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OpsRamp Introduces Netflow Monitoring and UC Monitoring

OpsRamp is rolling out two new solutions: OpsRamp NetFlow monitoring, which delivers deep analysis of network traffic, and OpsRamp Unified Communications monitoring, for detailed analysis of voice and collaboration data.

NetFlow (developed by Cisco) is a protocol used by IT professionals to determine the point of origin, destination, volume and paths of traffic on a network.

“As work-from-home became the new normal in 2020, use of digital communications and collaboration systems exploded,” said Ciaran Byrne, VP of Product Management at OpsRamp. “IT Operations teams need distinct capabilities for maintaining uptime and user productivity for the new suite of tools and network topologies running businesses today.”

The OpsRamp NetFlow Monitoring solution allows IT Ops pros to do modeling and predictive analysis of flow data collected from servers and network devices. The solution delivers real-time diagnosis of network latency across WAN links to identify “top talkers” (source, destination, protocols, apps) impacting users and business services. OpsRamp NetFlow can also generate alerts based on network traffic utilization, and IT pros can get insights into network utilization patterns to aid in capacity planning or post-incident analysis. The OpsRamp NetFlow Monitoring solution covers the following protocols: V9, V5, IPFIX, S-FLOW, J-FLOW.

The OpsRamp UC Monitoring solution provides IT Ops pros a deep analysis of user communication (voice, SMS, video, chat) collected from UC systems such as Cisco and Avaya and cloud collaboration systems such as Zoom. IT Ops pros can view real-time diagnosis of communications data to quickly identify issues affecting users and receive alerts based on service degradations. Users can generate rich analysis of voice data for improved capacity planning, troubleshooting and post-incident investigations.

“Our network and UC monitoring solutions can support the largest enterprises and MSPs, with coverage of the top flow protocols and the UC systems in the market today,” says Byrne. “These offerings are a logical step for OpsRamp, furthering our mission to offer the most comprehensive, automated and integrated platform for digital operations management.”

OpsRamp NetFlow Monitoring and OpsRamp UC Monitoring are integrated into the OpsRamp platform to deliver unified IT operations visibility.

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OpsRamp Introduces Netflow Monitoring and UC Monitoring

OpsRamp is rolling out two new solutions: OpsRamp NetFlow monitoring, which delivers deep analysis of network traffic, and OpsRamp Unified Communications monitoring, for detailed analysis of voice and collaboration data.

NetFlow (developed by Cisco) is a protocol used by IT professionals to determine the point of origin, destination, volume and paths of traffic on a network.

“As work-from-home became the new normal in 2020, use of digital communications and collaboration systems exploded,” said Ciaran Byrne, VP of Product Management at OpsRamp. “IT Operations teams need distinct capabilities for maintaining uptime and user productivity for the new suite of tools and network topologies running businesses today.”

The OpsRamp NetFlow Monitoring solution allows IT Ops pros to do modeling and predictive analysis of flow data collected from servers and network devices. The solution delivers real-time diagnosis of network latency across WAN links to identify “top talkers” (source, destination, protocols, apps) impacting users and business services. OpsRamp NetFlow can also generate alerts based on network traffic utilization, and IT pros can get insights into network utilization patterns to aid in capacity planning or post-incident analysis. The OpsRamp NetFlow Monitoring solution covers the following protocols: V9, V5, IPFIX, S-FLOW, J-FLOW.

The OpsRamp UC Monitoring solution provides IT Ops pros a deep analysis of user communication (voice, SMS, video, chat) collected from UC systems such as Cisco and Avaya and cloud collaboration systems such as Zoom. IT Ops pros can view real-time diagnosis of communications data to quickly identify issues affecting users and receive alerts based on service degradations. Users can generate rich analysis of voice data for improved capacity planning, troubleshooting and post-incident investigations.

“Our network and UC monitoring solutions can support the largest enterprises and MSPs, with coverage of the top flow protocols and the UC systems in the market today,” says Byrne. “These offerings are a logical step for OpsRamp, furthering our mission to offer the most comprehensive, automated and integrated platform for digital operations management.”

OpsRamp NetFlow Monitoring and OpsRamp UC Monitoring are integrated into the OpsRamp platform to deliver unified IT operations visibility.

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As discussions around AI "autonomous coworkers" accelerate, many industry projections assume that agents will soon operate alongside human staff in making decisions, taking actions, and managing tasks with minimal oversight. But a growing number of critics (including some of the developers building these systems) argue that the industry still has a long way to go to be able to treat AI agents like fully trusted teammates ...

Enterprise AI has entered a transformational phase where, according to Digitate's recently released survey, Agentic AI and the Future of Enterprise IT, companies are moving beyond traditional automation toward Agentic AI systems designed to reason, adapt, and collaborate alongside human teams ...

The numbers back this urgency up. A recent Zapier survey shows that 92% of enterprises now treat AI as a top priority. Leaders want it, and teams are clamoring for it. But if you look closer at the operations of these companies, you see a different picture. The rollout is slow. The results are often delayed. There's a disconnect between what leaders want and what their technical infrastructure can handle ...

Kyndryl's 2025 Readiness Report revealed that 61% of global business and technology leaders report increasing pressure from boards and regulators to prove AI's ROI. As the technology evolves and expectations continue to rise, leaders are compelled to generate and prove impact before scaling further. This will lead to a decisive turning point in 2026 ...

Cloudflare's disruption illustrates how quickly a single provider's issue cascades into widespread exposure. Many organizations don't fully realize how tightly their systems are coupled to thirdparty services, or how quickly availability and security concerns align when those services falter ... You can't avoid these dependencies, but you can understand them ...

If you work with AI, you know this story. A model performs during testing, looks great in early reviews, works perfectly in production and then slowly loses relevance after operating for a while. Everything on the surface looks perfect — pipelines are running, predictions or recommendations are error-free, data quality checks show green; yet outcomes don't meet the ground reality. This pattern often repeats across enterprise AI programs. Take for example, a mid-sized retail banking and wealth-management firm with heavy investments in AI-powered risk analytics, fraud detection and personalized credit-decisioning systems. The model worked well for a while, but transactions increased, so did false positives by 18% ...

Basic uptime is no longer the gold standard. By 2026, network monitoring must do more than report status, it must explain performance in a hybrid-first world. Networks are no longer just static support systems; they are agile, distributed architectures that sit at the very heart of the customer experience and the business outcomes ... The following five trends represent the new standard for network health, providing a blueprint for teams to move from reactive troubleshooting to a proactive, integrated future ...

APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 5, the final installment, covers AI's impacts on IT teams ...

APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 4 covers negative impacts of AI ...

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