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5 Tips For Getting Started on End-User Monitoring

Finding and implementing the appropriate end-user monitoring solution for your business requires significant effort, but it will be worthwhile in the end, if done properly.

The following are a couple tips that companies should consider:

1. Get Together

End-user monitoring will not be successful unless the IT and business teams work together toward a common goal: improving the company’s business services.

2. Get Your Priorities Straight

You must focus on the most mission-critical business services your company provides. Knowing your customer, what’s important to them, is essential in deciding which are the vital metrics to monitor.

3. Get Started with a Focused Pilot

The cost of end-user monitoring is hard to justify for some companies. You could monitor anything and everything but there is a cost associated with that. A better approach is to start with the top mission-critical applications for the business.

“Companies that focus on the fewest applications to start with are the most successful,” advises Lloyd Bloom of Compuware. “The pilot program should start with two or three applications. When the company has a good handle on managing those applications, they can expand it.”

4. Get the Right Info to the Right People

You must make alerts meaningful, and get the right information to the right people so the data is actionable. Consider accountability within your organization, and how the alerting, reporting and dashboards of the monitoring product will support those responsible for making decisions and solving problems.

“With any monitoring product, if you don’t use the information, the tool will turn into shelfware,” warns Bloom.

5. Get Help

Many companies fail to understand the effort needed to design and implement end-user monitoring. Companies are better off engaging help to implement the initial program and getting the training necessary to maintain the project once it is in production.

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5 Tips For Getting Started on End-User Monitoring

Finding and implementing the appropriate end-user monitoring solution for your business requires significant effort, but it will be worthwhile in the end, if done properly.

The following are a couple tips that companies should consider:

1. Get Together

End-user monitoring will not be successful unless the IT and business teams work together toward a common goal: improving the company’s business services.

2. Get Your Priorities Straight

You must focus on the most mission-critical business services your company provides. Knowing your customer, what’s important to them, is essential in deciding which are the vital metrics to monitor.

3. Get Started with a Focused Pilot

The cost of end-user monitoring is hard to justify for some companies. You could monitor anything and everything but there is a cost associated with that. A better approach is to start with the top mission-critical applications for the business.

“Companies that focus on the fewest applications to start with are the most successful,” advises Lloyd Bloom of Compuware. “The pilot program should start with two or three applications. When the company has a good handle on managing those applications, they can expand it.”

4. Get the Right Info to the Right People

You must make alerts meaningful, and get the right information to the right people so the data is actionable. Consider accountability within your organization, and how the alerting, reporting and dashboards of the monitoring product will support those responsible for making decisions and solving problems.

“With any monitoring product, if you don’t use the information, the tool will turn into shelfware,” warns Bloom.

5. Get Help

Many companies fail to understand the effort needed to design and implement end-user monitoring. Companies are better off engaging help to implement the initial program and getting the training necessary to maintain the project once it is in production.

Hot Topics

The Latest

Every digital customer interaction, every cloud deployment, and every AI model depends on the same foundation: the ability to see, understand, and act on data in real time ... Recent data from Splunk confirms that 74% of the business leaders believe observability is essential to monitoring critical business processes, and 66% feel it's key to understanding user journeys. Because while the unknown is inevitable, observability makes it manageable. Let's explore why ...

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 ...

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 ...

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? ...

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 ...

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 ...

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 ... 

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 ...

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 ...

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 ...