This lab will guide and educate you on what the F5 BIG-IP Next for Kubernetes is, how it is deployed with NVIDIA DOCA, and how it will ultimately help show the gains in offloading traffic to DPUs instead of tying up resources for your applications on the CPU of the physical K8 host.

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.

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 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.

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.

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.

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.

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 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

This lab provides a hands-on introduction to API security and visibility using F5 Distributed Cloud Web App and API Protection (XC WAAP). As APIs continue to grow in number and complexity, they have become a primary target for cyberattacks. This lab explores how to discover, document, and secure both known and shadow APIs using the platform's API Discovery, Schema Validation, and Security Dashboards. Participants will learn how to: Send traffic through the F5 HTTPS Load Balancer to trigger API Discovery and the API Crawler Automatically generate and maintain an API inventory, including undocumented shadow APIs Apply OpenAPI Schema Validation to enforce API conformity and detect anomalies Gain deep insights through advanced API Security Dashboards, including threat levels, sensitive data exposure, authentication status, and risk scores Understand the importance of integrating DevSecOps practices by leveraging IaC and GitHub Actions for API protection deployment By the end of this lab, users will gain critical visibility into their API ecosystem, identify vulnerabilities, and take actionable steps to secure both documented and undocumented APIs—helping to bring shadow APIs into the light.

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.