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Q&A Part Two: Fluke Networks Talks About AANPM

Pete Goldin
APMdigest

In APMdigest's exclusive interview, Doug Roberts, Director of Enterprise Products at Fluke Networks, discusses Application Aware Network Performance Management (AANPM), how it works and what benefits this solution delivers.

Start with Part One of this interview

APM: How does AANPM actually work? How is the network made aware of the app?

DR: AANPM works by starting first with an understanding of how well applications are traversing the network. That means monitoring the actual transactions end users are performing and measuring how quickly the network, server and application deliver the data to the end user. This application awareness comes from capturing the packets on the wire and monitoring their Quality of Experience (QoE) in real time.

The next level of visibility is to understand not just how quickly the transactions occur, but who the user was, and what they were trying to accomplish. This means performing Deep Packet Inspection, or DPI, to analyze what the application was, and what function the end user was performing when they experienced the issue.

This allows the IT team to start troubleshooting performance problems with an understanding of who the user is, what they were trying to do, and where the delay occurred (server, network or application). Response time data is then tied into workflows that leverage traditional NPM data to look at flow, rate, utilization, endpoint details or even raw packet captures along the path of the user or application.

APM: Who are the users of AANPM within the IT organization?

DR: Anyone with a stake in how applications are performing is a potential user of AANPM. For most organizations, the network team becomes the defacto starting point when slowdowns occur, but since AANPM provides metrics in terms of the applications that everyone supports, it’s easy for multiple teams to leverage the data. Typical users depending on organization structure include: network teams (WAN, Wireless), server teams, application owners, DevOps, monitoring/operations teams.

APM: What are the key benefits of AANPM?

DR: AANPM offers several benefits to IT teams, including the ability to: quickly isolate performance problems to avoid war room troubleshooting and finger pointing; reduce MTTR through streamlined troubleshooting across multiple data sources; reduce IT spend through intelligent capacity planning.

Understanding how quickly the network, server and application are responding to user requests allows IT to immediately identify the problem domain and start troubleshooting the root of the issue. This avoids the classic “war room” scenario so common within the industry.

Additionally, by providing supplemental data sources such as SNMP, flow, packet analysis, path analysis and synthetic testing in structured logical workflows, IT can quickly able to isolate root cause. This leads to reduced mean time to repair (MTTR).

Leveraging AANPM data also allows for more intelligent decision-making on the part of IT engineers, managers and directors. With AANPM, they can quickly identify not just where the highest utilization is, but also what comprises that utilization and what the quality of experience at the other end of that link may be.

Additionally, once upgrades or IT projects are deployed, AANPM allows IT to verify that performance has stayed within the baseline or has improved in an expected manner. Did adding more memory really speed up that server? Is traffic from that new application affecting our existing critical applications? Without AANPM, these are “gut feel” judgments.

APM: What does Fluke Networks mean by "end-to-end AANPM"?

DR: Our definition goes a little further than most. The “last mile of visibility” relates to the remote, branch office or individual user (VPN). The Fluke Networks AANPM solution provides an understanding of response time and performance all the way to an end user and his or her specific device, with full visibility into network health along the entire path taken by the end user.

APM: How is Fluke Networks AANPM differentiated in the market?

DR: TruView delivers five capabilities in one single appliance and a single user interface: Response time, traffic analysis, device performance, VoIP QoE and retrospective packet analysis.

And we provide this in an appliance, which is:

■ Simple: racked to reporting in under 15 minutes; auto-discovery and configuration; intuitive web interface.

■ Intelligent: self-learning baselines; time-correlated views; guided workflows.

■ Complete: monitoring and troubleshooting; network and application; packets, flows, SNMP, active test.

ABOUT Doug Roberts

Doug Roberts is the Director of Enterprise Products for Fluke Networks, and has been with the company since its founding. He has worked as an IT professional for over 18 years in various technical lead, business development, and product innovation roles. Currently Roberts leads the product strategy team and has been instrumental in developing the next generation of network and application performance products for Fluke Networks. Roberts is active in the IETF, IEEE PCS, and the APM Forum, with 9 patents (issued & pending) in the areas of response time measurement, big data storage and retrieval, and application efficiency measurement logic. He has provided his subject matter expertise in network troubleshooting, application performance monitoring, and transaction analysis to most major Service Providers in the world, along with thousands of private enterprise owners through guest speaking events that include Interop, Cisco Live, and TechNet. Roberts holds degrees in Engineering, Business, and Statistics from The Georgia Institute of Technology and Mercer University. In addition to his formal education he also holds a myriad of both technical and industry certifications. Prior to joining Fluke Networks, Roberts worked for Sniffer University.

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Q&A Part Two: Fluke Networks Talks About AANPM

Pete Goldin
APMdigest

In APMdigest's exclusive interview, Doug Roberts, Director of Enterprise Products at Fluke Networks, discusses Application Aware Network Performance Management (AANPM), how it works and what benefits this solution delivers.

Start with Part One of this interview

APM: How does AANPM actually work? How is the network made aware of the app?

DR: AANPM works by starting first with an understanding of how well applications are traversing the network. That means monitoring the actual transactions end users are performing and measuring how quickly the network, server and application deliver the data to the end user. This application awareness comes from capturing the packets on the wire and monitoring their Quality of Experience (QoE) in real time.

The next level of visibility is to understand not just how quickly the transactions occur, but who the user was, and what they were trying to accomplish. This means performing Deep Packet Inspection, or DPI, to analyze what the application was, and what function the end user was performing when they experienced the issue.

This allows the IT team to start troubleshooting performance problems with an understanding of who the user is, what they were trying to do, and where the delay occurred (server, network or application). Response time data is then tied into workflows that leverage traditional NPM data to look at flow, rate, utilization, endpoint details or even raw packet captures along the path of the user or application.

APM: Who are the users of AANPM within the IT organization?

DR: Anyone with a stake in how applications are performing is a potential user of AANPM. For most organizations, the network team becomes the defacto starting point when slowdowns occur, but since AANPM provides metrics in terms of the applications that everyone supports, it’s easy for multiple teams to leverage the data. Typical users depending on organization structure include: network teams (WAN, Wireless), server teams, application owners, DevOps, monitoring/operations teams.

APM: What are the key benefits of AANPM?

DR: AANPM offers several benefits to IT teams, including the ability to: quickly isolate performance problems to avoid war room troubleshooting and finger pointing; reduce MTTR through streamlined troubleshooting across multiple data sources; reduce IT spend through intelligent capacity planning.

Understanding how quickly the network, server and application are responding to user requests allows IT to immediately identify the problem domain and start troubleshooting the root of the issue. This avoids the classic “war room” scenario so common within the industry.

Additionally, by providing supplemental data sources such as SNMP, flow, packet analysis, path analysis and synthetic testing in structured logical workflows, IT can quickly able to isolate root cause. This leads to reduced mean time to repair (MTTR).

Leveraging AANPM data also allows for more intelligent decision-making on the part of IT engineers, managers and directors. With AANPM, they can quickly identify not just where the highest utilization is, but also what comprises that utilization and what the quality of experience at the other end of that link may be.

Additionally, once upgrades or IT projects are deployed, AANPM allows IT to verify that performance has stayed within the baseline or has improved in an expected manner. Did adding more memory really speed up that server? Is traffic from that new application affecting our existing critical applications? Without AANPM, these are “gut feel” judgments.

APM: What does Fluke Networks mean by "end-to-end AANPM"?

DR: Our definition goes a little further than most. The “last mile of visibility” relates to the remote, branch office or individual user (VPN). The Fluke Networks AANPM solution provides an understanding of response time and performance all the way to an end user and his or her specific device, with full visibility into network health along the entire path taken by the end user.

APM: How is Fluke Networks AANPM differentiated in the market?

DR: TruView delivers five capabilities in one single appliance and a single user interface: Response time, traffic analysis, device performance, VoIP QoE and retrospective packet analysis.

And we provide this in an appliance, which is:

■ Simple: racked to reporting in under 15 minutes; auto-discovery and configuration; intuitive web interface.

■ Intelligent: self-learning baselines; time-correlated views; guided workflows.

■ Complete: monitoring and troubleshooting; network and application; packets, flows, SNMP, active test.

ABOUT Doug Roberts

Doug Roberts is the Director of Enterprise Products for Fluke Networks, and has been with the company since its founding. He has worked as an IT professional for over 18 years in various technical lead, business development, and product innovation roles. Currently Roberts leads the product strategy team and has been instrumental in developing the next generation of network and application performance products for Fluke Networks. Roberts is active in the IETF, IEEE PCS, and the APM Forum, with 9 patents (issued & pending) in the areas of response time measurement, big data storage and retrieval, and application efficiency measurement logic. He has provided his subject matter expertise in network troubleshooting, application performance monitoring, and transaction analysis to most major Service Providers in the world, along with thousands of private enterprise owners through guest speaking events that include Interop, Cisco Live, and TechNet. Roberts holds degrees in Engineering, Business, and Statistics from The Georgia Institute of Technology and Mercer University. In addition to his formal education he also holds a myriad of both technical and industry certifications. Prior to joining Fluke Networks, Roberts worked for Sniffer University.

Hot Topic
The Latest
The Latest 10

The Latest

AI is becoming the operating system of the enterprise. It acts as an invisible coordination layer that understands intent, connects systems, and executes work across complex SaaS environments. Previously, employees had to click through multiple systems — CRM, ERP, support tools, collaboration platforms — to complete a single task. Now, instead of navigating each application manually, they can simply state what they need to accomplish ...

In 2026, the cost of downtime or an outage is no longer just a technical inconvenience; it's a $600 billion wake up call for global businesses. As our digital ecosystems become  more interconnected, each touchpoint introduces new risks and multiplies the consequences when things go wrong. And the data is clear: aggregate downtime costs  for Global 2,000 companies have surged 50% since 2024, reaching a staggering $600 billion ...

Deloitte found that 74% of enterprises expect to deploy agentic AI solutions in the next 24 months. However, the rush to deployment is outpacing foundational work, though. Only 21% of enterprises have fully formed agent governance models in place. The result? AI agents deployed without guidance or governance begin to function as fragmented islands of complexity ...

Cloud spending is no longer viewed as a passthrough IT expense, but as a strategic financial lever that directly impacts innovation capacity, profitability and enterprise resilience, according to the CFO Cloud Cost Optimization Report from Azul ...

As AI moves from generating responses to performing actions, the need for trust increases exponentially. And as organizations enlist AI agents for increasingly sophisticated business processes, trust is going to be the single most important theme for spurring adoption. What can organizations do to build trustworthy AI agents? ...

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 ...