more, there's a rising need for the next generation of APM technology to stay ahead of the issues that can cause apps to fail.

APM software has been around for a long time handling server and browser-based applications, but lest we forget, it's still relatively new for mobile. Applying the same methodologies of agent-based software that works so well on a server does not make sense when each phone runs an app on different hardware and entirely different conditions (connectivity, battery, other apps running, driving … ).

For mobile, the most common cited causes of friction are technical issues that users have within an app, whether that means crashes, freezes (like an endless spinner) or some combination of those that prevent users from taking actions in-app.

Not only is mobile in-and-of-itself disrupting APM, but the mobile ecosystem is evolving hyper fast with the emergence of new technologies, such as multi-tenant cloud storage, 5G, and the next generation of smartphones.

The following is an overview of the emerging technologies that are impacting mobile apps significantly over the next several years:

1. Mobile

Server architecture and web-browsers over time have become very mature and, thus, standardized. An error on one server for which an APM is built to catch is probably going to occur the same way elsewhere. An error in Chrome or Safari is probably not going to be different because of the PC on which it's running. APM reflects the fact that error tracking is about discovering a known set of errors, counting them, and when applicable, providing snapshots and traces of the environment at the time of error.

Mobile phones reflect a real person and their very specific uses. I may walk my dog and have two games, Facebook and a retail app running all at the same time. The fact of mobile is there is no standardization. APM is disrupted by mobile because there are no known set of errors but instead a set of frustrated users with unique environments. APM solutions need to think ‘bottom-up' and track each experience to automatically identify and detect errors.

Now expand the variables — since each mobile device runs the app's code, third-party libraries and APIs add a layer of complexity because they do not route through your servers but instead begin and end in your users' hands.

To provide more value in this mobile application environment, we need to be able to collect all this data and distill into actionable insights. This means rethinking and redesigning APM platforms for an entirely different mobile stack.

2. Proliferation of 5G

A great limiter to a lag-free and richer mobile experience is the size of the "pipeline." On the server-side, bandwidth and throughput are known commodities and taken for granted by APMs. In mobile, the pipe through which we send data is constantly changing. (We have all had 4-bars, but our apps have ground to a halt. Recall that concert or parking lot experience.) In addition, the multitude of apps running on a phone (as well as the Apple and Google OS) compete for this limited commodity.

As 5G technology becomes prevalent in the next several years, the size of the pipeline for data to come through will be greater and higher speeds will ultimately affect the mobile app experience. We'll have the lag-free bandwidth necessary for ultra-high definition video, interactivity and connectivity needed to stream video content from apps via smartphones. We'll also gain lower frame rate limitations for smoother viewing experience (increasing more opportunity for VR as well). Further, more than just mobile screens, internet-connected devices, in the world of IoT, will become more interlinked than ever before. In other words, mobile apps will become more complex and APMs will have to follow suit.

3. Cloud and Edge Computing

Mobile puts a powerful computer in your pocket, on your wrist, in your car, and right in front of your eyes. Everything is migrating to the cloud, including mobile apps data. APM didn't even use cloud technologies before, now we have multi-tenant, distributed data storage that has changed the paradigm of cost structures, processing and storage. In this new world of cloud storage, data can be captured, calculated and distributed to the end user in near real time.

Traditional APM companies have already had a difficult time transitioning to a containerized computing world. (The most well-known APM companies are still struggling to even update pricing models to reflect a server-less world.) With mobile and edge computing, the computing will only shift farther outward and become more distributed. APM companies that focus on specific servers, processors, and even containers will again need to shift their business models and technologies.

4. A New Generation of Smartphones

In the next year, we have heard the rumors: foldable phones, Apple and Google doubling down on the most advanced chipsets ever, and amazing screen resolutions. Manufacturers of mobile devices are finally innovating again. Not to mention, the exponential trends towards expanding the storage space and memory. Thus, PCs and servers will become less prevalent as mobile devices become even easier to use and take steps towards a frictionless experience whether purchasing items, requesting a dog walker or using your phone instead of a credit card. APM models will be disrupted by the very fact that web-browsers will decline in use.

Conclusions

Mobile is disrupting how developers should think about APM technology, and 5G is coming in a big way for all industries. When we have unlimited bandwidth, we're going to see change in many ways from typical mobile engagement of users with streaming apps, and moving into much bigger changes with interactive and shared media experiences through IoT, AR and VR.

The challenge will be to ensure that the experiences are unobtrusive as opposed to annoying and disruptive to users. APM technology must radically change to meet the requirements of this new entirely mobile, streaming, 5G-enabled world. It's time for developers to start thinking differently about how we solve the next big challenges in application performance through the next generation of platform technology.

Eric Futoran is CEO of Embrace

Related Links

Hot Topics

Related Vendors

The Latest

Gartner: Regular AI System Assessments Triple the Likelihood of High GenAI Value

Organizations that perform regular audits and assessments of AI system performance and compliance are over three times more likely to achieve high GenAI value than organizations that do not, according to a survey by Gartner ...

Beyond Autoscaling: What True Kubernetes Optimization Actually Requires

Kubernetes has become the backbone of cloud infrastructure, but it's also one of its biggest cost drivers. Recent research shows that 98% of senior IT leaders say Kubernetes now drives cloud spend, yet 91% still can't optimize it effectively. After years of adoption, most organizations have moved past discovery. They know container sprawl, idle resources and reactive scaling inflate costs. What they don't know is how to fix it ...

Is Your Network Ready for the AI Boom? 5 Overlooked Stress Points

Artificial intelligence is no longer a future investment. It's already embedded in how we work — whether through copilots in productivity apps, real-time transcription tools in meetings, or machine learning models fueling analytics and personalization. But while enterprise adoption accelerates, there's one critical area many leaders have yet to examine: Can your network actually support AI at the speed your users expect? ...

Keeping Your Business Stable When Going Through an IT Disaster

The more technology businesses invest in, the more potential attack surfaces they have that can be exploited. Without the right continuity plans in place, the disruptions caused by these attacks can bring operations to a standstill and cause irreparable damage to an organization. It's essential to take the time now to ensure your business has the right tools, processes, and recovery initiatives in place to weather any type of IT disaster that comes up. Here are some effective strategies you can follow to achieve this ...

How Engineers Can Use AIOps to Innovate Their Infrastructure

In today's fast-paced AI landscape, CIOs, IT leaders, and engineers are constantly challenged to manage increasingly complex and interconnected systems. The sheer scale and velocity of data generated by modern infrastructure can be overwhelming, making it difficult to maintain uptime, prevent outages, and create a seamless customer experience. This complexity is magnified by the industry's shift towards agentic AI ...

MEAN TIME TO INSIGHT Podcast - Episode 19: The AWS Outage

In MEAN TIME TO INSIGHT Episode 19, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA explains the cause of the AWS outage in October ... 

Cloud Migration Delays Are Putting Businesses at Risk

The explosion of generative AI and machine learning capabilities has fundamentally changed the conversation around cloud migration. It's no longer just about modernization or cost savings — it's about being able to compete in a market where AI is rapidly becoming table stakes. Companies that can't quickly spin up AI workloads, feed models with data at scale, or experiment with new capabilities are falling behind faster than ever before. But here's what I'm seeing: many organizations want to capitalize on AI, but they're stuck ...

Understanding the Plight of Today's IT Pro

On September 16, the world celebrated the 10th annual IT Pro Day, giving companies a chance to laud the professionals who serve as the backbone to almost every successful business across the globe. Despite the growing importance of their roles, many IT pros still work in the background and often go underappreciated ...

The Two-Way Relationship Between AI and Observability

Artificial Intelligence (AI) is reshaping observability, and observability is becoming essential for AI. This is a two-way relationship that is increasingly relevant as enterprises scale generative AI ... This dual role makes AI and observability inseparable. In this blog, I cover more details of each side ...

Unrelenting IT Issues Cost Millions of Hours in Lost Productivity

Poor DEX directly costs global businesses an average of 470,000 hours per year, equivalent to around 226 full-time employees, according to a new report from Nexthink, Cracking the DEX Equation: The Annual Workplace Productivity Report. This indicates that digital friction is a vital and underreported element of the global productivity crisis ...

APM Technology is Ripe for Disruption

Eric Futoran
Embrace
Learn more about Embrace

The first word in APM technology is "Application" ... yet for mobile, apps are entirely different. The paradigm for mobile is not remotely the same as for a server or a web-browser.

As the mobile app ecosystem is evolving and expanding from pure entertainment, such as gaming and social messaging, to more utilitarian uses, like ride sharing, payments, IoT in the home and more, there's a rising need for the next generation of APM technology to stay ahead of the issues that can cause apps to fail.

APM software has been around for a long time handling server and browser-based applications, but lest we forget, it's still relatively new for mobile. Applying the same methodologies of agent-based software that works so well on a server does not make sense when each phone runs an app on different hardware and entirely different conditions (connectivity, battery, other apps running, driving … ).

For mobile, the most common cited causes of friction are technical issues that users have within an app, whether that means crashes, freezes (like an endless spinner) or some combination of those that prevent users from taking actions in-app.

Not only is mobile in-and-of-itself disrupting APM, but the mobile ecosystem is evolving hyper fast with the emergence of new technologies, such as multi-tenant cloud storage, 5G, and the next generation of smartphones.

The following is an overview of the emerging technologies that are impacting mobile apps significantly over the next several years:

1. Mobile

Server architecture and web-browsers over time have become very mature and, thus, standardized. An error on one server for which an APM is built to catch is probably going to occur the same way elsewhere. An error in Chrome or Safari is probably not going to be different because of the PC on which it's running. APM reflects the fact that error tracking is about discovering a known set of errors, counting them, and when applicable, providing snapshots and traces of the environment at the time of error.

Mobile phones reflect a real person and their very specific uses. I may walk my dog and have two games, Facebook and a retail app running all at the same time. The fact of mobile is there is no standardization. APM is disrupted by mobile because there are no known set of errors but instead a set of frustrated users with unique environments. APM solutions need to think ‘bottom-up' and track each experience to automatically identify and detect errors.

Now expand the variables — since each mobile device runs the app's code, third-party libraries and APIs add a layer of complexity because they do not route through your servers but instead begin and end in your users' hands.

To provide more value in this mobile application environment, we need to be able to collect all this data and distill into actionable insights. This means rethinking and redesigning APM platforms for an entirely different mobile stack.

2. Proliferation of 5G

A great limiter to a lag-free and richer mobile experience is the size of the "pipeline." On the server-side, bandwidth and throughput are known commodities and taken for granted by APMs. In mobile, the pipe through which we send data is constantly changing. (We have all had 4-bars, but our apps have ground to a halt. Recall that concert or parking lot experience.) In addition, the multitude of apps running on a phone (as well as the Apple and Google OS) compete for this limited commodity.

As 5G technology becomes prevalent in the next several years, the size of the pipeline for data to come through will be greater and higher speeds will ultimately affect the mobile app experience. We'll have the lag-free bandwidth necessary for ultra-high definition video, interactivity and connectivity needed to stream video content from apps via smartphones. We'll also gain lower frame rate limitations for smoother viewing experience (increasing more opportunity for VR as well). Further, more than just mobile screens, internet-connected devices, in the world of IoT, will become more interlinked than ever before. In other words, mobile apps will become more complex and APMs will have to follow suit.

3. Cloud and Edge Computing

Mobile puts a powerful computer in your pocket, on your wrist, in your car, and right in front of your eyes. Everything is migrating to the cloud, including mobile apps data. APM didn't even use cloud technologies before, now we have multi-tenant, distributed data storage that has changed the paradigm of cost structures, processing and storage. In this new world of cloud storage, data can be captured, calculated and distributed to the end user in near real time.

Traditional APM companies have already had a difficult time transitioning to a containerized computing world. (The most well-known APM companies are still struggling to even update pricing models to reflect a server-less world.) With mobile and edge computing, the computing will only shift farther outward and become more distributed. APM companies that focus on specific servers, processors, and even containers will again need to shift their business models and technologies.

4. A New Generation of Smartphones

In the next year, we have heard the rumors: foldable phones, Apple and Google doubling down on the most advanced chipsets ever, and amazing screen resolutions. Manufacturers of mobile devices are finally innovating again. Not to mention, the exponential trends towards expanding the storage space and memory. Thus, PCs and servers will become less prevalent as mobile devices become even easier to use and take steps towards a frictionless experience whether purchasing items, requesting a dog walker or using your phone instead of a credit card. APM models will be disrupted by the very fact that web-browsers will decline in use.

Conclusions

Mobile is disrupting how developers should think about APM technology, and 5G is coming in a big way for all industries. When we have unlimited bandwidth, we're going to see change in many ways from typical mobile engagement of users with streaming apps, and moving into much bigger changes with interactive and shared media experiences through IoT, AR and VR.

The challenge will be to ensure that the experiences are unobtrusive as opposed to annoying and disruptive to users. APM technology must radically change to meet the requirements of this new entirely mobile, streaming, 5G-enabled world. It's time for developers to start thinking differently about how we solve the next big challenges in application performance through the next generation of platform technology.

Eric Futoran is CEO of Embrace

Related Links

Hot Topics

Related Vendors

The Latest

Gartner: Regular AI System Assessments Triple the Likelihood of High GenAI Value

Organizations that perform regular audits and assessments of AI system performance and compliance are over three times more likely to achieve high GenAI value than organizations that do not, according to a survey by Gartner ...

Beyond Autoscaling: What True Kubernetes Optimization Actually Requires

Kubernetes has become the backbone of cloud infrastructure, but it's also one of its biggest cost drivers. Recent research shows that 98% of senior IT leaders say Kubernetes now drives cloud spend, yet 91% still can't optimize it effectively. After years of adoption, most organizations have moved past discovery. They know container sprawl, idle resources and reactive scaling inflate costs. What they don't know is how to fix it ...

Is Your Network Ready for the AI Boom? 5 Overlooked Stress Points

Artificial intelligence is no longer a future investment. It's already embedded in how we work — whether through copilots in productivity apps, real-time transcription tools in meetings, or machine learning models fueling analytics and personalization. But while enterprise adoption accelerates, there's one critical area many leaders have yet to examine: Can your network actually support AI at the speed your users expect? ...

Keeping Your Business Stable When Going Through an IT Disaster

The more technology businesses invest in, the more potential attack surfaces they have that can be exploited. Without the right continuity plans in place, the disruptions caused by these attacks can bring operations to a standstill and cause irreparable damage to an organization. It's essential to take the time now to ensure your business has the right tools, processes, and recovery initiatives in place to weather any type of IT disaster that comes up. Here are some effective strategies you can follow to achieve this ...

How Engineers Can Use AIOps to Innovate Their Infrastructure

In today's fast-paced AI landscape, CIOs, IT leaders, and engineers are constantly challenged to manage increasingly complex and interconnected systems. The sheer scale and velocity of data generated by modern infrastructure can be overwhelming, making it difficult to maintain uptime, prevent outages, and create a seamless customer experience. This complexity is magnified by the industry's shift towards agentic AI ...

MEAN TIME TO INSIGHT Podcast - Episode 19: The AWS Outage

In MEAN TIME TO INSIGHT Episode 19, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA explains the cause of the AWS outage in October ... 

Cloud Migration Delays Are Putting Businesses at Risk

The explosion of generative AI and machine learning capabilities has fundamentally changed the conversation around cloud migration. It's no longer just about modernization or cost savings — it's about being able to compete in a market where AI is rapidly becoming table stakes. Companies that can't quickly spin up AI workloads, feed models with data at scale, or experiment with new capabilities are falling behind faster than ever before. But here's what I'm seeing: many organizations want to capitalize on AI, but they're stuck ...

Understanding the Plight of Today's IT Pro

On September 16, the world celebrated the 10th annual IT Pro Day, giving companies a chance to laud the professionals who serve as the backbone to almost every successful business across the globe. Despite the growing importance of their roles, many IT pros still work in the background and often go underappreciated ...

The Two-Way Relationship Between AI and Observability

Artificial Intelligence (AI) is reshaping observability, and observability is becoming essential for AI. This is a two-way relationship that is increasingly relevant as enterprises scale generative AI ... This dual role makes AI and observability inseparable. In this blog, I cover more details of each side ...

Unrelenting IT Issues Cost Millions of Hours in Lost Productivity

Poor DEX directly costs global businesses an average of 470,000 hours per year, equivalent to around 226 full-time employees, according to a new report from Nexthink, Cracking the DEX Equation: The Annual Workplace Productivity Report. This indicates that digital friction is a vital and underreported element of the global productivity crisis ...