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Why APM is Valuable to Every Part of Your Business

Matt Watson

Virtually every business depends on mission-critical software to run their business. Any slight application slowdown or outage can lead to legions of unhappy employees or customers. Application Performance Management (APM) solutions can help monitor for performance issues, but they can also be used to gain insights to proactively improve performance as well.

APM is not just a tool for IT Operations. APM has grown into an essential tool that can be utilized by many departments within your business.

IT Operations

When you think of APM, you normally think about IT operations using it for monitoring mission-critical applications. Instead of only monitoring servers and infrastructure, APM solutions can help better track performance at the application level. Including overall performance, key transactions, and much, much more.

Development Teams

APM solutions collect a lot of data. Including code level performance, overall application usage and performance, metrics, log messages, errors, real user monitoring, and more. All of this data can be very valuable for developers when it comes to researching bugs in production. It can also be used to identify parts of an application that can be optimized and validating those performance optimizations.

Developers can also use APM in QA to test and validate the performance of their code before it gets to production.

QA

Traditionally, APM is thought to be used mostly in production. However, APM can be extremely valuable as part of your QA process to find problems before they get to production. It could be used to look for any overall change in performance, new application errors found, load testing validation and more.

Database Administrators

Most APM solutions track the performance of SQL queries. This can be useful information for your DBAs to augment other tools they may also have. They could potentially use APM for various monitoring capabilities. For example, monitoring how often a specific SQL query is taking or how often it is being called.

Product Owners and Executives

The product owner ultimately cares a lot about the application, its functionality, usage, service availability and performance. APM gives product owners visibility into the performance of their application and potentially into metrics around how much it is being used. APM dashboards are popular with product owners and other executives in a company.

Customer Service

When a customer calls and says your application is slow, what do you do? After a quick login test to your app, your customer service member would likely tell the customer that everything seems to be working fine, and the problem is likely on their end.

The problem is a user could be accessing your application on a different server, database, or even in a different data center. If your customer service team has access to basic APM dashboards, they could leverage those to better understand if any application problems may exist or not with more certainty. They also wouldn’t have to bug the IT department every time a customer complains.

Sales and Marketing

Major application outages are always a big PR problem for marketing teams, but hopefully they can use it to instead rave about how fast your application is! They could also use it to gather insights into how parts of your application are being used. Just like your customer service team, your sales team is going to get flooded with calls if your site is down.

Conclusion

Application performance is important to your entire business. APM solutions collect an amazing out of data and usually provide very flexible reporting options. I would encourage you to think of ways to leverage the value of it anywhere that you can.

Matt Watson is Founder and CEO of Stackify.

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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 ...

Why APM is Valuable to Every Part of Your Business

Matt Watson

Virtually every business depends on mission-critical software to run their business. Any slight application slowdown or outage can lead to legions of unhappy employees or customers. Application Performance Management (APM) solutions can help monitor for performance issues, but they can also be used to gain insights to proactively improve performance as well.

APM is not just a tool for IT Operations. APM has grown into an essential tool that can be utilized by many departments within your business.

IT Operations

When you think of APM, you normally think about IT operations using it for monitoring mission-critical applications. Instead of only monitoring servers and infrastructure, APM solutions can help better track performance at the application level. Including overall performance, key transactions, and much, much more.

Development Teams

APM solutions collect a lot of data. Including code level performance, overall application usage and performance, metrics, log messages, errors, real user monitoring, and more. All of this data can be very valuable for developers when it comes to researching bugs in production. It can also be used to identify parts of an application that can be optimized and validating those performance optimizations.

Developers can also use APM in QA to test and validate the performance of their code before it gets to production.

QA

Traditionally, APM is thought to be used mostly in production. However, APM can be extremely valuable as part of your QA process to find problems before they get to production. It could be used to look for any overall change in performance, new application errors found, load testing validation and more.

Database Administrators

Most APM solutions track the performance of SQL queries. This can be useful information for your DBAs to augment other tools they may also have. They could potentially use APM for various monitoring capabilities. For example, monitoring how often a specific SQL query is taking or how often it is being called.

Product Owners and Executives

The product owner ultimately cares a lot about the application, its functionality, usage, service availability and performance. APM gives product owners visibility into the performance of their application and potentially into metrics around how much it is being used. APM dashboards are popular with product owners and other executives in a company.

Customer Service

When a customer calls and says your application is slow, what do you do? After a quick login test to your app, your customer service member would likely tell the customer that everything seems to be working fine, and the problem is likely on their end.

The problem is a user could be accessing your application on a different server, database, or even in a different data center. If your customer service team has access to basic APM dashboards, they could leverage those to better understand if any application problems may exist or not with more certainty. They also wouldn’t have to bug the IT department every time a customer complains.

Sales and Marketing

Major application outages are always a big PR problem for marketing teams, but hopefully they can use it to instead rave about how fast your application is! They could also use it to gather insights into how parts of your application are being used. Just like your customer service team, your sales team is going to get flooded with calls if your site is down.

Conclusion

Application performance is important to your entire business. APM solutions collect an amazing out of data and usually provide very flexible reporting options. I would encourage you to think of ways to leverage the value of it anywhere that you can.

Matt Watson is Founder and CEO of Stackify.

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 ...