Skip to main content

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

AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...

2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...

An overwhelming majority of IT leaders (95%) believe the upcoming wave of AI-powered digital transformation is set to be the most impactful and intensive seen thus far, according to The Science of Productivity: AI, Adoption, And Employee Experience, a new report from Nexthink ...

Overall outage frequency and the general level of reported severity continue to decline, according to the Outage Analysis 2025 from Uptime Institute. However, cyber security incidents are on the rise and often have severe, lasting impacts ...

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

AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...

2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...

An overwhelming majority of IT leaders (95%) believe the upcoming wave of AI-powered digital transformation is set to be the most impactful and intensive seen thus far, according to The Science of Productivity: AI, Adoption, And Employee Experience, a new report from Nexthink ...

Overall outage frequency and the general level of reported severity continue to decline, according to the Outage Analysis 2025 from Uptime Institute. However, cyber security incidents are on the rise and often have severe, lasting impacts ...