Skip to main content

10 Questions to Ask When Evaluating Network Performance Management Solutions - Part 1

Jay Botelho

Network performance is one of the most critical aspects of successful business operations. Effective network performance enables internal and external communication between various company locations, as well as clients and partners — imperative in today's dispersed workforce. When networks do not perform well and experience malfunctions and failures, companies face disruptions and loss of business continuity. Understanding how efficiently and effectively a network performs helps mitigate these issues, leading to increased productivity and profitability.

Successful insight into the performance of a company's networks starts with effective network performance management (NPM) tools. However, with the plethora of options it can be overwhelming for IT teams to choose the right one. Here are 10 essential questions to ask before selecting an NPM tool.

Question #1: Does the solution provide comprehensive End-to-end visibility?

With today's digital landscape, network management solutions must support a high-performance digital experience and deliver comprehensive, application-focused analysis, processing data from many locations, including routers, firewalls, and more. It also must be able to alert on network and application-performance issues anywhere in the network path, displaying these alerts as part of the end-to-end flow map which helps find the root cause of issues more quickly.

A modern NPM solution must provide correlated information from the entire network, including complex, hybrid environments.

Question #2: Does your solution provide visibility into SD-WAN?

As organizations become increasingly distributed, many look to SD-WAN for better communications and lower costs. This makes SD-WAN a critical element in your network infrastructure, and one which must be factored into your end-to-end network visibility.

SD-WAN has a direct impact on network routing, and therefore on network latencies, so it's essential to ensure that SD-WAN is delivering the expected benefits from a network, security, and cost perspective. The dynamic nature of SD-WAN puts additional pressure on network performance monitoring, so be sure the NPM solution can easily track and visualize any WAN routing changes.

Question #3: Is cloud monitoring supported?

"Cloud" can mean different things to different organizations, but whether it's corporate applications in a hosted private cloud, full-on public cloud, or SaaS applications, the NPM solution must be able to monitor and visualize it, end-to-end. This may require the use of additional modules, and sometimes even proprietary features of the cloud provider, so it's important to determine up front both if, and how, the NPM solution will provide the end-to-end visibility you need to eliminate the blind spots that are common once applications are moved to the Cloud.

Question #4: Does the solution provide comprehensive application monitoring and optimization?

Optimized application performance is critical to business efficiency, yet optimization is becoming more complex as core business functions are moved out of the data center and distributed across multiple service and application providers. Legacy NPM solutions often lack the visibility needed to even monitor, much less optimize, these highly distributed applications.

To address this complexity, a network performance monitoring solution should tackle these three essential functions: application visibility, network optimization, and application performance assessment. It must address application performance within the context of network infrastructure metrics, since the applications do nothing useful without the network. Application performance can only be optimized when built on a solid network foundation, and an effective NPM solution must provide visibility into both.

Question #5: Does the solution provide insights into voice and video applications?

Gone are the days when voice and video ran on their own, expensive networks. Voice and video are now just other applications running on the network, and given their real-time nature, they are some of the most demanding applications. Both voice and video are extremely sensitive to network latency and packet loss. Voice and video traffic is useless if it's delayed more than a few hundred milliseconds, so voice and video traffic must be tagged and given priority on the network for these applications to work effectively.

If voice or video traffic is degraded, the source of that degradation is often network latency, so it's imperative that the NPM solution be able to visualize the traffic end-to-end, and quickly identify specific network hops that are introducing latency. The solution must also be able to analyze and report on the priority tagging of voice and video packets, called QoS (Quality of Service), and identify areas where QoS is not properly configured. And as a bonus, the solution should be able to correct QoS configuration issues to quickly restore the quality of voice and video communications.

Go to: 10 Questions to Ask When Evaluating Network Performance Management Solutions - Part 2

Hot Topics

The Latest

Part 4 outlines the challenges enterprise face when adopting AI observability. The main challenge is that AI complexity compounds at every stage of maturity. LLM-based applications introduce new behavior, dependencies, and quality considerations, while Agentic AI adds further failure modes as systems make decisions and take actions ...

Part 3 reports on the current state of AI observability. Most experts agree: enterprises are moving faster with AI than they are with the operational discipline needed to run it safely ...

When discussing AI Observability, one of the first questions that arises: Is this just an extension of traditional observability or is this a whole new type of tool? Part 2 compares traditional observability with AI observability ...

In this extensive 14-part series that will post over the next three weeks, experts across observability and AI will provide insight and opinions on the need for AI Observability, the challenges, the benefits, the current state, and predictions for the future ...

Amid rising complexity, organizations are moving quickly toward agent-driven operations: AgenticOps, according to The Impact of Agentic AI on Network Operations, a new report from Cisco ...

AI, automation, and enterprise software give organizations an extraordinary amount of leverage. Work that once required hours can happen in minutes. Information buried across systems can be analyzed almost instantly. Complex workflows can be coordinated across teams with far less manual intervention. That leverage creates a temptation to start with the technology ...

Everyone wants to talk about models. Compute clusters. Benchmark scores that climb a fraction of a point and make headlines anyway. It's an easy conversation to have because it's measurable. But it's also increasingly beside the point ...

For more than a decade, the default infrastructure play has been simple. Move more workloads to the cloud, retire on-premises gear and treat the data center as a cost to shrink. That logic held while public cloud offered near-limitless capacity at predictable prices, and AI demand is now testing both halves of that assumption ...

Most enterprise IT leaders can tell you exactly how many applications are running across their organization. They can surface a dashboard showing telecom spend by region, pull a report on SaaS license utilization, or call up a real-time view of mobile device inventory. The data is there, and IT leaders have largely delivered on the promise of visibility. Yet, in most organizations, that visibility has not translated into business value ...

Government agencies are largely misjudging their level of AI governance as the technology permeates their organization, according to Racing to Deploy: How Public Sector AI Adoption is Moving Faster Than the Foundations Needed to Support It, a new report from SolarWinds ...

10 Questions to Ask When Evaluating Network Performance Management Solutions - Part 1

Jay Botelho

Network performance is one of the most critical aspects of successful business operations. Effective network performance enables internal and external communication between various company locations, as well as clients and partners — imperative in today's dispersed workforce. When networks do not perform well and experience malfunctions and failures, companies face disruptions and loss of business continuity. Understanding how efficiently and effectively a network performs helps mitigate these issues, leading to increased productivity and profitability.

Successful insight into the performance of a company's networks starts with effective network performance management (NPM) tools. However, with the plethora of options it can be overwhelming for IT teams to choose the right one. Here are 10 essential questions to ask before selecting an NPM tool.

Question #1: Does the solution provide comprehensive End-to-end visibility?

With today's digital landscape, network management solutions must support a high-performance digital experience and deliver comprehensive, application-focused analysis, processing data from many locations, including routers, firewalls, and more. It also must be able to alert on network and application-performance issues anywhere in the network path, displaying these alerts as part of the end-to-end flow map which helps find the root cause of issues more quickly.

A modern NPM solution must provide correlated information from the entire network, including complex, hybrid environments.

Question #2: Does your solution provide visibility into SD-WAN?

As organizations become increasingly distributed, many look to SD-WAN for better communications and lower costs. This makes SD-WAN a critical element in your network infrastructure, and one which must be factored into your end-to-end network visibility.

SD-WAN has a direct impact on network routing, and therefore on network latencies, so it's essential to ensure that SD-WAN is delivering the expected benefits from a network, security, and cost perspective. The dynamic nature of SD-WAN puts additional pressure on network performance monitoring, so be sure the NPM solution can easily track and visualize any WAN routing changes.

Question #3: Is cloud monitoring supported?

"Cloud" can mean different things to different organizations, but whether it's corporate applications in a hosted private cloud, full-on public cloud, or SaaS applications, the NPM solution must be able to monitor and visualize it, end-to-end. This may require the use of additional modules, and sometimes even proprietary features of the cloud provider, so it's important to determine up front both if, and how, the NPM solution will provide the end-to-end visibility you need to eliminate the blind spots that are common once applications are moved to the Cloud.

Question #4: Does the solution provide comprehensive application monitoring and optimization?

Optimized application performance is critical to business efficiency, yet optimization is becoming more complex as core business functions are moved out of the data center and distributed across multiple service and application providers. Legacy NPM solutions often lack the visibility needed to even monitor, much less optimize, these highly distributed applications.

To address this complexity, a network performance monitoring solution should tackle these three essential functions: application visibility, network optimization, and application performance assessment. It must address application performance within the context of network infrastructure metrics, since the applications do nothing useful without the network. Application performance can only be optimized when built on a solid network foundation, and an effective NPM solution must provide visibility into both.

Question #5: Does the solution provide insights into voice and video applications?

Gone are the days when voice and video ran on their own, expensive networks. Voice and video are now just other applications running on the network, and given their real-time nature, they are some of the most demanding applications. Both voice and video are extremely sensitive to network latency and packet loss. Voice and video traffic is useless if it's delayed more than a few hundred milliseconds, so voice and video traffic must be tagged and given priority on the network for these applications to work effectively.

If voice or video traffic is degraded, the source of that degradation is often network latency, so it's imperative that the NPM solution be able to visualize the traffic end-to-end, and quickly identify specific network hops that are introducing latency. The solution must also be able to analyze and report on the priority tagging of voice and video packets, called QoS (Quality of Service), and identify areas where QoS is not properly configured. And as a bonus, the solution should be able to correct QoS configuration issues to quickly restore the quality of voice and video communications.

Go to: 10 Questions to Ask When Evaluating Network Performance Management Solutions - Part 2

Hot Topics

The Latest

Part 4 outlines the challenges enterprise face when adopting AI observability. The main challenge is that AI complexity compounds at every stage of maturity. LLM-based applications introduce new behavior, dependencies, and quality considerations, while Agentic AI adds further failure modes as systems make decisions and take actions ...

Part 3 reports on the current state of AI observability. Most experts agree: enterprises are moving faster with AI than they are with the operational discipline needed to run it safely ...

When discussing AI Observability, one of the first questions that arises: Is this just an extension of traditional observability or is this a whole new type of tool? Part 2 compares traditional observability with AI observability ...

In this extensive 14-part series that will post over the next three weeks, experts across observability and AI will provide insight and opinions on the need for AI Observability, the challenges, the benefits, the current state, and predictions for the future ...

Amid rising complexity, organizations are moving quickly toward agent-driven operations: AgenticOps, according to The Impact of Agentic AI on Network Operations, a new report from Cisco ...

AI, automation, and enterprise software give organizations an extraordinary amount of leverage. Work that once required hours can happen in minutes. Information buried across systems can be analyzed almost instantly. Complex workflows can be coordinated across teams with far less manual intervention. That leverage creates a temptation to start with the technology ...

Everyone wants to talk about models. Compute clusters. Benchmark scores that climb a fraction of a point and make headlines anyway. It's an easy conversation to have because it's measurable. But it's also increasingly beside the point ...

For more than a decade, the default infrastructure play has been simple. Move more workloads to the cloud, retire on-premises gear and treat the data center as a cost to shrink. That logic held while public cloud offered near-limitless capacity at predictable prices, and AI demand is now testing both halves of that assumption ...

Most enterprise IT leaders can tell you exactly how many applications are running across their organization. They can surface a dashboard showing telecom spend by region, pull a report on SaaS license utilization, or call up a real-time view of mobile device inventory. The data is there, and IT leaders have largely delivered on the promise of visibility. Yet, in most organizations, that visibility has not translated into business value ...

Government agencies are largely misjudging their level of AI governance as the technology permeates their organization, according to Racing to Deploy: How Public Sector AI Adoption is Moving Faster Than the Foundations Needed to Support It, a new report from SolarWinds ...