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How to Boost Network Monitoring Tool Efficiency

Alastair Hartrup

Having the right tools and good visibility are critical to understanding what's going on in your network and applications. However, as networks become more complex and hybrid in nature, organizations can no longer afford to be reactive and rely only on portable diagnostic tools. They need real-time, comprehensive visibility.

To accomplish this, more and more organizations are deploying network monitoring platforms and solutions that utilize TAPs (Terminal Access Points) and Packet Brokers to permanently establish network links and gather critical performance data. These technologies provide maximum utilization of connected tools for IT teams looking for comprehensive monitoring and management in, for example, a Network Performance Monitoring and Diagnostics (NPMD) platform.

Why are TAPs so important? Network TAPs are stand-alone devices that make a mirror copy of all of the traffic that flows between two network end-points (or nodes). This can then be output to various network tools, while the live traffic continues to pass through the network. Because they are independent of the network, they're fully configurable. This allows complex packet manipulation to be performed by network performance (or security) solutions.

Packet Brokers take the technology a step further and allow for the combination, integration, separation, manipulation and processing of inputs from many sources (including TAPs), and then deliver that data to a wide variety of appliance, platform and tool destinations. 

Both play a major role in providing the data necessary for real-time, comprehensive network visibility.

Monitoring tools such as sniffers, probes and NPMD solutions can be permanently and safely installed on all network links using TAPs. They connect in-line on a network link, making a mirror copy of all network traffic and then forward that information directly to a monitoring tool (or Packet Broker). TAPs are also extremely safe – if power is lost, the network traffic will continue to flow. For more complex networks with a variety of connected tools, Packet Brokers are used with TAPs.

What are some of the key features that organizations should look for when deploying TAPs and Packet Brokers? Here are three key features to consider:

1. Flexible Port Mapping

Flexible port mapping allows the user to choose which ports the packets will travel through with no preset requirements. Packets may come in from the network, go back out to the network and also be directed to a connected monitoring tool. Some TAPs require certain ports be used for network traffic and others to be used to support monitoring tools. Flexible Port Mapping allows any port to be utilized for any type of traffic. This eliminates the need to buy a bigger system than necessary just because one type of port is maxed out, while other ports are open and unused. It also makes it simpler to add links and tools when any open port can be utilized for a tool or network access at any time. Not all TAPs and Packet Brokers offer this "scale out" flexibility.

2. Easy Aggregation

Aggregation is the combining of traffic from multiple links and sending that traffic to one specific tool. Often, links are underutilized. A 10 Gbps link, for example, may actually be carrying only 4 Gbps of actual traffic.

Understanding the actual traffic on links and aggregating underutilized links to a single TAP or Packet Broker port can provide dramatic savings on monitoring tools. Doing the math, aggregating five links running at 2 Gbps to a single 10 Gbps output port connected to one monitoring tool can reduce the tool budget by a factor of five.

Imagine the savings opportunity in a large complex network. Using this strategy on hundreds of links, organizations can save hundreds of thousands of dollars.

3. Independent Filtering

Independent filtering eliminates traffic that is not relevant to the mission of the connected monitoring tool. It helps tools run faster, more efficiently and allows them to monitor more links.

Hierarchical filtering is the traditional way that filtering is designed. This can be very complicated and prone to network affecting errors. If packets are filtered out at the top of the list, they cannot be re-introduced later.

Independent fast filtering allows filter maps to be created quickly without consequence to other filters further down the list. Independent filtering is faster and more accurate than hierarchical filtering. Look for TAPs or Packet Brokers that allow you to created multiple filters quickly on any stream with no need to distinguish between ingress and egress ports (and be sure you can create filter criteria with ranges and individual criteria).

When independent filtering is combined with aggregation, packets are filtered out of streams, allowing a higher aggregation ratio of links being sent to a monitoring tool. This means that independent filtering not only helps save OPEX by allowing faster, more accurate tool deployment, it also saves CAPEX by enhancing the link to tool aggregation ratio.

When looking to deploy or optimize your network monitoring solutions, consider the impact of strategically deploying network TAPs and Packet Brokers. Be sure you're using the aforementioned features, as they can offer significant tool cost savings and allow for a more efficient network monitoring solution.

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How to Boost Network Monitoring Tool Efficiency

Alastair Hartrup

Having the right tools and good visibility are critical to understanding what's going on in your network and applications. However, as networks become more complex and hybrid in nature, organizations can no longer afford to be reactive and rely only on portable diagnostic tools. They need real-time, comprehensive visibility.

To accomplish this, more and more organizations are deploying network monitoring platforms and solutions that utilize TAPs (Terminal Access Points) and Packet Brokers to permanently establish network links and gather critical performance data. These technologies provide maximum utilization of connected tools for IT teams looking for comprehensive monitoring and management in, for example, a Network Performance Monitoring and Diagnostics (NPMD) platform.

Why are TAPs so important? Network TAPs are stand-alone devices that make a mirror copy of all of the traffic that flows between two network end-points (or nodes). This can then be output to various network tools, while the live traffic continues to pass through the network. Because they are independent of the network, they're fully configurable. This allows complex packet manipulation to be performed by network performance (or security) solutions.

Packet Brokers take the technology a step further and allow for the combination, integration, separation, manipulation and processing of inputs from many sources (including TAPs), and then deliver that data to a wide variety of appliance, platform and tool destinations. 

Both play a major role in providing the data necessary for real-time, comprehensive network visibility.

Monitoring tools such as sniffers, probes and NPMD solutions can be permanently and safely installed on all network links using TAPs. They connect in-line on a network link, making a mirror copy of all network traffic and then forward that information directly to a monitoring tool (or Packet Broker). TAPs are also extremely safe – if power is lost, the network traffic will continue to flow. For more complex networks with a variety of connected tools, Packet Brokers are used with TAPs.

What are some of the key features that organizations should look for when deploying TAPs and Packet Brokers? Here are three key features to consider:

1. Flexible Port Mapping

Flexible port mapping allows the user to choose which ports the packets will travel through with no preset requirements. Packets may come in from the network, go back out to the network and also be directed to a connected monitoring tool. Some TAPs require certain ports be used for network traffic and others to be used to support monitoring tools. Flexible Port Mapping allows any port to be utilized for any type of traffic. This eliminates the need to buy a bigger system than necessary just because one type of port is maxed out, while other ports are open and unused. It also makes it simpler to add links and tools when any open port can be utilized for a tool or network access at any time. Not all TAPs and Packet Brokers offer this "scale out" flexibility.

2. Easy Aggregation

Aggregation is the combining of traffic from multiple links and sending that traffic to one specific tool. Often, links are underutilized. A 10 Gbps link, for example, may actually be carrying only 4 Gbps of actual traffic.

Understanding the actual traffic on links and aggregating underutilized links to a single TAP or Packet Broker port can provide dramatic savings on monitoring tools. Doing the math, aggregating five links running at 2 Gbps to a single 10 Gbps output port connected to one monitoring tool can reduce the tool budget by a factor of five.

Imagine the savings opportunity in a large complex network. Using this strategy on hundreds of links, organizations can save hundreds of thousands of dollars.

3. Independent Filtering

Independent filtering eliminates traffic that is not relevant to the mission of the connected monitoring tool. It helps tools run faster, more efficiently and allows them to monitor more links.

Hierarchical filtering is the traditional way that filtering is designed. This can be very complicated and prone to network affecting errors. If packets are filtered out at the top of the list, they cannot be re-introduced later.

Independent fast filtering allows filter maps to be created quickly without consequence to other filters further down the list. Independent filtering is faster and more accurate than hierarchical filtering. Look for TAPs or Packet Brokers that allow you to created multiple filters quickly on any stream with no need to distinguish between ingress and egress ports (and be sure you can create filter criteria with ranges and individual criteria).

When independent filtering is combined with aggregation, packets are filtered out of streams, allowing a higher aggregation ratio of links being sent to a monitoring tool. This means that independent filtering not only helps save OPEX by allowing faster, more accurate tool deployment, it also saves CAPEX by enhancing the link to tool aggregation ratio.

When looking to deploy or optimize your network monitoring solutions, consider the impact of strategically deploying network TAPs and Packet Brokers. Be sure you're using the aforementioned features, as they can offer significant tool cost savings and allow for a more efficient network monitoring solution.

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 ...

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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 ...