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NetSocket Introduces Cloud Experience Manager

NetSocket introduced the Cloud Experience Manager (CEM), an IP assurance solution for managing the end-user experience in private, public and hybrid cloud environments.

Cloud Experience Manager is designed to anticipate, isolate and remediate problems with dynamic voice, video and data services without using intrusive probes throughout the network.

CEM offers a comprehensive view of session, content and network quality on a hop-by-hop basis, delivering immediate insight into network issues.

CEM is based on NetSocket’s unparalleled IP Correlation Engine (ICE), which quantifies the user experience by automatically correlating session, content and IP topology quality events in real time for each individual user. With CEM, customers can deliver a trouble-free cloud experience to their end users that ensures higher session quality and lower support costs.

In one console screen, CEM empowers network managers to anticipate, isolate and remediate network issues within unified communications environments before they become end-user problems:

• Anticipate — Deliver proactive service management by foreseeing abnormalities in the customer experience on each call, video session and data session; obtaining historical, current and predictive views of the network status; and capturing performance, quality analytics and trending.

• Isolate — Get a single, comprehensive view across multiple vendors and topologies that scales to fit any size network; capture and correlate the user experience in real time to the session, content and IP topology; and obtain service validation and forensic data for localizing the root cause of issues.

• Remediate — Generate granular data to enable rapid repair and implement best practices and resolution scripts, ensuring effective management of service level agreements.

“With cloud environments carrying more and more of the world’s voice, video and data, the complexities of ensuring a trouble-free end-user experience have grown dramatically. This has opened the door for an innovative solution specifically focused on reliably ensuring the delivery of real-time, interactive cloud services,” said John White, CEO, NetSocket. “Cloud Experience Manager is that solution, and it has the unique ability to anticipate issues before they happen, saving time and resources.”

NetSocket offers Cloud Experience Manager in an industry-standard appliance as well as a Solution-as-a-Service (SaaS) model for low-cost entry.

CEM is easily integrated, leveraging existing infrastructure investments, and does not require traditional probes.

Cloud Experience Manager is available from NetSocket and through its partners, which include Avaya, Cisco, JDSU and CSC.

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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 ...

NetSocket Introduces Cloud Experience Manager

NetSocket introduced the Cloud Experience Manager (CEM), an IP assurance solution for managing the end-user experience in private, public and hybrid cloud environments.

Cloud Experience Manager is designed to anticipate, isolate and remediate problems with dynamic voice, video and data services without using intrusive probes throughout the network.

CEM offers a comprehensive view of session, content and network quality on a hop-by-hop basis, delivering immediate insight into network issues.

CEM is based on NetSocket’s unparalleled IP Correlation Engine (ICE), which quantifies the user experience by automatically correlating session, content and IP topology quality events in real time for each individual user. With CEM, customers can deliver a trouble-free cloud experience to their end users that ensures higher session quality and lower support costs.

In one console screen, CEM empowers network managers to anticipate, isolate and remediate network issues within unified communications environments before they become end-user problems:

• Anticipate — Deliver proactive service management by foreseeing abnormalities in the customer experience on each call, video session and data session; obtaining historical, current and predictive views of the network status; and capturing performance, quality analytics and trending.

• Isolate — Get a single, comprehensive view across multiple vendors and topologies that scales to fit any size network; capture and correlate the user experience in real time to the session, content and IP topology; and obtain service validation and forensic data for localizing the root cause of issues.

• Remediate — Generate granular data to enable rapid repair and implement best practices and resolution scripts, ensuring effective management of service level agreements.

“With cloud environments carrying more and more of the world’s voice, video and data, the complexities of ensuring a trouble-free end-user experience have grown dramatically. This has opened the door for an innovative solution specifically focused on reliably ensuring the delivery of real-time, interactive cloud services,” said John White, CEO, NetSocket. “Cloud Experience Manager is that solution, and it has the unique ability to anticipate issues before they happen, saving time and resources.”

NetSocket offers Cloud Experience Manager in an industry-standard appliance as well as a Solution-as-a-Service (SaaS) model for low-cost entry.

CEM is easily integrated, leveraging existing infrastructure investments, and does not require traditional probes.

Cloud Experience Manager is available from NetSocket and through its partners, which include Avaya, Cisco, JDSU and CSC.

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 ...