In this lab we will explore F5 AI Guardrails which is a runtime security platform for generative AI and agentic AI systems, focused on securing the AI inference layer—the point where models receive prompts and generate outputs.

Welcome to the World Wide Technology / F5 Virtual Environment (vLab) setup and hands-on F5 201 Exam Lab exercises. The purpose of this guide is to provide a sampling of hands-on exercises to better understand the subjects outlined in the 201-TMOS Administration Exam. F5 certification exams are designed to required hands-on experience to pass the test and these exercises will help you deal with exam questions requiring you to interpret configuration and other outputs from the BIG-IP.

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 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.

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 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.

Welcome to the WWT / F5 Virtual Environment (vLab) setup and hands-on F5 301a Exam Lab exercises. These exercises are designed to reinforce the concepts outlined in the LTM Specialist: Architect, Setup and Deploy 301a certification. F5 certification exams are designed to required hands-on experience to pass the test and these exercises will help you deal with exam questions requiring you to interpret configuration and other outputs from the BIG-IP.

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.

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.

Systems are at higher risk without a concerted, repeatable application security configuration process. In this lab, you will learn how to build a declarative AWAF policy and achieve OWASP Top Ten (2021) compliance with the BIG-IP OWASP Compliance Dashboard. A complete CI/CD pipeline is used to deploy our AWAF policy to the BIG-IP system using Application Services 3 Extension (AS3) and Ansible.

Ansible Ad Hoc commands are one-time, command-line tasks you can run with the Ansible command line tool without creating playbooks. They are useful for quick tasks, system maintenance, or when you don't need to write a full playbook. This learning path module will teach you how to run ad hoc commands with Ansible

Variables are the key to making flexible and reusable automation. In this module, you'll unlock the power of dynamic automation using Ansible variables. This learning module is designed to provide you with the knowledge and skills needed to leverage variables effectively in your automation workflows.