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
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 ...
When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...