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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

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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

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

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.