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NS1 Releases Pulsar Traffic Analysis Dashboards

NS1 unveiled Traffic Analysis Dashboards for its Pulsar Active Traffic Steering solution.

With real-time metrics about availability, latency, and traffic distribution, these interactive dashboards make it simple and intuitive to monitor and optimize application delivery across multi-cloud, multi-CDN, and edge environments, enabling performance optimization at a global scale.

NS1’s Pulsar Active Traffic Steering makes application delivery in diverse, distributed environments highly observable and consistently performant by collecting and analyzing real user monitoring (RUM) data at a global scale and then taking action to dynamically and automatically steer traffic over DNS or via HTTP decision endpoint for superior application experiences.

Pulsar Traffic Analysis Dashboards provide insights into the data used to make decisions and how Pulsar actioned that data. This provides increased observability and control for administrators, allowing them to intelligently tune their traffic steering policies to optimize for performance, availability, and cost savings.

“Internet and network conditions can change constantly and unpredictably, which makes it difficult to deliver consistent, superior user experiences,” said Sanjay Ramnath, VP of Products at NS1. “Pulsar solves this challenge by acting on real-time data to optimize for performance and cost at scale. Pulsar’s decisions are now displayed along with deep insights in traffic analysis dashboards, improving visibility into network conditions and making Pulsar data more actionable.”

NS1’s Pulsar transforms insights into action by consuming internet, infrastructure, and RUM data and providing a powerful policy engine through patented Filter Chain™ technology. Intuitive dashboards display real-time metrics so network administrators have visibility into the conditions and policies driving Pulsar’s automated decision-making. Through a single-pane-of-glass view, teams can easily filter and drill down into the highly granular data about traffic distribution and output datasets to quickly surface performance trends—like how often Pulsar has prevented downtime—and identify issues for efficient troubleshooting. Armed with this data, administrators can better communicate the value of their program to executive leaders and continue to fine-tune their traffic steering policies to optimize application delivery performance at the edge.

With the recently launched NS1 Connect platform, the company’s unified technology stack provides connectivity for internal and external applications with the same advanced traffic management capabilities independent of where applications are deployed: on-premises, public clouds, private clouds, or hybrid clouds.

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NS1 Releases Pulsar Traffic Analysis Dashboards

NS1 unveiled Traffic Analysis Dashboards for its Pulsar Active Traffic Steering solution.

With real-time metrics about availability, latency, and traffic distribution, these interactive dashboards make it simple and intuitive to monitor and optimize application delivery across multi-cloud, multi-CDN, and edge environments, enabling performance optimization at a global scale.

NS1’s Pulsar Active Traffic Steering makes application delivery in diverse, distributed environments highly observable and consistently performant by collecting and analyzing real user monitoring (RUM) data at a global scale and then taking action to dynamically and automatically steer traffic over DNS or via HTTP decision endpoint for superior application experiences.

Pulsar Traffic Analysis Dashboards provide insights into the data used to make decisions and how Pulsar actioned that data. This provides increased observability and control for administrators, allowing them to intelligently tune their traffic steering policies to optimize for performance, availability, and cost savings.

“Internet and network conditions can change constantly and unpredictably, which makes it difficult to deliver consistent, superior user experiences,” said Sanjay Ramnath, VP of Products at NS1. “Pulsar solves this challenge by acting on real-time data to optimize for performance and cost at scale. Pulsar’s decisions are now displayed along with deep insights in traffic analysis dashboards, improving visibility into network conditions and making Pulsar data more actionable.”

NS1’s Pulsar transforms insights into action by consuming internet, infrastructure, and RUM data and providing a powerful policy engine through patented Filter Chain™ technology. Intuitive dashboards display real-time metrics so network administrators have visibility into the conditions and policies driving Pulsar’s automated decision-making. Through a single-pane-of-glass view, teams can easily filter and drill down into the highly granular data about traffic distribution and output datasets to quickly surface performance trends—like how often Pulsar has prevented downtime—and identify issues for efficient troubleshooting. Armed with this data, administrators can better communicate the value of their program to executive leaders and continue to fine-tune their traffic steering policies to optimize application delivery performance at the edge.

With the recently launched NS1 Connect platform, the company’s unified technology stack provides connectivity for internal and external applications with the same advanced traffic management capabilities independent of where applications are deployed: on-premises, public clouds, private clouds, or hybrid clouds.

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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 ...