Skip to main content

Exoprise Extends Crowd Powered Performance Monitoring to Microsoft Lync Online and Skype for Business

Exoprise announced the addition of a new suite of sensors to address the needs of admins managing Microsoft Lync Online, Skype for Business, and other VoIP and cloud-based collaboration apps.

The new sensors give IT teams continuous point-to-point monitoring of these unified communication services to assure service levels. Users also get access to Exoprise’s repository of performance data, crowd-sourced from other subscribers around the world, to enable faster problem detection, diagnosis, and resolution.

“Lync Online draws many organizations to Office 365 because it gives them a robust IM, voice, and video collaboration solution without the cost and complexity of managing their own Lync servers,” said Exoprise founder and CEO, Jason Lieblich. “However, IT teams quickly find that they can’t effectively manage Lync Online performance and user experience with their existing IT management and monitoring tools. CloudReady is the first and only solution able to actively monitor Lync Online performance between real user locations.”

The new solution, which is part of the Exoprise CloudReady platform, is available and includes sensors to enable admins to monitor Lync 2013 and Lync Online as well as traditional VoIP services. Synthetic tests measure real Lync/VoIP performance between user locations, and admins can compare performance at their locations to global Lync/VoIP user trends using Exoprise’s unique crowd data aggregation and analytics features.

“Users demand high availability and performance for their Lync Online IM, voice and video communications,“ said Patrick Carey, VP of Product and Marketing at Exoprise. “If IT teams can’t maintain service levels the advantages of moving these services to the cloud are quickly negated. This is no easy task given Lync’s proprietary architecture and protocols. Until today, Lync Online admins were completely in the dark, but with CloudReady’s ability to track, analyze, and alert on over 50 performance metrics, organizations can finally move to the cloud without losing visibility and control.”

By synthetically monitoring Lync and VoIP traffic between real user locations, CloudReady provides admins with continuous real time alerts and diagnostics for the key indicators of service health and performance, including:

- Mean Opinion Scores (MOS) provide an overall gauge of how users would perceive call quality.

- Average and Maximum Jitter Rates measure variations in network latencies that result in choppy audio.

- Round Trip Times identify network latencies that cause delays in audio delivery.

- Packet Loss Rates detect conditions that will degrade audio sound quality.

- Session & Conversation Initialization Times detect issues the result in delay and failure of IM, voice, or video sessions.

These new sensors complement Exoprise’s CloudReady performance monitoring solution for Microsoft Office 365, a full-suite APM solution for Office 365 CloudReady also provides Crowd Powered APM solutions for the most popular SaaS apps, including Salesforce.com, Marketo, Box, Dropbox, Workday and many more.

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.

Exoprise Extends Crowd Powered Performance Monitoring to Microsoft Lync Online and Skype for Business

Exoprise announced the addition of a new suite of sensors to address the needs of admins managing Microsoft Lync Online, Skype for Business, and other VoIP and cloud-based collaboration apps.

The new sensors give IT teams continuous point-to-point monitoring of these unified communication services to assure service levels. Users also get access to Exoprise’s repository of performance data, crowd-sourced from other subscribers around the world, to enable faster problem detection, diagnosis, and resolution.

“Lync Online draws many organizations to Office 365 because it gives them a robust IM, voice, and video collaboration solution without the cost and complexity of managing their own Lync servers,” said Exoprise founder and CEO, Jason Lieblich. “However, IT teams quickly find that they can’t effectively manage Lync Online performance and user experience with their existing IT management and monitoring tools. CloudReady is the first and only solution able to actively monitor Lync Online performance between real user locations.”

The new solution, which is part of the Exoprise CloudReady platform, is available and includes sensors to enable admins to monitor Lync 2013 and Lync Online as well as traditional VoIP services. Synthetic tests measure real Lync/VoIP performance between user locations, and admins can compare performance at their locations to global Lync/VoIP user trends using Exoprise’s unique crowd data aggregation and analytics features.

“Users demand high availability and performance for their Lync Online IM, voice and video communications,“ said Patrick Carey, VP of Product and Marketing at Exoprise. “If IT teams can’t maintain service levels the advantages of moving these services to the cloud are quickly negated. This is no easy task given Lync’s proprietary architecture and protocols. Until today, Lync Online admins were completely in the dark, but with CloudReady’s ability to track, analyze, and alert on over 50 performance metrics, organizations can finally move to the cloud without losing visibility and control.”

By synthetically monitoring Lync and VoIP traffic between real user locations, CloudReady provides admins with continuous real time alerts and diagnostics for the key indicators of service health and performance, including:

- Mean Opinion Scores (MOS) provide an overall gauge of how users would perceive call quality.

- Average and Maximum Jitter Rates measure variations in network latencies that result in choppy audio.

- Round Trip Times identify network latencies that cause delays in audio delivery.

- Packet Loss Rates detect conditions that will degrade audio sound quality.

- Session & Conversation Initialization Times detect issues the result in delay and failure of IM, voice, or video sessions.

These new sensors complement Exoprise’s CloudReady performance monitoring solution for Microsoft Office 365, a full-suite APM solution for Office 365 CloudReady also provides Crowd Powered APM solutions for the most popular SaaS apps, including Salesforce.com, Marketo, Box, Dropbox, Workday and many more.

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.