Using your Voice to Search Microsoft Identity Manager – Part 2

Introduction

Last month I wrote this post that detailed using your voice to search/query Microsoft Identity Manager. That post demonstrated a working solution (GitHub repository coming next month) but was still incomplete if it was to be used in production within an Enterprise. I hinted then that there were additional enhancements I was looking to make. One is an Auditing/Reporting aspect and that is what I cover in this post.

Overview

The one element of the solution that has visibility of each search scenario is the IoT Device. As a potential future enhancement this could also be a Bot. For each request I wanted to log/audit;

  • Device the query was initiated from (it is possible to have many IoT devices; physical or bot leveraging this function)
  • The query
  • The response
  • Date and Time of the event
  • User the query targeted

To achieve this my solution is to;

  • On my IoT Device the query, target user and date/time is held during the query event
  • At the completion of the query the response along with the earlier information is sent to the IoT Hub using the IoT Hub REST API
  • The event is consumed from the IoT Hub by an Azure Event Hub
  • The message containing the information is processed by Stream Analytics and put into Azure Table Storage and Power BI.

Azure Table Storage provides the logging/auditing trail of what requests have been made and the responses.  Power BI provides the reporting aspect. These two services provide visibility into what requests have been made, against who, when etc. The graphic below shows this in the bottom portion of the image.

Auditing Reporting Searching MIM with Speech.png

Sending IoT Device Events to IoT Hub

I covered this piece in a previous post here in PowerShell. I converted it from PowerShell to Python to run on my device. In PowerShell though for initial end-to-end testing when developing the solution the body of the message being sent and sending it looks like this;

[string]$datetime = get-date
$datetime = $datetime.Replace("/","-")
$body = @{
 deviceId = $deviceID
 messageId = $datetime
 messageString = "$($deviceID)-to-Cloud-$($datetime)"
 MIMQuery = "Does the user Jerry Seinfeld have an Active Directory Account"
 MIMResponse = "Yes. Their LoginID is jerry.seinfeld"
 User = "Jerry Seinfeld"
}

$body = $body | ConvertTo-Json
Invoke-RestMethod -Uri $iotHubRestURI -Headers $Headers -Method Post -Body $body

Event Hub and IoT Hub Configuration

First I created an Event Hub. Then on my IoT Hub I added an Event Subscription and pointed it to my Event Hub.

IoTHub Event Hub.PNG

Streaming Analytics

I then created a Stream Analytics Job. I configured two Inputs. One each from my IoT Hub and from my Event Hub.

Stream Analytics Inputs.PNG

I then created two Outputs. One for Table Storage for which I used an existing Storage Group for my solution, and the other for Power BI using an existing Workspace but creating a new Dataset. For the Table storage I specified deviceId for Partition key and messageId for Row key.

Stream Analytics Outputs.PNG

Finally as I’m keeping all the data simple in what I’m sending, my query is basically copying from the Inputs to the Outputs. One is to get the events to Table Storage and the other to get it to Power BI. Therefore the query looks like this.

Stream Analytics Query.PNG

Events in Table Storage

After sending through some events I could see rows being added to Table Storage. When I added an additional column to the data the schema-less Table Storage obliged and dynamically added another column to the table.

Table Storage.PNG

A full record looks like this.

Full Record.PNG

Events in Power BI

Just like in Table Storage, in Power BI I could see the dataset and the table with the event data. I could create a report with some nice visuals just as you would with any other dataset. When I added an additional field to the event being sent from the IoT Device it magically showed up in the Power BI Dataset Table.

PowerBI.PNG

Summary

Using the Azure IoT Hub REST API I can easily send information from my IoT Device and then have it processed through Stream Analytics into Table Storage and Power BI. Instant auditing and reporting functionality.

Let me know what you think on twitter @darrenjrobinson

Using your Voice to Search Microsoft Identity Manager – Part 1

Introduction

Yes, you’ve read the title correctly. Speaking to Microsoft Identity Manager. The concept behind this was born off the back of some other work I was doing with Microsoft Cognitive Services. I figured it shouldn’t be that difficult if I just break down the concept into individual elements of functionality and put together a proof of concept to validate the idea. That’s what I did and this is the first post of the solution as an overview.

Here’s a quick demo.

 

Overview

The diagram below details the basis of the solution. There are a few extra elements I’m still working on that I’ll cover in a future post if there is any interest in this.

Searching MIM with Speech Overview

The solution works like this;

  1. You speak to a microphone connected to a single board computer with the query for Microsoft Identity Manager
  2. The spoken phrase is converted to text using Cognitive Speech to Text (Bing Speech API)
  3. The text phrase is;
    1. sent to Cognitive Services Language Understanding Intelligent Service (LUIS) to identify the target of the query (firstname lastname) and the query entity (e.g. Mailbox)
    2. Microsoft Identity Manager is queried via API Management and the Lithnet REST API for the MIM Service
  4. The result is returned to the single board computer as a text result phase which it then uses Cognitive Services Text to Speech to convert the response to audio
  5. The result is spoken back

Key Functional Elements

  • The microphone array I’m using is a ReSpeaker Core v1 with a ReSpeaker Mic Array
  • All credentials are stored in an Azure Key Vault
  • An Azure Function App (PowerShell) interfaces with the majority of the Cognitive Services being used
  • Azure API Management is used to front end the Lithnet MIM Webservice
  • The Lithnet REST API for the MIM Service provides easy integration with the MIM Service

 

Summary

Leveraging a lot of Serverless (PaaS) Services, a bunch of scripting (Python on the ReSpeaker and PowerShell in the Azure Function) and the Lithnet REST API it was pretty simple to integrate the ReSpeaker with Microsoft Identity Manager. An alternative to MIM could be any other service you have an API interface into. MIM is obviously a great choice as it can aggregate from many other applications/services.

Why a female voice? From a small response it was the popular majority.

Let me know what you think on twitter @darrenjrobinson

Sending Events from IoT Devices to Azure IoT Hub using HTTPS and REST

Overview

Different IoT Devices have different capabilities. Whether it is a Micro-controller or Single Board Computer your options will vary. In this post I detailed using MQTT to send messages from an IoT Device to an Azure IoT Hub as well as using the AzureIoT PowerShell Module.

For a current project I needed to send the events from an IoT Device that runs Linux and had Python support. The Azure IoT Hub includes an HTTPS REST endpoint. For this particular application using the HTTPS REST endpoint is going to be much easier than compiling the Azure SDK for the particular flavour of Linux running on my device.

Python isn’t my language of choice so first I got it working in PowerShell then converted it to Python. I detail both scripts here as a guide for anyone else trying to do something similar but also for myself as I know I’m going to need these snippets in the future.

Prerequisites

You’ll need to have configured an;

Follow this post to get started.

PowerShell Device to Cloud Events using HTTPS and REST Script

Here is the PowerShell version of the script. Update Line 3 for your DeviceID, Line 5 for your IoT Hub Name and LIne 11 for your SAS Token.

Using Device Explorer to Monitor the Device on the associated IoT Hub I can see that the message is received.

Device Explorer

 

Python Device to Cloud Events using HTTPS and REST Script

Here is my Python version of the same script. Again update Line 5 for your IoT DeviceID, Line 7 for your IoT Hub and Line 12 for the SAS Token.

And in Device Explorer we can see the message is received.

Device Explorer Python

Summary

When you have a device that has the ability to run Python you can use the IoT Hub HTTPS REST API to send messages from the Client to Cloud negating the need to build and compile the Azure IoT SDK to generate client libraries.

Utilising Azure Speech to Text Cognitive Services with PowerShell

Introduction

Yesterday I posted about using Azure Cognitive Services to convert text to speech. I also eluded that I’ve been leveraging Cognitive Services to do the conversion from Speech to Text. I detail that in this post.

Just as with the Text to Speech we will need an API key to use Cognitive Services. You can get one from Azure Cognitive Services here.

Source Audio File

I created an audio file in Audacity  for testing purposes. In my real application it is direct spoken text, but that’s a topic for another time.  I set the project rate to 16000hz for the conversion source file then exported the file as a .wav file.

Capture Audio

The Script

The Script below needs to be updated for your input file (line 2) and your API Key (line 7). Run it liine by line in VSCode or PowerShell ISE.

Summary

That’s it. Pretty simple once you have a reference script to work with. Enjoy.

Converted

 

 

Utilising Azure Text to Speech Cognitive Services with PowerShell

Introduction

Recently I’ve been building an IoT Project that leverages Azure Cognitive Services. A couple of the services I needed to use were for converting Text to Speech and Speech to Text. The guides were pretty good from Microsoft, but not obvious for use with native PowerShell. I’ve got it all working, so am documenting it for myself for the future but also to help anyone else trying to work it out.

Accessing the Cognitive Services Text to Speech API

Azure Cognitive Services Text to Speech is a great service that provides the ability as the name suggests, convert text to speech.

First you’ll need to get an API key. Head to the Cognitive Services Getting Started page and select Try Text to Speech and Get API Key. It will give you a trial key and 5000 transactions limited to 20 per minute. If you want to use it longer, provision a Speech to Text service using the Azure Portal.

The Script

I’m using a female voice in English for my output format. All the available output languages and genders are available here.

There are also 8 audio output formats. The two I’ve used most are raw 16khz pcm for .wav format and 16khz mp3 for MP3 output as highlighted below. The script further below is configured for MP3.

  • ssml-16khz-16bit-mono-tts
  • raw-16khz-16bit-mono-pcm
  • audio-16khz-16kbps-mono-siren
  • riff-16khz-16kbps-mono-siren
  • riff-16khz-16bit-mono-pcm
  • audio-16khz-128kbitrate-mono-mp3
  • audio-16khz-64kbitrate-mono-mp3
  • audio-16khz-32kbitrate-mono-mp3

The script below is pretty self-explanatory. Update Line 5 for your API Key, and Lines 11 and 13 if you want the output audio file to go to a different directory or filename.  The text to be converted is in line 59.

Step through it using VSCode or PowerShell ISE.

Summary

Using Azure Cognitive Services you can quickly convert text to audio. Enjoy.

 

Implementing Azure API Management with the Lithnet Microsoft Identity Manager Rest API

Introduction

Earlier this week I wrote this post that detailed implementing the Lithnet REST API for FIM/MIM Service. I also detailed using PowerShell to interact with the API Endpoint.

Now lets imagine you are looking to have a number of Azure Serverless features leverage your Rest API enabled Microsoft Identity Manager environment. Or even offer it “as-a-Service”. You’ll want to have some visibility as to how it is performing, and you’ll probably want to implement features such as caching and rate limiting let alone putting more security controls around it. Enter Azure API Management, which provides all those functions and more.

In this post I detail getting started with Azure API Management by using it to front-end the Lithnet FIM/MIM Rest API.

Overview

In this post I will detail;

  • Enabling Azure API Management
  • Configuring the Lithnet FIM/MIM Rest API integration with Azure API Management
  • Accessing MIM via Azure API Management and the Lithnet FIM/MIM Rest API using PowerShell
  • Reporting

Prerequisites

For this particular scenario I’m interfacing Azure API Management with a Rest API that uses Digest Authentication. So even though it is a Windows WCF Webservice you could do something similar with a similar API Endpoint. If the backend API endpoint is using SSL it will need to have a valid certificate. Even though Azure API Management allows you to add your own certificates I had issues with Self Signed Certificates. I have it working fine with Lets Encrypt issued certificates. Obviously you’ll need an Azure Subscription as well as an App/Servive with an API.

Enabling Azure API Management

From the Azure Portal select Create a resource and search for API management and select it.

Add API Mgmt.PNG

Select Create

Create API Mgmt.PNG

Give your API Management Service a name, select a subscription, resource group etc and select Create.

API Mgmt Config 1.PNG

Once you select Create it will take about 30 minutes to be deployed.

Configuring the Lithnet FIM/MIM Rest API integration with Azure API Management

Once your new API Management service has been deployed, from the Azure Portal select the API Management services blade and select the API Management service that you just created. Select APIs.

API Config 1.PNG

Select Add API and then select Add a new API

API Mgmt Config 2.PNG

Give the API a name, description, enter the URI for your API EndPoint, and select HTTPS. I’m going to call this MIMSearcher so have entered that under API URL Suffix. For initial testing under Products select starter. Finally select Create.

API Mgmt Config 4.PNG

We now have our base API setup. From the Backend tile select the Edit icon.

API Mgmt Config 5.PNG

As the backed is authenticated using Basic Authentication, select Basic in Gateway credentials and enter the details of an account with access that will be used by the API Gateway. Select Save.

API Mgmt Config 6.PNG

Now from our API Configuration select Add operation.

API Mgmt Config 7.PNG

First we will create a test operation for the Help page on the Lithnet FIM/MIM Rest API. Provide a Display name, and for the URL add /v2/help. Give it a description and select Create.

Note: I could have had v2 as part of the base URI for the API in the previous steps. I didn’t as I will be using API’s from both v1 and v2 and didn’t want to create multiple operations.

API Mgmt Config 8.PNG

Select the new Operation (Help)

API Mgmt Config 9.PNG

Select the Test menu. Select Send.

API Mgmt Config 10.PNG

If everything is set up correctly you will get a 200 Success OK response as below.

API Mgmt Config 11.PNG

Accessing MIM via Azure API Management and the Lithnet FIM/MIM Rest API using PowerShell

Head over to your API Portal. The URL is https://.portal.azure-api.net/ where is the name you gave your API Management Service shown in the third screenshot at the top of this post. If you are doing this from the browser you used to create the API Management Service you should be signed in already. From the Administrator menu on the right select Profile.

Test API Mgmt 1.PNG

Click on Show under one of the keys and record its value.

Test API Mgmt 2.PNG

Using PowerShell ISE or VSCode update the following Code Snippet and test.

$APIURL = 'https://.azure-api.net//v2/help'
$secret = 'yourSecret'
$Headers = @{'Ocp-Apim-Subscription-Key' = $secret} 
[Net.ServicePointManager]::SecurityProtocol = [Net.SecurityProtocolType]::Tls12

$response = Invoke-RestMethod -Uri $APIURL -Headers $Headers -ContentType "application/json" -UseBasicParsing -Method Get
$response

The snippet will create a Web Request to the new API and display the results.

Test API Mgmt 3.PNG

Querying the Lithnet Rest API via Azure API Management

Now that we have a working solution end-to-end, let’s do something useful with it. Looking at the Lithnet Rest API, the Resources URI is the key one exposing Resources from the MIM Service.

Resources.PNG

Let’s create a new Operation for Resources similar to what we did for the Help. After selecting Create configure the Backend for Basic Authentication like we did for Help.

Get Resources.PNG

Testing out the newly exposed endpoint is very similar to before. Just a new APIURL with the addition of /?Person to return all Person Resources from the MIM Portal. It lets us know it’s returned 7256 Person Objects, and the Results are still paged (100 by default).

Get Persons.PNG

Let’s now Search for just a single user. Search for a Person object whose Display Name is ‘darrenjrobinson’.

$query = "Person[DisplayName='darrenjrobinson']"
$queryEncoded = [System.Web.HttpUtility]::UrlEncode($query)

$APIURL = "https://.azure-api.net//v2/resources/?filter=/$($queryEncoded)" 
$secret = 'yourSecret'
$Headers = @{'Ocp-Apim-Subscription-Key' = $secret} 
[Net.ServicePointManager]::SecurityProtocol = [Net.SecurityProtocolType]::Tls12

$user = Invoke-RestMethod -Uri $APIURL -Headers $Headers -ContentType "application/json" -UseBasicParsing -Method Get
$user

Executing, we get a single user returned.

Search for User.PNG

Reporting

Using the Publisher Portal we can get some Stats on what is happening with our API Management implementation.

Go to https://.portal.azure-api.net/admin and select Analytics.

We then have visibility to what has been using the API Management Service. At a Glance gives and overview and you can drill down into;

  • Top Users
  • Top Products
  • Top subscriptions
  • Top APIs
  • Top Operations

At a glance looks like this;

At a Glance Stats.PNG

And Top Operations looks like this;

Top Operations.PNG

Summary

That is a quick start guide to implementing Azure API Management in front of a Rest API and using PowerShell to integrate with it. Next steps would be to enable caching, and getting into more of the advanced features. Enjoy.

Getting started with the Lithnet REST API for the Microsoft Identity Manager Service

Introduction

A common theme with my posts on Microsoft Identity is the extensibility of it particularly with the Lithnet tools that Ryan has released.

One such tool that I’ve used but never written about is the Lithnet REST API for the Microsoft Identity Manger Service. For a small proof of concept I’m working on I was again using this REST API and I needed to update it as Ryan has recently added some new functionality. I realised I hadn’t set it up in a while and while Ryan’s documentation is very good it was written some time ago when IIS Manager looked a little different. So here is a couple of screenshots and a little extra info to get you started if you haven’t used it before to supplement Ryan’s documentation located here.

Configuring the Lithnet REST API for the Microsoft Identity Manager Service

You can download the Lithnet REST API for the FIM/MIM Service from here

If you are using the latest version of the Lithnet Rest API you will need to make sure you have .NET 4.6.1 installed. If you are running Windows Server 2012 R2 you can get it from here.

When configuring your WebSite make sure you choose .NET v4.5 Classic for the Application Pool.

WebSite AppPool Settings.PNG

The web.config must match your MIM version. Currently the latest is 4.4.1749.0 as detailed here. That therefore looks like this.

WebConfig Resource Management Version.PNG

Finally you’ll need an SSL Certificate. For development environments a Self-Signed Certificate is fine. Personally I use this Cert Generator. Make sure you put the certificate in the cert store on the machine you will be testing access with. Here’s an example of my command line for generating a cert.

Cert Generation.PNG

You could also use Lets Encrypt.

In your bindings in IIS have the Host Name match your certificate.

Bindings.PNG

If you’ve done everything right you will be able to hit the v2 endpoint help. By default with Basic Auth enabled you’ll be prompted for a username and password.

v2 EndPoint.PNG

Using PowerShell to query MIM via the Lithnet Rest API

Here is an example script to query MIM via the Lithnet MIM Rest API. Update for your credentials (Lines 2 and 3), the URL of the server running the API Endpoint (Line 11) and what you are querying for (Line 14). My script takes into account Self Signed Certs in a Development environment.

Example output from a query is shown below.

Example Output.PNG

Summary

Hopefully that helps you quickly get started with the Lithnet REST API for the FIM/MIM Service. I showed an example using PowerShell directly, but using an Azure Function is also a valid pattern. I’ve covered similar functionality in the past.
 

Exporting IoT Device Information from Azure IoT Hub(s) using PowerShell

Introduction

I have a number of Azure IoT Hubs each with a number of devices configured on them. I wanted to export the details for each IoT Device. This can’t be done via the Azure Portal (May 2018) so I looked to leverage the Azure.IoTHub New-AzureRmIotHubExportDevices cmdlet.

Now the documentation for New-AzureRmIotHubExportDevices is a little light on. When I was running the New-AzureRmIotHubExportDevices I kept getting the error ‘Operation returned an invalid status code ‘InternalServerError’.

After many attempts (over weeks) I finally was able to export my IoT devices using PowerShell. The key was to generate the SAS Storage Token for the Container rather than creating a blob file to export to and generating a SAS Token for the file. Simply specify the Storage Container to export too.

Overview

My sample script below uses the latest (as of May 2018) version of the Azure.IoTHub Module (v3.1.3). It;

  • enumerates all Resource Groups in an Azure Subscription and looks for IoT Hubs and puts them into a collection
  • then iterates through each IoT Hub, creates an associated Storage Account (if one doesn’t exist)
  • Exports the IoT Devices associated with the IoT Hub to Azure Storage
  • Downloads the IoT Devices Blob File, opens it and displays through PowerShell console output the IoT Device Names and Status

Export IoT Devices 640px

To use the script you will just need to;

  • change your Subscription Name in Line 4
  • The location where you want to download the blob files too in Line 31
  • if you want to display additional info on each device or do something else with the info change line 71 accordingly

The exported file can be found using Azure Storage Explorer as shown below.

Output Blob File.PNG

And the script outputs the status to the PowerShell console as shown below.

Exported IoT Devices.PNG

The exported object contains all the details for each IoT Device as shown below in the IoT Device PSObject.

IoT Device PSObj.PNG

Summary

It is obvious once you work out how the cmdlet works. Hopefully this working example will save someone else a few hours of head scratching.

Deploying a SailPoint IdentityNow Virtual Appliance in Azure

Introduction

The CentOS image that SailPoint provide for the IdentityNow Virtual Appliance that performs integration between ‘Sources’ and IdentityNow is VMWare based. I don’t have any VMWare Infrastructure to run it on and really didn’t want to run up any VMWare environments for this component. All my other infrastructure is in Azure. I’d love to run my VA(s) in Azure too.

In discussions with SailPoint I understand it is simply a case that they haven’t certified their CentOS image on Azure. So I figured I’d convert the VM, get it into Azure and see if it works from my Sandpit environment. This blog post details how I got it working.

Disclaimer: If you use this for more than a Sandpit/Test environment let your SailPoint CSM know. This isn’t an approved process or a support configuration. That said it works for me.

Overview

This is the high-level process I threw together that worked for me.

  1. Obtain the CentOS Image from the IdentityNow Virtual Appliance Setup
  2. Convert the VMWare VMDK image to Hyper-V VHD format using VirtualBox vboxmanage (free)
  3. From the Azure MarketPlace create a Seed VM based on CentOS (with new Resource Group, Storage Account, Virtual Network etc)
  4. Upload the VHD to the Azure Storage Account (associated with VM from Step 3) using Azure Storage Explorer
  5. Create a new VM based off the VM from Step 3 to use the disk from Step 4 as the Operating System disk
  6. Log in and configure the Virtual Appliance

Convert VMWare VM to Hyper-V.png

Prerequisites

  1. Virtual Box (for the disk image converter). You could probably do it with other tools but I’ve used this before and it just works.
  2. Enough hard disk space for the VA image and the converted image. The base image is ~2.8Gb and when converted to a fixed disk image it becomes ~128Gb (which can compress to ~3Gb for initial upload).
  3. Azure Storage Explorer. We’ll need this to upload the converted virtual disk to Azure.

SailPoint Virtual Appliance CentOS VMWare Image

To download the CentOS VMWare Image login to the Admin section of your IdentityNow Tenant.  Under Admin => Connections => Virtual Appliances create a New Cluster. Select that Cluster then Virtual Appliances => New 

Download the Appliance Package 

Create New VA.PNG

Converting the CentOS VMWare Virtual Disk to a Fixed Hyper-V Virtual Disk

I already had Virtual Box installed on my computer. I had to give the full path to VBoxManage (as shown below) and called it with the switches to convert the image;

vboxmanage clonehd –format VHD –variant Fixed

The –variant Fixed switch takes the dynamic image and converts it to Fixed as this is a requirement in Azure.

ConvertVADisk 1.PNG

The image conversion started and completed in under ten minutes.

Converted Fixed.PNG

Creating an Azure CentOS VM

In the Azure Portal I created a New Resource and chose CoreOS.

NewCoreOS 1

I gave it a name, chose HDD as the disk type and gave it a Username and Password.

NewCoreOS 2

I chose sizing in line with the recommendations for a Virtual Appliance.

NewCoreOS 3

And kept everything else simple (for my sandpit environment).

NewCoreOS 4

After the VM had deployed I had a Resource Group with the necessary Virtual Network, Storage Account etc.

Resource Group.PNG

Upload the Converted Disk to Azure Storage

I created a vhd container (in the Storage Group associated with the VM I just created) to hold the new VHD. Using Azure Storage Explorer I then uploaded the converted image. Select Page Blob for the blob type.

Upload VHD

You’ll want to have a decent internet connection to do this. I converted the SailPoint image on an Azure VM (to which I added a 256Gb data disk too). I then uploaded the new 128Gb VHD disk image from within Azure to the target Resource Group in about 75 minutes.

Upload VHD 2

Below I show the SailPoint Virtual Appliance CentOS OS converted disk image uploaded to Azure Storage Account Blob Storage.

Upload VHD 3.PNG

Generate SAS Token / Get Blob URI

We won’t used a SAS Token, but this just gives easy access to the Storage Blob URL. Right click on the VHD Blob and select Generate Shared Access Signature. Select Create.

Right Click - Get Shared Access Signature

Copy the URL. We’ll need parts of this for the script to create a new CentOS VM with our VA Disk Image.

Get VHD and BLOB Details

Create the new VM for our Virtual Appliance

Update the script below for:

  • The Resource Group you created the Seed VM in (line 2)
  • The Seed VM Name (line 4)
  • The Seed VM Subnet Name (line 6)

Each of those are easily obtained from the Seed VM Summary as highlighted below.

  •  update the Disk Blob details in Live 8 and 10 as copied earlier

After stepping through the script to create the new VM, and happy with the new name etc, I executed the New-AzureRMVM command.

Create New VM

And the VM was created in a couple of minutes.

Create VM Initiated

Accessing the new VM

Getting the IP address from the new VM Summary I SSH’d into it.

VM Started

And logged in with the default credentials from SailPoint. (Windows Subsystem for Linux is awesome).

SSH In to VA

Next Steps

  1. Change the password on your Virtual Appliance (passwrd)
  2. Create a DNS Name, update the configuration as per SailPoint VA Configuration tasks
  3. Create the VA and Test the Connection from the IdentityNow Portal
  4. Delete your original SeedVM as it is no longer required
  5. Add an NSG to the new VM
  6. Create another VM in a different location for High Availability and configure it in IdentityNow

Below shows my Azure based Virtual Appliance connected and all setup.

Cluster Up and Running.PNG

Summary

Whilst not officially supported it is possible to convert the SailPoint Virtual Appliance VMWare based image to an Azure compatible Hyper-V image and assign it as the Operating System disk on an Azure Linux (CoreOS) Virtual Machine. If you need to do something similar I hope my approach gives you some ideas.

If you then need to create another Virtual Appliance in Azure you have a Data Disk you can assign to a VM and upload to wherever it needs to be for creation of another Virtual Appliance VM.

How to use the FIM/MIM Azure Graph Management Agent for B2B Member/Guest Sync between Azure Tenants

 

Introduction

UPDATE: June 2018
When I originally wrote this post the intent was to test
the ability of the Graph MA to export to Azure AD. 
That works.

That then extended to messing with an identity type other 
than member (which works to an extent) but I detailed 
guests. However that is incomplete. I do have a working 
solution that utilises the Graph Invitation API via my 
favourite PowerShell MA (Granfeldt PS MA) and the 
PowerShell cmdlet New-AzureADMSInvitation from the 
Azure AD PowerShell Module.

That solution involves the MS Graph MA connected to a 
Partner tenant to get visibility of partner users and 
then creating relevant users in the home tenant via a 
PowerShell MA and the New-AzureADMSInvitation cmdlet. 
Another MS Graph MA connected to the home tenant provides 
easy visibility of additional guest user attributes for
ongoing functions such as reporting and de-provisioning. 

I will write that up later in July.  Stay tuned and keep
the above in mind when reading this post.

 

Just landed from the Microsoft Identity Manager Engineering Team is a new Management Agent built specifically for managing Azure Users and Groups and Contacts.

Microsoft have documented a number of scenarios for implementing the management agent. The scenarios the MA has been built for are valid and I have customers that will benefit from the new MA immediately. There is however another scenario I’m seeing from a number of customers that is possible but not detailed in the release notes. That is B2B Sync between Azure Tenants; using Microsoft Identity Manager to automate the creation of Guests in an Azure Tenant.

This could be one-way or multi-way depending on what you are looking to achieve. Essentially this is the Azure equivalent of using FIM/MIM for Global Address List Sync.

B2B MA.png

Overview

The changes are minimal to the documentation provided with the Management Agent. Essentially;

  • ensure you enable Write Permissions to the Application you create in the AAD Tenant you will be writing too
  • Enable the Invite Guest users to the organization permission on the AAD Application
  • Create an Outbound Sync Rule to an AAD Tenant with the necessary mandatory attributes
  • Configure the Management Agent for Export Sync Profiles

In the scenario I’m detailing here I’m showing taking a number of users from Org2 and provisioning them as Guests in Org1.

What I’m detailing here supplements the Microsoft documentation. For configuring the base MA definitely checkout their documentation here.

Microsoft Graph Permissions

When setting up the Graph Permissions you will need to have Write permissions to the Target Azure AD for at least Users. If you plan to also synchronize Groups or Contacts you’ll need to have Write permissions for those too.

Graph Permissions 1

In addition as we will be automating the invitation of users from one Tenant to another we will need to have the permission ‘Invite guest users to the organization’.

Graph Permissions 2

With those permissions selected and while authenticated as an Administrator select the Grant Permissions button to assign those permissions to the Application.

Grant Permissions 1Grant Permissions 2

Repeat this in both Azure AD Tenants if you are going to do bi-directional sync.  If not you only need write and invite permissions on the Tenant you will be creating Guest accounts in.

Creating the Import/Inbound Sync Rules Azure Tenants

Here is an example of my Import Sync Rules to get Members (Users) in from an Azure Tenant. I have an inbound sync rule for both Azure Tenants.

Sync Rules.PNG

Make sure you have ‘Create Resource in FIM‘ configured on the source (or both if doing bi-directional) Graph Connector.

Sync Rule Relationship.PNG

The attribute flow rules I’ve used are below. They are a combination of the necessary attributes to create the corresponding Guest account on the associated management agent and enough to be used as logic for scoping who gets created as a Guest in the other Tenant. I’ve also used existing attributes negating the need to create any new ones.

Inbound SyncRule Flow.PNG

Creating the Export/Outbound Sync Rule to a Partner B2B Tenant

For your Export/Outbound rule make sure you have ‘Create resource in external system’ configured.

Export Relationship.PNG

There are a number of mandatory attributes that need to be flowed out in order to create Guests in Azure AD. The key attributes are;

  • userType = Guest
  • accountEnabled = True
  • displayName is required
  • password is required (and not export_password as normally required on AD style MA’s in FIM/MIM)
  • mailNickname is required
  • for dn and id initially I’m using the id (flowed in import to employeeID) from the source tenant. This needs to be provided to the MA to get the object created. Azure will generate new values on export so we’ll see a rename come back in on the confirming import
  • userPrincipalName is in the format of
    • SOURCEUPN (with @ replaced with _ ) #EXT# DestinationUPNSuffix
    • e.g user1_org2.com#EXT#org1.com

Export Attributes.PNG

Here is an example of building a UPN.

UPN Rule.PNG

Sets, Workflows and MPR’s

I didn’t need to do anything special here. I just created a Set based on attributes coming in from the source Azure Tenant to scope who gets created in the target Tenant. An MPR that looks for transition into the Set and applies the Workflow that associates the Sync Rule.

End to End

After synchronizing in from the source (B2B Org 2) the provisioning rules trigger and created the Users as Guests on B2B Org 1.

Prov to Org1 1.PNG

Looking at the Pending Export we can see our rules have applied.

Pending Export.PNG

On Export the Guest accounts are successfully created.

Export Success.PNG

On the confirming import we get the rename as Azure has generated a new CN and therefore DN for the Guest user.

Rename on Import 2.PNG

Looking into Azure AD we can see one of our new Guest users.

User in AAD.PNG

Summary

Using the Microsoft Azure B2B Graph Management Agent we can leverage it to create users from one Tenant as Azure AD Members in another Tenant. Stay tuned for another post detailed the solution detailed in the Update in the Introduction.