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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

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 ...

When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...

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

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 ...

When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...