Agentic AI with F5 BIG-IP v21 using Model Context Protocol and OpenShift
Introduction to Agentic AI Agentic AI is the capability of extending the Large Language Models (LLM) by means of adding tools. This allows the LLMs to interoperate with functionalities external to the LLM. Examples of these are the capability to search a flight or to push code into github. Agentic AI operates proactively, minimising human intervention and making decisions and adapting to perform complex tasks by using tools, data, and the Internet. This is done by basically giving to the LLM the knowledge of the APIs of github or the flight agency, then the reasoning of the LLM makes use of these APIs. The external (to the LLM) functionality can be run in the local computer or in network MCP servers. This article focuses in network MCP servers, which fits in the F5 AI Reference Architecture components and the insertion point indicated in green of the shown next: Introduction to Model Context Protocol Model Context Protocol (MCP) is a universal connector between LLMs and tools. Without MCP, it is needed that the LLM is programmed to support the different APIs of the different tools. This is not a scalable model because it requires a lot of effort to add all tools for a given LLM and for a tool to support several LLMs. Instead, when using MCP, the LLM (or AI application) and the tool only need to support MCP. Without further coding, the LLM model automatically is able to use any tool that exposes its functionalities through MCP. This is exhibit in the following figure: MCP example workflow In the next diagram it is exposed the basic MCP workflow using the LibreChat AI application as example. The flow is as follows: The AI application queries agents (MCP servers) which tools they provide. The agents return a list of the tools, with a description and parameters required. When the AI application makes a request to the AI model it includes in the request information about the tools available. When the AI model finds out it doesn´t have built-in what it is required to fulfil the request, it makes use of the tools. The tools are accessed through the AI application. The AI model composes a result with its local knowledge and the results from the tools. Out of the workflow above, the most interesting is step 1 which is used to retrieve the information required for the AI model to use the tools. Using the mcpLogger iRule provided in this article later on, we can see the MCP messages exchanged. Step 1a: { "method": "tools/list", "jsonrpc": "2.0", "id": 2 } Step 1b: { "jsonrpc": "2.0", "id": 2, "result": { "tools": [ { "name": "airport_search", "description": "Search for airport codes by name or city.\n\nArgs:\n query: The search term (city name, airport name, or partial code)\n\nReturns:\n List of matching airports with their codes", "inputSchema": { "properties": { "query": { "type": "string" } }, "required": [ "query" ], "type": "object" }, "outputSchema": { "properties": { "result": { "type": "string" } }, "required": [ "result" ], "type": "object", "x-fastmcp-wrap-result": 1 }, "_meta": { "_fastmcp": { "tags": [] } } } ] } } Note from the above that the AI model only requires a description of the tool in human language and a formal declaration of the input and output parameters. That´s all!. The reasoning of the AI model is what will make good use of the API described through MCP. The AI models will interpret even the error messages. For example, if the AI model miss-interprets the input parameters (typically because of wrong descriptor of the tool), the AI model might correct itself if the error message is descriptive enough and call the tool again with the right parameters. Of course, the MCP protocol is more than this but the above is necessary to understand the basis of how tools are used by LLM and how the magic works. F5 BIG-IP and MCP BIG-IP v21 introduces support for MCP, which is based on JSON-RPC. MCP protocol had several iterations. For IP based communication, initially the transport of the JSON-RPC messages used HTTP+SSE transport (now considered legacy) but this has been completely replaced by Streamable HTTP transport. This later still uses SSE when streaming multiple server messages. Regardless of the MCP version, in the F5 BIG-IP it is just needed to enable the JSON and SSE profiles in the Virtual Server for handling MCP. This is shown next: By enabling these profiles we automatically get basic protocol validation but more relevantly, we obtain the ability to handle MCP messages with JSON and SSE oriented events and functions. These allows parsing and manipulation of MCP messages but also the capability of doing traffic management (load balancing, rate limiting, etc...). Next it can be seen the parameters available for these profiles, which allow to limit the size of the various parts of the messages. Defaults are fine for most of the cases: Check the next links for information on iRules events and commands available for the JSON and SSE protocols. MCP and persistence Session persistence is optional in MCP but when the server indicates an Mcp-Session-Id it is mandatory for the client. MCP servers require persistence when they keep a context (state) for the MCP dialog. This means that the F5 BIG-IP must support handling this Mcp-Session-Id as well and it does by using UIE (Universal) persistence with this header. A sample iRule mcpPersistence is provided in the gitHub repository. Demo and gitHub repository The video below demonstrate 3 functionalities using the BIG-IP MCP functionalities, these are: Using MCP persistence Getting visibility of MCP traffic by logging remotely the JSON-RPC payloads of the request and response messages using High Speed Logging. Controlling which tools are allowed or blocked, and logging the allowed/block actions with High Speed Logging. These functionalities are implemented with iRules available in this GitHub repository and deployed in Red Hat OpenShift using the Container Ingress Services (CIS) controller which automates the deployment of the configuration using Kubernetes resources. The overall setup is shown next: In the next embedded video we can see how this is deployed and used. Conclusion and next steps F5 BIG-IP v21 introduces support for MCP protocol and thanks to F5 CIS these setups can be automated in your OpenShift cluster using the Kubernetes API. The possibilities of Agentic AI are infinite, thanks to MCP it is possible to extend the LLM models to use any tool easily. The tools can be used to query or execute actions. I suggest to take a look to repositories of MCP servers and realize the endless possibilities of Agentic AI: https://mcpservers.org/ https://www.pulsemcp.com/servers https://mcpmarket.com/server https://mcp.so/ https://github.com/punkpeye/awesome-mcp-servers
What's new in BIG-IP v21.0?
Introduction In November of 2025 F5 released the latest version of BIG-IP software, v21.0. This release is packed with fixes and new features that enhance the F5 Application Delivery and Security Platform (ADSP). These changes complement the Delivery, Security and Deployment aspects of the ADSP. New SSL Orchestrator Features SNI Preservation SNI (Server Name Indication) Preservation is now supported for Inbound Gateway Mode. This preserves the client’s original SNI information as traffic passes through the reverse proxy, allowing backend TLS servers to access and use this information. This enables accurate application routing and supports security workflows like threat detection and compliance enforcement. Previous software versions required custom iRules to enable this functionality. Note: SNI preservation is enabled by default. However, if you have existing Inbound Gateway Topologies, you must redeploy them for the change to take effect. iRule Control for Service Entry and Return Previously, iRules were only available on the entry (ingress) side, limiting customization to traffic entering the Inspection Service. iRule control is now extended to the return-side traffic of Inspection Services. You can now apply iRules on both sides of an Inspection Service (L2, L3, HTTP). This enhancement provides full control over traffic entering and leaving the Inspection Service, enabling more flexible, powerful, and fine-grained traffic handling. The Services page will now include configuration for iRules on service entry and iRules on service return. A typical use-case for this feature is what we call Header Enrichment. In this case, iRules are used to add headers to the payload before sending it to the Inspection Service. The headers could contain the authenticated username/group membership of the person who initiated the connection. This information can be useful for Inspection Services for either logging, policy enforcement, or both. The benefit of this feature is that the authenticated username/group membership header can be removed from the payload on egress, preventing it from being leaked to origin servers. New Access Policy Manager (APM) Features Expanded Exclusion Support for Locked Client Mode Previously, APM-locked client mode allowed a maximum of 10 exclusions, preventing administrators from adding more than 10 destinations. This limitation has now been removed, and the exclusion list can contain more than 10 entries. OAuth Authorization Server Max Claims Data Support The max claim data size is set to 8kb by default, but a large claim size can lead to excessive memory consumption. You must allocate the right amount of memory dynamically as required based on claims configuration. New Features in BIG-IP v21.0.0 Control Plane Performance and Scalability Improvements The BIG-IP 21.0.0 release introduces significant improvements to the BIG-IP control plane, including better scalability and support for large-scale configurations (up to 1 million objects). This includes MCPD efficiency enhancements and eXtremeDB scale improvements. AI Data Delivery Optimize performance and simplify configuration with new S3 data storage integrations. Use cases include secure ingestion for fine-tuning and batch inference, high-throughput retrieval for RAG and embeddings generation, policy-driven model artifact distribution with observability, and controlled egress with consistent security and compliance. F5 BIG-IP optimizes and secures S3 data ingress and egress for AI workloads. Model Context Protocol (MCP) support for AI traffic Accelerate and scale AI workloads with support for MCP that enables seamless communication between AI models, applications, and data sources. This enhances performance, secures connections, and streamlines deployment for AI workloads. F5 BIG-IP optimizes and secures S3 data ingress and egress for AI workloads. Migrating BIG-IP from Entrust to Alternative Certificate Authorities Entrust is soon to be delisted as a certificate authority by many major browsers. Following a variety of compliance failures with industry standards in recent years, browsers like Google Chrome and Mozilla made their distrust for Entrust certificates public last year. As such, Entrust certificates issued on or after November 12, 2024, are deemed insecure by most browsers. Conclusion Upgrade your BIG-IP to version 21.0 today to take advantage of these fixes and new features that enhance the F5 Application Delivery and Security Platform (ADSP). These changes complement the Delivery, Security and Deployment aspects of the ADSP. Related Content SSL Orchestrator Release Notes BIG-IP Release Notes BLOG F5 BIG-IP v21.0: Control plane, AI data delivery and security enhancements Press Release F5 launches BIG-IP v21.0 Introduction to BIG-IP SSL OrchestratorF5 NGINX Plus R36 Release Now Available
We’re thrilled to announce the availability of F5 NGINX Plus Release 36 (R36). NGINX Plus R36 adds advanced capabilities like an HTTP CONNECT forward proxy, richer OpenID Connect (OIDC) abilities, expanded ACME options, and new container images packaged with popular modules. In addition, NGINX Plus inherits all the latest capabilities from NGINX Open Source, the only all-in-one software web server, load balancer, reverse proxy, content cache, and API gateway. Here’s a summary of the most important updates in R36: HTTP CONNECT Forward Proxy NGINX Plus can now tunnel HTTP traffic via the HTTP CONNECT method, making it easy to centralize egress policies through a trusted NGINX Plus server. Advanced features enable capabilities that limit proxied traffic to specific origin clients, ports, or destination hosts and networks. Native OIDC Support for PKCE, Front-Channel Logout, and POST Client Authentication We’ve made additional enhancements to the popular OpenID Connect module by adding support for PKCE enforcement, the ability to log out of all applications a client was signed in to, and support for authenticating the OIDC client using the client_secret_post method. ACME Enhancements for Certificate Automation Certificate automation capabilities are more powerful than ever, as we continue to make improvements to the ACME (Automatic Certificate Management Environment) module. New features include support for the TLS-ALPN-01 challenge method, the ability to select a specific certificate chain, IP-based certificates, ACME profiles, and external account bindings. TLS Certificate Compression High-volume or high-latency connections can now benefit from a new capability that optimizes TLS handshakes by compressing certificates and associated CA chains. Container Images with Popular Modules Container images now include our most popular modules, making it even easier to deploy NGINX Plus in container environments. Alongside the previously included njs module, images now ship with the ACME, OpenTelemetry Tracing, and Prometheus Exporter modules. Key features inherited from NGINX Open Source include: Support for 0-RTT in QUIC Inheritance control for headers and trailers Support for OpenSSL 3.5 New Features in Detail HTTP CONNECT Forward Proxy NGINX Plus R36 adds native HTTP CONNECT support via a new ngx_http_tunnel_module that enables NGINX Plus to operate as a forward proxy for outbound HTTP/HTTPS traffic. You can restrict clients, ports, and hosts, as well as which networks are reachable via centralized egress policies. This new capability allows you to monitor outbound connections through one or more NGINX Plus instances instead of relying on separate proxy products or DIY open source projects. Why it matters Enforces consistent egress policies without introducing another proxy to your stack. Centralizes proxy rules and threat monitoring for outbound connections. Reduces the need for custom modules or sidecar proxies to tunnel outbound TLS. Who it helps Platform and network teams that must route all outbound traffic through a controlled proxy. Security teams that want a single place to enforce and audit egress rules. Operators consolidating L7 functions (inbound and outbound) on NGINX Plus. The following is a sample forward proxy configuration that filters ports, destination hosts and networks. Note the requirement to specify a DNS resolver. For simplicity, we've configured a popular, publicly available DNS. However, doing so is not recommended for certain production environments, due to access limitations and unpredictable availability. num_map $request_port $allowed_ports { 443 1; 8440-8445 1; } geo $upstream_last_addr $allowed_nets { 52.58.199.0/24 1; 3.125.197.172/24 1; } map $host $allowed_hosts { hostnames; nginx.org 1; *.nginx.org 1; } server { listen 3128; resolver 1.1.1.1; # unsafe tunnel_allow_upstream $allowed_nets $allowed_ports $allowed_hosts; tunnel_pass; } Native OpenID Connect Support for PKCE, Front-Channel Logout, and POST Client Authentication R36 extends the native OIDC features introduced in R34 with PKCE enforcement, front-channel logout, and support for authenticating clients via the client_secret_post method. PKCE for authorization code flow can now be auto-enabled for a configured Identity Provider when S256 is advertised for “code_challenge_methods_supported” in federated metadata. Alternatively, it can be explicitly toggled with a simple directive: pkce on; # force PKCE even if the OP does not advertise it pkce off; # disable PKCE even if the OP advertises S256 A new front-channel logout endpoint lets an Identity Provider trigger a browser-based sign-out of all applications that a client is signed in to. oidc_provider okta_app { issuer https://dev.okta.com/oauth2/default; client_id <client_id>; client_secret <client_secret>; logout_uri /logout; logout_token_hint on; frontchannel_logout_uri /front_logout; userinfo on; } Support for client_secret_post improves compatibility with identity providers that require POST-based client authentication per OpenID Connect Core 1.0. Why it matters Brings NGINX Plus in line with modern identity provider expectations that treat PKCE as a best practice for all authorization code flows. Enables reliable logout across multiple applications from a single identity provider trigger. Makes NGINX Plus easier to integrate with providers that insist on POST-based client authentication. Who it helps Identity access management and security teams standardizing on OIDC and PKCE. Application and API owners who need consistent login and logout behavior across many services. Architects integrating with cloud identity providers (Entra ID, Okta, etc.) that require specific OIDC patterns. ACME Enhancements for Certificate Automation Building on the ACME support shipped in our previous release, NGINX Plus R36 incorporates new features from the nginx acme project, including: TLS-ALPN-01 challenge support Selection of a specific certificate chain IP-based certificates ACME profiles External account bindings These capabilities align NGINX Plus with what is available in NGINX Open Source via the ngx_http_acme_module. Why it matters Lets you keep more of the certificate lifecycle inside NGINX instead of relying on external tooling. Makes it easier to comply with CA policies and organizational PKI standards. Supports more complex environments such as IP-only endpoints and specific chain requirements. Who it helps SRE and platform teams running large fleets that rely on automated certificate renewal. Security and PKI teams that need tighter control over certificate chains, profiles, and CA bindings. Operators who want to standardize on a single ACME implementation across NGINX Plus and NGINX Open Source. TLS Certificate Compression TLS certificate compression introduced in NGINX Open Source 1.29.1 is now available in NGINX Plus R36. The ssl_certificate_compression directive controls certificate compression during TLS handshakes, which remains off by default and must be explicitly enabled. Why it matters Reduces the size of TLS handshakes when certificate chains are large. Can optimize performance in high connection volume or high-latency environments. Offers incremental performance optimization without changing application behavior. Who it helps Performance-focused operators running services with many short-lived TLS connections. Teams supporting mobile or high-latency clients where every byte in the handshake matters. Operators who want to experiment with handshake optimizations while retaining control via explicit configuration. Container Images with Popular Modules Included Finally, NGINX Plus R36 introduces container images that bundle NGINX Plus with commonly requested first-party modules such as OpenTelemetry (OTel) Tracing, ACME, Prometheus Exporter, and NGINX JavaScript (njs). Options include images with or without F5 NGINX Agent and those running NGINX in privileged or unprivileged mode. Additionally, a slim NGINX Plus–only image will be made available for teams who prefer to build bespoke custom containers. Additional Enhancements Available in NGINX Plus R36 Upstream-specific request headers Dynamically assigned proxy_bind pools Changes Inherited from NGINX Open Source NGINX Plus R36 is based on the NGINX 1.29.3 mainline release and inherits all functional changes, features, and bug fixes made since NGINX Plus R35 was released (which was based on the 1.29.0 mainline release). For the full list of new changes, features, bug fixes, and workarounds inherited from recent releases, see the NGINX changes . Changes to Platform Support Added Platforms Support for the following platforms has been added: Debian 13 Rocky Linux 10 SUSE Linux Enterprise Server 16 Removed Platforms Support for the following platforms has been removed: Alpine Linux 3.19 – Reached End of Support in November 2025 Deprecated Platforms Support for the following platforms will be removed in a future release: Alpine Linux 3.20 Important Warning NGINX Plus is built on the latest minor release of each supported operating system platform. In many cases, the latest revisions of these operating systems are adapting their platforms to support OpenSSL 3.5 (e.g. RHEL 9.7 and 10.1). In these situations, NGINX Plus requires that OpenSSL 3.5.0 or later is installed for proper operation. F5 NGINX in F5’s Application Delivery & Security Platform NGINX One is part of F5’s Application Delivery & Security Platform. It helps organizations deliver, improve, and secure new applications and APIs. This platform is a unified solution designed to ensure reliable performance, robust security, and seamless scalability for applications deployed across cloud, hybrid, and edge architectures. NGINX One is the all-in-one, subscription-based package that unifies all of NGINX’s capabilities. NGINX One brings together the features of NGINX Plus, F5 NGINX App Protect, and NGINX Kubernetes and management solutions into a single, easy-to-consume package. NGINX Plus, a key component of NGINX One, adds features to NGINX Open Source that are designed for enterprise-grade performance, scalability, and security. Follow this guide for more information on installing and deploying NGINX Plus R36 or NGINX Open Source.Extend visibility - BIG-IP joins forces with CrowdStrike
Introduction The traditional focus in cybersecurity has prioritized endpoints like laptops and mobiles with EDR, as they are key entry points for intrusions. Modern threats target the full network infrastructure, like routers, ADCs, firewalls, servers, VMs, and cloud instances, as interconnected endpoints. All network software is a potential target in today’s sprawling attack surface. Summarizing some of those blind points below, Servers, including hardware, VMs, and cloud instances: Often under-monitored, rapid spin-up creates ephemeral risks for exfiltration and lateral movement. Network appliances: Enable traffic redirection, data sniffing, or backdoors, if compromised. Application delivery components: Vulnerable to session hijacking, code injection, or DDoS, due to high-traffic processing. Falcon sensor integration In this section, we go through download and installation steps, and observe how the solution works with detecting/blocking malicious packages. For more information, follow our KB articles, https://my.f5.com/manage/s/article/K000157015 Related content K000157015: Getting Started with Falcon sensor for BIG-IP K000156881: Install Falcon sensor for BIG-IP on the BIG-IP system K000157014: F5 Support for Falcon for BIG-IP https://www.f5.com/partners/technology-alliances/crowdstrike
Introducing F5 WAF for NGINX with Intuitive GUI in NGINX One Console and NGINX Instance Manager
F5 WAF for NGINX (formerly NGINX App Protect WAF) now has an intuitive, GUI-based policy management experience within NGINX One Console and NGINX Instance Manager. It’s easier than ever to streamline security operations and reduce false positives and false negatives. Important Changes! This product release unites the latest version of F5 WAF for NGINX with NGINX One Console and NGINX Instance Manager to deliver major enhancements empowering SecOps teams. New and enhanced capabilities for F5 WAF for NGINX users include: A GUI for WAF Policy Management A modern, wizard-driven UI debuts in NGINX One Console and NGINX Instance Manager, for F5 WAF for NGINX. The initial phases of the new UI focus on foundational tasks for SecOps workflows, which will be followed by subsequent phases supporting additional advanced capabilities to mitigate false positives and false negatives. The current release delivers GUI based attack mitigation workflows that provide: Enabling or disabling signature sets for fast but broad categories of attacks Enabling or disabling signatures for a specific attack type Enabling or disabling signatures and defining actions for a specific user-defined URL, cookie, or parameter A New Name NGINX App Protect is now F5 WAF for NGINX and F5 DoS for NGINX. This is the first product rename to align with F5’s unified platform, enabling security for any app and API, anywhere. Any prior or historical articles, blogs, and other materials will remain unchanged. While the name has changed, all product functionality, code, and configurations remain intact, ensuring a seamless experience for customers. Only branding changes – from NGINX App Protect to F5 WAF for NGINX – have been made to documentation and materials to ensure that no breaking changes have been implemented. Existing workflows remain fully compatible. Upgrading also remains seamless. Users may move from v4.x (e.g. v4.16) to F5 WAF for NGINX v5.9, just as in prior version upgrades. Version Alignment Both packaged and containerized versions of F5 WAF for NGINX now share a single version label for this release: v5.9. This eliminates confusion, simplifies deployments, and ensures consistency across form factors. Additional information is available in the F5 WAF for NGINX 5.9 release notes. Documentation Update F5 WAF for NGINX and F5 DoS for NGINX now feature a completely redesigned documentation experience. Monolithic configuration pages have been replaced with streamlined, logically organized sections, making content easier to navigate, consume, and contribute for faster adoption and collaboration. For more details, refer to the F5 WAF for NGINX docs. Operations Simplification in Kubernetes (EA) This is an ‘Early Availability’ feature for limited customers in the F5 WAF for NGINX v5.9 release for NGINX Plus. This capability removes the need for custom policy compilation workflows. Users can now update policies directly – fully Kubernetes-native with support for JSON, YAML, and Bundle formats, streamlining security operations for modern environments. In future releases, this capability will also extend to NGINX Ingress Controller. For more details, refer to the NGINX docs. Please note that F5 WAF for NGINX v5.9 is a standard release, and upgrading to this version is at the customer’s option. Also, signature updates will continue for NGINX App Protect WAF v4.x customers under the current policy. GUI Eases Implementing Best Practices for WAF Workflows Start in Detection Mode Deploy signature sets in Transparent mode initially to analyze traffic patterns without blocking legitimate requests. This approach allows teams to identify false positives before switching to Block mode. Granular Exception Strategy Rather than broad exclusions that weaken security, implement targeted exceptions that address specific false positive scenarios while maintaining protection elsewhere. Continuous Monitoring and Adjustment Security teams should regularly review WAF logs to identify new false-positive patterns and adjust signature sets accordingly. WAF signatures are updated regularly, requiring ongoing tuning. Enable or disable signature sets for fast but broad categories of attacks. Enabling or disabling signatures for a specific attack type Enabling or disabling signatures and defining actions for a specific user-defined URL, cookie, or parameter The key to effective WAF deployment lies in precise tuning through signature sets and targeted exceptions, ensuring robust protection without disrupting business operations. Releases F5 WAF for NGINX v5.9 (formerly NGINX App Protect WAF) released in September 2025. The complete changelog details are here. F5 DoS for NGINX (formerly NGINX App Protect DoS) documentation update is here. There has been no new release of this package. NGINX One Console, with the GUI supporting the new workflows, will be released in early October 2025. Find all the latest additions to the NGINX One Console in the changelog here. NGINX Instance Manager with the GUI supporting the new workflows will be coming soon (November 2025).How I did it - "High-Performance S3 Load Balancing of Dell ObjectScale with F5 BIG-IP"
As AI and data-driven workloads grow, enterprises need scalable, high-performance, and resilient storage. Dell ObjectScale delivers with its cloud-native, S3-compatible design, ideal for AI/ML and analytics. F5 BIG-IP LTM and DNS enhance ObjectScale by providing intelligent traffic management and global load balancing—ensuring consistent performance and availability across distributed environments. This article introduces Dell ObjectScale and its integration with F5 solutions for advanced use cases.Secure Extranet with Equinix Fabric and F5 Distributed Cloud
Why: The Challenge of Building a Secure Extranet Establishing a secure extranet that spans multiple clouds, partners, and enterprise locations is inherently complex. Organizations face several persistent challenges: Technology Fragmentation: Different clouds, vendors, and networking stacks introduce inconsistency and integration friction. Endpoint Proliferation: Each new partner or cloud region adds more endpoints to secure and manage. Configuration Drift: Manual or siloed configurations across environments increase the risk of misalignment and security gaps. Security Exposure: Without centralized control, enforcing consistent policies across environments is difficult, increasing the attack surface. Operational Overhead: Managing disparate systems and connections strains NetOps, DevOps, and SecOps teams. These challenges make it difficult to scale securely and efficiently, especially when onboarding new partners or deploying applications globally. What: A Unified, Secure, and Scalable Extranet Solution The joint solution from F5 and Equinix addresses these challenges by combining: F5® Distributed Cloud Customer Edge (CE): A virtualized network and security node deployed via Equinix Network Edge. Equinix Fabric®: A software-defined interconnection platform that provides private, high-performance connectivity between clouds, partners, and enterprise locations. Together, they create a strategic point of control at the edge of your enterprise network. This enables secure, scalable, and policy-driven connectivity across hybrid and multi-cloud environments. This solution: Simplifies deployment by eliminating physical infrastructure dependencies. Centralizes policy enforcement across all connected environments. Accelerates partner onboarding with pre-integrated, software-defined connectors. Reduces risk by isolating traffic and enforcing consistent security policies. How: Architectural Overview At the heart of the architecture is the F5 Distributed Cloud CE, deployed as a virtual network function (VNF) on Equinix Network Edge. This CE: Acts as a gateway node for each location (cloud, data center, or partner site). Connects to other CEs via F5’s global private backbone, forming a secure service mesh. Integrates with F5 Distributed Cloud Console for centralized orchestration, visibility, and policy management. The CE node(s) are interconnected to partners, vendors, etc. using Equinix Fabric, which provides: Private, low-latency interconnects to major cloud providers (AWS, Azure, GCP, OCI). Software-defined routing via Fabric Cloud Router. Tier-1 internet access for hybrid workloads. This architecture enables a hub-and-spoke or full-mesh extranet topology, depending on business needs. Key Tenets of the Solution Strategic Point of Control The CE becomes the enforcement point for traffic inspection, segmentation, and policy enforcement—across all clouds and partners. Unified Management F5 Distributed Cloud Console provides a single pane of glass for managing networking, security, and application delivery policies. Zero-Trust Connectivity Built-in support for mutual TLS, IPsec, and SSL tunnels ensures encrypted, authenticated communication between nodes. Rapid Partner Onboarding Equinix’s Fabric and F5 CE connectors allow new partners to be onboarded in minutes, not weeks. Operational Efficiency Automation hooks (GitOps, Terraform, APIs) reduce manual effort and configuration drift. Private interconnects and regional CE deployments help meet regulatory requirements. Additional Links F5 and Equinix Partnership The Business Partner Exchange - An F5 Distributed Cloud Services Demonstration Equinix Fabric Overview Additional Equinix and F5 partner informationAnnouncing Unovis 1.6
Version 1.6 of Unovis is here! This is one of our most feature-packed releases yet. It brings exciting new components, enhanced graph functionality, improved axis customization, and numerous quality of-life improvements. To see the full list of updates, please look at our release note on githubF5 NGINX Plus R35 Release Now Available
We’re excited to announce the availability of F5 NGINX Plus Release 35 (R35). Based on NGINX Open Source, NGINX Plus is the only all-in-one software web server, load balancer, reverse proxy, content cache, and API gateway. New and enhanced features in NGINX Plus R35 include: ACME protocol support: This release introduces native support for Automated Certificate Management Environment (ACME) protocol in NGINX Plus. The ACME protocol automates SSL/TLS certificate lifecycle management by enabling direct communication between clients and certificate authorities for issuance, installation, revocation, and replacement of SSL certificates. Automatic JWT Renewal and Update: This capability simplifies the NGINX Plus renewal experience by automating the process of updating the license JWT for F5 NGINX instances communicating directly with the F5 licensing endpoint for license reporting. Native OIDC Enhancements: This release includes additional enhancements to the Native OpenID connect module, adding support for Relying party (RP) initiated Logout and UserInfo endpoint for streamlining authentication workflows. Support for Early Hints: NGINX Plus R35 introduces support for Early Hints (HTTP 103), which optimizes website performance by allowing browsers to preload resources before the final server response, reducing latency and accelerating content display. QUIC – CUBIC Congestion Control: With R35, we have extended support for congestion algorithms in our HTTP3/QUIC implementation to also support CUBIC which provides better bandwidth utilization resulting in quicker load times and faster downloads. NGINX Javascript QuickJS - Full ES2023 support: With this NGINX Plus release, we now support full ES2023 JavaScript specification for QuickJS runtime for your custom NGINX scripting and extensibility needs using NGINX JavaScript. Changes to Platform Support NGINX Plus R35 introduces the following updates to the NGINX Plus technical specification. Added Platforms: Support for the following platforms has been added with this release Alpine Linux 3.22 RHEL 10 Removed Platforms: Support for the following platforms has been removed starting this release. Alpine Linux 3.18 – Reached End of Support in May 2025 Ubuntu 20.04 (LTS) – Reached End of support in May 2025 Deprecated Platforms: Alpine Linux 3.19 Note: For SUSE Linux Enterprise Server (SLES) 15, SP6 is now the required service pack version. The older service packs have been EOL’ed by the vendor and are no longer supported. New Features In Details ACME Protocol Support The ACME protocol (Automated Certificate Management Environment) is a communications protocol primarily designed to automate the process of issuing, validating, renewing, and revoking digital security certificates (e.g., TLS/SSL certificates). It allows clients to interact with a Certificate Authority (CA) without requiring manual intervention, simplifying the deployment of secure websites and other services that rely on HTTPS. With the NGINX Plus R35 release, we are pleased to announce the preview release of native ACME support in NGINX. ACME support is available as a Rust-based dynamic module for both NGINX Open Source, as well as enterprise F5 NGINX One customers using NGINX Plus. Native ACME support greatly simplifies and automates the process of obtaining and renewing SSL/TLS certificates. There’s no need to track certificate expiration dates and manually update or review configs each time an update is needed. With this support, NGINX can now directly communicate with ACME-compatible Certificate Authorities (CAs) like Let's Encrypt to handle certificate management without requiring external plugins like certbot, cert-manager, etc or ongoing manual intervention. This reduces complexity, minimizes operational overhead, and streamlines the deployment of encrypted HTTPS for websites and applications while also making the certificate management process more secure and less error prone. The implementation introduces a new module ngx_http_acme_module providing built-in directives for requesting, installing, and renewing certificates directly from NGINX configuration. The current implementation supports HTTP-01 challenge with support for TLS-ALPN and DNS-01 challenges planned in future. For a detailed overview of the implementation and the value it brings, refer the ACME blog post. To get step by step instructions on how to configure ACME in your environment, refer to NGINX docs. Automatic JWT Renewal and Update This feature enables the automatic update of the JWT license for customers reporting their usage directly to the F5 licensing endpoint (product.connect.nginx.com) post successful renewal of the subscription. The feature applies to subscriptions nearing expiration (within 30 days) as well as subscriptions that have expired, but remain within the 90-day grace period. Here is how this feature works: Starting 30 days prior to JWT license expiration, NGINX Plus will notify the licensing endpoint server of JWT license expiration as part of the automatic usage reporting process. The licensing endpoint server will continually check for a renewed NGINX One subscription with F5 CRM system. Once the subscription is successfully renewed, the F5 licensing endpoint server will send the updated JWT to corresponding NGINX Plus instance. NGINX Plus instance in turn will automatically deploy the renewed JWT license to the location based on your existing configuration without the need for any NGINX reload or service restart. Note: The renewed JWT file received from F5 is named nginx-mgmt-license and is located at the state_path location on your NGINX instance. For more details, refer to NGINX docs. Native OpenID Connect Module Enhancements The NGINX Plus R34 release introduced native support for OpenID Connect (OIDC) authentication. Continuing the momentum, we are excited to add support for OIDC Relying Party (RP) Initiated Logout along with support for retrieving claims via the OIDC UserInfo endpoint in this release. Relying Party (RP) Initiated Logout RP-Initiated Logout is a method used in federated authentication systems (e.g., systems using OpenID Connect (OIDC) or Security Assertion Markup Language (SAML)) to allow a user to log out of an application (called the relying party) and propagate the logout request to other services in the authentication ecosystem, such as the identity provider (IdP) and other sessions tied to the user. This facilitates session synchronization and clean-up across multiple applications or environments. The RP-Initiated Logout support in NGINX OIDC native module helps provide a seamless user experience by enhancing the consistency of authentication and logout workflows, particularly in Single Sign-On (SSO) environments. It significantly helps improve security by ensuring user sessions are terminated securely thereby reducing the risk of unauthorized access. It also simplifies the development processes by minimizing the need for custom coding and promoting adherence to best practices. Additionally, it strengthens user privacy and supports compliance efforts enabling users to easily terminate sessions, thereby reducing the exposure from lingering session. The implementation involves the client (browser) initiating a logout by sending a request to the relying party's (NGINX) logout endpoint. NGINX(RP) adds additional parameters to the request and redirects it to the IdP, which terminates the associated user session and redirects the client to the specified post_logout_uri. Finally, NGINX as the relying party presents a post-logout confirmation page, signaling the completion of the logout process and ensuring session termination across both the relying party and the identity provider. UserInfo Retrieval Support The OIDC UserInfo endpoint is used by applications to retrieve profile information about the authenticated Identity. Applications can use this endpoint to retrieve profile information, preferences and other user-specific information to ensure a consistent user management process. The support for UserInfo endpoint in the native OIDC module provides a standardized mechanism to fetch user claims from Identity Providers (IdPs) helping simplify the authentication workflows and reducing overall system complexity. Having a standard mechanism also helps define and adopt development best practices across client applications for retrieving user claims offering tremendous value to developers, administrators, and end-users. The implementation enables the RP (nginx) to call an identity provider's OIDC UserInfo endpoint with the access token (Authorization: Bearer) and obtain scope-dependent End-user claims (e.g., profile, email, scope, address). This provides the standard, configuration-driven mechanism for claim retrieval across client applications and reduces integration complexity. Several new directives (logout_uri, post_logout_uri, logout_token_hint, and userinfo) have been added to the ngx_http_oidc_module to support both these features. Refer to our technical blog on how NGINX Plus R35 offers frictionless logout and UserInfo retrieval support as part of the native OIDC implementation for a comprehensive overview of both of these features and how they work under the hood. For instructions on how to configure the native OIDC module for various identity providers, refer the NGINX deployment guide. Early Hints Support Early Hints (RFC 8297) is a HTTP status code to improve website performance by allowing the server to send preliminary hints to the client before the final response is ready. Specifically, the server sends a 103 status code with headers indicating which resources (like CSS, JavaScript, images) the client can pre-fetch while the server is still working on generating the full response. Majority of the web browsers including Chrome, Safari and Edge support it today. A new NGINX directive early_hints has been added to specify the conditions under which backends can send Early Hints to the client. NGINX will parse the Early Hints from the backend and send them to the client. The following example shows how to proxy Early Hints for HTTP/2 and HTTP/3 clients and disable them for HTTP/1.1 early_hints $http2$http3; proxy_pass http://bar.example.com; For more details, refer NGINX docs and a detailed blog on Early Hints support in NGINX. QUIC – Support for CUBIC Congestion Control Algorithm CUBIC is a congestion control algorithm designed to optimize internet performance. It is widely used and well-tested in TCP implementations and excels in high-bandwidth and high-delay networks by efficiently managing data transmission ensuring faster speeds, rapid recovery from congestion, and reduced latency. Its adaptability to various network conditions and fair resource allocation makes it a reliable choice for delivering a smooth and responsive online experience and enhance overall user satisfaction. We announced support for CUBIC congestion algorithm in NGINX open source mainline version 1.27.4. All the bug fixes and enhancements since then are being merged into NGINX Plus R35. For a detailed overview of the implementation, refer to our blog on the topic. NGINX Javascript QuickJS - Full ES2023 support We introduced preview support for QuickJS runtime in NGINX JavaScript(njs) version 0.8.6 in the NGINX Plus R33 release. We have been quietly focused on this initiative since and are pleased to announce full ES2023 JavaScript specification support in NGINX JavaScript(njs) version 0.9.1 with NGINX Plus R35 release. With full ES2023 specification support, you can now use the latest JavaScript features that modern developers expect as standard to extend NGINX capabilities using njs. Refer to this detailed blog for a comprehensive overview of our QuickJS implementation, the motivation behind QuickJS runtime support and where we are headed with NGINX JavaScript. For specific details on how you can leverage QuickJS in your njs scripts, please refer to our documentation. Other Enhancements and Bug Fixes Variable based Access Control Support To enable robust access control using identity claims, R34 and earlier versions required a workaround involving the auth_jwt_require directive. This involved reprocessing the ID token with the auth_jwt module to manage access based on claims. This approach introduced configuration complexity and performance overhead. With R35, NGINX simplifies this process through the auth_require directive, which allows direct use of claims for resource-based access control without relying on auth_jwt. This directive is part of a new module ngx_http_auth_require_module added in this release. For ex, the following NGINX OIDC configuration maps the role claim from the id_token to $admin_role variable and sets it to 1 if the user’s role is “admin”. The /location block then uses auth_require $admin_role to restrict access, allowing only the users with admin role to proceed. http { oidc_provider my_idp { ... } map $oidc_claim_role $admin_role { "admin" 1; } server { auth_oidc my_idp; location /admin { auth_require $admin_role; } } } Though the directive is not exclusive to OIDC, when paired with auth_oidc, it provides a clean and declarative Role-Based Access Control (RBAC) mechanism within the server configuration. For example, you can easily configure access so only admins reach the /admin location, while either admins or users with specific permissions access other locations. The result is streamlined, efficient, and practical access management directly in NGINX. Note that the new auth_require directive does not replace auth_jwt_require as the two serve distinct purposes. While auth_jwt_require is an integral part of JWT validation in the JWT module focusing on headers and claims checks, auth_require operates in a separate ACCESS phase for access control. Deprecating auth_jwt_require would reduce flexibility, particularly in "satisfy" modes of operation, and complicate configurations. Additionally, auth_jwt_require plays a critical role in initializing JWT-related variables, enabling their use in subrequests. This initialization, crucial for JWE claims, cannot be done via REWRITE module directives as JWE claims are not available before JWT decryption. Support for JWS RSASSA-PSS algorithms: RSASSA-PSS algorithms are used for verifying the signatures of JSON Web Tokens (JWTs) to ensure their authenticity and integrity. In NGINX, these algorithms are typically employed via the auth_jwt_module when validating JWTs signed using RSASSA-PSS. We are adding support for following algorithms as specified in RFC 7518 (Section 3.5): PS256 PS384 PS512 Improved Node Outage Detection and Logging This release also introduces improvements in the timeout handling for zone_sync connections enabling faster detection of offline nodes and reducing counter accumulation risks. This improvement is aimed at improving synchronization of nodes in a cluster and early detection of failures improving system’s overall performance and reliability. Additional heuristics are added to detect blocked workers to proactively address prolonged event loop times. License API Updates NGINX license API endpoint now provides additional information. The “uuid” parameter in the license information is now available via the API endpoint. Changes Inherited from NGINX Open Source NGINX Plus R35 is based on NGINX 1.29.0 mainline release and inherits all functional changes, features, and bug fixes made since NGINX Plus R34 was released (which was based on 1.27.4 mainline release). Features: Early Hints support - support for response code 103 from proxy and gRPC backends; CUBIC congestion control algorithm support in QUIC connections. Loading of secret keys from hardware tokens with OpenSSL provider. Support for the "so_keepalive" parameter of the "listen" directive on macOS. Changes: The logging level of SSL errors in a QUIC handshake has been changed from "error" to "crit" for critical errors, and to "info" for the rest; the logging level of unsupported QUIC transport parameters has been lowered from "info" to "debug". Bug Fixes: nginx could not be built by gcc 15 if ngx_http_v2_module or ngx_http_v3_module modules were used. nginx might not be built by gcc 14 or newer with -O3 -flto optimization if ngx_http_v3_module was used. In the "grpc_ssl_password_file", "proxy_ssl_password_file", and "uwsgi_ssl_password_file" directives when loading SSL certificates and encrypted keys from variables; the bug had appeared in 1.23.1. In the $ssl_curve and $ssl_curves variables when using pluggable curves in OpenSSL. nginx could not be built with musl libc. Bugfixes and performance improvements in HTTP/3. Security: (CVE-2025-53859) SMTP Authentication process memory over-read: This vulnerability in the NGINX ngx_mail_smtp_module may allow an unauthenticated attacker to trigger buffer over-read resulting in worker process memory disclosure to the authentication server. For the full list of new changes, features, bug fixes, and workarounds inherited from recent releases, see the NGINX changes . Changes to the NGINX Javascript Module NGINX Plus R35 incorporates changes from the NGINX JavaScript (njs) module version 0.9.1. The following is a list of notable changes in njs since 0.8.9 (which was the version shipped with NGINX Plus R34). Features: Added support for the QuickJS-NG library. Added support for WebCrypto API, FetchAPI, TextEncoder and TextDecoder, querystring module, crypto module and xml module for the QuickJS engine. Added state file for a shared dictionary. Added ECDH support for WebCrypto. Added support for reading r.requestText or r.requestBuffer from a temporary file. Improvements: Performance improvements due to refactored handling of built-in strings, symbols, and small integers Multiple memory usage improvements improved reporting of unhandled promise rejections. Bug Fixes: Fixed segfault in njs_property_query(). The issue was introduced in b28e50b1 (0.9.0). Fixed Function constructor template injection. Fixed GCC compilation with O3 optimization level. Fixed constant is too large for 'long' warning on MIPS -mabi=n32. Fixed compilation with GCC 4.1. Fixed %TypedArray%.from() with the buffer is detached by the mapper. Fixed %TypedArray%.prototype.slice() with overlapping buffers. Fixed handling of detached buffers for typed arrays. Fixed frame saving for async functions with closures. Fixed RegExp compilation of patterns with escaped '[' characters. Fixed handling of undefined values of a captured group in RegExp.prototype[Symbol.split](). Fixed GCC 15 build error with -Wunterminated-string-initialization. Fixed name corruption in variables and headers processing. Fixed incr() method of a shared dictionary with an empty init argument for the QuickJS engine. Bugfix: accepting response headers with underscore characters in Fetch API. Fixed Buffer.concat() with a single argument in QuickJS. Bugfix: added missed syntax error for await in template literal. Fixed non-NULL terminated strings formatting in exceptions for the QuickJS engine. Fixed compatibility with recent change in QuickJS and QuickJS-NG. Fixed serializeToString(). Previously, serializeToString() was exclusiveC14n() which returned a string instead of Buffer. According to the published documentation, it should be c14n() For a comprehensive list of all the features, changes, and bug fixes, see the njs Changelog. F5 NGINX in F5’s Application Delivery & Security Platform NGINX One is part of F5’s Application Delivery & Security Platform. It helps organizations deliver, improve, and secure new applications and APIs. This platform is a unified solution designed to ensure reliable performance, robust security, and seamless scalability for applications deployed across cloud, hybrid, and edge architectures. NGINX One is the all-in-one, subscription-based package that unifies all of NGINX’s capabilities. NGINX One brings together the features of NGINX Plus, F5 NGINX App Protect, and NGINX Kubernetes and management solutions into a single, easy-to-consume package. NGINX Plus, a key component of NGINX One, adds features to open-source NGINX that are designed for enterprise-grade performance, scalability, and security. Ready to try the new release? Follow this guide for more information on installing and deploying NGINX Plus.
