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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

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...

The gap is widening between what teams spend on observability tools and the value they receive amid surging data volumes and budget pressures, according to The Breaking Point for Observability Leaders, a report from Imply ...

Seamless shopping is a basic demand of today's boundaryless consumer — one with little patience for friction, limited tolerance for disconnected experiences and minimal hesitation in switching brands. Customers expect intuitive, highly personalized experiences and the ability to move effortlessly across physical and digital channels within the same journey. Failure to deliver can cost dearly ...

If your best engineers spend their days sorting tickets and resetting access, you are wasting talent. New global data shows that employees in the IT sector rank among the least motivated across industries. They're under a lot of pressure from many angles. Pressure to upskill and uncertainty around what agentic AI means for job security is creating anxiety. Meanwhile, these roles often function like an on-call job and require many repetitive tasks ...