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NS1 Cloud-Managed DDI Released

NS1 unveiled its cloud-managed solution for DNS, DHCP, and IP address management (DDI), delivered through the NS1 Connect platform.

NS1 Cloud-Managed DDI enables organizations to deliver core network services across their distributed network footprint, with the agility of software-based deployment, scale of cloud-native operations, and operating efficiency of SaaS management.

With this release, NS1 offers a unified solution for Managed DNS, DDI, and intelligent application traffic management built on a converged platform designed for dynamic, distributed application and network environments.

Modern distributed enterprises managing multiple branches or locations must securely, reliably, and intelligently connect their applications, customers, employees, and devices everywhere — from the edge to the cloud. Traditional network services are centralized, siloed, and manually operated, making them ill suited to meet the needs of modern businesses. With rigid deployment requirements, limited scalability and programmability, management overhead, inadequate integrations and a lack of global intelligence and visibility, these old solutions hold back innovation and connectivity.

“Network teams managing application traffic and connectivity in distributed environments demand a new approach to delivering core services that can scale with the business,” said David Coffey, CPO, NS1. “With the release of Cloud-Managed DDI on NS1 Connect, we have converged foundational services like external and internal DNS, DHCP, IPAM, and intelligent traffic steering on a single technology stack, with internet scale infrastructure, centralized management, lightweight deployment, automated scalability and global intelligence.”

NS1 Cloud-Managed DDI extends the value of NS1 Connect, a cloud-native platform purpose-built to connect applications and audiences across dynamic and distributed application and network footprints. It delivers unparalleled operating leverage for IT teams empowering them to execute with the speed, scalability, and reliability demanded by today’s most innovative, global enterprises.

With NS1 Cloud-Managed DDI, network services can be quickly deployed in a lightweight, software-defined manner on existing edge infrastructure and cloud platforms. Comprehensive APIs and toolkit integrations allow network services to be dynamically scaled and orchestrated with cloud-native automation and speed. Distributed locations — such as remote offices, retail locations, coffee shops, hotels, hospitals and other edge environments — can operate independently even if connectivity to central service hubs is disrupted. The SaaS delivery model allows for cloud management that boosts operational efficiencies and minimizes service disruptions due to upgrades and maintenance.

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NS1 Cloud-Managed DDI Released

NS1 unveiled its cloud-managed solution for DNS, DHCP, and IP address management (DDI), delivered through the NS1 Connect platform.

NS1 Cloud-Managed DDI enables organizations to deliver core network services across their distributed network footprint, with the agility of software-based deployment, scale of cloud-native operations, and operating efficiency of SaaS management.

With this release, NS1 offers a unified solution for Managed DNS, DDI, and intelligent application traffic management built on a converged platform designed for dynamic, distributed application and network environments.

Modern distributed enterprises managing multiple branches or locations must securely, reliably, and intelligently connect their applications, customers, employees, and devices everywhere — from the edge to the cloud. Traditional network services are centralized, siloed, and manually operated, making them ill suited to meet the needs of modern businesses. With rigid deployment requirements, limited scalability and programmability, management overhead, inadequate integrations and a lack of global intelligence and visibility, these old solutions hold back innovation and connectivity.

“Network teams managing application traffic and connectivity in distributed environments demand a new approach to delivering core services that can scale with the business,” said David Coffey, CPO, NS1. “With the release of Cloud-Managed DDI on NS1 Connect, we have converged foundational services like external and internal DNS, DHCP, IPAM, and intelligent traffic steering on a single technology stack, with internet scale infrastructure, centralized management, lightweight deployment, automated scalability and global intelligence.”

NS1 Cloud-Managed DDI extends the value of NS1 Connect, a cloud-native platform purpose-built to connect applications and audiences across dynamic and distributed application and network footprints. It delivers unparalleled operating leverage for IT teams empowering them to execute with the speed, scalability, and reliability demanded by today’s most innovative, global enterprises.

With NS1 Cloud-Managed DDI, network services can be quickly deployed in a lightweight, software-defined manner on existing edge infrastructure and cloud platforms. Comprehensive APIs and toolkit integrations allow network services to be dynamically scaled and orchestrated with cloud-native automation and speed. Distributed locations — such as remote offices, retail locations, coffee shops, hotels, hospitals and other edge environments — can operate independently even if connectivity to central service hubs is disrupted. The SaaS delivery model allows for cloud management that boosts operational efficiencies and minimizes service disruptions due to upgrades and maintenance.

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For many B2B and B2C enterprise brands, technology isn't a core strength. Relying on overly complex architectures (like those that follow a pure MACH doctrine) has been flagged by industry leaders as a source of operational slowdown, creating bottlenecks that limit agility in volatile market conditions ...

FinOps champions crucial cross-departmental collaboration, uniting business, finance, technology and engineering leaders to demystify cloud expenses. Yet, too often, critical cost issues are softened into mere "recommendations" or "insights" — easy to ignore. But what if we adopted security's battle-tested strategy and reframed these as the urgent risks they truly are, demanding immediate action? ...

Two in three IT professionals now cite growing complexity as their top challenge — an urgent signal that the modernization curve may be getting too steep, according to the Rising to the Challenge survey from Checkmk ...

While IT leaders are becoming more comfortable and adept at balancing workloads across on-premises, colocation data centers and the public cloud, there's a key component missing: connectivity, according to the 2025 State of the Data Center Report from CoreSite ...

A perfect storm is brewing in cybersecurity — certificate lifespans shrinking to just 47 days while quantum computing threatens today's encryption. Organizations must embrace ephemeral trust and crypto-agility to survive this dual challenge ...

In MEAN TIME TO INSIGHT Episode 14, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud network observability... 

While companies adopt AI at a record pace, they also face the challenge of finding a smart and scalable way to manage its rapidly growing costs. This requires balancing the massive possibilities inherent in AI with the need to control cloud costs, aim for long-term profitability and optimize spending ...

Telecommunications is expanding at an unprecedented pace ... But progress brings complexity. As WanAware's 2025 Telecom Observability Benchmark Report reveals, many operators are discovering that modernization requires more than physical build outs and CapEx — it also demands the tools and insights to manage, secure, and optimize this fast-growing infrastructure in real time ...

As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...