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AANPM: When the NMS is Not Enough

Application Aware Network Performance Management Offers A new approach to network monitoring
Bruce Kosbab

Organizations are becoming increasingly dependent on the performance of their critical business applications. These are continually developing to meet the changing needs of the business; new applications are created, new users and features added and new ways of accessing the applications introduced, such as BYOD.

However, no technology changes come without a price, and today’s complex applications put an increasing strain on the organization’s network and server infrastructure. Furthermore, user expectations of rapid response times mean that the network infrastructure is no longer just the "plumbing". It supports business-critical applications, provides the data on which decisions are made and facilitates communications with customers, partners, suppliers and co-workers, making it a strategic asset to the business. Any downtime or degradation in network or application performance will directly impact an organization’s bottom line.

Historically the network has been considered as a separate, well-defined entity, making it relatively straightforward to write tools to understand and analyze its performance. These fall into two categories: Network Management Systems (NMS) and packet capture and analysis tools.

Most NMS have been infrastructure focused, addressing device monitoring, capacity planning, configuration management, fault management, analysis of interface traffic etc. and ignoring the applications and data traversing the network. They do not perform analytics on application response time, TCP errors and other issues that impact applications.

Application Performance Management (APM) systems typically support auto-discovery of all the applications in the network, providing transaction analysis, application usage analysis, end-user experience analysis, user-defined transaction profiling and the basic functions to monitor the health and performance of all configured application infrastructure assets. However, if an application is running slowly they find it difficult to identify if the problem is application or network based.

Whereas separate systems were once sufficient to stay on top of problems, the increased interdependency of network and applications and cost of downtime means it is no longer enough to use a discrete tool and say "it’s not the network" or "my servers are fine". These tools are not designed to manage the interplay between network and applications environments, which needs to be understood and managed to optimize the user experience.

IT teams need to work together using correlated data to find the root cause and solve issues quickly before they impact the business.

Leveraging Application and Network Performance Methodologies

They require complete visibility of the network across all layers, from the data center to the branch office. The solution is AANPM: Application Aware Network Performance Management. AANPM is a method of monitoring, analyzing and troubleshooting both networks and applications. It takes an application-centric view of everything happening across the network, providing end-to-end visibility of the network and applications and their interdependencies, and enabling engineers to monitor and optimize the end user experience. It does not look at applications from a coding perspective, but in terms of how they are deployed and how they are performing.

By leveraging data points from both application and network performance methodologies, AANPM helps all branches of IT work together to ensure optimal performance of applications and network.

AANPM offers specific, tangible business benefits:

• End-to-end infrastructure visibility

• Faster problem-solving

• Improved user experience

• Enhanced productivity

• Cost savings

• Improved infrastructure optimization

• Better business understanding of IT

Bruce Kosbab is CTO of Fluke Networks.

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AANPM: When the NMS is Not Enough

Application Aware Network Performance Management Offers A new approach to network monitoring
Bruce Kosbab

Organizations are becoming increasingly dependent on the performance of their critical business applications. These are continually developing to meet the changing needs of the business; new applications are created, new users and features added and new ways of accessing the applications introduced, such as BYOD.

However, no technology changes come without a price, and today’s complex applications put an increasing strain on the organization’s network and server infrastructure. Furthermore, user expectations of rapid response times mean that the network infrastructure is no longer just the "plumbing". It supports business-critical applications, provides the data on which decisions are made and facilitates communications with customers, partners, suppliers and co-workers, making it a strategic asset to the business. Any downtime or degradation in network or application performance will directly impact an organization’s bottom line.

Historically the network has been considered as a separate, well-defined entity, making it relatively straightforward to write tools to understand and analyze its performance. These fall into two categories: Network Management Systems (NMS) and packet capture and analysis tools.

Most NMS have been infrastructure focused, addressing device monitoring, capacity planning, configuration management, fault management, analysis of interface traffic etc. and ignoring the applications and data traversing the network. They do not perform analytics on application response time, TCP errors and other issues that impact applications.

Application Performance Management (APM) systems typically support auto-discovery of all the applications in the network, providing transaction analysis, application usage analysis, end-user experience analysis, user-defined transaction profiling and the basic functions to monitor the health and performance of all configured application infrastructure assets. However, if an application is running slowly they find it difficult to identify if the problem is application or network based.

Whereas separate systems were once sufficient to stay on top of problems, the increased interdependency of network and applications and cost of downtime means it is no longer enough to use a discrete tool and say "it’s not the network" or "my servers are fine". These tools are not designed to manage the interplay between network and applications environments, which needs to be understood and managed to optimize the user experience.

IT teams need to work together using correlated data to find the root cause and solve issues quickly before they impact the business.

Leveraging Application and Network Performance Methodologies

They require complete visibility of the network across all layers, from the data center to the branch office. The solution is AANPM: Application Aware Network Performance Management. AANPM is a method of monitoring, analyzing and troubleshooting both networks and applications. It takes an application-centric view of everything happening across the network, providing end-to-end visibility of the network and applications and their interdependencies, and enabling engineers to monitor and optimize the end user experience. It does not look at applications from a coding perspective, but in terms of how they are deployed and how they are performing.

By leveraging data points from both application and network performance methodologies, AANPM helps all branches of IT work together to ensure optimal performance of applications and network.

AANPM offers specific, tangible business benefits:

• End-to-end infrastructure visibility

• Faster problem-solving

• Improved user experience

• Enhanced productivity

• Cost savings

• Improved infrastructure optimization

• Better business understanding of IT

Bruce Kosbab is CTO of Fluke Networks.

Hot Topics

The Latest

According to Auvik's 2025 IT Trends Report, 60% of IT professionals feel at least moderately burned out on the job, with 43% stating that their workload is contributing to work stress. At the same time, many IT professionals are naming AI and machine learning as key areas they'd most like to upskill ...

Businesses that face downtime or outages risk financial and reputational damage, as well as reducing partner, shareholder, and customer trust. One of the major challenges that enterprises face is implementing a robust business continuity plan. What's the solution? The answer may lie in disaster recovery tactics such as truly immutable storage and regular disaster recovery testing ...

IT spending is expected to jump nearly 10% in 2025, and organizations are now facing pressure to manage costs without slowing down critical functions like observability. To meet the challenge, leaders are turning to smarter, more cost effective business strategies. Enter stage right: OpenTelemetry, the missing piece of the puzzle that is no longer just an option but rather a strategic advantage ...

Amidst the threat of cyberhacks and data breaches, companies install several security measures to keep their business safely afloat. These measures aim to protect businesses, employees, and crucial data. Yet, employees perceive them as burdensome. Frustrated with complex logins, slow access, and constant security checks, workers decide to completely bypass all security set-ups ...

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In MEAN TIME TO INSIGHT Episode 13, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud networking strategy ... 

In high-traffic environments, the sheer volume and unpredictable nature of network incidents can quickly overwhelm even the most skilled teams, hindering their ability to react swiftly and effectively, potentially impacting service availability and overall business performance. This is where closed-loop remediation comes into the picture: an IT management concept designed to address the escalating complexity of modern networks ...

In 2025, enterprise workflows are undergoing a seismic shift. Propelled by breakthroughs in generative AI (GenAI), large language models (LLMs), and natural language processing (NLP), a new paradigm is emerging — agentic AI. This technology is not just automating tasks; it's reimagining how organizations make decisions, engage customers, and operate at scale ...

In the early days of the cloud revolution, business leaders perceived cloud services as a means of sidelining IT organizations. IT was too slow, too expensive, or incapable of supporting new technologies. With a team of developers, line of business managers could deploy new applications and services in the cloud. IT has been fighting to retake control ever since. Today, IT is back in the driver's seat, according to new research by Enterprise Management Associates (EMA) ...

In today's fast-paced and increasingly complex network environments, Network Operations Centers (NOCs) are the backbone of ensuring continuous uptime, smooth service delivery, and rapid issue resolution. However, the challenges faced by NOC teams are only growing. In a recent study, 78% state network complexity has grown significantly over the last few years while 84% regularly learn about network issues from users. It is imperative we adopt a new approach to managing today's network experiences ...

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