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.

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.

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.

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.

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 module is the first in the learning path, providing a comprehensive guide to setting up an Ansible automation environment using Visual Studio Code as the IDE. Key learning points include: - Understanding the importance of organizing development projects and using Python virtual environments to isolate dependencies. - Setting up Visual Studio Code for Ansible development, including the installation of Python extensions and Ansible extensions. - Exploring Ansible Galaxy to search for collections. - Installing Ansible collections using the ansible-galaxy command-line tool and requirements.yml files. - Cloning roles from source control, exemplified with the installation of the NetBox IPAM solution role.

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.

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.

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 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 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.

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.