Azure Resource inventory (ARI) is a powerful script writen in powershell to generate an Excel report of any Azure Environment you have read access.

This project is intend to help Cloud Admins and anyone that might need an easy and fast way to build a full Excel Report of an Azure Environment.

The first big change in Azure Resource Inventory V2 is the modularization.

• In ARI V1 we have only one Script. Authentication, Extraction, Data handling and Spreadsheet creation are made in Main Script only ( AzureResourceInventory.ps1 ).
• In ARI V2 the code is much more efficient. The Main Script is responsable only for Authentication and Extraction. Data management and spreadsheet creation are being performed through external modules that are scanned and executed by the Main script.
  
  

New Dashboard Overview

• New Dashboard with much more information and resource list linking to the sheet.

Azure Diagram Inventory

• The BIG Improvement for this version is Azure Diagram Inventory, a Extra Module that create your MS Visio Diagram environment.

To much Resources extraction

For ARI V2 we added much more native modules ( and the possibility to create your own module ;)

Other improvements

• Quota Usage
• Service Principal Authentication
• Scan Modules diretly in GitHub ARI Repository
• Code Review: reduce and simplify of code, Less Loopings, Bug fix, modularization

These instructions will get you a copy of the project up and running on your local machine or CloudShell.

You can use Azure Resource Inventory in both in Cloudshell and Powershell Desktop.

What things you need to run the script

1. Install-Module ImportExcel
2. az cli
3. az extension add --name resource-graph

To install Azure CLI go to Microsoft Docs and follow the instructions to install.

By default Azure Resource Inventory will call to install both ImportExcel module and resource-graph extension but you need to have the right privileges during the script execution.

Special Thanks for Doug Finke, the Author of Powershell ImportExcel Module.

Very Important: If you alread have Resource-Graph and ImplortExcel Azure Resource Inventory will not upgrade it even if your version isn't supported.
If you're facing the bellow errors during your execution and your inventory aren't being generated check for updates in your Resource Graph extension in Az Cli.

1.  az extension list-available --output table  ## Check if resource-graph extension upgrade is available
2. az extension update --name resource-graph

Important: If you're running the script inside Azure CloudShell the final Excel will not have Auto-fit columns and you will see warnings during the script execution (but the results of your inventory will not be changed :)

• Its really simple to use Azure Resource Inventory, all that you need to do is to call this script in PowerShell.

• Run "AzureResourceInventory.ps1". In Azure CloudShell you're already authenticated. In PowerShell Desktop you will be redirected to Azure sign-in page.

• If you have privileges in multiple tenants you can specify the desired one by using "-TenantID" parameter or Azure Resource will scan all your tenants ID and ask you to choose one.

• After properly authenticated and with the TENANT selected, the Azure Resource Inventory will perform all the work of extracting and creating the inventory.

• The duration will vary according to the number of subscriptions and resources. In our tests we managed to generate in 5 minutes the inventory of a Tenant with 15 subscriptions and about 12000 resources.

• Azure ResourceInventory uses "C:\AzureResourceInventory" as default folder for PowerShell Desktop in Windows and "$HOME/AzureResourceInventory" for Azure CloudShell to save the final Excel file.

• This file will have the name "AzureResourceInventory_Report_yyyy-MM-dd_HH_mm.xlsx" where "yyyy-MM-dd_HH_mm" are the date and time that this inventory was created.

We use SemVer for versioning. For the versions available, see the tags on this repository.

We also keep the CHANGELOG.md file in repository to Document version changes and updates.

The main authors of this project are:

1. Claudio Merola ([email protected]).
2. Renato Gregio ([email protected])

Please read our CONTRIBUTING.md which outlines all of our policies, procedures, and requirements for contributing to this project.