How to use a Powershell Azure Function App to get RestAPI IoT data into Power BI for Visualization

Azure Function PowerBI

Overview

This blog post details using a Powershell Azure Function App to get IoT data from a RestAPI and update a table in Power BI with that data for visualization.

The data can come from anywhere, however in the case of this post I’m getting the data from WioLink IoT Sensors. This builds upon my previous post here that details using Powershell to get environmental information and put it in Power BI.  Essentially the major change is to use a TimerTrigger Azure Function to perform the work and leverage the “serverless” Azure Functions model. No need for a reporting server or messing around with Windows scheduled tasks.

Azure Function PowerBI

Prerequisites

The following are the prerequisites for this solution;

  • The Power BI Powershell Module
  • Register an application for RestAPI Access to Power BI
  • A Power BI Dataset ready for the data to go into
  • AzureADPreview Powershell Module

Create a folder on your local machine for the Powershell Modules then save the modules to your local machine using the powershell command ‘Save-Module” as per below.

Save-Module -Name PowerBIPS -Path C:\temp\PowerBI
Save-Module -Name AzureADPreview -Path c:\temp\AzureAD 

Create a Function App Plan

If you don’t already have a Function App Plan create one by searching for Function App in the Azure Management Portal. Give it a Name, Select Consumption Plan for the Hosting Plan so you only pay for what you use, and select an appropriate location and Storage Account.

CreateFunctionApp2

Register a Power BI Application

Register a Power BI App if you haven’t already using the link and instructions in the prerequisites. Take a note of the ClientID. You’ll need this in the next step.

Configure Azure Function App Application Settings

In this example I’m using Azure Functions Application Settings for the Azure AD AccountName, Password and the Power BI ClientID. In your Azure Function App select “Configure app settings”. Create new App Settings for your UserID and Password for Azure (to access Power BI) and our PowerBI Application Client ID. Select Save.

Not shown here I’ve also placed the URL’s for the RestAPI’s that I’m calling to get the IoT environment data as Application Settings variables.

UIDPWD&PBIClientID

Create a Timer Trigger Azure Function App

Create a new TimerTrigger Azure Powershell Function App. The default of a 5 min schedule should be perfect. Give it a name and select Create.

CreateAzureFunction

Upload the Powershell Modules to the Azure Function App

Now that we have created the base of our Function App we’re going to need to upload the Powershell Modules we’ll be using that are detailed in the prerequisites. In order to upload them to your Azure Function App, go to App Service Settings => Deployment Credentials and set a Username and Password as shown below. Select Save.

Deployment Credentials

Take note of your Deployment Username and FTP Hostname.

AppDevSettings

Create a sub-directory under your Function App named bin and upload the Power BI Powershell Module using a FTP Client. I’m using WinSCP.

UploadPB PS Module

To make sure you get the correct path to the powershell module from Application Settings start Kudu.

Traverse the folder structure to get the path to the Power BI Powershell Module and note the path and the name of the psm1 file.

PBIPSM

Now upload the Azure AD Preview Powershell Module in the same way as you did the Power BI Powershell Module.

UploadAAD PS Module

Again using Kudu validate the path to the Azure AD Preview Powershell Module. The file you are looking for is the Microsoft.IdentityModel.Clients.ActiveDirectory.dll” file. My file after uploading is located in “D:\home\site\wwwroot\MyAzureFunction\bin\AzureADPreview\2.0.0.33\Microsoft.IdentityModel.Clients.ActiveDirectory.dll”

AAD Kudu

This library is used by the Power BI Powershell Module.

Validating our Function App Environment

Update the code to replace the sample from the creation of the Trigger Azure Function as shown below to import the Power BI Powershell Module. Include the get-help line for the module so we can see in the logs that the modules were imported and we can see the cmdlets they contain. Select Save and Run.

CheckModule

Below is my output. I can see the output from the Power BI Module get-help command. I can see that the module was successfully loaded.

ModuleLoaded

Function Application Script

Below is my sample script. It has no error handling etc so isn’t production ready, but gives a working example of getting data in from an API (in this case IoT sensors) and puts the data directly into Power BI.

Viewing the data in Power BI

In Power BI it is then quick and easy to select our Inside and Outside temperature readings referenced against time. This timescale is overnight so both sensors are reading quite close to each other.

Graph

Summary

This shows how easy it is to utilise Powershell and Azure Function Apps to get data and transform it for use in other ways. In this example a visualization of IoT data into Power BI. The input could easily be business data from an API and the output a real time reporting dashboard.

Follow Darren on Twitter @darrenjrobinson

Using an Azure Function to search the FIM/MIM Metaverse, create a Set and update the Set membership in the the FIM/MIM Service

Introduction

This is the third and last post in this series of integrating Microsoft Identity Manager with Azure Functions.

The first detailed how to use an Azure Function to retrieve data from the MIM Service Server. The second detailed how to use an Azure Function to retrieve data from the MIM Sync (Metaverse) Server.

This third post combines the two and then performs an action in the MIM Service. The practical purpose of this could be functions like “find all users in location y” and “enable them for entitlement x” or “add an attribute value on each of their objects”.

Overview

The reasoning for the two stage approach is that in my experience it is a lot easier to search the Metaverse than the MIM Service to find an object(s), but also the Metaverse has all the information about objects whereas the MIM Service is a ShadowVerse of the Metaverse containing a subset of the managed objects metadata.

Moving forward then the architecture is a hybrid of the first two posts that introduced the concepts associated with integrating MIM with Azure Functions. As per the other two posts this is a base working example and concept.

Prerequisites

The prerequisites are the same as for the 1st and 2nd posts in this series. You’ll need to work through those examples to setup the dependencies and prerequisites. From there you can create one more Azure Function that brings everything together. That’s what I’m covering in this post.

Therefore the prerequisites are;

  • Azure Tenant and a Function Plan
  • Microsoft Identity Manager implementation
  • Remote Powershell configured for your MIM Sync Server
  • Lithnet FIM MIIS Automation Powershell Module installed on your MIM Sync Server
  • The necessary Firewall Rules on your MIM Sync Server and your Azure Network Security Group (assuming your MIM Infrastructure is in Azure) to allow Azure Functions to communicate with MIM Sync and Service Servers

This Example performs the following

In this example the HTTP Trigger Azure Function;

  • Takes input for ObjectType, Attribute, AttributeValue, SetName
  • Searches the MIM Sync Metaverse for the input ObjectType, with the AttributeValue in the Attribute
  • Connects to the MIM Service
  • Creates the Set based of the input SetName if it doesn’t exist
  • Adds the objects from the search to the Set
  • Returns the objects added to the Set

In a real world implementation you’d do the above with a criteria based set. This post is a concept of search and find, performing a create and updating. That has many practical applications.

Create your new Azure Function

Just like the other two posts, we’re going to create a new Powershell HTTP Trigger Azure Function.

Upload the Lithnet RMA PS Module to your new Azure Function (as per blog post 1 in this series). You should also be using protected credentials now as well. So upload your username/password encryption key.

Here is the Azure Function Powershell Script that performs the process detailed above.

Test it out. Looks good. 88 users matched the value of Sydney in their location attribute.

Verify that the Set was created and the membership updated.

Test calling the Azure Function remotely

Now that it is all working in the Azure Function, lets try doing it from Powershell remotely. This time I’m again looking for Person objects that have Sydney in their location attribute and I’ll create a set named Sydney-NSW and put them in it.

Brilliant, that works nicely. Let’s verify that the Set was created and has the correct number of users in it. Yes, a perfect match.

Summary

Putting Azure Functions and Powershell together along with the Lithnet Powershell Modules opens up a world of possibilities for automation and integration of the MIM Service without the need for any additional infrastructure or any considerable effort.

Experiment and let me know what you do with this style of integration.

Follow Darren on Twitter @darrenjrobinson

Using Azure Functions with the Lithnet MIIS Automation Powershell Module to query your Microsoft Identity Manager Metaverse

Solution Arch Azure Function Remote Identity Manager Metaverse Search

This is the 2nd blog continuing on from this post which is an introduction to using Azure Functions with the Lithnet FIM/MIM Powershell Modules. If you haven’t read that one please do so to get up to speed before this one as it has more detail around the setup.

Overview

This post details similar functionality to the first post but with integration to the FIM/MIM Synchronisation Server and the FIM/MIM Metaverse rather than the FIM/MIM Service.

 

Solution Arch Azure Function Remote Identity Manager Metaverse Search
Solution Arch Azure Function Remote Identity Manager Metaverse Search

The solution is based around an Azure Function that;

  • takes a HTTP WebRequest that contains a payload with the ObjectType, AttributeName and AttributeValue to search for in the Metaverse
  • The Azure Function uses Remote Powershell to call the Lithnet MIIS Automation Powershell Module installed on the FIM/MIM Sync Server
  • The Lithnet Powershell Module takes the query from the Azure Function, executes the query and returns the result to the Azure Function and the requesting client
  • Note: My MIM Infrastructure is all located in Azure so there are configuration steps in this solution to allow access into my Azure environment. If your FIM/MIM infrastructure is elsewhere you’ll need to transpose the appropriate firewall rules for your architecture

Let’s get started.

Prerequisites

The prerequisites for this solution are;

  • An Azure Tenant
  • FIM/MIM Sync Server (as per the diagram above) with data in your Metaverse from a connected directory service (such as Active Directory)
  • I’ll also be using the awesome Lithnet MIIS Powershell Module from here for Microsoft FIM/MIM from Ryan Newington. A fantastic contribution to the FIM/MIM community
    • You’ll need to download and install it on your FIM/MIM Synchronisation Server. This differs from the Lithnet Module from the first post in this series as this one is specific to the Metaverse not the FIM/MIM Service.

Enable Powershell Remoting on the FIM/MIM Sync Server

On the FIM/MIM Sync Server where we will be sending requests from the Function App we need to enable Powershell Remoting. This is so we can leverage the Lithnet MIIS Automation Powershell module (that is a prerequisite to be installed on your FIM/MIM Sync Server).

On the FIM/MIM Synchronisation Server open Powershell (as Administrator) and execute the command  Enable-PSRemoting -Force 

Test from another server in your network that you can access the MIM Sync Server. I did this from my MIM Service Server.

PSRemote Inbound Security Rule (Azure NSG)

Using Powershell Remote means we need to have an incoming rule into the Azure Network where my MIM Sync Server is located to allow connections from Azure Functions to my MIM Sync Server. Create an Inbound Rule in your Azure Network Security Group for TCP Port 5986 as per the rule below.

Create a Self Signed Cert on the FIM/MIM Sync Server

To secure the connection using Remote Powershell we will secure the HTTPS connection with a certificate. This is because the Azure Function is not a member of the domain where your FIM/MIM Sync Server is located. In this example I’m using a self-signed certificate.

In Powershell (as Administrator) on your FIM/MIM Sync Server run the following command where the DNSName is the DNS name of your FIM/MIM Sync that will resolve from Azure Functions to your FIM/MIM Sync server.

New-SelfSignedCertificate -DnsName mymimsyncserver.westus.cloudapp.azure.com -CertStoreLocation Cert:\LocalMachine\My

Create a Remote Powershell HTTPS Listener

Copy the thumbprint from the self-signed certificate above and use it along with the DNS name of your FIM/MIM Sync Server to run the following command in an Administrator command prompt on your FIM/MIM Sync Server.

winrm create winrm/config/Listener?Address=*+Transport=HTTPS @{Hostname=”mymimsyncserver.westus.cloudapp.azure.com”;CertificateThumbp
rint=”536E41D6089F35ABCDEFD8C52BE754EFF0B279B”}

Allow Powershell Remote (HTTPS) through your firewall on your FIM/MIM Sync Server

In an Administrator command prompt run the following command to create a new inbound firewall rule for the Remote Powershell session from your Azure Function.

netsh advfirewall firewall add rule name="WinRM-HTTPS" dir=in localport=5986 protocol=TCP action=allow

Check that the new firewall rule was created successfully.

Create your HTTP Request Function

Create a new HTTP Trigger Function choosing Powershell as the language. More detailed steps to do this is in the first post in this series here.

Search FIM/MIM Metaverse Function App Script

Here is the base script to get you started. This differs a little from the first blog post example in that I’ve secured the username and password for connection to my MIM Sync Server. Details on how to do that are also linked to in the first blog post.

Also in this example I’m running Remote Powershell to execute the command on the FIM/MIM Sync Server as that is where the Lithnet MIIS Automation Powershell Module is installed and needs to run.

The following script;

  • Takes an HTTP request with Object Type, AttributeName, AttributeValue
  • It uses a Script Block to take the input variables from the HTTP request and perform a a Powershell Remote command (in this example Get-MVObject)
  • Returns the object to the output

Save the function once you’ve added the script (and updated it for your credentials, target FIM/MIM Sync Server etc).

Bring up the Test dialog and give the script some input values in the Request Body that will result in a successful query result from your Metaverse. Select Run. If you’ve done everything correctly you’ll see an object returned from the Metaverse.

Test the Function App

Execute the Azure Function from an HTTP Trigger

Now lets try it remotely. Here is a quick Powershell query to the Azure Function using the Powershell Invoke Rest Method using the same input to the Azure Function. And huzzah a returned object.

Summary

This concept provides a framework to allow a plethora of possibilities all possible through a combination of Azure Functions and the Lithnet MIIS Automation PS Module. The Lithnet MIIS PS Module provides all the functionality you get from being on the MIM Sync Server, but now you can retrieve information remotely or trigger functions remotely.

Follow Darren on Twitter @darrenjrobinson

 

 

 

Get Users/Groups/Objects from Microsoft/Forefront Identity Manager with Azure Functions and the Lithnet Resource Management Powershell Module

Leveraging Azure Functions to query Microsoft Identity Manager

Introduction

As an Identity Management consultant if I had a $1 for every time I’ve been asked “what is user x’s current status in IDAM”, “is user x active?”, “does user x have an account in y?”, “what is user x’s primary email address?”, particularly after Go Live of an IDAM solution my holidays would be a lot more exotic.

From a Service Desk perspective IDAM implementations are often a black box in the middle of the network that for the most part do what they were designed and implemented to do. However as soon as something doesn’t look normal for a user the Service Desk are inclined to point their finger at that black box (IDAM Solution). And the “what is the current value of ..”, “does user x ..” type questions start flying.

What if we could give the Service Desk a simple query interface into FIM/MIM without needing to give them access to another complicated application?

This is the first (of potentially a series) blog post on leveraging community libraries and Azure PaaS services to provide visibility of FIM/MIM information. This first post really just introduces the concept with a working example in an easy way to understand and replicate. It is not intended for production implementation without additional security and optimisation. 

Overview

The following graphic shows the concept of using Azure Functions to take requests from a client (web app, powershell, some other script) query the FIM/MIM Service and return the result. This post details the setup and configuration for the section in the yellow shaded box with the process outlined in the numbers 1, 2 & 3. This post assumes you already have your FIM/MIM implementation setup and configured according to your connected integrated applications/services such as Active Directory. In my example my connected datasource is actually Twitter.

Prerequisites

The prerequisites for this solution are;

 

Creating your Azure App Service

First up you’ll need to create an Azure App Service in your Azure Tenant. To keep everything logically structured for this example I created an Azure App Service in the same resource group that contains my MIM IaaS infrastructure (MIM Sync Server, MIM Service Server, SQL Server, AD Domain Controller etc).

In the Azure Marketplace select New (+) and search for Function App. Select the Function App item from the results and select Create.

Give your Azure App Service a name, choose the Resource Group where you want to locate it. Choose Dynamic for the Hosting Plan. This means you don’t have to worry about resource management for your Web App and you only pay for execution time which unless you put this into production and have gone crazy with it your costs should be zero as they will (should) be well under the free grant tier.  Put the application in the appropriate location such as close to your FIM/MIM resources that it’ll be interacting with and select Create.

Now that you have your Azure App Service setup, you need to create your Azure Function.

Create an HTTP Trigger Powershell Function App

In the Azure Portal locate your App Services Blade and select the Function App created in the steps above. Mine was named MIMMetaverseSearch in the example above. Select PowerShell as the Language and HttpTrigger-Powershell as the Function type.

Give your Function a name. I’ve kept it simple in this example and named it the same as my App Service Plan. Select Create.

Adding the Lithnet Powershell Module into your Function App.

As you’d expect the Powershell Function App by default only has a handful of core Powershell Modules. As we’re using something pretty specific we’ll need put the module into our Function App so we can load it and use the library.

Download and save the Lithnet Resource Management Powershell Module to your local machine. Something like the Powershell command below will do that.

Next follow this great blog post here from Tao to upload the Lithnet RMA PS Module you downloaded earlier into your function directory. I used WinSCP as my FTP client as I’ve shown below to upload the Lithnet RMA PS Module.

FTP to the host for your App Service and navigate to the /site/wwwroot/

Create a bin folder and upload via FTP the Lithnet RMA PS Module.

Using Kudu navigate to the path and version of the Lithnet RMA PS Module.
I’m using v1.0.6088 and my app is named MIMMetaverseSearch so MY path is D:\home\site\wwwroot\MIMMetaverseSearch\bin\LithnetRMA\1.0.6088

Note: the Lithnet RMA PS Module is 64-bit so you’ll need to configure your Web App for 64-bit as per the info in the same blog you followed to upload the module here.

Test loading the Lithnet RMA PS Module in your Function App

In your Function App select </> Develop. Remove the sample script and in your first line import the Lithnet RMA PS Module using the path from the previous step. Then, to check that it loads add a line that references a cmdlet in the module. I used Help Get-Resource. Select Save then Run.

If you’ve done everything correct when you select Run and look at the Logs you’ll see the module was loaded and the Help Get-Resource command was run in the Logs.

Allow your Function App to access your FIM/MIM Service Server

Even though you have logically placed your Function App in the same Resource Group (if you did it like I have) you’ll need to actually allow the Function App that is running in a shared PaaS environment to connect to your FIM/MIM Service Server.

Create an inbound rule in your Network Security Group to allow access to your FIM/MIM Service Server. The example below isn’t as secure as it could (and should) be as it allows access from anywhere. You should restrict the source of the request(s) accordingly. I’m just showing how to quickly get a working example. TCP Port 5725 is required to access your MIM Service Server. Enter the details as per below and select Ok.

Using an Azure Function to query FIM/MIM Service

Note: Again, this is an example to quickly show the concept. In the script below your credentials are in the script in clear text (and of course those below are not valid). For anything other than validating the concept you must protect your credentials. A great example is available here in Tao’s post.

The PS Azure Function gets the incoming request and converts it from JSON. In my request which you’ll see in the next step I’m passing in “displayName” and “objectType”.

In this example I’m using Get-Resource from the Lithnet RMA to get an object from the FIM/MIM Service. First you need to open a connection to the FIM/MIM Service Server. On my Azure IaaS MIM Service Server I’ve configured a DNS name so you can see I’m using that name in line 17 to connect to it using the unsecured credentials from earlier in the script. If you haven’t set up a DNS name for your FIM/MIM Service Server you can use the Public IP Address instead.

Line 20 queries for the ObjectType and DisplayName passed into the Function (see calling the Function in the next step) and returns the response in line 22. Again this is just an example. There is no error checking, validation or anything. I’m just introducing the concept in this post.

Testing your Function App

Now that you have the function script saved, you can test it from the Function App itself. Select Test from the options up in the right from your function. Change the Request Body for what the Function is expecting. In my case displayname and objectType. Select Run and in the Logs if you’ve got everything configured correctly (like inbound network rules, DNS name, your FIM/MIM Service Server is online, your query is for a valid resource) you should see an object returned.

Calling the Function App from a Client

Now that we have our Function App all setup and configured (and tested in the Function App) let’s send a request to the Azure Function using the Powershell Invoke-RestMethod function. The following call I did from my laptop. It is important to note that there is no authN in this example and the function app will be using whatever credentials you gave it to execute the request. In a deployed solution you’ll need to scope who can make the requests, limit on the inbound network rules who can submit requests and of course further protect the account credentials used to connect to your FIM/MIM Service Server.

Successful Response

The following screenshot shows calling the Function App and getting the responding object. Success. In a couple of lines I created a hashtable for the request, converted it to JSON and submitted it and got a response. How powerful is that!?

Summary

Using the awesome Lithnet Resource Management PowerShell Module with Azure Functions it is pretty quick and flexible to access a wealth of information we may want to expose for business benefit.

Now if only there was an affiliation program for Azure Functions that could deposit funds for each IDAM request to an Azure Functions App into my holiday fund.

Stay tuned for more posts on taking this concept to the next level.

Follow Darren on Twitter @darrenjrobinson

How to assign and remove user Office365 licenses using the AzureADPreview Powershell Module

A couple of months ago the AzureADPreview module was released. The first cmdlet that I experimented with was Set-AzureADUserLicense. And it didn’t work, there was no working examples and I gave up and used GraphAPI instead.

Since then the AzureADPreview has gone through a number of revisions and I’ve been messing around a little with each update. The Set-AzureADUserLicense cmdlet has been my litmus test. Now that I have both removing and assigning Office 365 licenses working I’ll save others the pain of working it out and give a couple of working examples.

 

If like me you have been experimenting with the AzureADPreview module you’ll need to force the install of the newest one. And for whatever reason I was getting an error informing me that it wasn’t signed. As I’m messing around in my dev sandpit I skipped the publisher check.
Install-Module -Name AzureADPreview -MinimumVersion 2.0.0.7 -Force -SkipPublisherCheck
Import-Module AzureADPreview RequiredVersion 2.0.0.7

Removing an Office 365 License from a User

Removing a license with Set-AzureADUserLicense looks something like this.

What if there are multiple licenses ? Similar concept but just looping through each one to remove.

Assigning an Office 365 License to a User

Now that we have the removal of licenses sorted, how about adding licenses ?

Assigning a license with Set-AzureADUserLicense looks something like this;

Moving forward this AzureAD Powershell Module will replace the older MSOL Module as I wrote about here. If you’re writing new scripts it’s a good time to start using the new modules.

Follow Darren on Twitter @darrenjrobinson

 

Office365 Licensing Management Agent for Microsoft Identity Manager

Licensing for Office365 has always been a moving target for enterprise customers. Over the years I’ve implemented a plethora of solutions to keep licensing consistent with entitlement logic. For some customers this is as simple as everyone gets say, an E3 license. For other institutions there are often a mix of ‘E’ and ‘K’ licenses depending on EmployeeType.

Using the Granfeldt PowerShell Management Agent to import Office365 Licensing info

In this blog post I detail how I’m using Søren Granfeldt’s extremely versatile PowerShell Management Agent yet again. This time to import Office365 licensing information into Microsoft Identity Manager.

I’m bringing in the licenses associated with users as attributes on the user account. I’m also bringing in the licenses from the tenant as their own ObjectType into the Metaverse. This includes the information about each license such as how many licenses have been purchased, how many licenses have been issued etc.

Overview

I’m not showing assigning licenses. In the schema I have included the LicensesToAdd and LicensesToRemove attributes. Check out my Adding/Removing User Office365 Licences using PowerShell and the Azure AD Graph RestAPI post to see how to assign and remove licenses using Powershell. From that you can workout your logic to implement an Export flow to manage Office365 licenses.

Getting Started with the Granfeldt PowerShell Management Agent

If you don’t already have it, what are you waiting for. Go get it from here. Søren’s documentation is pretty good but does assume you have a working knowledge of FIM/MIM and this blog post is no different.

Three items I had to work out that I’ll save you the pain of are;

  • You must have a Password.ps1 file. Even though we’re not doing password management on this MA, the PS MA configuration requires a file for this field. The .ps1 doesn’t need to have any logic/script inside it. It just needs to be present
  • The credentials you give the MA to run this MA are the credentials for the account that has permissions to the Office365 Tenant. Just a normal account is enough to enumerate it, but you’ll need additional permissions to assign/remove licenses.
  • The path to the scripts in the PS MA Config must not contain spaces and be in old-skool 8.3 format. I’ve chosen to store my scripts in an appropriately named subdirectory under the MIM Extensions directory. Tip: from a command shell use dir /x to get the 8.3 directory format name. Mine looks like C:\PROGRA~1\MICROS~2\2010\SYNCHR~1\EXTENS~2\O365Li~1

Schema.ps1

My Schema is based around the core Office365 Licenses function. You’ll need to create a number of corresponding attributes in the Metaverse Schema on the Person ObjectType to flow the attributes into. You will also need to create a new ObjectType in the Metaverse for the O365 Licenses. I named mine LicensePlans. Use the Schema info below for the attributes that will be imported and the attribute object types to make sure what you create in the Metaverse aligns, so you can import the values. Note the attributes that are multi-valued.

Import.ps1

The logic which the Import.ps1 implements I’m not going to document here as this post goes into all the details Enumerating all Users/Groups/Contacts in an Azure tenant using PowerShell and the Azure Graph API ‘odata.nextLink’ paging function

Password Script (password.ps1)

Empty as not implemented

Export.ps1

Empty as not implemented

Management Agent Configuration

As per the tips above, the format for the script paths must be without spaces etc. I’m using 8.3 format and I’m using an Office 365 account to connect to Office365 and import the user and license data.

O365MA-2.png

O365MA-3.png

As per the Schema script earlier in this post I’m bringing user licensing metadata as well as the Office365 Tenant Licenses info.

O365MA-4.png

Attributes to bring through aligned with what is specified in the Schema file.

O365MA-5.png

Flow through the attributes to the attributes I created in the Metaverse on the Person ObjectType and to the new ObjectType LicensePlans.

O365MA-6.png

Wiring it up

To finish it up you’ll need to do the usual tasks of creating run profiles, staging the connector space from Office365 and importing into the Metaverse.

Enjoy.

Follow Darren on Twitter @darrenjrobinson

Getting Users, Groups & Contacts via the Azure Graph API using Differential Query & PowerShell

This is the final post in a series detailing using PowerShell to leverage the Azure AD Graph API. For those catching up it started here introducing using PowerShell to access the Azure AD via the Graph API, licensing users in Azure AD via Powershell and the Graph API, and returning all objects using paging via Powershell and the Graph API.

In this post I show how to;

  • enumerate objects from Azure AD via Powershell and the Graph API, and set a delta change cookie
  • enumerate changes in Azure AD since the last query
  • return objects that have changed since the last query
  • return just the changed attributes on objects that have changed since the last query
  • get a differential sync from now delta change link

Searching through MSDN and other resources working this out I somehow stumbled upon a reference to changes in the API that detail the search filters. v1.5 and later of the API requires filters using the context ‘Microsoft.DirectoryServices.User|Group|Contact’ etc instead of ‘Microsoft.WindowsAzure.ActiveDirectory.User|Group|Contact’ which you’ll find in the few examples around. If you don’t want to return all these object types update the filter on line 21 in the script below.

Here is the script to return all Users, Groups and Contacts from the tenant along with all the other options I detail in this post. Update the following for your tenant;

  • line 6 for your tenant URI
  • line 10 for your account in the tenant
  • line 11 for the password associated with your account from line 10

Here is a sample output showing the Users, Groups, Contacts and DirectoryLinkChange objects. Note: if you have a large tenant that has been in place for a period of time it may take a while to enumerate.  In this instance you can use the Differential Sync from now option. More on that later.

Running the query again using the Differential DeltaLink from the first run now returns no results. This is as expected as no changes have been made in the tenant on the objects in our query.

Now if I make a change in the tenant and run the query again using the Differential DeltaLink I get 1 result. And I get the full object.

What if I just wanted to know the change that was made?

If we add ‘&ocp-aad-dq-include-only-changed-properties=true’ to the URI that’s exactly what we get. The object and what changed. In my case the Department attribute.

Finally as alluded to earlier there is the Differential Sync from now option. Very useful on large tenants where you can query and get all users, contacts, groups etc without using differential sync, then get the Differential Delta token for future sync queries. So I’ve used the same URI that I used as the beginning of this blog post but in the header specified ‘ocp-aad-dq-include-only-delta-token’ = “true” and as you can see I returned no results but I got the important Differential Query DeltaLink.

Summary

Using Powershell we can leverage the Azure AD Graph RestAPI and use the Differential Sync functions to efficiently query Azure AD for changes rather than needing to enumerate an entire tenant each time. Brilliant.

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Enumerating all Users/Groups/Contacts in an Azure tenant using PowerShell and the Azure Graph API ‘odata.nextLink’ paging function

Recently I posted about using PowerShell and the Azure Active Directory Authentication Library to connect to Azure AD here. Whilst that post detailed performing simple tasks like updating an attribute on a user, in this post I’ll use the same method to connect to Azure AD via PowerShell but cover;

  • enumerate users, contacts or groups
  • where the number of objects is greater than the maximum results per page, get all remaining pages of results
  • limit results based on filters

The premise of my script was one that could just be executed without prompts. As such the script contains the ‘username’ and ‘password’ that are used to perform the query. No special access is required for this script. Any standard user account will have ‘read’ permissions to Azure AD and will return results.

Here is the base script to return all objects of a given type from a tenant. For your environment;

  • change line 7 for your tenant name
  • change line 11 for your account in your tenant
  • change line 12 for the password associated with the account specified in line 11
  • change line 18 for the object type (eg. Users, Groups, Contacts)

I’ve hardcoded the number of results to return per page in both line 39 and 64 to the maximum 999. The default is 100. I wanted to return all objects as quickly as possible.

The first query along with returning 999 query results also returns a value for $query.’odata.nextLink’ if there are more than 999 results. The .nextLink value we then use in subsequent API calls to return the remaining pages until we have returned all objects.

Brilliant. So we can now simply change line 18 for different object types (Users, Groups, Contacts) if required. But what if we want to filter on other criteria such as attribute values?

Here is a slightly modified version (to the URI) to include a query filter. Lines 19-24 have a couple of examples of query filters.

So there you have the basics on getting started returning large numbers of objects from Azure AD via Azure Graph from PowerShell. Hopefully the time I spent working out the syntax for the URI’s helps someone else out as there aren’t any examples I could find whilst working this out.

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Simple reporting from the FIM/MIM Metaverse to PowerBI using the Lithnet FIM/MIM Sync Service PowerShell Module

I have a customer that is looking to report on FIM/MIM identity information. The reports they are looking for aren’t overly complex and don’t necessarily justify the need the full FIM/MIM reporting infrastructure. So I spent a few hours over a couple of days looking at alternatives. In this blog post I give an overview of using the awesome Lithnet FIM/MIM Sync Service PowerShell Module recently released from Ryan Newington to do basic reporting on the Microsoft (Forefront) Identity Manager Metaverse into PowerBI.

I’ll briefly show how to leverage the Lithnet FIM/MIM Sync Service PowerShell Module to extract Person objects and their metadata (based on a search filter criteria) from the MIM/FIM Metaverse and output to a file for PowerBI.

I cover;

  • Building a query
  • Executing the query
  • Filtering the results for output to a file (CSV)
  • Importing to PowerBI as a dataset, creating a report showing results in a Dashboard

First up you’ll need to download and install the module from https://github.com/lithnet/miis-powershell

Using the FIM/MIM Sync Service PowerShell Module to query the Metaverse

What operators you can choose on your attribute types (boolean, string, integer, reference etc) in the Metaverse Search function in the Synchronisation Service Manager you can also perform using the Lithnet FIM/MIM Sync Service PowerShell Module.

By creating a search with multiple criteria in the Metaverse Search you can filter the results from the Metaverse.

MVQuery1.jpg

As shown below you can see that we get 302 results.

MVQuery2.jpg

So let’s import the Lithnet FIM/MIM Sync Service PowerShell Module, create a filter execute it and look at the results. As you’d expect we get the same result. Excellent.

PSQuery1.jpg

Remember that using this PowerShell automation module, the backend is still the WMI interface behind the Synchronisation Service Manager. This means you can’t for example create a query filter using “greater than/less than” if you can’t do it in the UI.

Take my Twitter FriendsCount attribute of type Number/Integer as an example.

MVObject1.jpg

I can’t create a query filter that would return results where FriendsCount > 20,000. I can only use the IsPresent, IsNotPresent and Equals.

QueryOperators1.jpg

On a sidenote the PowerShell error message will give you a hint at what operators you can use as shown below.

PSError.jpg

However, if you try and use StartsWith for an Integer attribute the search will execute but just return no results. My tip then is define your query in the Metaverse Search GUI and when you get what results you want/expect, create the equivalent query in PowerShell and validate you get the same number of results.

Final note on query filters. Multiple criteria are an AND operation filter, NOT OR.

QueryAndNotOr.jpg

Let’s do something with the results

Now that we have a query sorted let’s do something with the results. The result set is the full attribute list and values for each associated object that matched our query from the Metaverse. That’s way more info than what I and probably you need as well. So iterate through the results, pull out the attribute values that we want to do something with and export them as a CSV file.

Results1.jpg

What to do with the output ?

For this overview I’ve just chosen the local file (CSV) that I exported as part of the script as the input dataset in PowerBI. https://app.powerbi.com

On the right hand side I’ve chosen the columns that were exported to the CSV and they appear in the main window.

PBi1.jpg

Click Pin to Live Page. You’ll be prompted to save the report first so do that then I choose New Dashboard for the report. Click Pin live.

PBi2.jpg

I can then refine and get some visual reports quickly using text based queries using keywords from the dataset columns. Like Top 10 by number of friends from the dataset.

PBi3.jpg

Create a couple of queries and pin them to the Dashboard and the data comes to life.

PBi4.jpg

Summary

The Lithnet FIM/MIM Sync Service PowerShell Module provides a really easy way to expose information from the Metaverse that may satisfy many reporting and other requirements. Taking the concept further it wouldn’t be too complex to export the data to an Azure SQL DB on a schedule and have the results dynamically update on a PowerBI Dashboard.
The concept of exporting data for reporting is just one practical example using the tools. Huge thanks to Ryan for creating the Lithnet tools and publishing to the community. Keep in mind the tools disclaimer too.

Here is the sample PowerShell.

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Goodbye Set-MsolUser, Hello Set-AzureADUser & Azure Graph API

Update: April 13 2017. 
See this post for adapting to changes in the AzureAD 
PowerShell Module Helper Libraries

Recently Microsoft released the preview of the v2.0 Azure AD PowerShell cmdlets. https://azure.microsoft.com/en-us/updates/azure-ad-new-powershell-cmdlets-preview/

I’ve got a project coming up where I’m looking to change my approach for managing users in Azure using Microsoft Identity Manager. Good timing to do a quick proof of concept to manage users with the new cmdlets and directly using the Graph API in preparation to move away from the msol cmdlets.

New Modules

First up, the Azure AD v2.0 PowerShell module was released in public preview on July 13, 2016. There will likely be changes before they become GA, so keep that in mind.

The v2.0 Azure AD PowerShell Module modules themselves are available for download from here https://www.powershellgallery.com/packages/AzureADPreview/1.1.143.0

If you have Windows Management Framework v5 installed you can download and install from PowerShell (as below).

Once installed, pretty quickly you can import the module, authenticate to your tenant, retrieve a user and update a few attributes (as below).

Whilst functional it doesn’t really work for how we need to interact with Azure from an Identity Management perspective. So how can we still use PowerShell but enumerate and manipulate identities in Azure ?

Now that we have the AzureAD v2.0 module installed we can reference the Active Directory library it installs (Microsoft.IdentityModel.Clients.ActiveDirectory.dll), authenticate to our Tenant retrieve users, and update them. That’s exactly what is shown in the commands below.

Where interacting with the GraphAPI directly really shines however is at the directory services layer and the Differential Query functionality.  https://msdn.microsoft.com/en-us/Library/Azure/Ad/Graph/howto/azure-ad-graph-api-differential-query

As such this is the approach that I’ll be taking for integration of Azure with Microsoft Identity Manager for managing users for entitlements (such as Azure licensing).
I hope this though also saves a few people time in working out how to use PowerShell to manage Azure objects via the Graph API (using both the PowerShell Module or via the RestAPI).