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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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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

Seeing is believing, or in this case, seeing is understanding, according to New Relic's 2025 Observability Forecast for Retail and eCommerce report. Retailers who want to provide exceptional customer experiences while improving IT operations efficiency are leaning on observability ... Here are five key takeaways from the report ...

Technology leaders across the federal landscape are facing, and will continue to face, an uphill battle when it comes to fortifying their digital environments against hostile and persistent threat actors. On one hand, they are being asked to push digital transformation ... On the other hand, they are facing the fiscal uncertainty of continuing resolutions (CR) and government shutdowns looming near and far. In the face of these challenges, CIOs, CTOs, and CISOs must figure out how to modernize legacy systems and infrastructure while doing more with less and still defending against external and internal threats ...

Reliability is no longer proven by uptime alone, according to the The SRE Report 2026 from LogicMonitor. In the AI era, it is experienced through speed, consistency, and user trust, and increasingly judged by business impact. As digital services grow more complex and AI systems move into production, traditional monitoring approaches are struggling to keep pace, increasing the need for AI-first observability that spans applications, infrastructure, and the Internet ...

If AI is the engine of a modern organization, then data engineering is the road system beneath it. You can build the most powerful engine in the world, but without paved roads, traffic signals, and bridges that can support its weight, it will stall. In many enterprises, the engine is ready. The roads are not ...

In the world of digital-first business, there is no tolerance for service outages. Businesses know that outages are the quickest way to lose money and customers. For smaller organizations, unplanned downtime could even force the business to close ... A new study from PagerDuty, The State of AI-First Operations, reveals that companies actively incorporating AI into operations now view operational resilience as a growth driver rather than a cost center. But how are they achieving it? ...

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...