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ThousandEyes Introduces Voice-Over-IP Monitoring

ThousandEyes announced the general availability of Voice-Over-IP (VoIP) monitoring, thereby expanding the portfolio of applications that network operations teams can monitor and troubleshoot.

ThousandEyes VoIP monitoring extends performance visibility across corporate networks, the Internet and wide area networks (WANs) so companies can quickly identify and resolve call issues with minimal disruption to their daily business.

Enterprises are increasingly replacing fixed telephone lines with VoIP, making VoIP a critical application for operations teams to manage. With many branch offices, wired and wireless networks, and data traversing corporate backbones and the Internet, VoIP service degradation has been tricky to troubleshoot. The move to cloud-based Unified Communications (UCaaS) increases the reliance on multiple networks and service providers. Traditional VoIP monitoring solutions track quality metrics, but often fail to pinpoint exactly where in the network a problem is located or to correlate performance to underlying network changes.

ThousandEyes brings detailed path visualization that helps operators identify exactly which network devices and interfaces are responsible for quality and availability issues. This gives operators deep insight into VoIP traffic that they've never had before, extending visibility across corporate networks as well as the public Internet. Enterprise IT teams can use VoIP monitoring for both inter-office connections over the WAN as well as circuits that connect back to call managers in the data center or UCaaS systems in the cloud. VoIP providers themselves can ensure that their voice services meet SLAs from points around the globe.

"As businesses make use of more and more network-accessed, business-critical services, ThousandEyes continues to redefine traditional network performance management and keep apace," said Peter Christy, Research Director, Networking at 451 Research. "ThousandEyes VoIP performance monitoring offers an innovative and forward-thinking approach to ensuring communications service quality as more businesses move away from traditional telephony and onto the Internet."

ThousandEyes VoIP monitoring tracks call quality, such as loss, jitter, and mean opinion score (MOS). VoIP monitoring includes path visualization overlays to map how routing affects voice calling experience. The path view can particularly help network engineers troubleshoot QoS (Quality of Service) by verifying MPLS (Multi-Protocol Label Switching) routing throughout the WAN.

"Due to its real-time nature, VoIP is one of the most intolerant applications when it comes to network performance degradation and network packet loss or jitter will trash a voice call, frustrating end-users and starting blame games in order to fix the problem," said Ricardo Oliveira, CTO of ThousandEyes. "ThousandEyes VoIP monitoring helps customers quickly identify the cause of QoS degradation, providing a hop-by-hop view of the path traversed by voice packets across different networks, including the Internet, which makes this capability one of a kind. This is the first in a series of new voice monitoring capabilities we have planned."

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ThousandEyes Introduces Voice-Over-IP Monitoring

ThousandEyes announced the general availability of Voice-Over-IP (VoIP) monitoring, thereby expanding the portfolio of applications that network operations teams can monitor and troubleshoot.

ThousandEyes VoIP monitoring extends performance visibility across corporate networks, the Internet and wide area networks (WANs) so companies can quickly identify and resolve call issues with minimal disruption to their daily business.

Enterprises are increasingly replacing fixed telephone lines with VoIP, making VoIP a critical application for operations teams to manage. With many branch offices, wired and wireless networks, and data traversing corporate backbones and the Internet, VoIP service degradation has been tricky to troubleshoot. The move to cloud-based Unified Communications (UCaaS) increases the reliance on multiple networks and service providers. Traditional VoIP monitoring solutions track quality metrics, but often fail to pinpoint exactly where in the network a problem is located or to correlate performance to underlying network changes.

ThousandEyes brings detailed path visualization that helps operators identify exactly which network devices and interfaces are responsible for quality and availability issues. This gives operators deep insight into VoIP traffic that they've never had before, extending visibility across corporate networks as well as the public Internet. Enterprise IT teams can use VoIP monitoring for both inter-office connections over the WAN as well as circuits that connect back to call managers in the data center or UCaaS systems in the cloud. VoIP providers themselves can ensure that their voice services meet SLAs from points around the globe.

"As businesses make use of more and more network-accessed, business-critical services, ThousandEyes continues to redefine traditional network performance management and keep apace," said Peter Christy, Research Director, Networking at 451 Research. "ThousandEyes VoIP performance monitoring offers an innovative and forward-thinking approach to ensuring communications service quality as more businesses move away from traditional telephony and onto the Internet."

ThousandEyes VoIP monitoring tracks call quality, such as loss, jitter, and mean opinion score (MOS). VoIP monitoring includes path visualization overlays to map how routing affects voice calling experience. The path view can particularly help network engineers troubleshoot QoS (Quality of Service) by verifying MPLS (Multi-Protocol Label Switching) routing throughout the WAN.

"Due to its real-time nature, VoIP is one of the most intolerant applications when it comes to network performance degradation and network packet loss or jitter will trash a voice call, frustrating end-users and starting blame games in order to fix the problem," said Ricardo Oliveira, CTO of ThousandEyes. "ThousandEyes VoIP monitoring helps customers quickly identify the cause of QoS degradation, providing a hop-by-hop view of the path traversed by voice packets across different networks, including the Internet, which makes this capability one of a kind. This is the first in a series of new voice monitoring capabilities we have planned."

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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.