Skip to main content

ThousandEyes Expands Support for IPv6-enabled Networks

ThousandEyes announced expanded support for IPv6-enabled networks.

With the surge in cloud adoption and network-connected smart devices, IPv6 is now becoming a critical component of Internet communications and architecture to address scalability and security concerns. However, the need to accommodate dual-stack approaches and sheer magnitude of addresses means the transition to IPv6-enabled networks is inherently more complex. ThousandEyes' insights into IPv6 network behavior enables enterprises to effectively plan and manage these rollouts, ensuring business continues to run smoothly.

"With the explosive growth in cloud adoption and mobile devices, more enterprises and cloud providers are seriously planning for IPv6 and facing a new twist in the challenge of managing their enterprise network," said Nick Kephart, Senior Director of Product Management at ThousandEyes. "ThousandEyes' support for IPv6 delivers visibility and insights into both IPv6 and dual-stack networks. It enables organizations to quickly and seamlessly troubleshoot previously obscure performance issues that impact application and service delivery, so they can deliver a superior digital experience and ensure a smoother transition to IPv6 over time."

The rise in enterprises deploying IPv6 is being driven by the exponential growth of cloud adoption and proliferation of network-connected devices. IPv6 and dual-stack connectivity provide better scalability and security while allowing devices to directly talk to each other and their associated applications. However, the planning, deployment and monitoring of these networks is made more complicated by both the considerable scale of IPv6 and the complexity associated with transition and translation mechanisms used to support both addressing technologies, such as application delivery controllers and network address translation gateways. ThousandEyes is increasing IPv6 coverage to enable enterprises and cloud providers to troubleshoot and analyze complex issues in the transit path across IPv4, IPv6 and dual-stack environments that impact connectivity, reliability and overall performance.

ThousandEyes Cloud Agent support for IPv6 is provided on six continents offering global coverage for organizations. ThousandEyes also supports the use of dual-stack IPv4 and IPv6 Enterprise Agents. Enterprise Agents can have both addresses assigned and will execute Tests based on a user-defined preference for only IPv4, only IPv6 or a preference for IPv6. IPv6 support is now generally available to all users of Enterprise Agents and on select Cloud Agents.

The Latest

In the world of digital-first business, there is no tolerance for service outages. Businesses know that outages are the quickest way to lose money and customers. For smaller organizations, unplanned downtime could even force the business to close ... A new study from PagerDuty, The State of AI-First Operations, reveals that companies actively incorporating AI into operations now view operational resilience as a growth driver rather than a cost center. But how are they achieving it? ...

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 ...

ThousandEyes Expands Support for IPv6-enabled Networks

ThousandEyes announced expanded support for IPv6-enabled networks.

With the surge in cloud adoption and network-connected smart devices, IPv6 is now becoming a critical component of Internet communications and architecture to address scalability and security concerns. However, the need to accommodate dual-stack approaches and sheer magnitude of addresses means the transition to IPv6-enabled networks is inherently more complex. ThousandEyes' insights into IPv6 network behavior enables enterprises to effectively plan and manage these rollouts, ensuring business continues to run smoothly.

"With the explosive growth in cloud adoption and mobile devices, more enterprises and cloud providers are seriously planning for IPv6 and facing a new twist in the challenge of managing their enterprise network," said Nick Kephart, Senior Director of Product Management at ThousandEyes. "ThousandEyes' support for IPv6 delivers visibility and insights into both IPv6 and dual-stack networks. It enables organizations to quickly and seamlessly troubleshoot previously obscure performance issues that impact application and service delivery, so they can deliver a superior digital experience and ensure a smoother transition to IPv6 over time."

The rise in enterprises deploying IPv6 is being driven by the exponential growth of cloud adoption and proliferation of network-connected devices. IPv6 and dual-stack connectivity provide better scalability and security while allowing devices to directly talk to each other and their associated applications. However, the planning, deployment and monitoring of these networks is made more complicated by both the considerable scale of IPv6 and the complexity associated with transition and translation mechanisms used to support both addressing technologies, such as application delivery controllers and network address translation gateways. ThousandEyes is increasing IPv6 coverage to enable enterprises and cloud providers to troubleshoot and analyze complex issues in the transit path across IPv4, IPv6 and dual-stack environments that impact connectivity, reliability and overall performance.

ThousandEyes Cloud Agent support for IPv6 is provided on six continents offering global coverage for organizations. ThousandEyes also supports the use of dual-stack IPv4 and IPv6 Enterprise Agents. Enterprise Agents can have both addresses assigned and will execute Tests based on a user-defined preference for only IPv4, only IPv6 or a preference for IPv6. IPv6 support is now generally available to all users of Enterprise Agents and on select Cloud Agents.

The Latest

In the world of digital-first business, there is no tolerance for service outages. Businesses know that outages are the quickest way to lose money and customers. For smaller organizations, unplanned downtime could even force the business to close ... A new study from PagerDuty, The State of AI-First Operations, reveals that companies actively incorporating AI into operations now view operational resilience as a growth driver rather than a cost center. But how are they achieving it? ...

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 ...