Quick Start: Create and Deploy C# Functions in Azure Using CLI


This blog post will guide you through creating and deploying a C# function to Azure using command-line tools. This article will walk you through creating an HTTP-triggered function that runs on .NET 8 in an isolated worker process. By the end of this post, you will have a functional Azure Function that responds to HTTP requests.


In this article, you will:

  1. Install the Azure Functions Core Tools.
  2. Create a C# function that responds to HTTP requests.
  3. Test the function locally.
  4. Deploy the function to Azure.
  5. Access the function in Azure.


Ensure you have the following installed:

  • Azure CLI (version 2.4 or later)
  • .NET SDK (version 6.0 and 8.0)
  • Azure Functions Core Tools (version 4.x)

Step 0: Install Azure Functions Core Tools

  1. Uninstall previous versions (if any):
    • Open the Settings from the Start menu.
    • Select Apps.
    • Click on Installed apps.
    • Find Azure Function Core Tools, click the three dots next to it, and select Uninstall.
  2. Install the latest version:
    • Navigate to the Azure Function Core Tools downloads page: Install the Azure Functions Core Tools.
    • Download the appropriate version of Azure Functions Core Tools for your operating system. (Recommended. Visual Studio Code debugging requires 64-bit.) 
    • Follow the prompts: Click Next, accept the agreement, and click Install.

    • Click Finish once the installation is complete.

Step 1: Prerequisite Check

  1. Open Command Prompt and execute the following commands to verify your setup:
    • func --version – This is to check that the Azure Functions Core Tools are version 4.x.
    • dotnet --list-sdks – This checks that the required versions are installed. It should be 6.0 and 8.0
    • az --version to check that the Azure CLI version is 2.4 or later.

  2. az login to sign in to Azure and verify an active subscription. Select your login in the browser that opens up. Log in to Azure when prompted:
    • A browser window will open. You can just select your Azure account to sign in.
    • The command prompt will display your Azure login details.

Step 2: Create a Local Function Project

  1. Initialize the function project: Run the func init command, as follows, to create a functions project in a folder named LocalFunctionProj with the specified runtime:
    func init LocalFunctionProj --worker-runtime dotnet-isolated --target-framework net8.0
    cd LocalFunctionProj

    This folder contains various files for the project, including configuration files named local.settings.json and host.json. Because local.settings.json can contain secrets downloaded from Azure, the .gitignore file excludes it from source control by default.

  2. Add a new HTTP-triggered function:
    func new --name HttpExample --template "HTTP trigger" --authlevel "anonymous"

  3. Examine the generated code:
     using Microsoft.Azure.Functions.Worker;
     using Microsoft.Extensions.Logging;
     using Microsoft.AspNetCore.Http;
     using Microsoft.AspNetCore.Mvc;
     namespace LocalFunctionProj
         public class HttpExample
             private readonly ILogger<HttpExample> _logger;
             public HttpExample(ILogger<HttpExample> logger)
                 _logger = logger;
             public IActionResult Run([HttpTrigger(AuthorizationLevel.Anonymous, "get", "post")] HttpRequest req)
                 _logger.LogInformation("C# HTTP trigger function processed a request.");
                 return new OkObjectResult("Welcome to Azure Functions!");

Step 3: Run the Function Locally

  1. Start the local Azure Functions runtime host: Run your function by starting the local Azure Functions runtime host from the LocalFunctionProj folder:
    func start

    The output says that the worker process started and initialized. The function’s URL is also displayed.

  2. Test the function:
    • Copy the URL from the output and paste it into a browser.
    • You should see a message: “Welcome to Azure Functions!”

  3. Stop the function host:
    • Press Ctrl+C and confirm with y.

Step 4: Create Supporting Azure Resources

Before you can deploy your function code to Azure, you need to create three resources:

  • A resource group, which is a logical container for related resources.

  • A Storage account, which is used to maintain state and other information about your functions.

  • A function app, which provides the environment for executing your function code. A function app maps to your local function project and lets you group functions as a logical unit for easier management, deployment, and sharing of resources.

You can use the following commands to create these items. Both Azure CLI and PowerShell are supported.

  1. Sign in to Azure:

    If you haven’t done so, sign in to Azure: The az login command signs you into your Azure account.

     az login
  2. Create a resource group:

    Create a resource group named RGForFunctionApp in your chosen region:

    az group create --name RGForFunctionApp --location eastus

    The az group create command creates a resource group and populates the command shell with the created RG details with the Provisioning state - Succeeded

  3. Create a storage account:

    Create a general-purpose storage account in your resource group and region.

    az storage account create --name storaccforazfunc07 --location eastus --resource-group RGForFunctionApp --sku Standard_LRS --allow-blob-public-access false

    The az storage account create command creates a storage account named storaccforazfunc07 in the EastUS region. The details are populated in the command prompt, and the provisioning state is succeeded.


  4. Create the function app:

    Create the function app in Azure: Execute the below command:

    az functionapp create --resource-group RGForFunctionApp --consumption-plan-location eastus --runtime dotnet-isolated --functions-version 4 --name appforfunc07 --storage-account storaccforazfunc07

    The az functionapp create command creates the function app in Azure.

    • storaccforazfunc07 is the storage account that we created in the previous step.

    • appforfunc07 is the name of the app that we create here. It needs to be globally unique.

Step 5: Deploy the Function Project to Azure

After successfully creating your function app in Azure, you’re ready to deploy your local functions project using the func azure functionapp publish command.

  1. Deploy the function:
    func azure functionapp publish appforfunc07

    After deployment, a URL will be provided. This is the Invoke URL for your function.

Step 6: Invoke the Function on Azure

  1. Invoke the function using a browser:
    • Copy the Invoke URL and paste it into a browser.
    • You should see the same “Welcome to Azure Functions!” message.

  2. View real-time logs:

    Call the remote function again in a separate terminal window or in the browser. The terminal shows a verbose log of the function’s execution in Azure.

    func azure functionapp logstream appforfunc07
    • Open another terminal or browser window and call the function URL again to see the real-time logs.
    • Press Ctrl+C to end the logstream session.

Step 7: Clean Up Resources

  1. Delete the resource group:

    Execute the following command to delete the resource group and all its contained resources. Confirm if you want to perform this operation and hit Enter.

    az group delete --name RGForFunctionApp

Congratulations! Using command-line tools, you’ve successfully created, tested, and deployed a C# function to Azure. This step-by-step guide has walked you through installing necessary tools, setting up a local development environment, creating and running a function locally, deploying it to Azure, and finally cleaning up the resources. Azure Functions provides a robust, serverless compute environment to build and quickly deploy scalable, event-driven applications. Happy coding!


Unleashing the Power of Azure AI: A Comprehensive Guide to Text-to-Speech Applications


In the dynamic landscape of application development, efficiency and cost-effectiveness are paramount. For developers working on projects that involve video narration, traditional methods of hiring vocal talent and managing studio resources can be both cumbersome and expensive. Enter Microsoft’s Azure AI services, offering a suite of APIs that empower developers to integrate cutting-edge text-to-speech capabilities into their applications. In this comprehensive guide, we’ll delve into the intricacies of Azure AI, providing step-by-step instructions and code snippets to help you harness its full potential for creating text-to-speech applications.


  • Establish an Azure AI services account
  • Develop a command-line application for text-to-speech conversion using plain text
  • Provide detailed insights and code snippets for each stage of the process

Creating a Text-to-Speech Application using a Text File

Step 1: Creating an Azure AI Services Account

  1. Begin by navigating to the Azure portal and signing in with your credentials.
  2. Once logged in, locate the Azure AI services section and proceed to create a new account.

  3. In the Create Azure AI window, under the Basics tab, enter the following details and click on the Review+create button.

  4. In the Review+submit tab, once the Validation is Passed, click on the Create button.

  5. Wait for the deployment to complete. The deployment will take around 2-3 minutes.
  6. After the deployment is completed, click on the Go to resource button.

  7. In your AzureAI-text-speechXX window, navigate to the Resource Management section and click on Keys and Endpoints.

  8. Configure the account settings according to your requirements.In the Keys and Endpoints page, copy KEY1, Region, and Endpoint values and paste them into a notepad as shown in the below image, then Save the notepad for later use.

Step 2: Create your text to speech application

  1. In the Azure portal, click on the [>_] (Cloud Shell) button at the top of the page to the right of the search box. A Cloud Shell pane will open at the bottom of the portal. The first time you open the Cloud Shell, you may be prompted to choose the type of shell you want to use (Bash or PowerShell). Select Bash. If you don’t see this option, then you can go ahead and skip this step.


  2. In You have no storage mounted dialog box, click on the Create storage.


  3. Ensure the type of shell indicated on the top left of the Cloud Shell pane is switched to Bash. If it’s PowerShell, switch to Bash by using the drop-down menu.


  4. In the Cloud Shell on the right, create a directory for your application, then switch folders to your new folder. Enter the following command

    mkdir text-to-speech
    cd text-to-speech


  5. Enter the following command to create a new .NET Core application. This command should take a few seconds to complete.

    dotnet new console


  6. When your .NET Core application has been created, add the Speech SDK package to your application. This command should take a few seconds to complete.

    dotnet add package Microsoft.CognitiveServices.Speech


Step 3:Add the code for your text to speech application

  1. In the Cloud Shell on the right, open the Program.cs file using the following command.

        code Program.cs
  2. Replace the existing code with the following using statements, which enable the Azure AI Speech APIs for your application:

    using System.Text;
    using Microsoft.CognitiveServices.Speech;
    using Microsoft.CognitiveServices.Speech.Audio;


  3. Below the using statements, add the following code, which uses Azure AI Speech APIs to convert the contents of the text file you’ll create into a WAV file with the synthesized voice. Replace the azureKey and azureLocation values with the ones you copied in the last task 1.

    string textFile = "Shakespeare.txt";
    string waveFile = "Shakespeare.wav";
        FileInfo fileInfo = new FileInfo(textFile);
        if (fileInfo.Exists)
            string textContent = File.ReadAllText(fileInfo.FullName);
            var speechConfig = SpeechConfig.FromSubscription(azureKey, azureLocation);
            using var speechSynthesizer = new SpeechSynthesizer(speechConfig, null);
            var speechResult = await speechSynthesizer.SpeakTextAsync(textContent);
            using var audioDataStream = AudioDataStream.FromResult(speechResult);
            await audioDataStream.SaveToWaveFileAsync(waveFile);       
    catch (Exception ex)


  4. This code uses your key and location to initialize a connection to Azure AI services, then reads the contents of the text file you\‘ll create, then uses the SpeakTextAsync() method of the speech synthesizer to convert the text to audio, then uses an audio stream to save the results to an audio file.
  5. To save your changes, press Ctrl+S to save the file, and then press Ctrl+Q to exit the editor

Step 4: Create a text file for your application to read

  1. In the Cloud Shell on the right, create a new text file that your application will read:

    code Shakespeare.txt

  2. When the code editor appears, enter the following text.

    The following quotes are from act 2, scene 7, of William Shakespeare's play "As You Like It."
    Thou seest we are not all alone unhappy:
    This wide and universal theatre
    Presents more woeful pageants than the scene
    Wherein we play in.
    All the world's a stage,
    And all the men and women merely players:
    They have their exits and their entrances;
    And one man in his time plays many parts,
    His acts being seven ages.


  3. To save your changes, press Ctrl+S to save the file, and then press Ctrl+Q to exit the editor

Step 5:Run your application

  1. To run your application, use the following command in the Cloud Shell on the right:

    dotnet run

  2. If you don’t see any errors, your application has run successfully. To verify, you can just run the following command to get a list of files in the directory.

    ls -l

  3. You should get a response like the following example, and you should have the Shakespeare.wav file in the list of files


Step 6: Listen to WAV file

To listen to the WAV file that your application created, you’ll first need to download it. To do so, you can just use the following steps.

  1. In the Cloud Shell on the right, use the following command to copy the WAV file to your temporary cloud drive:

    cp Shakespeare.wav ~/clouddrive


  2. In the Azure portal search box, type Storage account, then click on Storage account under Services.


  3. In the Storage accounts page, navigate and click on cloud storage account .


  4. In the Storage account page left-sided navigation menu, navigate to the Data storage section, then click on the File shares.


  5. Then select your cloudshellfilesXXX file share.


  6. When your cloudshellfilesXXX file shares page is displayed, select Browse, then select the Shakespeare.wav file, then select the Download icon.



  7. Download the Shakespeare.wav file to your computer, where you can listen to it with your operating system’s audio player.



Following the comprehensive instructions and the provided code snippets, you can seamlessly leverage Azure AI services to integrate text-to-speech capabilities into your applications. Azure AI empowers developers to enhance user experiences and streamline workflow processes. Embrace the power of Azure AI and unlock new possibilities for your projects.