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 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.

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 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.

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.