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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

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When discussing AI Observability, one of the first questions that arises: Is this just an extension of traditional observability or is this a whole new type of tool? Part 2 compares traditional observability with AI observability ...

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Most enterprise IT leaders can tell you exactly how many applications are running across their organization. They can surface a dashboard showing telecom spend by region, pull a report on SaaS license utilization, or call up a real-time view of mobile device inventory. The data is there, and IT leaders have largely delivered on the promise of visibility. Yet, in most organizations, that visibility has not translated into business value ...

Government agencies are largely misjudging their level of AI governance as the technology permeates their organization, according to Racing to Deploy: How Public Sector AI Adoption is Moving Faster Than the Foundations Needed to Support It, a new report from SolarWinds ...

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

Part 4 outlines the challenges enterprise face when adopting AI observability. The main challenge is that AI complexity compounds at every stage of maturity. LLM-based applications introduce new behavior, dependencies, and quality considerations, while Agentic AI adds further failure modes as systems make decisions and take actions ...

Part 3 reports on the current state of AI observability. Most experts agree: enterprises are moving faster with AI than they are with the operational discipline needed to run it safely ...

When discussing AI Observability, one of the first questions that arises: Is this just an extension of traditional observability or is this a whole new type of tool? Part 2 compares traditional observability with AI observability ...

In this extensive 14-part series that will post over the next three weeks, experts across observability and AI will provide insight and opinions on the need for AI Observability, the challenges, the benefits, the current state, and predictions for the future ...

Amid rising complexity, organizations are moving quickly toward agent-driven operations: AgenticOps, according to The Impact of Agentic AI on Network Operations, a new report from Cisco ...

AI, automation, and enterprise software give organizations an extraordinary amount of leverage. Work that once required hours can happen in minutes. Information buried across systems can be analyzed almost instantly. Complex workflows can be coordinated across teams with far less manual intervention. That leverage creates a temptation to start with the technology ...

Everyone wants to talk about models. Compute clusters. Benchmark scores that climb a fraction of a point and make headlines anyway. It's an easy conversation to have because it's measurable. But it's also increasingly beside the point ...

For more than a decade, the default infrastructure play has been simple. Move more workloads to the cloud, retire on-premises gear and treat the data center as a cost to shrink. That logic held while public cloud offered near-limitless capacity at predictable prices, and AI demand is now testing both halves of that assumption ...

Most enterprise IT leaders can tell you exactly how many applications are running across their organization. They can surface a dashboard showing telecom spend by region, pull a report on SaaS license utilization, or call up a real-time view of mobile device inventory. The data is there, and IT leaders have largely delivered on the promise of visibility. Yet, in most organizations, that visibility has not translated into business value ...

Government agencies are largely misjudging their level of AI governance as the technology permeates their organization, according to Racing to Deploy: How Public Sector AI Adoption is Moving Faster Than the Foundations Needed to Support It, a new report from SolarWinds ...