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NS1 Integrates with Cisco Catalyst 9300 and 9400 Edge Networking Solutions

NS1 announced that its software-defined, enterprise-grade DNS, DHCP, and IP address management (DDI) platform can now be hosted on Cisco Catalyst 9300 and 9400 Series switches to deliver faster, more scalable network services with lower cost by leveraging the network hardware already in place.

Modern distributed edge and application delivery environments must perform reliably and seamlessly. But maintaining reliable and superior connected experiences can be complex and challenging. By hosting NS1 Enterprise DDI on the industry’s most widely deployed family of switches, customers can use their existing Cisco Catalyst infrastructure for edge deployments with improved scalability, redundancy, and performance optimization across distributed environments.

“Ensuring application performance has become one of our customers’ top priorities. Making NS1’s DDI platform readily available to our Catalyst 9300 and 9400 series customers offers them a powerful tool that addresses some of their largest, most pressing challenges,” said Himanshu Mehra, Senior Director, Enterprise Networking and Cloud at Cisco. “NS1’s solution is a great example of applications using Cisco’s infrastructure solutions as a platform. This makes it simple for network teams to automate action to minimize or eliminate the negative impact when application delivery issues threaten to disrupt the end-user experience.”

NS1 Enterprise DDI powers modern networks by connecting the applications with users and devices—no matter where they are located—optimizing application performance and resilience from the cloud to the network edge. Centralized provisioning through a single console enables network teams to manage the entire DDI solution across a distributed footprint, including remote access branches and multi- or hybrid clouds. Given the flexible deployment options available for NS1 Enterprise DDI, the solution can easily scale in or scale out both horizontally and vertically across the complete stack as the needs and requirements of the core networks grow.

“Edge networking footprints, enabled by NS1's flexible and lightweight deployments, result in massive optimization of application performance for distributed offices and users, compared to legacy approaches, which typically deliver core network services from a central data center,” said David Coffey, CPO for NS1. “For example, NS1's edge DNS and DHCP services can be deployed atop existing network gear in a regional branch office to eliminate the need to manage additional gear. Leveraging existing equipment reduces costs and potential security risks.”

In addition to enterprise-grade resilience for core network services, teams benefit from NS1 Filter Chain™ technology, which allows them to granularly route traffic based on performance and business logic across globally distributed cloud and on-premise data centers. And NS1’s software-defined approach makes it easy for teams to build a programmable infrastructure leveraging APIs and automation tools.

Together, NS1 and Cisco solutions empower DevOps, NetOps, and SecOps teams to more efficiently, securely, and reliably deliver and scale application and network services that enable modern businesses.

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NS1 Integrates with Cisco Catalyst 9300 and 9400 Edge Networking Solutions

NS1 announced that its software-defined, enterprise-grade DNS, DHCP, and IP address management (DDI) platform can now be hosted on Cisco Catalyst 9300 and 9400 Series switches to deliver faster, more scalable network services with lower cost by leveraging the network hardware already in place.

Modern distributed edge and application delivery environments must perform reliably and seamlessly. But maintaining reliable and superior connected experiences can be complex and challenging. By hosting NS1 Enterprise DDI on the industry’s most widely deployed family of switches, customers can use their existing Cisco Catalyst infrastructure for edge deployments with improved scalability, redundancy, and performance optimization across distributed environments.

“Ensuring application performance has become one of our customers’ top priorities. Making NS1’s DDI platform readily available to our Catalyst 9300 and 9400 series customers offers them a powerful tool that addresses some of their largest, most pressing challenges,” said Himanshu Mehra, Senior Director, Enterprise Networking and Cloud at Cisco. “NS1’s solution is a great example of applications using Cisco’s infrastructure solutions as a platform. This makes it simple for network teams to automate action to minimize or eliminate the negative impact when application delivery issues threaten to disrupt the end-user experience.”

NS1 Enterprise DDI powers modern networks by connecting the applications with users and devices—no matter where they are located—optimizing application performance and resilience from the cloud to the network edge. Centralized provisioning through a single console enables network teams to manage the entire DDI solution across a distributed footprint, including remote access branches and multi- or hybrid clouds. Given the flexible deployment options available for NS1 Enterprise DDI, the solution can easily scale in or scale out both horizontally and vertically across the complete stack as the needs and requirements of the core networks grow.

“Edge networking footprints, enabled by NS1's flexible and lightweight deployments, result in massive optimization of application performance for distributed offices and users, compared to legacy approaches, which typically deliver core network services from a central data center,” said David Coffey, CPO for NS1. “For example, NS1's edge DNS and DHCP services can be deployed atop existing network gear in a regional branch office to eliminate the need to manage additional gear. Leveraging existing equipment reduces costs and potential security risks.”

In addition to enterprise-grade resilience for core network services, teams benefit from NS1 Filter Chain™ technology, which allows them to granularly route traffic based on performance and business logic across globally distributed cloud and on-premise data centers. And NS1’s software-defined approach makes it easy for teams to build a programmable infrastructure leveraging APIs and automation tools.

Together, NS1 and Cisco solutions empower DevOps, NetOps, and SecOps teams to more efficiently, securely, and reliably deliver and scale application and network services that enable modern businesses.

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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 ...

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