Skip to main content

6 Reasons Every NetOps Team Should Use a Packet-Based Analytics Solution - Part 2

Jay Botelho

A new breed of solution has been born that simultaneously provides the precision of packet-based analytics with the speed of flow-based monitoring (at a reasonable cost). Here are 3 more reasons to use these new NPM/APM analytics solutions.

Start with 6 Reasons Every NetOps Team Should Use a Packet-Based Analytics Solution - Part 1

4. Reduce tool sprawl

Teams are sick of adding more and more tools. The new NPM/APM solutions consolidate key functionality and offer flexible new dashboards that allow teams to monitor the information that matters most to their organization and team. For example, monitor key applications like Office365, WebEx and Salesforce in a single dashboard that includes application performance, network performance, transaction quality and VoIP quality; metrics that in the past required several solutions from several vendors to achieve the same level of visibility.

5. Get an integrated packet view

It's not enough to just be notified of abnormalities and problems. When these happen, you need immediate access to the packets that matter so you can troubleshoot and remediate. Also, NetOps needs information on the worst-performing parts of their network. Many products only calculate and display averages of network metrics like latency, utilization and VoIP quality, which can obscure problems that only affect a small number of flows. For example, a typical network will have thousands if not tens of thousands of HTTP flows at any given moment. If only a few exhibit poor network latency, and the dashboard shows the average network latency for all HTTP (which many dashboards do), the few flows that exhibit poor network latency will be masked by the good performance of all of the other flows. This example illustrates the absolute need to be able to pick the worst flows, out of millions, at any given moment to make sure critical issues are not overlooked.

6. Monitor SaaS SLAs

Whether you're offering a service or using one, being able to validate the agreement is critical, especially if problems arise. Packet data doesn't lie, which means if you have that information, you have what's needed to ensure SLAs are being delivered. Using today's modern dashboards, you can set your SLA thresholds for network latency, application latency, transaction quality and VoIP quality, and let the software constantly monitor millions of flows and let you know when even a single flow exceeds your SLAs.

As mentioned above, there's real cost associated with any kind of operational downtime, so avoiding or at least minimizing these issues is a NetOps priority. Therefore, it's critical to maintain a high-quality end-user experience for employees and customers. The powerful new analytics tools available today allow IT teams to anticipate network and application performance problems and react in real time. Rather than waiting for complaints, it's now possible to monitor every aspect of network traffic and performance at an incredibly granular level, making network problems much more visible even as the speed and volume of network traffic rises dramatically. The vision of network continuity all day, every day, across the entire network, is finally here.

Hot Topics

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 ...

6 Reasons Every NetOps Team Should Use a Packet-Based Analytics Solution - Part 2

Jay Botelho

A new breed of solution has been born that simultaneously provides the precision of packet-based analytics with the speed of flow-based monitoring (at a reasonable cost). Here are 3 more reasons to use these new NPM/APM analytics solutions.

Start with 6 Reasons Every NetOps Team Should Use a Packet-Based Analytics Solution - Part 1

4. Reduce tool sprawl

Teams are sick of adding more and more tools. The new NPM/APM solutions consolidate key functionality and offer flexible new dashboards that allow teams to monitor the information that matters most to their organization and team. For example, monitor key applications like Office365, WebEx and Salesforce in a single dashboard that includes application performance, network performance, transaction quality and VoIP quality; metrics that in the past required several solutions from several vendors to achieve the same level of visibility.

5. Get an integrated packet view

It's not enough to just be notified of abnormalities and problems. When these happen, you need immediate access to the packets that matter so you can troubleshoot and remediate. Also, NetOps needs information on the worst-performing parts of their network. Many products only calculate and display averages of network metrics like latency, utilization and VoIP quality, which can obscure problems that only affect a small number of flows. For example, a typical network will have thousands if not tens of thousands of HTTP flows at any given moment. If only a few exhibit poor network latency, and the dashboard shows the average network latency for all HTTP (which many dashboards do), the few flows that exhibit poor network latency will be masked by the good performance of all of the other flows. This example illustrates the absolute need to be able to pick the worst flows, out of millions, at any given moment to make sure critical issues are not overlooked.

6. Monitor SaaS SLAs

Whether you're offering a service or using one, being able to validate the agreement is critical, especially if problems arise. Packet data doesn't lie, which means if you have that information, you have what's needed to ensure SLAs are being delivered. Using today's modern dashboards, you can set your SLA thresholds for network latency, application latency, transaction quality and VoIP quality, and let the software constantly monitor millions of flows and let you know when even a single flow exceeds your SLAs.

As mentioned above, there's real cost associated with any kind of operational downtime, so avoiding or at least minimizing these issues is a NetOps priority. Therefore, it's critical to maintain a high-quality end-user experience for employees and customers. The powerful new analytics tools available today allow IT teams to anticipate network and application performance problems and react in real time. Rather than waiting for complaints, it's now possible to monitor every aspect of network traffic and performance at an incredibly granular level, making network problems much more visible even as the speed and volume of network traffic rises dramatically. The vision of network continuity all day, every day, across the entire network, is finally here.

Hot Topics

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 ...