Delivering Deep Insights Into End User Quality of Experience

Learn more about ManageEngine

The quality of an end user's experience of an application is becoming an ever more important consideration in the APM world. It's not enough to draw a conclusion about the end user's experience based on an evaluation of how an individual application is performing. Increasingly, multiple applications and loosely coupled infrastructure components are coming together to contribute to the end user's experience. Understanding how all those applications and components are interacting at the point where the user is engaging them is crucial to an understanding of the user's experience.

So where do you start to gain this understanding? First, you must identify what constitutes a user's experience of an application: Response speed? Ease of information access? Depth of integration with other applications? Until you understand what constitutes a user's experience, you're not in a position to measure or quantify it.

Some of the elements that contribute to an end user's experience of an application will be inside the corporate firewall — servers, routers, database machines, and more.

Other elements contributing to the end user's experience will be outside the corporate firewall — data feeds from third parties, for example.

Organizations that want to know how well their applications are performing for users — particularly customers who are interacting from outside the firewall — need tools to monitor the user's experience that look at it from both the inside and the outside.

Monitoring Application Response Times For Each Transaction

Today's application infrastructures involve many servers, routers, switches, load balancers, and more. In any given application, information moves among these different devices. To understand fully what is happening every time the data moves among application or network elements, you need tools that can track and capture transaction information in real time and at a very granular level.

You also need to monitor for patterns in user engagement. Response times for an online booking application, for example, may be consistent all week long, then spike suddenly on a Friday night when everyone leaves work for the weekend. The user experience of your applications on a Friday night may be poor, given the traffic that your systems are experiencing.

Without insight into the response times for each movement between application and infrastructure elements, though, you won't know where to make changes to improve the end user experience.

Monitoring Business Metrics Related to Application Performance

While the ability to monitor all the different aspects of the application and infrastructure that contribute to end user experience is critical, you also need a context in which the data you capture from that monitoring effort has relevance. You need to develop business metrics that identify desired transaction performance levels.

Without both the metrics and the ability to track transaction performance against those metrics, you have information without any context — and it is impossible know where or how to refine a user's experience without that context.

Monitoring the Impact on End User Experience Across Infrastructure Tiers

Increasingly, today's applications are built from loosely coupled components that can exist in many different places and in many different infrastructure tiers — even within a single organization. Tracing root causes of end user experience problems is more complicated now, given the different infrastructure tiers in place.

In order to improve that end user experience, you need tools that can provide a comprehensive view of all those infrastructure elements — and show you how data and messages are moving between those elements.

Generating Synthetic Transactions For Measuring End User Performance

Finally, the ability to monitor the end user experience and trace root causes of problems across different transactions and infrastructure elements is crucial when an end user calls to report a problem. With these tools, you can find and fix a problem quickly.

However, it would be better to monitor the system proactively, finding end user experience problems before the end users report them. If you are able to do that, you could eliminate a large number of poor experiences before users even encounter them.

Passive monitoring tools can provide insights into the end user experience from outside the firewall. They can monitor the transactions, the transitions from page to page in a web application, and how much time it takes before the user can move on to a next step while waiting for a transaction to complete.

Active monitoring tools, in contrast, can create synthetic transactions that you can use to understand end user experience without the end user's involvement. They enable you to get a jump on end user experience management, because you can find and fix problems before the users do.

Ultimately, when you're looking at APM, you need to pay particular attention to the tools that enable you to monitor and manage the experience of the end user. The traditional APM tools are powerful tools for managing traditional applications, but as newer applications veer away from the traditional development and deployment models, you need tools that can focus on the end user experience, in order to understand how best to use the APM tools to modify the application delivery environment.

Create the right user experience, and you will keep more customers. They will be engaged with the experience you have created — and that, ultimately, is the best measure of application performance.

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

Click to read "Another Look at Gartner's 5 Dimensions of APM" by Raj Sabhlok and Suvish Viswanathan

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Delivering Deep Insights Into End User Quality of Experience

Learn more about ManageEngine

The quality of an end user's experience of an application is becoming an ever more important consideration in the APM world. It's not enough to draw a conclusion about the end user's experience based on an evaluation of how an individual application is performing. Increasingly, multiple applications and loosely coupled infrastructure components are coming together to contribute to the end user's experience. Understanding how all those applications and components are interacting at the point where the user is engaging them is crucial to an understanding of the user's experience.

So where do you start to gain this understanding? First, you must identify what constitutes a user's experience of an application: Response speed? Ease of information access? Depth of integration with other applications? Until you understand what constitutes a user's experience, you're not in a position to measure or quantify it.

Some of the elements that contribute to an end user's experience of an application will be inside the corporate firewall — servers, routers, database machines, and more.

Other elements contributing to the end user's experience will be outside the corporate firewall — data feeds from third parties, for example.

Organizations that want to know how well their applications are performing for users — particularly customers who are interacting from outside the firewall — need tools to monitor the user's experience that look at it from both the inside and the outside.

Monitoring Application Response Times For Each Transaction

Today's application infrastructures involve many servers, routers, switches, load balancers, and more. In any given application, information moves among these different devices. To understand fully what is happening every time the data moves among application or network elements, you need tools that can track and capture transaction information in real time and at a very granular level.

You also need to monitor for patterns in user engagement. Response times for an online booking application, for example, may be consistent all week long, then spike suddenly on a Friday night when everyone leaves work for the weekend. The user experience of your applications on a Friday night may be poor, given the traffic that your systems are experiencing.

Without insight into the response times for each movement between application and infrastructure elements, though, you won't know where to make changes to improve the end user experience.

Monitoring Business Metrics Related to Application Performance

While the ability to monitor all the different aspects of the application and infrastructure that contribute to end user experience is critical, you also need a context in which the data you capture from that monitoring effort has relevance. You need to develop business metrics that identify desired transaction performance levels.

Without both the metrics and the ability to track transaction performance against those metrics, you have information without any context — and it is impossible know where or how to refine a user's experience without that context.

Monitoring the Impact on End User Experience Across Infrastructure Tiers

Increasingly, today's applications are built from loosely coupled components that can exist in many different places and in many different infrastructure tiers — even within a single organization. Tracing root causes of end user experience problems is more complicated now, given the different infrastructure tiers in place.

In order to improve that end user experience, you need tools that can provide a comprehensive view of all those infrastructure elements — and show you how data and messages are moving between those elements.

Generating Synthetic Transactions For Measuring End User Performance

Finally, the ability to monitor the end user experience and trace root causes of problems across different transactions and infrastructure elements is crucial when an end user calls to report a problem. With these tools, you can find and fix a problem quickly.

However, it would be better to monitor the system proactively, finding end user experience problems before the end users report them. If you are able to do that, you could eliminate a large number of poor experiences before users even encounter them.

Passive monitoring tools can provide insights into the end user experience from outside the firewall. They can monitor the transactions, the transitions from page to page in a web application, and how much time it takes before the user can move on to a next step while waiting for a transaction to complete.

Active monitoring tools, in contrast, can create synthetic transactions that you can use to understand end user experience without the end user's involvement. They enable you to get a jump on end user experience management, because you can find and fix problems before the users do.

Ultimately, when you're looking at APM, you need to pay particular attention to the tools that enable you to monitor and manage the experience of the end user. The traditional APM tools are powerful tools for managing traditional applications, but as newer applications veer away from the traditional development and deployment models, you need tools that can focus on the end user experience, in order to understand how best to use the APM tools to modify the application delivery environment.

Create the right user experience, and you will keep more customers. They will be engaged with the experience you have created — and that, ultimately, is the best measure of application performance.

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

Click to read "Another Look at Gartner's 5 Dimensions of APM" by Raj Sabhlok and Suvish Viswanathan

Related Links

Hot Topics

The Latest

Three Strikes and They're Gone: Why Proactive Operations is Now a Customer Retention Strategy

IT organizations have historically measured success by how quickly they can respond when something goes wrong. The entire discipline of Incident Management has been optimized around mean time to resolution, first-response SLAs and ticket closure rates. But new research suggests that even though this is a well-executed playbook, it's no longer enough to retain customers ...

When the Database Is the Problem, Is APM Enough?

Production incidents rarely announce themselves as database problems. They appear as slow transactions, timeouts, rising response times, or an application struggling under a workload it previously handled. APM provides an essential starting point. It can identify a slow transaction path, highlight an affected service, and show that a database dependency is consuming more time than expected. But identifying the database as part of the problem is not the same as explaining what is happening inside it ...

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Cloud teams are under constant pressure to reduce spend without slowing development or increasing operational risk. They are deploying autoscalers, rightsizing workloads, enforcing resource requests, reviewing utilization dashboards, and building FinOps processes around cloud-native environments. Yet the results often disappoint ...

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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 ...

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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 ...

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