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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.

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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 ...

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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 ...

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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 ...

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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

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 ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.