NetScout Systems announced nGenuis Voice | Video Manager has been qualified for interoperability with Microsoft Lync.
The integration of nGenius Voice | Video Manager with Microsoft Lync Server enables real-time, end-to-end performance management of unified communications (UC) service delivery that combines performance metrics from endpoints, call path, and other critical UC elements.
Together, NetScout and Microsoft help IT organizations achieve a holistic view of the Lync service delivery environment to optimize the management of delivered services, protect the user experience, and reduce the total cost of IT operations.
Lync makes communications more collaborative and accessible regardless of a user’s physical location, improving both service quality and availability – two elements critical to maximizing business value. The underlying delivery infrastructure for Lync can be complex and is often comprised of many elements from different vendors distributed across multiple locations. IT organizations must be able to see all components across the network and service delivery environment supporting a Lync deployment in real time to assure the optimal user experience.
nGenius Voice | Video Manager is a UC performance management solution that delivers always-on visibility into the entire Lync service delivery infrastructure. nGenius Voice | Video Manager continuously monitors and analyzes network, infrastructure, and IP communications from Lync sessions, and provides actionable intelligence about the end-to-end quality and performance of Lync services.
The solution automates and simplifies the identification and reporting of emerging Lync service degradations. This allows IT to quickly triage critical issues and proactively prevent future performance issues before they impact user experience. Through real-time predictive and historical analysis, IT organizations are able to reduce their mean time to repair for faster problem resolution.
“With Lync’s extensibility model, Microsoft enables partners to provide applications that provide insight into service delivery performance,” said Jon Morrow, Senior Program Manager for Lync Partner Engineering at Microsoft. “Having met the requirements for Lync qualification, nGenius Voice | Video Manager provides customers with a solution that can maximize the availability and performance of Lync to meet growing business needs.”
The nGenius solution enables IT organizations to simultaneously manage the performance and delivery of data and UC services from a unified platform leveraging common monitoring appliances. The nGenius solution combines proactive service management with intelligent analytics to enable IT staff to understand application-level behavior and its impact on service quality.
The solution delivers relevant and contextual insight into the service delivery environment with unified and aggregated service views. This provides situational awareness and early response to help mitigate or prevent service disruptions, and allows IT to precisely assure the end-to-end delivery of data, voice and Telepresence services.
“Organizations are making significant investments in unified communications tools. One of the barriers to successful UC adoption is service performance that negatively impacts the user experience,” said Steven Shalita, VP Marketing, NetScout. “We help customers implement a true unified service delivery management strategy that enables customers to lower the total cost of IT operations by managing the delivery of both business-critical data and UC services. With NetScout, IT organizations can gain an enterprise-wide perspective of the UC service delivery environment, enable a better view into actual user experience, and simplify the end-to-end management of UC service delivery.”
The Latest
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.
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 ...