Skip to main content

F5 Launches NGINX One

F5 announced general availability of F5 NGINX One, combining advanced load balancing, web and application server capabilities, API gateway functionalities, and security features in a dedicated package.

Customers are now able to simply manage and secure F5 NGINX instances and NGINX Open Source from a single cloud management interface. End-to-end visibility speeds apps to market and enables advanced features like AI more efficiently versus a traditional siloed approach.

This new offering makes NGINX technology easier to deploy, unlocking capabilities unmatched by competitors. NGINX One consolidates formerly individual offerings such as NGINX Plus into a unified solution, leading to cost savings and simplified deployments. Via the new NGINX One Console, customers can ensure global policy compliance and establish a comprehensive view of NGINX, making it easier for organizations to do the right thing for their teams and their business.

“Successful application deployment is a team sport,” said Shawn Wormke, Vice President and General Manager for NGINX at F5. “App delivery and security functions—and corresponding visibility—are often sequestered among individual groups. NGINX One is ideal for modern, ephemeral, and cloud-native app components such as containers and Kubernetes, providing a solution that cost-effectively optimizes, scales, and secures complicated application and API environments across multiple teams.”

NGINX One improves app security and delivery for development, operations, and platform teams by making it easier to own, optimize, and govern NGINX components in any context. With the NGINX One Console, teams can broadly and easily enforce security policies across the application ecosystem, receive and implement configuration guidance, and automate version and patch updates—all helping to ensure compliance.

“The success of microservices-based and containerized applications and app components relies on the work of many separate teams,” said Jim Mercer, IDC Program Vice President, Software Development, DevOps, and DevSecOps. “NGINX One is essentially designed to make it easier to harmonize these workflows. This release marks the evolution of NGINX from primarily a development tool to a more mature enterprise-class SaaS-based solution. As a result, customers may be able to reduce certain point solutions since they can see performance and security data across the NGINX application landscape without being limited to a single Kubernetes cluster.”

Many organizations run both NGINX Plus and NGINX Open Source but have historically not had cross-team views when making changes or adding NGINX instances. NGINX One extends visibility and observability across multiple functions, enabling unified policy enforcement and ensuring that dev teams can scale apps in line with business demands. NGINX One also provides updated visualization tools to clearly monitor and present data to each team in the application delivery workflow, further enhancing compelling use cases such as zero trust initiatives and AI inference solutions.

As delivering applications becomes more complex, NGINX One provides simplified and centralized management that enables enterprises to innovate more quickly without compromising security or observability. Running alongside F5 Distributed Cloud Services’ growing feature set, the NGINX One Console provides SaaS-based visibility and management so customers can add security and optimization functionality with just a few clicks in an updated GUI. Previously, platform and network operations were often required to perform a series of manual tasks to configure and update instances running in different infrastructure environments.

Customers can now benefit from performance advantages across the F5 solution portfolio, putting observability, licensing, and configuration all in one place. This approach enables new app and API security and optimization capabilities to be deployed across both NGINX and Distributed Cloud Services. In addition, NGINX One provides new sets of telemetry and AI capabilities for additional insight into app performance, security, and scaling needs—including surfacing areas for improvement and providing specific recommendations.

The Latest

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 ...

AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...

F5 Launches NGINX One

F5 announced general availability of F5 NGINX One, combining advanced load balancing, web and application server capabilities, API gateway functionalities, and security features in a dedicated package.

Customers are now able to simply manage and secure F5 NGINX instances and NGINX Open Source from a single cloud management interface. End-to-end visibility speeds apps to market and enables advanced features like AI more efficiently versus a traditional siloed approach.

This new offering makes NGINX technology easier to deploy, unlocking capabilities unmatched by competitors. NGINX One consolidates formerly individual offerings such as NGINX Plus into a unified solution, leading to cost savings and simplified deployments. Via the new NGINX One Console, customers can ensure global policy compliance and establish a comprehensive view of NGINX, making it easier for organizations to do the right thing for their teams and their business.

“Successful application deployment is a team sport,” said Shawn Wormke, Vice President and General Manager for NGINX at F5. “App delivery and security functions—and corresponding visibility—are often sequestered among individual groups. NGINX One is ideal for modern, ephemeral, and cloud-native app components such as containers and Kubernetes, providing a solution that cost-effectively optimizes, scales, and secures complicated application and API environments across multiple teams.”

NGINX One improves app security and delivery for development, operations, and platform teams by making it easier to own, optimize, and govern NGINX components in any context. With the NGINX One Console, teams can broadly and easily enforce security policies across the application ecosystem, receive and implement configuration guidance, and automate version and patch updates—all helping to ensure compliance.

“The success of microservices-based and containerized applications and app components relies on the work of many separate teams,” said Jim Mercer, IDC Program Vice President, Software Development, DevOps, and DevSecOps. “NGINX One is essentially designed to make it easier to harmonize these workflows. This release marks the evolution of NGINX from primarily a development tool to a more mature enterprise-class SaaS-based solution. As a result, customers may be able to reduce certain point solutions since they can see performance and security data across the NGINX application landscape without being limited to a single Kubernetes cluster.”

Many organizations run both NGINX Plus and NGINX Open Source but have historically not had cross-team views when making changes or adding NGINX instances. NGINX One extends visibility and observability across multiple functions, enabling unified policy enforcement and ensuring that dev teams can scale apps in line with business demands. NGINX One also provides updated visualization tools to clearly monitor and present data to each team in the application delivery workflow, further enhancing compelling use cases such as zero trust initiatives and AI inference solutions.

As delivering applications becomes more complex, NGINX One provides simplified and centralized management that enables enterprises to innovate more quickly without compromising security or observability. Running alongside F5 Distributed Cloud Services’ growing feature set, the NGINX One Console provides SaaS-based visibility and management so customers can add security and optimization functionality with just a few clicks in an updated GUI. Previously, platform and network operations were often required to perform a series of manual tasks to configure and update instances running in different infrastructure environments.

Customers can now benefit from performance advantages across the F5 solution portfolio, putting observability, licensing, and configuration all in one place. This approach enables new app and API security and optimization capabilities to be deployed across both NGINX and Distributed Cloud Services. In addition, NGINX One provides new sets of telemetry and AI capabilities for additional insight into app performance, security, and scaling needs—including surfacing areas for improvement and providing specific recommendations.

The Latest

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 ...

AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...