Skip to main content

Accedian Enhances Skylight Capabilities

Accedian announced that its cloud-native performance monitoring and analytics platform, Skylight, has added significant new capabilities enabling increased performance visibility across application, cloud, and network infrastructure in a unified view.

This release combines full stack end user experience visibility with deep passive and active network infrastructure insights.

Skylight generates and analyzes huge volumes of active, high-definition network testing data and passive, traffic-based service experience data in real time to provide levels of visibility and flexibility that are not possible or available in a singular solution today. Third party data can also be added to augment Skylight sensor analysis and insights.

With Skylight, organizations will have pervasive visibility of their entire environment and the added value of enhanced analytics and data correlation, resulting in faster root cause identification of network issues, the ability to drill-down to microsecond granularity for network events, and predictive problem identification. Cloud native and orchestrated, Skylight is the complete user experience and network optimization system enterprises need today.

Skylight offers a software-based tool that is both flexible and economical—Skylight’s compact, structured and intelligent metadata technology makes it both scalable, to empower enterprises to monitor small to extremely large deployments, and able to retain historical data without the costs associated with storage of full packet captures. As a result, IT teams can gain a unified view of application and network performance across the entire organization, from headquarters and central on-premises data centers, to the cloud and remote locations.

“Enterprises are moving applications to the cloud faster than ever before but they struggle with visibility into complex, multi-tier applications. We are proud of the advances we have made to help our customers overcome these challenges by delivering the industry’s first unified network tool that provides both active and passive insights at this level of granularity and scale,” said Tom Foottit, VP Product Management, Accedian. “Skylight leverages cutting-edge technologies to offer highly accurate analysis to our customers so they can continue innovating at the accelerated pace required for leading modern businesses.”

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 ...

Accedian Enhances Skylight Capabilities

Accedian announced that its cloud-native performance monitoring and analytics platform, Skylight, has added significant new capabilities enabling increased performance visibility across application, cloud, and network infrastructure in a unified view.

This release combines full stack end user experience visibility with deep passive and active network infrastructure insights.

Skylight generates and analyzes huge volumes of active, high-definition network testing data and passive, traffic-based service experience data in real time to provide levels of visibility and flexibility that are not possible or available in a singular solution today. Third party data can also be added to augment Skylight sensor analysis and insights.

With Skylight, organizations will have pervasive visibility of their entire environment and the added value of enhanced analytics and data correlation, resulting in faster root cause identification of network issues, the ability to drill-down to microsecond granularity for network events, and predictive problem identification. Cloud native and orchestrated, Skylight is the complete user experience and network optimization system enterprises need today.

Skylight offers a software-based tool that is both flexible and economical—Skylight’s compact, structured and intelligent metadata technology makes it both scalable, to empower enterprises to monitor small to extremely large deployments, and able to retain historical data without the costs associated with storage of full packet captures. As a result, IT teams can gain a unified view of application and network performance across the entire organization, from headquarters and central on-premises data centers, to the cloud and remote locations.

“Enterprises are moving applications to the cloud faster than ever before but they struggle with visibility into complex, multi-tier applications. We are proud of the advances we have made to help our customers overcome these challenges by delivering the industry’s first unified network tool that provides both active and passive insights at this level of granularity and scale,” said Tom Foottit, VP Product Management, Accedian. “Skylight leverages cutting-edge technologies to offer highly accurate analysis to our customers so they can continue innovating at the accelerated pace required for leading modern businesses.”

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 ...