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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

I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...