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Troubleshoot IoT Edge issues on your Azure Stack Edge Pro GPU device

  • Artikkeli

APPLIES TO: Yes for Pro GPU SKUAzure Stack Edge Pro - GPUYes for Pro 2 SKUAzure Stack Edge Pro 2Yes for Pro R SKUAzure Stack Edge Pro RYes for Mini R SKUAzure Stack Edge Mini R                  

This article describes how to troubleshoot compute-related errors on an Azure Stack Edge Pro GPU device by reviewing runtime responses for the IoT Edge agent and errors for the IoT Edge service that's installed on your device.

Review IoT Edge runtime responses

Use the IoT Edge agent runtime responses to troubleshoot compute-related errors. Here is a list of possible responses:

  • 200 - OK
  • 400 - The deployment configuration is malformed or invalid.
  • 417 - The device doesn't have a deployment configuration set.
  • 412 - The schema version in the deployment configuration is invalid.
  • 406 - The IoT Edge device is offline or not sending status reports.
  • 500 - An error occurred in the IoT Edge runtime.

For more information, see IoT Edge Agent.

Troubleshoot IoT Edge service errors

The following errors are related to the IoT Edge service on your Azure Stack Edge Pro GPU device.

Compute modules have Unknown status and can't be used

Error description

All modules on the device show Unknown status and can't be used. The Unknown status persists through a reboot.

Suggested solution

Delete the IoT Edge service, and then redeploy the module(s). For more information, see Remove IoT Edge service.

Modules show as running but aren't working

Error description

The runtime status of the module shows as running, but you don't see the expected outcomes.

This condition may be caused by a module route configuration that's not working, or edgehub may not be routing messages as expected. You can check the edgehub logs. If you see errors such as failing to connect to the IoT Hub service, then the most common reason is the connectivity issues. The connectivity issues could occur because the AMPQ port that the IoT Hub service is using as a default port for communication is blocked or the web proxy server is blocking these messages.

Suggested solution

Take the following steps:

  1. To resolve the error, go to the IoT Hub resource for your device and then select your Edge device.
  2. Go to Set modules > Runtime settings.
  3. Add the Upstream protocol environment variable and assign it a value of AMQPWS. The messages configured in this case are sent over WebSockets via port 443.

Modules show as running but don't have an IP assigned

Error description

The runtime status of the module shows as running, but the containerized app doesn't have an IP address assigned.

This condition happens because the range of IPs you provided for Kubernetes external service IPs isn't sufficient. Extend this range to ensure that each container or VM that you deployed is covered.

Suggested solution

In the local web UI of your device, do the following steps:

  1. Go to the Compute page. Select the port for which you enabled the compute network.
  2. Enter a static, contiguous range of IPs for Kubernetes external service IPs. You need one IP for edgehub service. Additionally, you need one IP for each IoT Edge module and for each VM you'll deploy.
  3. Select Apply. The changed IP range should take effect immediately.

For more information, see Change external service IPs for containers.

Configure static IPs for IoT Edge modules

Problem description

Kubernetes assigns dynamic IPs to each IoT Edge module on your Azure Stack Edge Pro GPU device. A method is needed to configure static IPs for the modules.

Suggested solution

You can specify fixed IP addresses for your IoT Edge modules via the K8s-experimental section as described below:

{
  "k8s-experimental": {
    "serviceOptions" : {
      "loadBalancerIP" : "100.23.201.78",
      "type" : "LoadBalancer"
    }
  }
}

Expose Kubernetes service as cluster IP service for internal communication

Problem description

By default, the IoT service type is load balancer, and the service is assigned externally facing IP addresses. If an application needs Kubernetes pods within the Kubernetes cluster to access other pods in the cluster, you may need to configure the service as a cluster IP service instead of a load balancer service. For more information, see Kubernetes networking on your Azure Stack Edge Pro GPU device.

Suggested solution

You can use the create options via the K8s-experimental section. The following service option should work with port bindings.

{
"k8s-experimental": {
  "serviceOptions" : {
    "type" : "ClusterIP"
    }
  }
}

Not able to create or update IoT role

Problem description

When configuring the IoT device during setup, you may see the following error:

(Http status code: 400) Could not create or update IoT role on <YourDeviceName>. An error occurred with the error code {NO_PARAM}. For more information, refer to the error code details (https://aka.ms/dbe-error-codes). If the error persists, contact Microsoft Support.

Suggested solution

If your datacenter firewall is restricting or filtering traffic based on source IPs or MAC addresses, make sure that the compute IPs (Kubernetes node IPs) and MAC addresses are on the allowed list. The MAC addresses can be specified by running the Set-HcsMacAddressPool cmdlet on the PowerShell interface of the device.

Next steps