IT Essentials Pod v7 - Quick Reference Page


This quick reference page provides a summary of the specifications of this topology. For a complete reference including installation details, please refer to the IT Essentials v7 Pod Planning and Installation Guide

Topology Supports Documentation

ITE7 		Planning and Installation Guide

You may request virtual machine templates for the IT Essentials Pod v7 from CSSIA.

 

Lab Topology

ITEv7

Virtual Machines

Details of the virtual machines in the IT Essentials Pod v7 are provided in the table below.

VM Name VM OS Deployment Name
PC-1 Windows 10 Pro Cisco_ITEv7_Master.PC1
PC-2 Windows 8.1 Pro Cisco_ITEv7_Master.PC2

Pod Resource Requirements

The IT Essentials Pod v7 will consume 51.1 GB of storage per each user pod instance. Details of the storage requirements for each of the lab virtual machines in the IT Essentials Pod v7 are provided in the table below. Some fluctuation in the numbers may occur.

Virtual Machine OVF/OVA Initial Master Pod (thin provisioned)
PC-1 21.1 GB 32.4 GB
PC-2 9.2 GB 18.7 GB
Total 30.3 GB 51.1 GB
 

Virtual Machine Templates

The Center for Systems Security and Information Assurance (CSSIA) provides virtual machine templates to install on the pod.

To request access to the preconfigured virtual machine templates from CSSIA:

  1. Go to the CSSIA Resources page: https://www.cssia.org/cssiaresources/
  2. Select CSSIA VM Image Sharing Agreement.
  3. Complete and submit your access request by following the instructions on the request form.
  4. CSSIA will provide, via email, password-protected download links. Access to the download links is provided only to customers who are current with their NETLAB+ support contract and are participants in the appropriate partner programs (i.e., Cisco Networking Academy, VMware IT Academy, Red Hat Academy, and/or Palo Alto Networks Cybersecurity Academy).
  5. Once all virtual machines have been downloaded, they can be deployed following the steps in the appropriate pod installation guide. Each virtual machine is deployed individually.