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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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I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...