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10 Application Monitoring Tips

Jay Labadini

Your applications should ensure end-user satisfaction and boost productivity for employees and partners. Therefore, IT pros implementing or monitoring applications should take the time to understand how end-users interact with their application, share the proper amount of information with the right stakeholders, implement the right workflows and ensure they are performing top-notch.

Here are 10 quick tips to help you get started.

Tip 1: Prioritize which applications should be monitored first

With a growing number of employees bypassing IT and going rogue to the cloud, it's anarchy out there. Plus counting legacy applications, Citrix and Terminal server hosted apps, CRM, EHR, custom-built applications, accounting, invoicing, HR, email and collaboration tools, the list of applications your employees, partners or customers rely on (and you support) is long.

Your applications fuel your business, so they must consistently perform well, and ultra-fast. Since you have to start somewhere, identify those critical applications that must perform well in order to run your business (e.g. applications migrated to the cloud, CRM, ERP, EHR systems), and monitor them first. You know better than anybody else what is critical to your business and users.

Tip 2: Identify critical transactions to monitor

Put on your "think from an end-user perspective hat" and map out common functions used by your power users (e.g. those using your applications the most, those driving the most revenue, upper management, etc.). Or better yet, schedule a meeting with your business counterparts, management and stakeholders to identify critical functionality from their perspective.

If you recently went through the process of implementing a new application, you should have your workflows already mapped, right? As you document critical transaction paths or workflows for your application users, this is a great time to fine tune your processes and minimize the number of steps needed for common functions.

Tip 3: Proactively monitor your applications from an end-user perspective

End-users are more impatient than ever before. Therefore, you should continuously monitor each one of these critical transactions (or workflows) from a user perspective, taking response time measurements for each step to ensure user SLAs are met.

It is unacceptable that in 35% of cases IT learns that there is an issue when a user opens a helpdesk ticket or calls to complain (Source: Forrester Research). Change the game and get ahead; find and resolve bottlenecks, errors and constraints, problems before your users are impacted.

Tip 4: Decide polling frequencies and alerting policies

A good rule of thumb is to monitor key transactions more frequently (e.g. being able to send a sales proposal is more critical than reporting on sales pipeline, or being able to sell online is more important that reading a product review) to identify performance degradation signs earlier.

Take the time to define who should be alerted in the event of specific threshold violations, and configure the number of response time violations that will trigger an alert to eliminate false positives and alert storms.

Don't forget to look for key monitoring functionality like scheduling monitoring tests or disable alerting on scheduled maintenance periods or when you are on vacation. You should be in control of your monitoring.

Tip 5: Identify geographical response time discrepancies early on

Employees at remote offices could experience slower response times than those accessing your applications from headquarters; legacy applications could underperform for some offices or branches. Get ahead of user complaints. The faster way to find and resolve problems like this is to monitor and compare availability and response time of your applications across multiple monitoring locations (Headquarters, Boston, NYC, remote office locations, etc.).

Tip 6: Define your custom reports

Since different metrics are important for different stakeholders, take the time to map out role-based reports with custom information for each team (per application, per transaction, per functionality, etc.), and automatically distribute reports on an on-going basis (daily, weekly or monthly basis) to keep everybody informed and aligned.

Tip 7: Centralize IT response procedures and workflow

From legacy applications, to client server applications, to web applications, to home-grown custom applications, cloud-based or green screen apps, most large enterprises have a complex portfolio with 250-500 applications to support. The cost of purchasing, configuring and maintaining several monitoring products to support individual applications is too high.

Plus lack of integration across monitoring consoles results in islands of uncorrelated information which leads to wrong conclusions, hinders troubleshooting and increases Mean-Time-To-Resolution (MTTR).

Instead, look for one solution that lets you test and monitor all applications, so you can quickly identify problem root cause.

Tip 8: Keep everybody in the loop

In a new era where end-user satisfaction rules, you need to continuously validate and demonstrate your SLAs, so go ahead and periodically share your SLA reports with your users and stakeholders. Provide a quick summary dashboard with a drill-in so that they don't have to peruse voluminous reports.

Plus since user satisfaction is the ultimate measurement of IT success (your success), this is the best metric to promote the value that IT provides to your organization.

Tip 9: Review results on an on-going basis

Do you need to fine-tune? Do you need to optimize application performance? With a metric-driven strategy in place you can keep all stakeholders in the know, and take informed business decisions that directly impact your bottom line (e.g. quickly ascertain if you need to focus on performance optimization or not, change cloud providers, etc.).

Tip 10: Ensure quality

Build a culture where application quality is not an afterthought. You should include testing (functional testing, regression testing, performance testing, load testing) in all application development/application implementation cycles right from the beginning to ensure quality. Being able to reuse your test scripts for production monitoring will also help streamline your processes.

In summary, your end-users have the last word on whether they are satisfied with the speed, availability and performance of your applications, so implement, test and monitor your applications from your end-users' perspective.

And don't forget your mobile users. Smart devices are not only competing for PCs' place in your users' lives, or in the enterprise – they are replacing the experience. In fact, the amount of time users spend browsing the Web on their mobile devices is trouncing desktops (Source: The Wall Street Journal). And mobile user expectations are on par with, if not higher than, their desktop counterparts. Therefore, look for SLA application monitoring for both mobile and desktop users. Good luck!

Jay Labadini is a VP and Co-Founder of Tevron.

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AI systems are still prone to hallucinations and misjudgments ... To build the trust needed for adoption, AI must be paired with human-in-the-loop (HITL) oversight, or checkpoints where humans verify, guide, and decide what actions are taken. The balance between autonomy and accountability is what will allow AI to deliver on its promise without sacrificing human trust ...

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Enterprise IT has become increasingly complex and fragmented. Organizations are juggling dozens — sometimes hundreds — of different tools for endpoint management, security, app delivery, and employee experience. Each one needs its own license, its own maintenance, and its own integration. The result is a patchwork of overlapping tools, data stuck in silos, security vulnerabilities, and IT teams are spending more time managing software than actually getting work done ...

2025 was the year everybody finally saw the cracks in the foundation. If you were running production workloads, you probably lived through at least one outage you could not explain to your executives without pulling up a diagram and a whiteboard ...

10 Application Monitoring Tips

Jay Labadini

Your applications should ensure end-user satisfaction and boost productivity for employees and partners. Therefore, IT pros implementing or monitoring applications should take the time to understand how end-users interact with their application, share the proper amount of information with the right stakeholders, implement the right workflows and ensure they are performing top-notch.

Here are 10 quick tips to help you get started.

Tip 1: Prioritize which applications should be monitored first

With a growing number of employees bypassing IT and going rogue to the cloud, it's anarchy out there. Plus counting legacy applications, Citrix and Terminal server hosted apps, CRM, EHR, custom-built applications, accounting, invoicing, HR, email and collaboration tools, the list of applications your employees, partners or customers rely on (and you support) is long.

Your applications fuel your business, so they must consistently perform well, and ultra-fast. Since you have to start somewhere, identify those critical applications that must perform well in order to run your business (e.g. applications migrated to the cloud, CRM, ERP, EHR systems), and monitor them first. You know better than anybody else what is critical to your business and users.

Tip 2: Identify critical transactions to monitor

Put on your "think from an end-user perspective hat" and map out common functions used by your power users (e.g. those using your applications the most, those driving the most revenue, upper management, etc.). Or better yet, schedule a meeting with your business counterparts, management and stakeholders to identify critical functionality from their perspective.

If you recently went through the process of implementing a new application, you should have your workflows already mapped, right? As you document critical transaction paths or workflows for your application users, this is a great time to fine tune your processes and minimize the number of steps needed for common functions.

Tip 3: Proactively monitor your applications from an end-user perspective

End-users are more impatient than ever before. Therefore, you should continuously monitor each one of these critical transactions (or workflows) from a user perspective, taking response time measurements for each step to ensure user SLAs are met.

It is unacceptable that in 35% of cases IT learns that there is an issue when a user opens a helpdesk ticket or calls to complain (Source: Forrester Research). Change the game and get ahead; find and resolve bottlenecks, errors and constraints, problems before your users are impacted.

Tip 4: Decide polling frequencies and alerting policies

A good rule of thumb is to monitor key transactions more frequently (e.g. being able to send a sales proposal is more critical than reporting on sales pipeline, or being able to sell online is more important that reading a product review) to identify performance degradation signs earlier.

Take the time to define who should be alerted in the event of specific threshold violations, and configure the number of response time violations that will trigger an alert to eliminate false positives and alert storms.

Don't forget to look for key monitoring functionality like scheduling monitoring tests or disable alerting on scheduled maintenance periods or when you are on vacation. You should be in control of your monitoring.

Tip 5: Identify geographical response time discrepancies early on

Employees at remote offices could experience slower response times than those accessing your applications from headquarters; legacy applications could underperform for some offices or branches. Get ahead of user complaints. The faster way to find and resolve problems like this is to monitor and compare availability and response time of your applications across multiple monitoring locations (Headquarters, Boston, NYC, remote office locations, etc.).

Tip 6: Define your custom reports

Since different metrics are important for different stakeholders, take the time to map out role-based reports with custom information for each team (per application, per transaction, per functionality, etc.), and automatically distribute reports on an on-going basis (daily, weekly or monthly basis) to keep everybody informed and aligned.

Tip 7: Centralize IT response procedures and workflow

From legacy applications, to client server applications, to web applications, to home-grown custom applications, cloud-based or green screen apps, most large enterprises have a complex portfolio with 250-500 applications to support. The cost of purchasing, configuring and maintaining several monitoring products to support individual applications is too high.

Plus lack of integration across monitoring consoles results in islands of uncorrelated information which leads to wrong conclusions, hinders troubleshooting and increases Mean-Time-To-Resolution (MTTR).

Instead, look for one solution that lets you test and monitor all applications, so you can quickly identify problem root cause.

Tip 8: Keep everybody in the loop

In a new era where end-user satisfaction rules, you need to continuously validate and demonstrate your SLAs, so go ahead and periodically share your SLA reports with your users and stakeholders. Provide a quick summary dashboard with a drill-in so that they don't have to peruse voluminous reports.

Plus since user satisfaction is the ultimate measurement of IT success (your success), this is the best metric to promote the value that IT provides to your organization.

Tip 9: Review results on an on-going basis

Do you need to fine-tune? Do you need to optimize application performance? With a metric-driven strategy in place you can keep all stakeholders in the know, and take informed business decisions that directly impact your bottom line (e.g. quickly ascertain if you need to focus on performance optimization or not, change cloud providers, etc.).

Tip 10: Ensure quality

Build a culture where application quality is not an afterthought. You should include testing (functional testing, regression testing, performance testing, load testing) in all application development/application implementation cycles right from the beginning to ensure quality. Being able to reuse your test scripts for production monitoring will also help streamline your processes.

In summary, your end-users have the last word on whether they are satisfied with the speed, availability and performance of your applications, so implement, test and monitor your applications from your end-users' perspective.

And don't forget your mobile users. Smart devices are not only competing for PCs' place in your users' lives, or in the enterprise – they are replacing the experience. In fact, the amount of time users spend browsing the Web on their mobile devices is trouncing desktops (Source: The Wall Street Journal). And mobile user expectations are on par with, if not higher than, their desktop counterparts. Therefore, look for SLA application monitoring for both mobile and desktop users. Good luck!

Jay Labadini is a VP and Co-Founder of Tevron.

Hot Topics

The Latest

For years, infrastructure teams have treated compute as a relatively stable input. Capacity was provisioned, costs were forecasted, and performance expectations were set based on the assumption that identical resources behaved identically. That mental model is starting to break down. AI infrastructure is no longer behaving like static cloud capacity. It is increasingly behaving like a market ...

Resilience can no longer be defined by how quickly an organization recovers from an incident or disruption. The effectiveness of any resilience strategy is dependent on its ability to anticipate change, operate under continuous stress, and adapt confidently amid uncertainty ...

Mobile users are less tolerant of app instability than ever before. According to a new report from Luciq, No Margin for Error: What Mobile Users Expect and What Mobile Leaders Must Deliver in 2026, even minor performance issues now result in immediate abandonment, lost purchases, and long-term brand impact ...

Artificial intelligence (AI) has become the dominant force shaping enterprise data strategies. Boards expect progress. Executives expect returns. And data leaders are under pressure to prove that their organizations are "AI-ready" ...

Agentic AI is a major buzzword for 2026. Many tech companies are making bold promises about this technology, but many aren't grounded in reality, at least not yet. This coming year will likely be shaped by reality checks for IT teams, and progress will only come from a focus on strong foundations and disciplined execution ...

AI systems are still prone to hallucinations and misjudgments ... To build the trust needed for adoption, AI must be paired with human-in-the-loop (HITL) oversight, or checkpoints where humans verify, guide, and decide what actions are taken. The balance between autonomy and accountability is what will allow AI to deliver on its promise without sacrificing human trust ...

More data center leaders are reducing their reliance on utility grids by investing in onsite power for rapidly scaling data centers, according to the Data Center Power Report from Bloom Energy ...

In MEAN TIME TO INSIGHT Episode 21, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses AI-driven NetOps ... 

Enterprise IT has become increasingly complex and fragmented. Organizations are juggling dozens — sometimes hundreds — of different tools for endpoint management, security, app delivery, and employee experience. Each one needs its own license, its own maintenance, and its own integration. The result is a patchwork of overlapping tools, data stuck in silos, security vulnerabilities, and IT teams are spending more time managing software than actually getting work done ...

2025 was the year everybody finally saw the cracks in the foundation. If you were running production workloads, you probably lived through at least one outage you could not explain to your executives without pulling up a diagram and a whiteboard ...