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Contoso Overview

Contoso Hypermarket, a leading international consumer goods distributor and retailer, is spearheading digital transformation in the retail industry. The company uses advanced technologies like Azure IoT Operations, NVIDIA Omniverse, and Universal Scene Description (OpenUSD) open and extensible ecosystem to enhance its warehouse operations. This integration allows for accurate 3D representations connected to real-time data, improving decision-making and efficiency.

Many enterprises, including Contoso, are adopting AI for more automated systems, centralizing operations in remote centers with interactive 3D workflows. These workflows help teams quickly identify issues, perform analyses, and provide expert guidance.

Microsoft and NVIDIA empower developers to create advanced 3D workflows that integrate IoT data with physics-based visualizations. The Fabric platform supports data management, while Omniverse and OpenUSD offer collaboration, simulation, and rendering capabilities. These tools help operations teams innovate and optimize for sustainability, safety, and efficiency.

Note

This Arc Jumpstart Drop focuses on building Omniverse and OpenUSD visualizations from real-time Edge data. For additional use-cases that illustrates other aspects of Contoso Hypermarket's digital transformation journey, see the Azure Arc Jumpstart Agora scenario: Contoso Hypermarket.

Omniverse Kit App Streaming Infrastructure Setup

Architecture and Technology Stack

The Azure IoT Operations – Power BI – Omniverse (AIO-PBI-OV) architecture encompasses (from left to right) collecting IoT data from factory floor, efficiently processing and logging it, then updating a Power BI report that is synced with an Omniverse Streaming 3D Viewport to visualize the results in a very high-quality visual interactive digital twin.

The left side of this architectural diagram feeds IoT data via Azure IoT Operations into Event Hubs and Azure Data Explorer (ADX) time-series into a Power BI Report, which then updates the Redux global state with status information that is sent to the 3D Viewport updating the viewport visuals which information such as current operational status.

Legend for Architecture Diagram:

  1. Azure IoT Edge Telemetry Orchestration (plant floor, smart buildings)
  2. Telemetry Data Stream Contextualization via Azure Real Time Intelligence
  3. USD Assets retrieved from Azure Blob Storage
  4. Omniverse Scene Rendering and Kit App Streaming
  5. Interactive digital twin composed of Omniverse accelerated 3D Viewport with Power BI Report in a single dashboard.

The 3D Viewport is composed of two parts: an interactive Omniverse streaming client that displays a remotely cloud rendered 3D OpenUSD scene via low-latency Omniverse Kit App Streaming. The Omniverse cloud rendering is implemented using Azure Kubernetes Service (AKS) and Omniverse Kit App Streaming that orchestrates a scalable NVIDIA RTX GPU accelerated compute and network infrastructure for an Omniverse Kit App. Both the front-end 3D Viewport client and the backend Omniverse Kit App are expected to be customized by the ISV for their use cases. More information about doing this customization may be found in the associated GitHub Repo.

This ARC Jumpstart guide provides the essential information needed by an ISV to implement this architecture in their own Azure Commercial Tenant cloud environment.

Workflow

This Activity Diagram presents a visual overview of the recommended workflow as described in the sections below.

Requirements

Please review technical requirements of the NVIDIA Omniverse Application Streaming API

Prerequisites

Prerequisites required to complete this setup include

  • Access to Azure Subscription with Contributor level RBAC access

  • Linux Operating system with Bash Shell

    • Install openssl using method appropriate for your Linux distro

  • Install Kubectl on your deployment system (Version 1.29 or according to API compatibility)

  • Install kubelogin on your deployment system

  • Install Helm on your deployment system (Version>3.14.0 or according to API compatibility)

  • Install the Azure CLI on your deployment system

  • Creation of an Omniverse Kit application container per APPLICATION_DEVELOPMENT.md

  • Creation of a web app per APPLICATION_DEVELOPMENT.md

Domain and DNS

This guide assumes you have access to a public domain (e.g. iai-contoso.com), which is managed by Azure DNS and have permission to create subdomains for it e.g. kitstreaming.iai-contoso.com.

NVIDIA NGC Account Sign-Up and API Token

During the installation process you will need to create a NGC API TOKEN which is necessary to pull Kit App Streaminng container images and Helm Charts from NVIDIA NGC.

  • Please Sign Up to NGC using these steps
  • Create a NGC API TOKEN using these steps

Store the API TOKEN in a secure place, it will be needed in later steps of the installation process

Helm Repository Setup

  • Please follow these steps to set up the Helm repository references on your deployment system

Technical Skills required

  • Azure: This JumpStart expects familiarity with the Azure Portal, Azure technology stack including Azure Kubernetes Service, Networking and Storage.

  • Kubernetes: Entry level understanding of Kubernetes, the Kubernetes CLI and debugging are recommended.

  • Helm Charts: Entry level knowledge of installation of Helm Charts is recommended.

Azure Resource Deployment

To access your subscription login to http://portal.azure.com and make sure you are in the correct subscription.

From here, the setup steps assume the following:

  • All resources are created within a single resource group.

  • All resources are created in the (US) East US region; however, you can use any region which supports NVIDIA A10 GPUs.

  • All resource names are for example purposes only and are chosen for consistency purposes in documentation, you may choose your own resource names.

  • The selected vnet range and subnet ranges do not overlap (or are taken into consideration) with any planned peered vnets.

  • The private DNS zone for our deployment is contoso-ov-kitappstreaming.net

  • The public DNS zone for our deployment is iai-contoso.com and we will create a record for the subdomain kitstreaming in subsequent steps.

Azure Resources Diagram

Create Resource Group

  • Using the search tool at the top of the portal home page, search for Resource Groups
  • Select the “Resource Groups” option to navigate to the Resource Groups page
  • Click on “+ Create” to create a new resource group.
  • Enter the information on the “Create Resource Group” dialog as shown in the picture below
  • Select the correct subscription from the “Subscription” list.
  • Provide a name for the resource group and select the region, e.g. US South Central US, or wherever you want this resource group to be created.
  • Click “Review+Create” button, do a final review of the supplied information in the next screen and click “Create”.

Create Virtual Network

  • Using the search tool at the top of the portal home page, search for “Virtual Networks”
  • Select the “Virtual Networks” option from the search results to navigate to “Virtual Networks” page.
  • Click on “+ Create” to create a new virtual network.
  • Enter the information on the “Create virtual network” dialog as shown in the picture below.
  • Select the correct subscription from the “Subscription” list.
  • Select the same resource group that was created earlier.
  • Provide a name for the virtual network, and then select the region created in 'Create Resource Group' section.
  • Hit Next to continue to the Security tab (no configuration needed?)
  • Hit Next to continue to the IP Addresses tab to configure Subnets
  • Delete the default address space (e.g. 10.0.0.0/16)
  • Create a new address space 10.2.0.0/16, or if that address space already in use enter another available address space (e.g. 10.123.0.0/16) and use it consistently throughout.

Add Subnets to the Virtual Network

In this section we will add three subnets to the 10.2.0.0/16 Virtual Network created.
Name of the subnet and IP address space for each subnet are shown below.

  • subnet-aks - 10.2.0.0/24

  • subnet-waf - 10.2.1.0/24

  • subnet-apim - 10.2.2.0/24

Create subnet for AKS

Click “+ Add Subnet” button to navigate to “Add Subnet” dialog. Enter all the required information as shown in the screenshot below for subnet-aks and click “Add” to create the subnet.

Create subnet for Web Application Firewall (WAF)

Click “+ Add Subnet” button to navigate to “Add Subnet” dialog. Enter all the required information as shown in the screenshot below for subnet-waf and click “Add” to create the subnet.

Create subnet for API Management (APIM) Gateway

Click “+ Add Subnet” button to navigate to “Add Subnet” dialog. Enter all the required information as shown in the screenshot below for subnet-apim and click “Add” to create the subnet.

Finally, when all the subnets are created, click on “Review+Create” button on the “Create Virtual Network” dialog, perform a final review of the supplied information for the three new subnets, and click on “Create” to create the virtual network.

Create Network Security Groups

  • Using the search tool at the top of the portal home page, search for “Network Security Groups”,
  • Select the “Network Security Groups” option from the search results to navigate to “Network Security Groups” page.
  • Click on “+ Create” to create a new network security group.
  • Enter information on the “Create network security group” dialog as shown in the picture below.
  • Select the correct subscription from the “Subscription” list.
  • Select the same resource group that was created earlier.
  • Provide a name for the network security group and then select the region where you want this network security group to be created in e.g. South Central US
  • Review and Create the network security group.
  • Click on the newly created network security group.

Create the following inbound rules as shown in the screenshots below.

  • Add new rules

    • Port 80 (http)

      • Source: IP Addresses

      • Source: ideally your specific VPN CIDR blocks, also 10.0.0.0/8

      • Source Port Ranges: *

      • Destination: Any

      • Service: HTTP

      • Protocol: TCP

    • Port 443 (https)

      • Source: IP Addresses

        • Source: ideally your specific VPN CIDR blocks, also 10.0.0.0/8

        • Source Port Ranges: *

        • Destination: Any

        • Service: HTTPS

        • Protocol: TCP

    • Port 3443 (APIM management)

      • Source: Service Tag

      • Source service tag: ApiManagement

      • Source port ranges: *

      • Destination: Service Tag

      • Destination service tag: VirtualNetwork

      • Service: Custom

      • Protocol: Any

      • Destination port: 3443

    • Ports 31000-31002 (streaming) TCP

      • Source: IP Addresses

      • Source: ideally your specific VPN CIDR blocks, also 10.0.0.0/8

      • Source Port Ranges: *

      • Destination: Any

      • Service: Custom

      • Destination Port Ranges: 31000-31002 

      • Protocol: TCP

    • Ports 31000-31002 (streaming) UDP

      • Source: IP Addresses

      • Source: ideally your specific VPN CIDR blocks, also 10.0.0.0/8

      • Source Port Ranges: *

      • Destination: Any

      • Service: Custom

      • Destination Port Ranges: 31000-31002 

      • Protocol: UDP

      • Name: append UDP to name to resolve conflict

Image Snapshots for Network Security Group

In summary the following network rules should have been created, according to image below:

Assign to subnets 'subnet-aks' and 'subnet-apim'

  • Navigate to the contoso-omniverse-nsg
  • click on Settings and then Subnets to navigate to “contoso-omniverse-nsg | Subnets” page.
  • Click on “+ Associate”. On the “Associate subnet” dialog box, select “contoso-omniverse-vnet” as the virtual network and “subnet-aks” as the subnet to associate the network security group.
  • Repeat the same process to associate the network security group to subnet “subnet-apm”

In summary the assignment should be similar to this:

DNS and Certificate Configuration

These may be long lead items as they may require additional IT/Networking approvals.

To access from Internet requires permissions to insert DNS ‘A’ Record.

Requires Certificate Authority (CA) signed certificate, as self-signed certificates may not be sufficient for public DNS.

Create self-signed certificates for private DNS zone

In the below commands, the private DNS zone is contoso-ov-kitappstreaming.net. Use following Bash script to generate both a root and SSL certificate:

  1. Execute the following. Make changes to the CN
# Generate a private key.
openssl genrsa -out contoso-ov-kitappstreaming-net-signing-root.key 4096

# Create a self-signed root certificate.
openssl req -x509 -new -nodes -key contoso-ov-kitappstreaming-net-signing-root.key -sha256 -days 1825 -out contoso-ov-kitappstreaming-net-signing-root.crt -subj "/CN=contoso-ov-kitappstreaming-net-signing-root"
  1. Execute the following commands. Make changes to the DNS Name. Make changes to the CN.
# Create a private key for the wildcard SSL certificate:
openssl genrsa -out contoso-ov-kitappstreaming-ssl.key 2048

# Create a Certificate Signing Request (CSR):
openssl req -new -key contoso-ov-kitappstreaming-ssl.key -out contoso-ov-kitappstreaming-ssl.csr -subj "/CN=\*.contoso-ov-kitappstreaming.net" -addext "subjectAltName=DNS:contoso-ov-kitappstreaming.net,DNS:\*.contoso-ov-kitappstreaming.net"

# Sign the SSL certificate with the root certificate:
openssl x509 -req -in contoso-ov-kitappstreaming-ssl.csr -CA contoso-ov-kitappstreaming-net-signing-root.crt -CAkey contoso-ov-kitappstreaming-net-signing-root.key -CAcreateserial -out contoso-ov-kitappstreaming-ssl.crt -days 825 -sha256 -extfile <(printf "subjectAltName=DNS:contoso-ov-kitappstreaming.net,DNS:\*.contoso-ov-kitappstreaming.net")
  1. Execute the following commands to create the two certificates. These will be stored in the directory you are currently in.
# Export CER of the root and SSL certs2. 

openssl x509 -in contoso-ov-kitappstreaming-net-signing-root.crt -out contoso-ov-kitappstreaming-signing-root.cer  

openssl x509 -in contoso-ov-kitappstreaming-ssl.crt -out contoso-ov-kitappstreaming-ssl.cer
  1. Edit the password argument and execute the following commands to create the two certificates. These will be stored in the directory you are currently in. NOTE: Password is required.
# Export PFX of the root and SSL certs

openssl pkcs12 -export -out contoso-ov-kitappstreaming-signing-root.pfx  -inkey contoso-ov-kitappstreaming-net-signing-root.key -in contoso-ov-kitappstreaming-net-signing-root.crt -password pass:<password>

openssl pkcs12 -export -out contoso-ov-kitappstreaming-ssl.pfx -inkey contoso-ov-kitappstreaming-ssl.key -in contoso-ov-kitappstreaming-ssl.crt -certfile contoso-ov-kitappstreaming-net-signing-root.crt -password pass:<password>

Create LetsEncrypt certificates manually for public DNS zone

Create LetsEncrypt certificates manually for public DNS zone https://certbot.eff.org/

Change the domains to your public DNS. In the following examples, kitstreaming.iai-contoso.com is the public DNS zone.

$ sudo certbot certonly --manual --preferred-challenges=dns --email [email protected] --server https://acme-v02.api.letsencrypt.org/directory --agree-tos -d kitstreaming.iai-contoso.com -d '*.kitstreaming.iai-contoso.com'

This process requires access to the zone in order to manually create and verify TXT records. The certificates will be created in /etc/letsencrypt/live/<Public DNS Zone>

Example output:

$ sudo certbot certonly --manual --preferred-challenges=dns –email [email protected] --server https://acme-v02.api.letsencrypt.org/directory --agree-tos -d kitstreaming.iai-contoso.com -d '*.kitstreaming.iai-contoso.com' Saving debug log to /var/log/letsencrypt/letsencrypt.log

   - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Would you be willing, once your first certificate is successfully issued, to share your email address with the Electronic Frontier Foundation, a founding partner of the Let's Encrypt project and the non-profit organization that develops Certbot? We'd like to send you email about our work encrypting the web, EFF news, campaigns, and ways to support digital freedom.

 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - (Y)es/(N)o: Y

Account registered.

Requesting a certificate for kitstreaming.iai-contoso.com and *.kitstreaming.iai-contoso.com

- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Please deploy a DNS TXT record under the name: _acme-challenge.kitstreaming.iai-contoso.com with the following value: 

EdO-qo1kRstJ6lGiwRI9fm-UBByVsmUN9Tfb_hVOBTs

 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 

Press Enter to Continue

- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 

Please deploy a DNS TXT record under the name:

 _acme-challenge.kitstreaming.iai-contoso.com. with the following value:

 0mw0aeygcGwx1Q1SRug1z_u3dRrU_QEL-KOHnMhmCUY

(This must be set up in addition to the previous challenges; do not remove, replace, or undo the previous challenge tasks yet. Note that you might be asked to create multiple distinct TXT records with the same name. This is permitted by DNS standards.)

Before continuing, verify the TXT record has been deployed. Depending on the DNS provider, this may take some time, from a few seconds to multiple minutes. You can check if it has finished deploying with aid of online tools, such as the Google Admin Toolbox: https://toolbox.googleapps.com/apps/dig/#TXT/_acme-challenge.kitstreaming.iai-contoso.com.

Look for one or more bolded line(s) below the line ';ANSWER'. It should show the value(s) you've just added.

Add the record in DNS Management > Recordsets and verify that the record shows up with the link provided in the command output above.

Once you have verified that the TXT entry shows up press Enter. If this fails, try running the command again or waiting longer.

Create a .pfx from the full chain certificate and private key

Note: When creating this certificate, a password is required.

$ openssl pkcs12 -export -in /etc/letsencrypt/live/kitstreaming.iai-contoso.com/fullchain.pem -inkey /etc/letsencrypt/live/kitstreaming.iai-contoso.com/privkey.pem -out kitstreaming.iai-contoso.com.pfx

Your file will be named <Public DNS Zone>.pfx. Change the value after -out to name it differently. Save the location of this file, as it will need to be uploaded later.

AKS Cluster Configuration

In this step the Azure Kubernetes cluster is created and configured. The technology stack running on Kubernetes requires 3 types of Worker Nodes:

  1. General Compute: These worker nodes run the API and other services
  2. Memory Optimized: These worker nodes run the memcached service
  3. NVIDIA GPU: These worker nodes run the Omniverse Kit Application pods.

Above worker nodes are created in this section as AKS Node Pools. In order to learn more about the supported instance types and requirements, please visit the NVIDIA documentation.

Please ensure your Azure subscription is configured with the appropriate quota to provision Azure virtual machines for the following AKS node pool configurations :

  • Control Plane

    • Node Pool Name: agentpoolds

    • VM SKU: Standard D4s V3 (or larger)

    • Minium Quota Quantity: 2 VMs

  • Cache Layer

    • Node Pool Name: cachepool

    • VM SKU: Standard D8S V3

    • Minimum Quota Quantity: 1 VM

  • GPU Compute

    • Node Pool Name: gpupool

    • VM SKU: Standard NV36ads A10 V5

    • Minimum Quota Quantity: 1 VM

Create AKS Cluster

To provision the AKS cluster:

  • Start by search & select “Kubernetes Services” in the Azure Portal top search box
  • Click “Create” -> “Kubernetes cluster”.
  • In the creation form, select the previously created resource group e.g. rg_contoso_omniverse
  • Select the Cluster preset configuration Dev,Test
  • Define a name for the Kubernetes cluster e.g. contoso-aks
  • Select the same region, as for previous resources e.g. US South Central US
  • Select Kubernetes version 1.29.9
  • Select for Authentication and Authorization Microsoft Entra ID authentication with Azure RBAC
  • Below image shows an example of a filled form.
  • Do NOT click “Review + Create” yet, as we need to pre-configure Node pools and networking as part of creating the AKS cluster in the next step.
  • Navigate with Next to the Node pools configuration

Create Nodepools

We will create three node pools as part of the AKS cluster configuration i.e. Agent pool, Cache pool and GPU pool with Azure VM SKU Types described in the introductory segment of AKS cluster configuration.

  • Update the existing agent pool by

    • Change the Scale method to Manual
    • Set the Node Count to 2 (ensure with the combination of node type and node count the relevant pods can run)
    • Set max pods per node to 30

  • Create a new nodepool for caching:

    • Name: cachepool
    • Mode: User
    • OS SKU: Ubuntu Linux
    • Node size: Standard_D8s_v3
    • Scale Method: Manual
    • Node count: 1

  • Create a new nodepool for the gpu nodes:

    • Name: gpupool
    • Mode: User
    • OS SKU: Ubuntu Linux
    • Node size: Standard NV36ads A10 v5
    • Scale Method: Manual
    • Node count: 1

Sample forms of the node pool configurations provided below for quick reference.

In summary your node pools should look similar to this:

  • Please ensure you have sufficient capacity quota granted to your subscription.
  • If required please open Azure support ticket to seek capacity allocation as described in quickstart-increase-quota-portal.
  • Once the node pools are configured, move onto the “Networking” tab to connect AKS cluster with the pre-created Virtual Network associated with necessary Network Security group rules.

Configure Networking

  • Select Azure CNI Node Subnet option for the Container Networking
  • Select Bring your own Azure virtual network
  • Select the previously created virtual network e.g. contoso_omniverse_vnet
  • Select as Cluster subnet the previously created subnet e.g. subnet-aks

Confirm and create cluster

Review all the configurations across the “Basics”, “Node Pools” & “Networking” tabs of the “Create Kubernetes Cluster” form. When ready, click “Review + Create”. This step will take time as it involves provisioning compute resources as specified in the node pool configurations.

RBAC Setup

To access the AKS Cluster and manage resources inside Kubernetes, proper role assignments within the resource group must be completed. For below steps your user needs permissions to assign roles e.g. Owner or the User Access Administrator Role, the Contributor Role is not sufficient.

Add any user here that will need access to the cluster by completing the following steps:

  • Navigate to the previously created Resource Group e.g. rg_contoso_omniverse

  • Navigate to Access control (IAM)

  • Click Add, and navigate to Add role assignment

  • Search Azure Kubernetes Service in the role search

  • Add desired user to Azure Kubernetes Service RBAC Cluster Admin

  • Add desired user to Azure Kubernetes Service RBAC Admin

Pull kubeconfig locally and check access

For the following installation steps a user with Azure Kubernetes Service RBAC Cluster Admin is required due to installation of various services in many namespaces.

In this step you will check your access to the Kubernetes cluster. For general guidance please review the AKS documentation.

  • Ensure the correct subscription is selected with az account set --subscription <subscription-id>
  • Log in to the Azure CLI with az login.
$ az aks get-credentials --format azure --resource-group rg_contoso_omniverse --name aks-contoso

$ export KUBECONFIG=/home/${USER}/.kube/config

$ kubelogin convert-kubeconfig –l azurecli

$ kubectl get nodes

In the next step you can run some kubectl commands to list nodes, pods and cluster information to ensure you are connected to the right cluster.

List existing nodes:

$ kubectl get nodes -o wide
NAME                                STATUS   ROLES    AGE    VERSION   INTERNAL-IP   EXTERNAL-IP   OS-IMAGE             KERNEL-VERSION      CONTAINER-RUNTIME
aks-agentpool-34877641-vmss000000   Ready    <none>   7h3m   v1.29.9   10.2.0.62     <none>        Ubuntu 22.04.5 LTS   5.15.0-1073-azure   containerd://1.7.22-1
aks-agentpool-34877641-vmss000001   Ready    <none>   7h3m   v1.29.9   10.2.0.33     <none>        Ubuntu 22.04.5 LTS   5.15.0-1073-azure   containerd://1.7.22-1
aks-cachepool-34877641-vmss000000   Ready    <none>   7h3m   v1.29.9   10.2.0.91     <none>        Ubuntu 22.04.5 LTS   5.15.0-1073-azure   containerd://1.7.22-1
aks-gpupool-34877641-vmss000000     Ready    <none>   7h3m   v1.29.9   10.2.0.4      <none>        Ubuntu 22.04.5 LTS   5.15.0-1073-azure   containerd://1.7.22-1

You should see worker nodes corresponding to the agent nodes, caching nodes and gpu nodes configured in the node pools.

List cluster information, you should see an output similar to this for your cluster e.g. contoso-aks:

$ kubectl cluster-info
Kubernetes control plane is running at https://contoso-aks-ocrmfdj1.hcp.southcentralus.azmk8s.io:443
CoreDNS is running at https://contoso-aks-dns-ocrmfdj1.hcp.southcentralus.azmk8s.io:443/api/v1/namespaces/kube-system/services/kube-dns:dns/proxy
Metrics-server is running at https://contoso-aks-dns-ocrmfdj1.hcp.southcentralus.azmk8s.io:443/api/v1/namespaces/kube-system/services/https:metrics-server:/proxy

API Management Service

Create APIM Service

In this step the Azure API Management Service is deployed and configured. The configuration will be tied together with an Application Gateway.

  • Start by searching for “API Management services” in the Azure Portal top search box
  • Select “API Management Services” option from the result list to navigate to “API Management Services” screen
  • Click “+ Create” on the “API Management Services” screen to navigate to “Create API Management service” screen.
  • Populate “Basics” tab with information as shown in the screenshot.
    • Select the previously created resource group
    • Select the region, e.g. US South Central US
    • Select Pricing Tier Developer (no SLA)
  • Please do NOT click “Review + Create” yet, as we need configure a virtual network for the service in the “Virtual Network” tab.

  • Hit Next to navigate to the Monitor and Secure tab
  • Hit Next to navigate to the Virtual network tab
    • Set as Connectivity Type Virtual Network
    • Set as Type Internal
    • Select the previously created virtual network
    • Select the previously created Subnet, e.g. subnet-apim
  • Hit Review and create to create the API Management Service Instance

Configure Custom Domain and Private DNS Zone

  1. Once deployed, add a custom domain:

    1. Select Custom Domains under Deployment and Infrastructure

    2. Add a new custom domain for the gateway:

      • Type: Gateway

      • Hostname: apim-gw.contoso-ov-kitappstreaming.net ← This should be apim-gw.<your private DNS>

      • Certificate: Custom s

      • Certificate file: contoso-ov-kitappstreaming-ssl.pfx ← This is the self-signed certificate that was created previously

      • Check Default SSL binding

    3. Add a new custom domain for the management gateway:

      • Type: Management
      • Hostname: apim-mgmt.contoso-ov-kitappstreaming.net ← This should be apim-mgmt.<your private DNS>
      • Certificate: Custom
      • Certificate file: contoso-ov-kitappstreaming-ssl.pfx ← This should be what the SSL certificate file was named previously.

    Note: These settings can take up to an hour to apply

  2. Add DNS records to private DNS zone:

    1. Add two A records for apim-gw and apim-mgmt to previously created private DNS zone pointing to private IP of the APIM instance created previously.

Add API route to ingress controller in APIM

  1. Navigate to APIs under APIs in the APIM

  2. Create a new API with the name HTTP

    1. Create a new GET operation under the HTTP API created in the last step
      • URL: /*
      • Responses:200

    1. Navigate to Backend > HTTP(s) endpoint

      1. Add the private DNS name given to the streaming services, api.contoso-ov-kitstreaming.net
      2. Check the Override box next to Service URL
      3. Select HTTP(s) endpoint instead of Azure logic app

    2. Repeat this for POST, DELETE and OPTIONS

  3. Turn off Subscription Key Requirement

    1. Go to APIM > APIs > APIs > http get >

Application Gateway Service with Web Application Firewall

To provision the Application Gateway service, start by searching for “Application Gateway” in the Azure Portal top search box and select “Application Gateways” option from the result list to navigate to “Load Balancing | Application Gateway” screen.

Click on “+ Create” button on this screen and navigate to the “Create application gateway” screen. Provide information in the “Basics” tab as shown in the screenshot example of a filled form.

Please do NOT click “Review + Create” yet, as we need configure “Frontends”, “Backends”, and “Configuration” tabs in the subsequent steps.

Basics

  • Tier: WAFv2
  • Autoscaling: (optional) min 2, max 3
  • Policy: Create new (can use defaults)
  • Vnet: Created in step 1
  • Subnet: subnet-waf

Frontends

  • Type: both
  • Public IP: Create new
  • Private IP: Choose IP in private subnet range (e.g. 10.2.1.10)

Backends

Create new

  • Name: apim
  • Backend target: apim-gw.contoso-ov-kitappstreaming.net ← This should be apim-gw.<your private DNS>

Configuration

Add new routing rule

  • Name: waf-to-apim-internal
  • Priority 100
  • Listener
    • Name: http
    • Frontend IP: public IPv4
    • Protocol: http
    • Port: 80

Backend targets

  • Target: apim (backend created above)
  • Create new backend setting
  • Name: https-internal
  • Protocol: https
  • Server certificate is signed by well-known authority: No
  • CER certificate: ov-kitappstreaming-signing-root.cer
  • Override with new host name: Yes
  • Select Pick hostname from backend target
  • Create custom probes: Yes

Example:

Once deployed go to app gateway:

Health Probe

Click Settings > Health Probe. Click the test and check that it works.

  • Name: https
  • Pick hostname from backend settings: Yes
  • Path: /status-0123456789abcdef
  • Use probe matching conditions: Yes
  • Backend settings: choose existing one
  • Test the probe; it should be successful
  • Click Add

HTTPS Listener

Add a new HTTPS listener (optional; adds TLS termination at AppGw)

  • Under Settings > Listeners, click + Add Listener
    • Name: https
    • Frontend IP: public
    • Protocol: https
    • Certificate: Upload a certificate
    • Name: contoso-ov-kitappstreaming
    • PFX Certificate File: (.pfx file created earlier)
    • Password:
    • Listener type: Multi site
    • Host type: Multiple/Wildcard
    • Host names:
      • kitstreaming.iai-contoso.com
      • *.kitstreaming.iai-contoso.com

If it shows “Failed to save application gateway changes”:

$ sudo chmod 777 kitstreaming.iai-contoso.com.pfx

Routing Rules

Under Settings > Rules, click + Routing rule

  • Name: https

  • Priority: 10

  • Listener: https

Backend pool

  • Backend target: apim

  • Backend settings: https-internal

Under Settings > Rules, click waf-to-apim-internal

Backend targets

  • Change Target type from Backend pool to Redirection

  • Target listener: https

Post Deployment:

If your APIM service is not yet finished deploying with post deployment steps, you will see an error on the AppGW with something like "Unhealthy backend pools". Once AppGW APIM is deployed, you should no longer have this error. Try testing the health probe if this problem continues and make sure that the URLs you added are configured correctly.

RBAC

Assign RBAC permissions to enterprise app registration created by AKS cluster

  • Find the vnet created in step 1

  • Under Access control (IAM), click Check access

    • Search for the cluster name after selecting Managed Identities and add the managed identity of the AKS cluster

Omniverse Kit App Streaming Deployment and Configuration

In this section the NVIDIA Kit App Streaming stack is deployed and configured on AKS. This includes the steps to

  1. Install the Kit App Streaming technology stack on AKS with Helm
  2. Customize and integrate the Configuration with custom domains, TLS, etc.
  3. Creation of an Azure Container Registry to host custom Omniverse Kit Application Images
  4. Creation and deployment of a custom Omniverse Kit Application

Please visit [Omniverse Application Streaming API documentation](https://docs.omniverse.nvidia.com/ovas/latest/index.html for further details. This section follows the installation steps outlined in https://docs.omniverse.nvidia.com/ovas/latest/deployments/infra/installation.html. For questions and support please reach out via https://docs.omniverse.nvidia.com/ovas/latest/common/feedback.html

(Optional) Move External Dependencies to your own artifact storage

This installation guide assumes you are sourcing and installing the Kit App Streaming API services with their Helm Charts and container images from NVIDIA NGC. Besides this several other public resources are used for dependencies like Flux. In case you want your installation to refer to your own image and Helm repositories, please copy the needed artifacts to your own repository and configure the AKS cluster to access the needed resources.

You can find links and details on the Helm Charts and Images needed in the NGC Collection for Omniverse Application Streaming API

Download Sample and Resources Files

For installing the needed services, NVIDIA provides sample Helm values.yaml files and Custom Resource Definition (CRD) files used to configure in later steps the Kit Applications.

  • Create a new working directory kas_installation
  • Download the Samples and Resources files
  • Extract the downloaded files and place them in your working directory
  • Your folder structure should look similar to this with the downloaded files:
├── flux2
│   └── values.yaml
├── kas-usd-viewer-application
│   ├── Chart.yaml
│   ├── charts
│   ├── templates
│   │   ├── application-profile-tgb.yaml
│   │   ├── application-version.yaml
│   │   └── application.yaml
│   └── values.yaml
├── kit-appstreaming-applications
│   ├── values.yaml
│   └── values_aws_api_gateway.yaml
├── kit-appstreaming-aws-nlb
│   ├── values.yaml
│   └── values_aws_api_gateway.yaml
├── kit-appstreaming-manager
│   ├── values_aws_tgb.yaml
│   ├── values_generic.yaml
│   └── values_generic_aws_api_gateway.yaml
├── kit-appstreaming-rmcp
│   └── values.yaml
└── memcached
    └── values.yml

These files are needed in the following steps, and also need to be modified to accommodate your installation environment.

Create Kubernetes Namespace

The solution currently requires the creation of one new Kubernetes namespace to deploy various resources. For simplicity, this document assumes the namespace omni-streaming is created and used.

  • Run kubectl create namespace omni-streaming

NOTE: Section on Image pull secret

Create Image Registry Pull Secret

During the setup of the pre-requisites, you created a NGC API TOKEN. This API token is used by Kubernetes during later installation steps to download the necessary images from NGC. In case you want to leverage images copied to your own image repositories, please adapt the secrets accordingly.

  • For convenience, you can export your NGC API Token as an environmental variable in your console by using set(Windows Shell) or export(Linux Shell) e.g
    • Linux: export NGC_API_TOKEN=YOUR_NGC_API_TOKEN
    • Windows: set NGC_API_TOKEN=YOUR_NGC_API_TOKEN
  • Please follow these steps to create the image pull secret.

Example instructions and console output:

$ kubectl create secret -n omni-streaming docker-registry regcred \
    --docker-server=nvcr.io \
    --docker-username='$oauthtoken' \
    --docker-password=$NGC_API_TOKEN \
    --dry-run=client -o json | \
    kubectl apply -f -
secret/regcred created

Install NVIDIA GPU Operator on AKS

The NVIDIA GPU Operator is needed to discover, label and install drivers on your NVIDIA GPU K8S Worker nodes.

  • Please follow these instructions to install the GPU Operator on your AKS Cluster
  • Ensure to only use the supported driver versions

Example instructions and console output:

$ helm install --wait --generate-name \
   -n gpu-operator --create-namespace \
   --repo https://helm.ngc.nvidia.com/nvidia \
   gpu-operator \
   --set driver.version=535.104.05

NAME: gpu-operator-1731594276
LAST DEPLOYED: Thu Nov 14 15:24:43 2024
NAMESPACE: gpu-operator
STATUS: deployed
REVISION: 1
TEST SUITE: None

Install Memcached on AKS

Memcached is a critical component for enabling fast startup of Kit streaming sessions. It caches shader information that would otherwise need to be compiled at the startup of each container. You can find more information on Shader Caching in the NVIDIA documentation.

In the next step the values.yaml for Memcached, which was provided with the downloaded sample files, needs to be modified to ensure that the memcached Pods run on the desired memory optimized nodes (e.g cachepool). This is done by updating values which translate into nodeSelector terms which help Kubernetes schedule(run) memcached pods on the AKS cachepool K8S worker nodes.

  • Open the downloaded values.yaml file for memcached in your working directory e.g. helm/memcached/values.yml
  • In the file you will find the following section:
nodeSelector:
  NodeGroup: cache
  • Rename the key NodeGroup to agentpool
  • Rename the value cache to cachepool

The additional worker nodes agentpool created in this setup have the Kubernetes Label agentpool=cachepool set for them. You can find the labels of your worker nodes by executing kubectl get nodes --show-labels | grep agentpool and looking for the label value, or by using kubectl describe on your worker node.

Your final values.yaml file for memcached should look now similar to this: 
args:
  - /run.sh
  - -m 10240m
  - -I 1024m
resources:
  limits:
    memory: 20Gi
    cpu: 4
  requests:
    memory: 10Gi
    cpu: 2
extraEvnVars:
  - name: MEMCACHED_MAX_CONNECTIONS
    value: 2000
  - name: MEMCACHED_THREADS
    value: 8
nodeSelector:
  agentpool: cachepool
replicaCount: 1
service:
  clusterIP: None
architecture: high-availability

After above change, you are now ready to install memcached on your Kubernetes cluster.

  • Ensure you are in your working directory to reference the values.yaml file you modified in the next steps helm installation.
  • Please follow these instructions to install the memcached service.
Example commands and console outputs: 
$ helm upgrade --install \
  -n omni-streaming --create-namespace \
  -f helm/memcached/values.yml \
  --repo https://charts.bitnami.com/bitnami \
  memcached-service-r3 memcached

Release "memcached-service-r3" does not exist. Installing it now.
NAME: memcached-service-r3
LAST DEPLOYED: Fri Nov 15 10:07:01 2024
NAMESPACE: omni-streaming
STATUS: deployed
REVISION: 1
TEST SUITE: None
NOTES:
CHART NAME: memcached
CHART VERSION: 7.5.2
APP VERSION: 1.6.32

** Please be patient while the chart is being deployed **

Memcached can be accessed via port 11211 on the following DNS name from within your cluster:

    memcached-service-r3.omni-streaming.svc.cluster.local

Install Flux on AKS

The components of the CNCF project Flux are used to manage the deployment of streaming applications. This approach makes the deployment and the management of Helm repositories and the resources more declarative and easier to manage.

In the next step the values.yaml for Flux2, which was provided with the downloaded sample files, needs to be modified to ensure that the Flux Pods run on the desired Nodes (our default agentpool/CPU nodes). This is done by updating values which translate into nodeSelector terms which help Kubernetes schedule(run) Flux2 pods on default CPU worker nodes.

  • Open the downloaded values.yaml file for flux in your working directory e.g. helm/flux2/values.yaml
  • Update both sections for the helmController and the sourceController in the file:
        nodeSelectorTerms:
        - matchExpressions:
          - key: NodeGroup
            operator: In
            values:
            - system
  • Change the key from NodeGroup to agentpool
  • Change the values from system to agentpool

The default CPU worker nodes agentpool created in this setup have the Kubernetes Label agentpool=agentpool set for them. You can find the labels of your worker nodes by executing kubectl get nodes --show-labels | grep agentpool and looking for the label value, or by using kubectl describe on your worker node.

Your final values.yaml file for Flux should look now similar to this: 
helmController:
  create: true
  affinity:
    nodeAffinity:
      requiredDuringSchedulingIgnoredDuringExecution:
        nodeSelectorTerms:
        - matchExpressions:
          - key: agentpool
            operator: In
            values:
            - agentpool
imageAutomationController:
  create: false
kustomizeController:
  create: false
notificationController:
  create: false
imageReflectionController:
  create: false
policies:
  create: false
rbac:
  create: true
sourceController:
  create: true
  affinity:
    nodeAffinity:
      requiredDuringSchedulingIgnoredDuringExecution:
        nodeSelectorTerms:
        - matchExpressions:
          - key: agentpool
            operator: In
            values:
            - agentpool

After above change, you are now ready to install Flux2 on your Kubernetes cluster.

  • Ensure you are your working directory to reference the values.yaml file you modified in the next steps helm installation.
  • Please follow these instructions to install the Flux Helm Controller and Flux Source Controller.
Example commands and console outputs: 
$ kubectl create namespace flux-operators
namespace/flux-operators created

$ helm upgrade --install \
  --namespace flux-operators \
  -f helm/flux2/values.yaml \
fluxcd fluxcd-community/flux2

Release "fluxcd" does not exist. Installing it now.
NAME: fluxcd
LAST DEPLOYED: Fri Nov 15 00:41:10 2024
NAMESPACE: flux-operators
STATUS: deployed
REVISION: 1
TEST SUITE: None

Install Omniverse Resource Management Control Plane (RMCP) on AKS

The NVIDIA Omniverse Resource Management Control Plane Service is used to manage the deployment of streaming sessions.

  • Your NGC API Token, created during the pre-requisite steps is needed again
  • Follow these steps to create an additional secret ngc-omni-user.

In the next step the values.yaml for RMCP, which was provided with the downloaded sample files, needs to be modified to ensure that the RMCP Pods run on the desired default nodes (e.g agentpool).

  • Open the downloaded values.yaml file for RMCP in your working directory e.g. helm/kit-appstreaming-rmcp/values.yml
  • In the file you will find the following section:
        nodeSelectorTerms:
          - matchExpressions:
              - key: NodeGroup
                operator: In
                values:
                  - System
  • Change the key NodeGroup to agentpool
  • Change the value System to agentpool

You can integrate the API services with Prometheus. In this guide, Prometheus integration is assumed to be deactivated for simplicity. Follow below steps to deactivate the Prometheus integration:

  • In the file you will find the following section:
  monitoring:
    # -- Enables the creation of ServiceMonitor resource.
    enabled: true
    # -- Prometheus namespace.
    prometheusNamespace: "omni-streaming"
  • Change enabled to false
Your final values.yaml file sections for RMCP should look now similar to this: 
...

  affinity:
    nodeAffinity:
      requiredDuringSchedulingIgnoredDuringExecution:
        nodeSelectorTerms:
          - matchExpressions:
              - key: agentpool
                operator: In
                values:
                  - agentpool

  monitoring:
    # -- Enables the creation of ServiceMonitor resource.
    enabled: false
...

After above change, you are now ready to install RMCP on your Kubernetes cluster.

  • Ensure you are your working directory to reference the values.yaml file you modified in the next steps helm installation.
  • Please follow these instructions to install RMCP.
Example commands and console outputs: 
$ helm upgrade --install \
  --namespace omni-streaming \
  -f helm/kit-appstreaming-rmcp/values.yaml  \
  rmcp omniverse/kit-appstreaming-rmcp
  
Release "rmcp" does not exist. Installing it now.
NAME: rmcp
LAST DEPLOYED: Fri Nov 15 12:43:44 2024
NAMESPACE: omni-streaming
STATUS: deployed
REVISION: 1
TEST SUITE: None

Create and deploy a custom Omniverse Kit Application

Upload ISV custom kit app to a Container Registry

The containerized kit app needs to be accessible by Kubernetes to provide the OV kit app streaming functionality, hence the ISV needs to use either one of their own existing container registries or create a private Azure Container Registry for this project that holds the containerized ISV Kit App.

See APPLICATION_DEVELOPMENT.md to create the required containerized Omniverse Kit application.

Omniverse Kit is a powerful toolkit for developers to build applications, plugins, or microservices for their own ecosystems. In this document, we describe leveraging Omniverse Kit to build a custom rendering application.

Configure ISV Custom Kit App for Deployment

This is where you need to set the YAML files values to pull the specific version of the ISV custom kit app previously uploaded to an accessible Container Registry (e.g. private Azure Container Registry in same Resource Group).

Omniverse Kit App Streaming allows you to register different Kit containers as potential candidates for streaming sessions. To use your custom container, you will need to register a new application, application-version, and application-profile.

  • Application - the overall Kit Application that you want to make available for streaming.
  • ApplicationVersion - a specific release or version of an application.
  • Application Profile - the runtime configuration and deployment settings to use when instantiating a Kit Application stream.

You can read more about integrating and managing containerized Omniverse Kit Applications in the official Omniverse Kit App Streaming documentation here: https://docs.omniverse.nvidia.com/ovas/latest/deployments/apps/index.html

Specifically, be sure to change the image and imagePullSecrets values application-profile.yaml and application-version.yaml before applying the modified helm charts to your cluster.

If your container registry is guarded by a secret, you will need to configure an Image Registry Pull Secret. You can read more about this here: https://docs.omniverse.nvidia.com/ovas/latest/deployments/infra/installation.html#create-image-registry-pull-secret]

$ kubectl create secret -n omni-streaming docker-registry myregcred\ 
            --docker-server=<TODO\> \  
            --docker-username=<TODO\> \ 
            --docker-password=<TODO\> \ 
            --dry-run=client -o json |  
            kubectl apply -f -

secret/myregcred created

More detailed information may be found at Deploying Omniverse Kit Applications — Omniverse Application Streaming API latest documentation

For the bundled sample kit app the matching configuration values:

appId: 'usd-viewer-msft',  
version: '106.1.0',  
profile: 'azurelb-wss',

Upload ISV custom kit app to a Container Registry

The containerized kit app needs to be accessible by Kubernetes to provide the OV kit app streaming functionality, hence the ISV needs to use either one of their own existing container registries or create a private Azure Container Registry for this project that holds the containerized ISV Kit App.

Create Azure Container Registry using the Azure Portal

Create a Private Container Registry

  • Click on the + Create a resource button.
  • Search for "Container Registry" in the search bar.
  • Select Container Registry from the results.
  • Click on the Create button.
  • Fill in the required information:
    • Registry name: Enter a unique name for your container registry (e.g., "my-container-registry").
    • Resource group: Select the resource group you created in Step 2.
    • Location: Choose a location for your container registry (e.g., "East US").
    • SKU: Select the desired SKU for your container registry (e.g., "Standard").
    • Admin user: Choose whether to enable or disable the admin user.
  • Click on the Create button.

Configure the Private Container Registry

  • Go to the Private Container Registry resource you created in Step 3.
  • Click on the Settings tab.
  • Configure the following settings as desired:
    • Repository: Create a new repository or link to an existing one.
    • Access policies: Configure access policies for your registry.
    • Network policies: Configure network policies for your registry.
  • Click on the Save button.

Create a Service Principal for Authentication

  • Go to the Azure Active Directory resource.
  • Click on the App registrations tab.
  • Click on the + New registration button.
  • Fill in the required information:
    • Name: Enter a unique name for your service principal (e.g., "my-container-registry-sp").
    • Supported account types: Select "Accounts in this organizational directory only".
  • Click on the Register button.
  • Go to the Certificates & secrets tab.
  • Click on the + New client secret button.
  • Fill in the required information:
    • Description: Enter a description for your client secret (e.g., "my-container-registry-sp-secret").
  • Click on the Add button.
  • Copy the client secret value.

Configure Docker to Use the Private Container Registry

  • Install Docker on your machine if you haven't already.
  • Run the following command to configure Docker to use your private container registry:
$ docker login <registry-name>.azurecr.io

Replace <registry-name> with the name of your container registry (e.g., "my-container-registry").

  • Enter the username and password for your service principal when prompted.

Push the Docker Image to the Azure Private Container Registry

  • Run the following command to push the Docker image to your ACR:
$ docker push <registry-name>.azurecr.io/<image-name>

Replace <registry-name> with the name of your ACR (e.g., "my-container-registry") and <image-name> with the name of the Docker image you want to upload (e.g., "hello-world").

Verify the Private Container Registry

  • Run the following command to verify that your private container registry is working correctly:
$ docker pull <registry-name>.azurecr.io/<image-name>

Upload Helm Charts etc from NGC recommendation

Note: Kubernetes containers and Helm charts are retrieved from NGC. Omniverse Application Streaming API | NVIDIA NGC

Helm Chart Deployment and Configuration

Set environment-specific values

At a minimum, the following values need to be changed to suit your environment. Note: Instructions for this are specified in the following steps.

  • helm/nginx-ingress-controller/values-internal.yaml
service.beta.kubernetes.io/azure-load-balancer-resource-group: <name of resource group>
  • helm/kit-appstreaming-applications/values.yaml
host: api.<private DNS zone>
...
repository: <kit appstreaming applications container URL>
  • helm/kit-appstreaming-manager/values.yaml
host: api.<private DNS zone>  
backend_csp_args.base_domain: <public DNS zone>

Internal ingress controller helm nginx ingress controller

Check values file; make sure resource group is correct in annotations. File is located at helm/nginx-ingress-controller/values-internal.yaml

service.beta.kubernetes.io/azure-load-balancer-resource-group: <name of resource group>
$ helm repo add bitnami https://charts.bitnami.com/bitnami

$ helm repo update

$ helm upgrade -i nginx-ingress-controller-internal -n nginx-ingress-controller --create-namespace -f helm/nginx-ingress-controller/values-internal.yaml bitnami/nginx-ingress-controller

Ensure the Service of type LoadBalancer is provisioned with a private external IP (i.e. does not say Pending; check output of kubectl get svc -A)

  • This private IP should be within the range of the subnet-aks subnet! If it's not, double-check that the cluster was deployed within your own vnet and not a managed one (see AKS instructions above)
  $ kubectl get svc -n nginx-ingress-controller

ExternalDNS scripts external dns

Create a service principal and assign the correct roles via the first script. Edit the scripts/external-dns/01-create-sp-for-rbac.sh file with the desired values:

SUBSCRIPTION_ID="<SUBSCRIPTION_ID>"

EXTERNALDNS_NEW_SP_NAME="<name of the service principal>"

AZURE_DNS_ZONE_RESOURCE_GROUP="<name of resource group>"

AZURE_DNS_ZONE="<name of public DNS Zone>"

Execute ./scripts/external-dns/01-create-sp-for-rbac.sh.

Example output:

$ ./scripts/external-dns/01-create-sp-for-rbac.sh

WARNING: The output includes credentials that you must protect. Be sure that you do not include these credentials in your code or check the credentials into your source control. For more information, see https://aka.ms/azadsp-cli Client ID: <CLIENT ID HERE> Client secret: <CLIENT SECRET HERE>

Copy azure.json.template to azure.json and add the above 'client ID', 'secret', 'resource group' and 'subscription ID'.

Create azure.json file with new credentials:

 {   
  "tenantId": "<Your-tentent-ID>",
  "subscriptionId": "<your-subscription-id>",
  "resourceGroup": "<dns-zone-rg>",
  "aadClientId": "<client-id>",
  "aadClientSecret": "<client-secret>"
}

Execute the following:

$ kubectl create secret generic azure-config-file --namespace "default" --from-file ./scripts/external-dns/azure.json

Edit scripts/external-dns/03-external-dns-manifest.yaml and edit appropriate values for --domain-filter and --azure-resource-group.

spec:
  serviceAccountName: external-dns
  containers:
    - name: external-dns
      image: registry.k8s.io/external-dns/external-dns:v0.14.2
      args:
        - --source=service
        - --source=ingress
        - --domain-filter=<public DNS domain>
        - --provider=azure
        - --azure-resource-group=<name of resource group>
        - --txt-prefix=externaldns-
      volumeMounts:
        - name: azure-config-file
          mountPath: /etc/kubernetes
          readonly: true

Apply the External DNS Manifest.

$ kubectl apply -f scripts/external-dns/03-external-dns-manifest.yaml

Omniverse Kit App Streaming Services

Streaming helm kit appstreaming manager

Check helm/kit-appstreaming-manager/values.yaml file and update DNS names accordingly:

ingress:
  host: api.<your-private-domain> 	   
  className: internal-nginx...

Enable WSS:

backend_csp_cls: "nv.svc.streaming._csp.Generic"    
backend_csp_args:      
  enable_wss: true 
  base_domain: "<public DNS domain>"

Deploy helm/kit-appstreaming-manager by running:

$ helm upgrade --install --namespace omni-streaming -f helm/kit-appstreaming-manager/values.yaml streaming omniverse/kit-appstreaming-manager

Applications helm kit appstreaming applications

Check helm/kit-appstreaming-applications/values.yaml file and update DNS names accordingly:

ingress:
  host: api.<private domain name>

Deploy helm/kit-appstreaming-applications by running:

$ helm upgrade --install --namespace omni-streaming -f helm/kit-appstreaming-applications/values.yaml applications omniverse/kit-appstreaming-applications

Deploy the custom streaming resources manifests omniverse azure

Enable WSS, open manifests/omniverse/azure/application-profile-wss.yaml and edit the following sections listed below:

spec:
  name: AzureLB example profile
  description: Default profile - uses an AzureLB per stream
  supportedApplications:
    - name: "contoso-application"  <--- Edit the name to reflect the Kit application's name.
    versions:
      - '*'   <--- Edit the versions to reflect which versions are intended to be supported.

Then run:

$ kubectl apply -n omni-streaming -f application.yaml

$ kubectl apply -n omni-streaming -f application-version.yaml

$ kubectl apply -n omni-streaming -f application-profile-wss.yaml

Deploy HelmRepository manifests helm repostiories

Execute the following:

$ kubectl apply -n omni-streaming -f manifests/helm-repositories/ngc-omniverse.yaml

This should (eventually) show READY: True in the output of:

Create private DNS record for ingress controller

Go to the Private DNS Zone you created. Create the following recordset:

api.contoso-ov-kitappstreaming.net -> private external ip of ingress controller LB service (e.g. 10.2.0.120 shown below)

Create public DNS entry for App Gateway

Navigate to the Public DNS Zone (ex. kitstreaming.iai-contoso.com) and create an A Recordset that points to the IP address of the Public IP address used in your resource group.

Validate Omniverse Kit App Streaming End Points via Swagger UI

Before proceeding with installing web front end, let’s validate the backend services are functioning nominally using the REST API Documentation Tool | Swagger UI.

Using the domain name URL where the Omniverse Kit App Streaming is running, append “/application/docs” or “/streaming/docs” to that URL to get respective Swagger UI web page. 👀 For example, if public domain URL is https://ignite.streaming.iai-contoso.com then the Swagger will be at https://ignite.streaming.iai-contoso.com/streaming.

For the API calls, drop the /docs from the URL to test.

  • ‘appserver’ = https://ignite.streaming.iai-contoso.com/applications

  • ‘streamingServer’ = https://ignite.streaming.iai-contoso.com/streaming

Now validate the backend running using the following steps, in the order presented.

  1. GET ${appServer}/cfg/apps

    => Expect return list containing an entry ‘app_id‘ = “omni-viewer-msft"

  2. GET ${appServer}/cfg/apps/${appId}/versions

    1. Enter “app_id” = omni-viewer-msft

    => Expect return of ‘appVersion’ = “106.1.0”

  3. GET ${appServer}/cfg/apps/${appId}/versions/${appVersion}/profiles

    1. Enter “app_id” = “omni-viewer-msft"

    2. Enter ‘appVersion’ = “106.1.0”

    => Expect return of “azurelb-wss”

  4. POST ${streamServer}/streaming/stream

    Create a stream

    => Returns a ‘session_id’ in GUID format

  5. GET ${streamServer}/streaming/stream

    => Returns streaming sessions

  6. GET ${streamServer}/streaming/stream/${sessionId}

    1. Enter ‘session_id' =

    => Returns information about the stream

    (may need to poll until returns with ‘condition’ == ‘ready’)

    Note: Should have “routes” JSON filled in.

  7. DELETE ${streamServer}/streaming/stream

    1. The session_id “id”: needs to be supplied in the JSON request body.

  8. GET ${streamServer}/streaming/stream

    => Verify streaming session no longer listed.

ISV Web App deployment

An opinionated example web app is provided for reference as a starting point; with ISV developers expected and encouraged to further customize these examples for their own use cases. This section expands on the ISV Web App portion of the overall architecture diagram.

See APPLICATION_DEVELOPMENT.md to create the web app.

Deploying Web Client Application in Azure

This section focuses on installing and deploying the bundled sample web client front-end. See APPLICATION_DEVELOPMENT.md for information on developing this custom ISV web client sample. For the purposes of this sample, presume that the web client is going to be deployed as an Azure Static Web App (the ‘www’ icon in above diagram).

The ‘Dashboard’ provides the top-level index.html and React ‘App.tsx’ that presents two panels with the Power BI Report (IoT) on left overlayed on the Omniverse powered 3D Viewport on right, which are kept in sync by the Redux based web App State.

3D Viewport Hints

Once the Web App fully deploys users should be able to navigate around in the 3D Viewport panel using mouse controls or WSAD movement. Viewport Navigation — Omniverse Extensions latest documentation When an object in the 3D Viewport scene is “picked” (left mouse click), that information is sent to the Power BI Report. Note that only pre-specified objects in the scene are pickable.

3D Streaming Test

There is also a developer focused “test” panel available in ‘web-app/src/debug’ sub-folder for testing end-to-end streaming and messaging functionality between Omniverse front-end and back-end for both local streaming and remote cloud streaming scenarios. Please see APPLICATION_DEVELOPMENT.md for more information.

Configuration

In the web-app folder there is a .env file at the root and authConfig.tsx in src folder for all business parameters to be set.

Power BI React Component Configuration

Azure Apps Registration

Add permissions (admin consent not required) required to allow associated services access.

  • API Permissions tab

    • Power BI Service

      • Report.Read.All

      • Dataset.Read.All

    • Microsoft.EventHubs

      • user_impersonation

    • Azure Storage

      • user_impersonation

Note: Resulting value from scope 'https://analysis.windows.net/powerbi/api/Report.Read.All' and activeAccount used to retrieve JWT token with PowerBI scope given from appregistration.

Power BI Workspace Settings

Ensure that in Power BI Workspace Settings the License Info -> License Configuration has been assigned for this Azure tenant.

  • Current license: Fabric capacity

  • License Capacity: name with SKU set to number of different users in region using this capacity, e.g. name: ignitecapacityaio, SKU: F4, Region: West US 3

  • Semantic model storage format: Small semantic model storage format

Power BI Data Connections

Within Power BI workspace connects Power BI custom report to two Azure Data Explorer (ADX) datasets: digital_twins, and FluidCell.

The Power BI report was modified to have a transparent background so it overlays what is behind it (e.g. a 3D Viewport).

Information on embedding a custom Power BI report may be found at Power BI embedded analytics Client APIs | Microsoft Learn . The specifics for how this was done for this example may be found in the ‘EmbedPowerBIComponent’ typescript file in this project’s GitHub Repo. Microsoft copilot may also clarify and generate appropriate code.

In the .env file parameter values need to be examined closely.

  • POWERBI_EMBED_URL

    • This is actual embedded URL copied from the Power BI app “File | Embed” menu item embed content link from the “Securely embed this report in a website or portal” dialog.

    • Remove “&autoAuth=True” from the embed URL before pasting; otherwise, will receive an error.

  • Copy the value portion of the “?reportId=value” of the POWERBI_EMBED_URL and paste it into the POWERBI_REPORT_ID.

  • The POWERBI_TABLE_NAME value should be “digital_twins” to match the ADX Data Source name.

  • The POWERBI_TABLE_COLUMN_NAME value should be “module”, which needs to match the Power BI Slicer (filter) column name “module” in the “digital_twins” ADX Data table for this report.

  • The POWERBI_VISUAL_ID is more complicated to obtain because it needs to be retrieved at runtime from the “module” Power BI Slicer in the Power BI Report. One way to accomplish this is to add an ‘console.log(visual.name)’ statement in the eventHandlers when visual.type is ‘slicer’, then paste the returned value, which looks more like an id, are the value for this argument. This will be examined more closely below.

Note; The organization and description of these tables may be found in the associated Azure Data Explorer (ADX) time-series database Query page in the Azure Portal.

To get the POWERBI_VISUAL_ID of the Power BI for BI-Directional interaction from the 3D Viewport <> Power BI the Visual Slicer ID is needed to be filled out in the .env file with the parameter named POWERBI_VISUAL_ID. To get the POWERBI_VISUAL_ID of the Power BI Slicer see console.log noted here:

In the .env file set parameters POWERBI_TABLE_NAME and POWERBI_COLUMN_NAME to equal the table name and column name in the dataset inside the Power BI.

The values of the POWERBI_COLUMN_NAME matching the asset_id parameters set in the USD will allow for BI-Directional selection.

Once everything is setup correctly meshes or group of meshes with asset_id parameter assigned to them in USD matching the table.column in Power BI slicer the Bi-Directional selecting will appear as this:

We have included a sample USD with many assets mapped with asset_id. Please look in folder /src/assets/sample_assets/ open the scn_houston_facility/scn_houston_facility.usd in Omniverse USD Composer to notice the asset_id in the Raw propeties on certain assets like Pump 1 or Pump 2. This how the Bi-Directional selectability interaction occurs. If the asset_id maps to POWERBI_VISUAL_ID selection because of the setup above Bi-Directional selectability from Power BI slicer to 3D viewport and 3D viewport to Power BI slicer will occur.

Event Hubs

Add role assignments to the Event Hubs Namespace and Event Hub itself via Access Control (IAM):

  • Azure Event Hubs Data Receiver

  • Azure Events Hub Data Sender

Event Hub React Component Configuration

At the top of the screen selected Event Hub stream values received from the Azure IoT Operations are being updated. This is configured via the .env paramaters values:

  • EVENTHUB_RESOURCE_URL

  • EVENTHUB_NAME

  • EVENTHUB_GROUP_NAME

For this to work, a new token needs to be retrieved with the proper scope, which is specified in more detail in EventHubStreamCompoment typescript file in this project’s rep, which subcribe to processInitialize(), processClose(), and processEvents() methods via a WebSocket connection.

Note: The processEvents() callback performs a check on the current pressure and updates the Redux based global state.

To use the event data inside the 3D viewport the global state must be updated. We provide a simple example in code in the file EventHubStreamComponent. The data payload will be JSON and can be parsed and sent as needed shown here:

For a more general tutorial on how to does this, please see Send or receive events using JavaScript - Azure Event Hubs | Microsoft Learn

Azure Static Web Application Deployment

The web-app sub-folder in the GitHub repo includes everything in ISV Web App, including Power BI component, Redux component, and 3D Viewport Component. The Power BI React Component provides the integration between Power BI Reports and the Redux based global state manager via Redux Slices and Reducers. The 3D Viewport Component encapsulates the Omniverse Streaming functionality and likewise provides the integration with the Redux global state manager via Slices and Reducers.

See APPLICATION_DEVELOPMENT.md to create the web-app.

Deploying a React App to Azure Static Web Apps using Azure Portal

Create a New Azure Static Web App
  1. Log in to the Azure Portal at https://portal.azure.com/.
  2. Click on Create a resource and search for Static Web Apps.
  3. Click on Static Web Apps and then click on Create.
  4. Fill in the required details:
    1. Subscription: Select your Azure subscription.
    2. Resource group: Create a new resource group or select an existing one.
    3. Name: Enter a name for your Static Web App.
    4. Account plan: Select a plan that suits your needs.
  5. Click on Review + create and then Create.
Configure the Static Web App
  1. Once the deployment is complete, navigate to your newly created Static Web App.
  2. Click on Configuration under the Settings section.
  3. Configure the following settings:
    1. Default document: Set to index.html.
    2. Default directory: Set to the root directory of your React app (usually public or build).
    3. Route rules: Configure any route rules as needed for your app.
Deploy Your React App
  1. Click on Deployment under the Settings section.
  2. Click on Connect to GitHub (or your preferred repository provider).
  3. Follow the prompts to connect your repository to Azure.
  4. Select the repository and branch that contains your React app.
  5. Azure will automatically detect the build configuration and deploy your app.
Verify the Deployment
  1. Once the deployment is complete, navigate to the Overview section of your Static Web App.
  2. Click on the Site URL to verify that your React app is deployed and accessible.

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