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Accedian Upgrades Skylight Performance Analytics

Accedian announced that its cloud-native performance monitoring and analytics platform, Skylight, is available with significant new capabilities to provide differentiated network and service performance visibility and reporting for business and managed service providers.

Business and managed service providers can now offer value-added performance and analytics services, combining insights from active, high-definition network testing and passive, traffic-based service experience monitoring data in a single pane of glass that end customers can access 24×7 in customer self-service portals.

Skylight provides detailed performance visibility from Layer 2 to Layer 7 for east-west traffic in data centers and in the cloud, at the edge in uCPE and SD-WAN devices, from remote branch locations, and across WAN links. This data is then correlated and analyzed in a single view in the Skylight platform, providing unparalleled service visibility. Skylight’s analytics and predictive capabilities also allow service providers to proactively monitor service performance and quickly prioritize and prevent customer-impacting issues.

As a cloud-native software solution, Skylight is multi-tenanted and easy to deploy. Dynamic dashboards and flexible reporting can be customized to support different enterprise customers, eliminating the need for manual reporting. Skylight performance data can also be correlated with other third-party data via APIs to quickly identify issues and speed up problem resolution.

“Accedian Skylight’s performance analytics capabilities unify end-to-end service performance monitoring with network traffic visibility on a single platform. Business service providers can automate performance reporting and give their enterprise customers a real-time view of their network and services,” said Tom Foottit, VP Product Management at Accedian. “The ability to correlate data for predictive problem identification and faster troubleshooting gives service providers a leg up, allowing them to pinpoint issues that are causing applications to slow down and affecting productivity or disrupting critical communication services like video conferencing.”

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Accedian Upgrades Skylight Performance Analytics

Accedian announced that its cloud-native performance monitoring and analytics platform, Skylight, is available with significant new capabilities to provide differentiated network and service performance visibility and reporting for business and managed service providers.

Business and managed service providers can now offer value-added performance and analytics services, combining insights from active, high-definition network testing and passive, traffic-based service experience monitoring data in a single pane of glass that end customers can access 24×7 in customer self-service portals.

Skylight provides detailed performance visibility from Layer 2 to Layer 7 for east-west traffic in data centers and in the cloud, at the edge in uCPE and SD-WAN devices, from remote branch locations, and across WAN links. This data is then correlated and analyzed in a single view in the Skylight platform, providing unparalleled service visibility. Skylight’s analytics and predictive capabilities also allow service providers to proactively monitor service performance and quickly prioritize and prevent customer-impacting issues.

As a cloud-native software solution, Skylight is multi-tenanted and easy to deploy. Dynamic dashboards and flexible reporting can be customized to support different enterprise customers, eliminating the need for manual reporting. Skylight performance data can also be correlated with other third-party data via APIs to quickly identify issues and speed up problem resolution.

“Accedian Skylight’s performance analytics capabilities unify end-to-end service performance monitoring with network traffic visibility on a single platform. Business service providers can automate performance reporting and give their enterprise customers a real-time view of their network and services,” said Tom Foottit, VP Product Management at Accedian. “The ability to correlate data for predictive problem identification and faster troubleshooting gives service providers a leg up, allowing them to pinpoint issues that are causing applications to slow down and affecting productivity or disrupting critical communication services like video conferencing.”

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AI observability serves several roles across an organization. AI engineers use it to build, evaluate, and improve AI systems. SREs use it to operate those systems reliably and efficiently in production, including managing their cost. Leaders need it to connect AI behavior and operational performance to business outcomes. The common need is a clear understanding of whether AI systems are delivering the intended result ...

Part 4 outlines the challenges enterprise face when adopting AI observability. The main challenge is that AI complexity compounds at every stage of maturity. LLM-based applications introduce new behavior, dependencies, and quality considerations, while Agentic AI adds further failure modes as systems make decisions and take actions ...

Part 3 reports on the current state of AI observability. Most experts agree: enterprises are moving faster with AI than they are with the operational discipline needed to run it safely ...

When discussing AI Observability, one of the first questions that arises: Is this just an extension of traditional observability or is this a whole new type of tool? Part 2 compares traditional observability with AI observability ...

In this extensive 14-part series that will post over the next three weeks, experts across observability and AI will provide insight and opinions on the need for AI Observability, the challenges, the benefits, the current state, and predictions for the future ...

Amid rising complexity, organizations are moving quickly toward agent-driven operations: AgenticOps, according to The Impact of Agentic AI on Network Operations, a new report from Cisco ...

AI, automation, and enterprise software give organizations an extraordinary amount of leverage. Work that once required hours can happen in minutes. Information buried across systems can be analyzed almost instantly. Complex workflows can be coordinated across teams with far less manual intervention. That leverage creates a temptation to start with the technology ...

Everyone wants to talk about models. Compute clusters. Benchmark scores that climb a fraction of a point and make headlines anyway. It's an easy conversation to have because it's measurable. But it's also increasingly beside the point ...

For more than a decade, the default infrastructure play has been simple. Move more workloads to the cloud, retire on-premises gear and treat the data center as a cost to shrink. That logic held while public cloud offered near-limitless capacity at predictable prices, and AI demand is now testing both halves of that assumption ...

Most enterprise IT leaders can tell you exactly how many applications are running across their organization. They can surface a dashboard showing telecom spend by region, pull a report on SaaS license utilization, or call up a real-time view of mobile device inventory. The data is there, and IT leaders have largely delivered on the promise of visibility. Yet, in most organizations, that visibility has not translated into business value ...