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Another Look At Gartner's 5 Dimensions of APM

Helping IT Operate at the New Speed of Business

APMdigest followers will already have read the article on Gartner's 5 Dimensions of APM. While that article examines the advantages of  single- or multi-vendor sourcing for the Application Performance Management (APM) tools that address these different dimensions, we'd like to look at this matter from a different angle: What are the important issues and goals to consider when evaluating a suite of APM solutions -- from one or more vendors -- to ensure that your APM solution will help IT operate at the new speed of business? 

Consider Gartner's 5 dimensions of APM again:

1. End-user experience monitoring

The ability to capture end-to-end application performance data is critical, but few of today's apps are straight-line affairs. A web-based storefront, for instance, may present a user with ads or catalog information from sources that are outside of the storefront owner's own infrastructure. A traditional experience monitoring tool might look at how quickly the website interacts with the back-end sales applications. However, the speed of that transaction is only one part -- and a relatively late part -- of the user's experience.

If a problem outside of the vendor's infrastructure is delaying the delivery of third-party catalog content -- and causing the entire web page to load slowly -- the user may never get to the point of clicking the "Place my Order" button. 

Today's businesses need APM tools that can monitor all aspects of the user experience. You may have no control over the third-party servers pushing content to your site, but you need to know how those servers affect the end user experience.

It also helps if your APM tools can enable you to make changes on the fly if the network links or external servers are compromising the overall experience you want to provide your users.

2. Run-time application architecture discovery, modeling, and display

The environment in which today's applications execute are more and more complex. With distributed networks, virtualized machines, web services and service-oriented architectures (and more), discovering, modeling, and displaying all the components that contribute to application performance is a challenge. You need tools that can provide real-time insight into all aspects of your application delivery infrastructure.

For efficiency's sake, IT organizations should be able to visualize this complete infrastructure on the same console that provides insight into the end-user experience. In a world of real-time business, IT teams need to be able to interact with all aspects of an APM solution quickly, efficiently, and effectively.  

3. User-defined transaction profiling

User-defined transaction profiling is not just about tracing events as they occur among components or as they move across the paths discovered in the second dimension. What's important here is to understand whether events are occurring when, where, and as efficiently​ as you want them to occur. 

Real-time IT organizations need APM tools for tracing events along an application path in the context of defined KPIs. To achieve that, these tools need to interact very efficiently with the APM tools you use for end user experience monitoring and run-time application architecture discovery, modeling, and display. This ensures efficient information reuse, but more importantly a frictionless interaction between these tools is that you need to minimize latency in the system. In a real-time, performance-oriented world, latency is to be avoided.

4. Component deep-dive monitoring in application context

The critical consideration related to deep dive monitoring is how well the tools you use work together. Six best-of-breed component monitoring tools presenting information on six different consoles would be absurd. Relying on a single manager of managers (MOM), though, to create the appearance of an integrated monitoring solution may simply mask the inefficiencies inherent in trying rely on six different monitoring tools.

If you decide not to use a single tool to provide deep-dive monitoring of your entire business infrastructure, be sure that your SI integrates the different tools you have selected with low-latency, real-time responsiveness in mind. Moreover, be sure that all the information captured by the tools can be used in real time by the other components within the APM suite.​

5. Analytics

If your data is modeled correctly -- and the important word here is "if" -- you can use sophisticated analytical tools to discover all kinds of opportunities to improve application performance or the user's experience of your application. The important consideration is the data model itself. All the tools we have just discussed must be able to contribute data easily to a performance management database (PMDB). If they cannot, you then have to invest in further complexity to deploy additional tools to transform data from one solution so that it becomes useful to other tools -- and that is highly inefficient.   

Ultimately, it is important to consider the world in which your applications exist. Business is increasingly moving to a real-time model. It requires real-time responsiveness. Batch-oriented APM tools that are designed to support a break-fix mentality and aimed at infrastructure running exclusively on a corporate network over which IT has complete control -- these won't help you in the world we live in.

Your APM tools must provide real-time, transaction-orientation support. They must contribute to a real-time responsiveness, driven by the needs of business and focused on the quality of the user experience of the applications -- both inside and beyond the firewall.

About Raj Sabhlok and Suvish Viswanathan

Raj Sabhlok is the President of ManageEngine. Suvish Viswanathan is an APM Research Analyst at ManageEngine. ​ ManageEngine is a division of Zoho Corp. and makers of a globally renowned suite of cost-effective network, systems, security, and applications management software solutions.

Related Links:

www.manageengine.com

Gartner's 5 Dimensions of APM

The Latest

While organizations want to take control of their telemetry, building telemetry pipelines from scratch can be a very daunting, complicated task, even when leveraging open-source standards like OpenTelemetry. It requires specialized knowledge across distributed systems, data engineering, and security. This fragmented approach across systems causes higher operational costs; it puts a strain on resources and reduces efficiency as teams have to work with different interfaces and processes ...

For decades, enterprise networks were designed around a simple assumption: work happened inside the office. Applications lived in centralized data centers, employees connected through internal infrastructure, and security focused on protecting the perimeter that surrounded everything ... But the way organizations operate today bears little resemblance to that environment. Cloud platforms host critical applications, employees connect from homes and airports as often as they do from offices, and partners collaborate through shared systems that exist far beyond corporate walls. In short, the corporate network no longer resembles the environment it was designed to protect ...

As an analyst who researches how IT organizations design, build, and operate their networks, I find that network data is a constant source of pain. Network teams struggle with data quality, fragmentation, authority, access, and trust. And these issues undermine everything they try to do. Here are the numbers: Only 45% of network teams are completely confident in the accuracy of their network source of truth, which documents the intent of their network ...

The 2026 Global Data Center Survey from Uptime Institute reveals an industry navigating workforce constraints, escalating outage expenses, even as rising costs remain the top concern for management teams ...

The next observability gap may not be in the code. It may be under the rack. That sounds strange until you think about how AI incidents actually feel in the middle of an investigation ... The application dashboard may be accurate. It may also be stopping at the wrong boundary. AI systems depend on software, but they also depend on a dense physical stack: racks, power paths, thermal margin, maintenance activity and, in many environments, liquid cooling. Those physical dependencies can change slowly before they look like a software incident ...

Certificate expiration is the rare outage you can see coming. Every TLS certificate carries the date it stops working, so the moment it will begin breaking connections is knowable in advance. That's what makes an expired certificate such a frustrating way to lose a service. What's changing now is how often that date comes around ...

Enterprises operate different combinations of workloads across cloud, hybrid and multicloud environments. For business-critical workloads, teams need to consider monitoring and observability early so they can detect health issues, investigate failures, and understand operational impact. Organizations place workloads on cloud platforms based on a combination of technical requirements, economics, existing dependencies, organizational standards, and business priorities. Their monitoring priorities therefore depend on what they operate and where those systems run. Those priorities will not look the same for every organization ...

Top-performing businesses prioritize data-driven decision making, enabling leaders to move from intuition and gut feel towards evidence-based judgment. But that judgment is only sound when the data underpinning decisions is accurate. With incident management, data accuracy is particularly important. Long-term revenue, customer trust, and operational stability depend on high-quality data that enables teams to quickly identify and address the root cause of major incidents. Against this backdrop, governance becomes a critical endeavor to ensure the right data drives the right action ...

In MEAN TIME TO INSIGHT Episode 26, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network compliance ... 

Most production autonomous agents do not run in a vacuum. They run inside cloud infrastructure: virtual machines, containers, pods, managed clusters or private servers. That is where most operations teams start monitoring. Is the VM alive? Is the container running? Did the pod restart? Is memory stable? Is CPU too high? Did the health check pass? Those signals are useful. They tell you whether the shell around the agent is alive. They do not tell you whether the agent inside is actually operational ...

Another Look At Gartner's 5 Dimensions of APM

Helping IT Operate at the New Speed of Business

APMdigest followers will already have read the article on Gartner's 5 Dimensions of APM. While that article examines the advantages of  single- or multi-vendor sourcing for the Application Performance Management (APM) tools that address these different dimensions, we'd like to look at this matter from a different angle: What are the important issues and goals to consider when evaluating a suite of APM solutions -- from one or more vendors -- to ensure that your APM solution will help IT operate at the new speed of business? 

Consider Gartner's 5 dimensions of APM again:

1. End-user experience monitoring

The ability to capture end-to-end application performance data is critical, but few of today's apps are straight-line affairs. A web-based storefront, for instance, may present a user with ads or catalog information from sources that are outside of the storefront owner's own infrastructure. A traditional experience monitoring tool might look at how quickly the website interacts with the back-end sales applications. However, the speed of that transaction is only one part -- and a relatively late part -- of the user's experience.

If a problem outside of the vendor's infrastructure is delaying the delivery of third-party catalog content -- and causing the entire web page to load slowly -- the user may never get to the point of clicking the "Place my Order" button. 

Today's businesses need APM tools that can monitor all aspects of the user experience. You may have no control over the third-party servers pushing content to your site, but you need to know how those servers affect the end user experience.

It also helps if your APM tools can enable you to make changes on the fly if the network links or external servers are compromising the overall experience you want to provide your users.

2. Run-time application architecture discovery, modeling, and display

The environment in which today's applications execute are more and more complex. With distributed networks, virtualized machines, web services and service-oriented architectures (and more), discovering, modeling, and displaying all the components that contribute to application performance is a challenge. You need tools that can provide real-time insight into all aspects of your application delivery infrastructure.

For efficiency's sake, IT organizations should be able to visualize this complete infrastructure on the same console that provides insight into the end-user experience. In a world of real-time business, IT teams need to be able to interact with all aspects of an APM solution quickly, efficiently, and effectively.  

3. User-defined transaction profiling

User-defined transaction profiling is not just about tracing events as they occur among components or as they move across the paths discovered in the second dimension. What's important here is to understand whether events are occurring when, where, and as efficiently​ as you want them to occur. 

Real-time IT organizations need APM tools for tracing events along an application path in the context of defined KPIs. To achieve that, these tools need to interact very efficiently with the APM tools you use for end user experience monitoring and run-time application architecture discovery, modeling, and display. This ensures efficient information reuse, but more importantly a frictionless interaction between these tools is that you need to minimize latency in the system. In a real-time, performance-oriented world, latency is to be avoided.

4. Component deep-dive monitoring in application context

The critical consideration related to deep dive monitoring is how well the tools you use work together. Six best-of-breed component monitoring tools presenting information on six different consoles would be absurd. Relying on a single manager of managers (MOM), though, to create the appearance of an integrated monitoring solution may simply mask the inefficiencies inherent in trying rely on six different monitoring tools.

If you decide not to use a single tool to provide deep-dive monitoring of your entire business infrastructure, be sure that your SI integrates the different tools you have selected with low-latency, real-time responsiveness in mind. Moreover, be sure that all the information captured by the tools can be used in real time by the other components within the APM suite.​

5. Analytics

If your data is modeled correctly -- and the important word here is "if" -- you can use sophisticated analytical tools to discover all kinds of opportunities to improve application performance or the user's experience of your application. The important consideration is the data model itself. All the tools we have just discussed must be able to contribute data easily to a performance management database (PMDB). If they cannot, you then have to invest in further complexity to deploy additional tools to transform data from one solution so that it becomes useful to other tools -- and that is highly inefficient.   

Ultimately, it is important to consider the world in which your applications exist. Business is increasingly moving to a real-time model. It requires real-time responsiveness. Batch-oriented APM tools that are designed to support a break-fix mentality and aimed at infrastructure running exclusively on a corporate network over which IT has complete control -- these won't help you in the world we live in.

Your APM tools must provide real-time, transaction-orientation support. They must contribute to a real-time responsiveness, driven by the needs of business and focused on the quality of the user experience of the applications -- both inside and beyond the firewall.

About Raj Sabhlok and Suvish Viswanathan

Raj Sabhlok is the President of ManageEngine. Suvish Viswanathan is an APM Research Analyst at ManageEngine. ​ ManageEngine is a division of Zoho Corp. and makers of a globally renowned suite of cost-effective network, systems, security, and applications management software solutions.

Related Links:

www.manageengine.com

Gartner's 5 Dimensions of APM

The Latest

While organizations want to take control of their telemetry, building telemetry pipelines from scratch can be a very daunting, complicated task, even when leveraging open-source standards like OpenTelemetry. It requires specialized knowledge across distributed systems, data engineering, and security. This fragmented approach across systems causes higher operational costs; it puts a strain on resources and reduces efficiency as teams have to work with different interfaces and processes ...

For decades, enterprise networks were designed around a simple assumption: work happened inside the office. Applications lived in centralized data centers, employees connected through internal infrastructure, and security focused on protecting the perimeter that surrounded everything ... But the way organizations operate today bears little resemblance to that environment. Cloud platforms host critical applications, employees connect from homes and airports as often as they do from offices, and partners collaborate through shared systems that exist far beyond corporate walls. In short, the corporate network no longer resembles the environment it was designed to protect ...

As an analyst who researches how IT organizations design, build, and operate their networks, I find that network data is a constant source of pain. Network teams struggle with data quality, fragmentation, authority, access, and trust. And these issues undermine everything they try to do. Here are the numbers: Only 45% of network teams are completely confident in the accuracy of their network source of truth, which documents the intent of their network ...

The 2026 Global Data Center Survey from Uptime Institute reveals an industry navigating workforce constraints, escalating outage expenses, even as rising costs remain the top concern for management teams ...

The next observability gap may not be in the code. It may be under the rack. That sounds strange until you think about how AI incidents actually feel in the middle of an investigation ... The application dashboard may be accurate. It may also be stopping at the wrong boundary. AI systems depend on software, but they also depend on a dense physical stack: racks, power paths, thermal margin, maintenance activity and, in many environments, liquid cooling. Those physical dependencies can change slowly before they look like a software incident ...

Certificate expiration is the rare outage you can see coming. Every TLS certificate carries the date it stops working, so the moment it will begin breaking connections is knowable in advance. That's what makes an expired certificate such a frustrating way to lose a service. What's changing now is how often that date comes around ...

Enterprises operate different combinations of workloads across cloud, hybrid and multicloud environments. For business-critical workloads, teams need to consider monitoring and observability early so they can detect health issues, investigate failures, and understand operational impact. Organizations place workloads on cloud platforms based on a combination of technical requirements, economics, existing dependencies, organizational standards, and business priorities. Their monitoring priorities therefore depend on what they operate and where those systems run. Those priorities will not look the same for every organization ...

Top-performing businesses prioritize data-driven decision making, enabling leaders to move from intuition and gut feel towards evidence-based judgment. But that judgment is only sound when the data underpinning decisions is accurate. With incident management, data accuracy is particularly important. Long-term revenue, customer trust, and operational stability depend on high-quality data that enables teams to quickly identify and address the root cause of major incidents. Against this backdrop, governance becomes a critical endeavor to ensure the right data drives the right action ...

In MEAN TIME TO INSIGHT Episode 26, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network compliance ... 

Most production autonomous agents do not run in a vacuum. They run inside cloud infrastructure: virtual machines, containers, pods, managed clusters or private servers. That is where most operations teams start monitoring. Is the VM alive? Is the container running? Did the pod restart? Is memory stable? Is CPU too high? Did the health check pass? Those signals are useful. They tell you whether the shell around the agent is alive. They do not tell you whether the agent inside is actually operational ...