• REST API
• DotNet Client Samples
• Direct Methods API

The core scenario is driven by the need to store information locally on an edge device and administer that information either locally or remotely. There are numerous scenarios in play including offline, storing data locally for retraining of ML models, and acquisition of configuration information unavailable for certain scenarios. These drive a fundamental scenario where persistent data is required and needs to be managed on edge devices.

The Log Module is publicly available with

• Source
• Nuget Package for creating clients
• Docker Container ready-to-use

The Log module provides 3 APIs which 1 or more can be configure for use.

• REST API for inter-module operations
• Edge Hub API for inter-module operations
• Direct Methods API for either inter-module operations or external administration.

1 – HTTP REST API interface

2 – Edge Hub API interface

3 – Direct Methods interface

The IoT Edge Log Module is simple to setup and use. Follow this link for the Setup and Samples guides where we you how easy it can be to leverage persistent storage on your edge device and management it.

• Task 1 – Define docker volume(s) on Edge Device

  • Step 1: Logon edge device

  • Step 2: Create a docker volume using the command docker volume create <name>, e.g., docker volume create data

  • Step 3: Give read/write permission to docker volume

    • Execute the following command docker volume inspect <name>
    • Get the physical path of the docker volume.
    • Execute the following command sudo chmod -R ugo+rw <physical path>

• Task 2 – Create Azure Storage Account

  • Step 1: Create an Azure Storage Account if the portal

    • Copy the name of the storage account, .e.g.. "myteststore"
    • Copy the access key

• Task 3 – Create IoT Hub and Edge Device

  • Step 1: Go to Azure Portal and create an IoT Hub

  • Step 2: Create an edge device in within the IoT Hub, e.g., "edgedevice1"

• Task 4 – Add the Log Module to the Edge Device

  • Step 1: Click on edge device in portal

  • Step 2: Click "Set Modules"

  • Step 3: Under "Deployment Modules" click "+Add" and select "IoT Edge Module"

  • Step 4: Fill in the following information in the blade

    • Name: iotedge-logmodule
    • Image URI: skunklab/iotedge-logmodule
    • Container Create Options paste the following, which assumes your docker volume created is name "data", otherwise replace the highlight text with your docker volume name.

    { "ExposedPorts": { "8877/tcp": {} }, "HostConfig": { "Binds": [ "data:/app/data" ], "PortBindings": { "8877/tcp": [ { "HostPort": "8877" } ] } } }

  • Step 5: Add the following Environment Variables

    - Click Save
    - Click Next 2 times
    - Click Submit

The Log module is ready to be implemented. You will want to call the log module from another module. The Nuget Package already has clients in C#, such that you can implement another module to test. The following code can be used to write a file to the log module then upload to blob storage from another module.

public static async Task WriteNewFileAsync()

{
    string containerName = "iotedge-logmodule";

    int port = 8877;

    HttpLogModuleClient client = new HttpLogModuleClient(containerName, port);

    string path = "./data";

    string filename = "test.txt";

    byte[] body = Encoding.UTF8.GetBytes("The quick brown fox jumps over the lazy dog.");

    bool append = false;

    await client.WriteFile(path, filename, body, append);

}

public static async Task UploadFileAsync()

{

    string containerName = "iotedge-logmodule";

    int port = 8877;

    HttpLogModuleClient client = new HttpLogModuleClient(containerName, port);

    string path = "./data";

    string filename = "test.txt";

    string blobPath = "mycontainer";

    string blobFilename = "mytest.txt";

    string contentType = "text/plain";

    bool append = false;

   await client.UploadFile(path, filename, blobPath,

                           blobFilename, contentType, append);

}