Learn how to use Terraform to build and manage Azure infrastructure through code.

WWT's ATC CrowdStrike and Zscaler Integrated lab exists to showcase the integration between CrowdStrike's Falcon Platform, Zscaler Private Access and Zscaler Client Connector through relevant use cases.

Secure Access Service Edge (SASE), coined by Gartner in 2019, is a solution that blends networking and security into cloud scale architecture that optimizes end user performance and improves security for an organization. With the Zscaler and SD-WAN integration, you can rapidly gain access to cloud-delivered security in minutes. This market leading API automation makes it very fast and agile to deploy and manage the network and security environment of hundreds or even thousands of remote sites.

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.

The Cisco Secure Access lab is your chance to get your hands on Cisco's SSE solution. During this lab, you will look at data loss prevention, unified policy, zero trust, and the benefits of quick udp internet connection. Get started today!

This lab exists to provide hands-on experience with the integration between ZIA, CrowdStrike Falcon, and Okta through relevant use cases. First, this lab can be used to see how the integration between CrowdStrike Falcon and ZIA can ensure administrators have end-to-end insight into the threat landscape to minimize attack surface and deliver rapid threat detection and response. On top of this, the lab allows users to see how Okta can integrate with both CrowdStrike and Zscaler to strengthen a company's Zero Trust profile, enhance threat detection during authentication and monitor the intersection of security and access management.

This lab discusses the collaboration between F5 technologies and Citrix VDI to enhance security and performance in virtual desktop infrastructure. F5's security-first approach and performance optimization strengthen Citrix VDI environments, meeting the needs of remote workforces and setting new standards for secure and high-performance virtualized experiences. The hardware and software used in the lab include 5 Windows Servers (v2016) and 1 F5 BIG-IP APM (v17.1.0.1).

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.

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.

Learn how to use Terraform to build and manage AWS infrastructure through code.

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.

Cribl Stream is an observability pipeline tool living between any data source and any destination. These destinations can be systems of analysis (Splunk, Elastic, etc.) or systems of retention (S3 buckets, Data Lakes, etc.). Stream uses Sources, Destinations, Routes and Pipelines to move data coming from data sources, processes through its pipelines (group of functions) and sends the results to one or many destinations in the format that is best for the environment and its use cases.