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SolarWinds Enhances Network Performance Monitor with Wireless Heat Mapping and Capacity Forecasting

SolarWinds announced enhancements to its flagship Network Performance Monitor (NPM) to improve business mobility and uptime.

With new wireless heat mapping, IT Pros can maintain automatic, real-time maps of wireless network signal strength to enhance continuous wireless coverage throughout an environment and accelerate troubleshooting. With new capacity forecasting, IT Pros can also automatically keep tabs on critical network resources to help predict future needs and prevent outages.

“When it comes to network monitoring, SolarWinds has always advocated that IT Pros take the back-to-basics approach. We know visibility into the health and performance of a network is essential to any organization,” said Chris LaPoint, VP Product Management, SolarWinds. “However, as BYOD and increasingly mobile workforces evolve networks in new and complex ways, the ‘basics’ are changing, so it’s critical that IT Pros have a single, dependable solution to automate tedious – yet essential – network monitoring tasks. SolarWinds NPM ensures that the fundamentals of network monitoring are not overlooked.”

Automate wireless network mapping to enhance wireless coverage: With SolarWinds NPM’s NEW wireless network heat maps, IT Pros can automatically map their wireless networks to show signal strength according to their floor plans – whether in small doctor’s offices or a 40,000-sq. ft. campus – with a visual display of critical status and performance metrics. With these maps, IT can now:

- Troubleshoot client connectivity issues, keeping mobile end-users working with minimal disruption to their productivity

- Generate user-sourced wireless signal strength surveys for coverage in all network locations, including remote sites

- Prioritize wireless signal strength where it is most needed and proactively make adjustments such as adding wireless access points, modifying the environment, etc.

- Use client location tracking to find any wireless-connected device within the network, helping IT keep track of end-users and rogue or misplaced devices

Automate capacity planning to prevent network outages: With NEW capacity forecasting, IT Pros can automate planning for network needs (bandwidth, WAN circuits, etc.) to help prevent poor performance and sudden network outages. IT can now:

- Use historical data from SolarWinds NPM on CPU, memory, volumes, connected wireless clients, node, and interface traffic utilization to provide automated assessments of average and peak use

- Answer the question, "How many days before I run out of disk space/CPU/bandwidth, etc. and it impacts a user’s network connectivity?" and set customizable alerts to proactively secure the necessary network resources to get ahead of those situations

SolarWinds NPM provides a comprehensive view of network fault, performance, availability, traffic, and latency, empowering IT Pros to more effectively identify, prioritize and resolve network issues before they impact application performance, end-users and businesses. Other automatic network performance monitoring features include deep packet inspection (DPI) for assessment of network latency’s impact on application performance with automated application identification, and automated mapping and alerting of device dependencies for improved root-cause analysis.

The new version of SolarWinds Network Performance Monitor will be available within the first quarter 2015.

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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 ...

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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 ...

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SolarWinds Enhances Network Performance Monitor with Wireless Heat Mapping and Capacity Forecasting

SolarWinds announced enhancements to its flagship Network Performance Monitor (NPM) to improve business mobility and uptime.

With new wireless heat mapping, IT Pros can maintain automatic, real-time maps of wireless network signal strength to enhance continuous wireless coverage throughout an environment and accelerate troubleshooting. With new capacity forecasting, IT Pros can also automatically keep tabs on critical network resources to help predict future needs and prevent outages.

“When it comes to network monitoring, SolarWinds has always advocated that IT Pros take the back-to-basics approach. We know visibility into the health and performance of a network is essential to any organization,” said Chris LaPoint, VP Product Management, SolarWinds. “However, as BYOD and increasingly mobile workforces evolve networks in new and complex ways, the ‘basics’ are changing, so it’s critical that IT Pros have a single, dependable solution to automate tedious – yet essential – network monitoring tasks. SolarWinds NPM ensures that the fundamentals of network monitoring are not overlooked.”

Automate wireless network mapping to enhance wireless coverage: With SolarWinds NPM’s NEW wireless network heat maps, IT Pros can automatically map their wireless networks to show signal strength according to their floor plans – whether in small doctor’s offices or a 40,000-sq. ft. campus – with a visual display of critical status and performance metrics. With these maps, IT can now:

- Troubleshoot client connectivity issues, keeping mobile end-users working with minimal disruption to their productivity

- Generate user-sourced wireless signal strength surveys for coverage in all network locations, including remote sites

- Prioritize wireless signal strength where it is most needed and proactively make adjustments such as adding wireless access points, modifying the environment, etc.

- Use client location tracking to find any wireless-connected device within the network, helping IT keep track of end-users and rogue or misplaced devices

Automate capacity planning to prevent network outages: With NEW capacity forecasting, IT Pros can automate planning for network needs (bandwidth, WAN circuits, etc.) to help prevent poor performance and sudden network outages. IT can now:

- Use historical data from SolarWinds NPM on CPU, memory, volumes, connected wireless clients, node, and interface traffic utilization to provide automated assessments of average and peak use

- Answer the question, "How many days before I run out of disk space/CPU/bandwidth, etc. and it impacts a user’s network connectivity?" and set customizable alerts to proactively secure the necessary network resources to get ahead of those situations

SolarWinds NPM provides a comprehensive view of network fault, performance, availability, traffic, and latency, empowering IT Pros to more effectively identify, prioritize and resolve network issues before they impact application performance, end-users and businesses. Other automatic network performance monitoring features include deep packet inspection (DPI) for assessment of network latency’s impact on application performance with automated application identification, and automated mapping and alerting of device dependencies for improved root-cause analysis.

The new version of SolarWinds Network Performance Monitor will be available within the first quarter 2015.

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.