Explore NGINX One, an all-in-one platform that integrates the best of NGINX's offerings into a unified package that includes a cloud-based dashboard and access to F5 Distributed Cloud. Customers get advanced load balancing, web and application server capabilities, API gateway functionalities, and security features. The goal of NGINX One is to provide unparalleled performance, security, and scalability for modern applications, whether they are deployed in the cloud, on-premises, or in hybrid environments.

This lab will provide access to an Openshift cluster running the F5 AI Gateway solution. We will walk through how the F5 AI Gateway routes requests to different models by either allowing them to pass through or, more importantly, securing them via prompt injection checking. We have also added a couple of other tests that will allow for language detection of that input that the F5 AI Gateway can also detect.

Welcome to WWT's F5 Terraform Automation Lab. The intended goal of this lab is to introduce and enable F5 administrators to utilize Terraform to automate, simplify and streamline the deployment of F5 services.

This lab will provide access to an Openshift cluster running the F5 AI Gateway solution. We will walk through how the F5 AI Gateway routes requests to different models by either allowing them to pass through or, more importantly, securing them via prompt injection checking. We have also added a couple of other tests that will allow for language detection of that input that the F5 AI Gateway can also detect.

This lab focuses on using Ansible to efficiently manage F5 BigIP configurations. It covers setting up the development environment, working with Ansible inventory, creating playbooks for automating tasks on F5 BigIP devices, deploying configuration changes, and a bonus challenge of setting up an Active/Standby configuration and performing configuration synchronization. The lab aims to provide participants with hands-on experience in automating F5 BigIP configuration management using Ansible.

In today's cloud-centric, BYOD-driven and distributed microservices landscape, traditional security measures such as VPNs and perimeter defenses struggle to keep pace with the increasing need for enterprise security. Implicitly trusting entities within a network poses significant risks, necessitating a paradigm shift. Enter Zero Trust—an approach that requires independent security for every enterprise asset and authenticates and authorizes user and process identities at every level. This lab explores the critical role of OAuth in enabling a Zero Trust architecture and allows lab users to implement & test the OAuth Solution.

F5 Distributed Cloud WAF deployed on Regional Edge and App Connect Deployment mode. This deployment model offers an optimal solution for scenarios where backend applications are inaccessible from the internet, lacking a Fully Qualified Domain Name (FQDN) or Public IP. In this case Customer Edge sites can be deployed to connect these "private" customer sites to the XC Global Network via IPSEC tunnels opened from Distributed Cloud Customer Edges to the closes two REs sites. Distributed Cloud WAF is deployed on the Regional Edges, where the services are being advertised to the Internet through anycast IPs. Customer Edges are being deployed on the customer sites and connect to the closest RE and traffic will be inspected by the WAAF security policy. The traffic will then be forwarded across the distributed cloud global network towards an egress Regional Edge and then over an IPSEC tunnel to the Customer edge site where it will be forwarded to the backend applications as pure IP-based traffic.

This WWT Lab will provide a hand on experience of F5 Distributed Cloud WAF deployed on Regional Edge in deployment mode. This deployment mode is better suited when protecting backend applications which are already public accessible from the internet via FQDN or Public IP. F5 Distributed Cloud WAF is deployed on the Regional Edges, where the services are being advertised to the internet through anycast IPs. The end users will connect to their closest Regional Edge and the traffic will be inspected by the WAF security policy. The traffic will then be forwarded across the XC Global Network towards an egress Regional Edge and then towards the customer site as regular internet traffic. The customer will filter the traffic, only allowing traffic forwarded by the XC platform.

In the current AI market, the demand for scalable and secure deployments is increasing. Public cloud providers (AWS, Google, and Microsoft) are competing to provide GenAI infrastructure, driving the need for multi-cloud and hybrid cloud deployments. However, distributed deployments come with challenges, including: Complexity in managing multi-cloud environments. Lack of unified visibility across clouds. Inconsistent security and policy enforcement. F5 Distributed Cloud provides a solution by offering a seamless, secure, and portable environment for GenAI workloads across clouds. This lab will guide you through setting up and securing GenAI applications with F5 Distributed Cloud on AWS EKS and GCP GKE.

In this lab, users will experience F5 Distributed Cloud Web App and API protection (WAAP), where organizations can simplify their path to effective security without sacrificing continued business innovation and customer demand. An API-driven approach to application protection enables improved collaboration between networks, security operations, and developers. This lab will use Terraform to deploy a Web App and API protection solution that protects an existing application

Welcome to the F5 Distributed Cloud (XC) with Customer Edge Deployment mode This lab, presented by WWT and powered by F5 vesctl command line tool, will guide you through aspects of managing configuration within GCP, Kubernetes using F5 Distributed Cloud (XC) in Customer Edge deployment mode. This hands-on experience guides you through deploying a multi-cloud application across GCP, which is accessible via Private IP through an F5 By harnessing the capabilities of the F5 HTTPS Load Balancer, routing traffic within GCP environments privately.

Welcome to the F5 Distributed Cloud (XC) with Customer Edge Deployment mode This lab, presented by WWT and powered by F5 vesctl command line tool, will guide you through aspects of managing configuration within AWS, Kubernetes using F5 Distributed Cloud (XC) in Customer Edge deployment mode. This hands-on experience guides you through deploying a multi-cloud application across AWS, which is accessible via Private IP through an F5 By harnessing the capabilities of the F5 HTTPS Load Balancer, routing traffic within AWS environments privately.