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Tutorial: Transform data with Azure Stack Edge Pro FPGA for advanced deployment flow

Important

Azure Stack Edge Pro FPGA devices will reach end-of-life in February 2024. If you are considering new deployments, we recommend that you explore Azure Stack Edge Pro 2 or Azure Stack Edge Pro GPU devices for your workloads.

This tutorial describes how to configure a compute role for an advanced deployment flow on your Azure Stack Edge Pro FPGA device. After you configure the compute role, Azure Stack Edge Pro FPGA can transform data before sending it to Azure.

Compute can be configured for simple or advanced deployment flow on your device.

Criteria Simple deployment Advanced deployment
Intended for IT administrators Developers
Type Use Azure Stack Edge service to deploy modules Use IoT Hub service to deploy modules
Modules deployed Single Chained or multiple modules

This procedure can take around 20 to 30 minutes to complete.

In this tutorial, you learn how to:

  • Configure compute
  • Add shares
  • Add a trigger
  • Add a compute module
  • Verify data transform and transfer

Prerequisites

Before you set up a compute role on your Azure Stack Edge Pro FPGA device, make sure that:

Configure compute

To configure compute on your Azure Stack Edge Pro FPGA, you'll create an IoT Hub resource.

  1. In the Azure portal of your Azure Stack Edge resource, go to Overview. In the right-pane, select the IoT Edge tile.

    Get started with compute

  2. On the Enable IoT Edge service tile, select Add. This action enables IoT Edge service that lets you deploy IoT Edge modules locally on your device.

    Get started with compute 2

  3. On the Create IoT Edge service, input the following:

    Field Value
    Subscription Select a subscription for your IoT Hub resource. You can select the same subscription as that used by the Azure Stack Edge resource.
    Resource group Enter a name for the resource group for your IoT Hub resource. You can select the same resource group as that used by the Azure Stack Edge resource.
    IoT Hub Choose from New or Existing.
    By default, a Standard tier (S1) is used to create an IoT resource. To use a free tier IoT resource, create one and then select the existing resource.
    Name Accept the default or enter a name for your IoT Hub resource.

    Get started with compute 3

  4. Select Review + Create. The IoT Hub resource creation takes a couple minutes. After the IoT Hub resource is created, the Overview updates to indicate that the IoT Edge service is running.

    When the IoT Edge service is configured on the Edge device, it creates two devices: an IoT device and an IoT Edge device. Both devices can be viewed in the IoT Hub resource. An IoT Edge Runtime is also running on this IoT Edge device. At this point, only the Linux platform is available for your IoT Edge device.

    To confirm that the Edge compute role has been configured, select IoT Edge service > Properties and view the IoT device and the IoT Edge device.

    Get started with compute 4

Add shares

For the advanced deployment in this tutorial, you'll need two shares: one Edge share and another Edge local share.

  1. Add an Edge share on the device by doing the following steps:

    1. In your Azure Stack Edge resource, go to IoT Edge > Shares.

    2. On the Shares page, from the command bar, select + Add share.

    3. On the Add share blade, provide the share name and select the share type.

    4. To mount the Edge share, select the check box for Use the share with Edge compute.

    5. Select the Storage account, Storage service, an existing user, and then select Create.

      Add an Edge share

    After the Edge share is created, you'll receive a successful creation notification. The share list is updated to reflect the new share.

  2. Add an Edge local share on the Edge device by repeating all the steps in the preceding step and selecting the check box for Configure as Edge local share. The data in the local share stays on the device.

    Add an Edge local share

  3. On the Shares blade, you see the updated list of shares.

    Updated list of shares

  4. To view the properties of the newly created local share, select the share from the list. In the Local mount point for Edge compute modules box, copy the value corresponding to this share.

    You'll use this local mount point when you deploy the module.

    The "Local mount point for Edge compute modules" box

  5. To view the properties of the Edge share that you created, select the share from the list. In the Local mount point for Edge compute modules box, copy the value corresponding to this share.

    You'll use this local mount point when you deploy the module.

    Add custom module

Add a trigger

  1. Go to your Azure Stack Edge resource and then go to IoT Edge > Triggers. Select + Add trigger.

    Add trigger

  2. In the Add trigger blade, input the following values.

    Field Value
    Trigger name A unique name for your trigger.
    Trigger type Select File trigger. A file trigger fires whenever a file event occurs such as a file is written to the input share. A scheduled trigger on the other hand, fires up based on a schedule defined by you. For this example, we need a file trigger.
    Input share Select an input share. The Edge local share is the input share in this case. The module used here moves files from the Edge local share to an Edge share where they are uploaded into the cloud.

    Add trigger 2

  3. You are notified after the trigger is created. The list of triggers is updated to display the newly created trigger. Select the trigger you just created.

    Add trigger 3

  4. Copy and save the sample route. You will modify this sample route and use it later in the IoT Hub.

    "sampleroute": "FROM /* WHERE topic = 'mydbesmbedgelocalshare1' INTO BrokeredEndpoint(\"/modules/modulename/inputs/input1\")"

    Add trigger 4

Add a module

There are no custom modules on this Edge device. You could add a custom or a pre-built module. To learn how to create a custom module, go to Develop a C# module for your Azure Stack Edge Pro FPGA device.

In this section, you add a custom module to the IoT Edge device that you created in Develop a C# module for your Azure Stack Edge Pro FPGA. This custom module takes files from an Edge local share on the Edge device and moves them to an Edge (cloud) share on the device. The cloud share then pushes the files to the Azure storage account that's associated with the cloud share.

  1. Go to your Azure Stack Edge resource and then go to IoT Edge > Overview. On the Modules tile, select Go to Azure IoT Hub.

    Select advanced deployment

  1. In your IoT Hub resource, go to IoT Edge device and then select your IoT Edge device.

    Go to IoT Edge device in IoT Hub

  2. On Device details, select Set Modules.

    The Set Modules link

  3. Under Add Modules, do the following:

    1. Enter the name, address, user name, and password for the container registry settings for the custom module. The name, address, and listed credentials are used to retrieve modules with a matching URL. To deploy this module, under Deployment modules, select IoT Edge module. This IoT Edge module is a docker container that you can deploy to the IoT Edge device that's associated with your Azure Stack Edge Pro FPGA device.

      The Set Modules page

    2. Specify the settings for the IoT Edge custom module. Input the following values.

      Field Value
      Name A unique name for the module. This module is a docker container that you can deploy to the IoT Edge device associated with your Azure Stack Edge Pro FPGA.
      Image URI The image URI for the corresponding container image for the module.
      Credentials required If checked, username and password are used to retrieve modules with a matching URL.

      In the Container Create Options box, enter the local mount points for the Edge modules that you copied in the preceding steps for the Edge share and Edge local share.

      Important

      The paths used here are mounted into your container, so they must match what the functionality in your container expects. If you're following Create a custom module, the code specified in that module expects the copied paths. Do not modify these paths.

      In the Container Create Options box, you can paste the following sample:

      {
        "HostConfig": 
        {
         "Binds": 
          [
           "/home/hcsshares/mydbesmbedgelocalshare1:/home/input",
           "/home/hcsshares/mydbesmbedgeshare1:/home/output"
          ]
         }
      }
      

      Provide any environmental variables used for your module. Environmental variables provide optional information that help define the environment in which your module runs.

      The Container Create Options box

    3. If necessary, configure the advanced Edge runtime settings, and then click Next.

      Add custom module 2

  4. Under Specify Routes, set routes between modules.

    The Specify Routes

    You can replace route with the following route string that you copied earlier. In this example, enter the name of the local share that will push data to the cloud share. Replace the modulename with the name of the module. Select Next.

    "route": "FROM /* WHERE topic = 'mydbesmbedgelocalshare1' INTO BrokeredEndpoint(\"/modules/filemove/inputs/input1\")"
    

    The Specify Routes section

  5. Under Review deployment, review all the settings, and then select Submit to submit the module for deployment.

    The Set Modules page 2

    This action starts the module deployment. After the deployment is complete, the Runtime status of module is running.

    Add custom module 3

Verify data transform, transfer

The final step is to ensure that the module is connected and running as expected. The run-time status of the module should be running for your IoT Edge device in the IoT Hub resource.

Take the following steps to verify data transform and transfer to Azure.

  1. In File Explorer, connect to both the Edge local and Edge shares you created previously.

    Verify data transform

  2. Add data to the local share.

    Verify data transform 2

    The data gets moved to the cloud share.

    Verify data transform 3

    The data is then pushed from the cloud share to the storage account. To view the data, go to your storage account and then select Storage Explorer. You can view the uploaded data in your storage account.

    Verify data transform 4

You have completed the validation process.

Next steps

In this tutorial, you learned how to:

  • Configure compute
  • Add shares
  • Add a trigger
  • Add a compute module
  • Verify data transform and transfer

To learn how to administer your Azure Stack Edge Pro FPGA device, see: