Building a Serverless ASP.NET Core Web API with AWS Lambda using Function URLs

In this post, you will learn how to build a Serverless API using ASP.NET Core and AWS Lambda.

To make the API available on a public HTTP(S) endpoint, you will use Lambda function URLs instead of Amazon API Gateway.


  1. Visual Studio 2022
  2. AWS Toolkit for Visual Studio
  3. AWS Account
  4. .NET 6

Step 1: Create ASP.NET Core Web API project

Open Visual Studio, create New Project and select ASP.NET Core Web API template to create a new Web API project.


In the Additional information dialog, keep the following settings.


Step 2: Install Amazon.Lambda.AspNetCoreServer.Hosting NuGet package

.NET 6 introduces a new style of writing ASP.NET Core applications called Minimal APIs. Minimal API makes use of C# 9's new feature top-level statements. Minimal API allows you to define an entire ASP.NET Core application in a single file.

To deploy ASP.NET Core application using Minimal API to Lambda, install Amazon.Lambda.AspNetCoreServer.Hosting NuGet package to your existing application.


Next, add a call to AddAWSLambdaHosting method when services are defined in your application.

var builder = WebApplication.CreateBuilder(args);

// Add services to the container.


// Add AWS Lambda support.

var app = builder.Build();

💡 Important

When the ASP.NET Core project is run locally, AddAWSLambdaHosting does nothing, allowing the normal .NET Kestrel web server to handle the local experience. When running in Lambda, AddAWSLambdaHosting swaps out Kestrel with Amazon.Lambda.AspNetCoreServer allowing Lambda and API Gateway to act as the web server instead of Kestrel. Since Minimal APIs take advantage of top-level statements, AddAWSLambdaHosting also starts the Lambda runtime client.

Step 3: Update .csproj file

Open .csproj file and add <AWSProjectType>Lambda</AWSProjectType> in PropertyGroup section.


This will let AWS Toolkit for Visual Studio know that your project is an AWS project. Now, when you right-click on your project, you will start getting Publish to AWS... options as shown in the below image.


Step 4: Deploy Web API on AWS Lambda

Follow the instructions below to deploy Web API on AWS Lambda.

  1. Right-click on the project, and select Publish to AWS Lambda.

  2. In Upload Lambda Function dialog, ensure the following values are correct.

    • Lambda Runtime should be .NET 6
    • Configuration should be Release
    • Handler must be the Assembly name of your application


  3. In the Advanced Function Details dialog, you can configure the following things.

    • IAM Role for the Lambda Function, when in doubt, select AWSLambdaBasicExecutionRole from the dropdown.
    • Memory & Timeout values
    • Environment variables
    • DLQ & VPC details (if needed)


  4. Now, click on Upload button.

Step 5: Enable Function Url for the Lambda

Follow the instructions below to enable Function Url for the Lambda.

  1. Go to AWS Console & navigate to Lambda service.

  2. You can see the deployed Lambda Function in AWS Console.


  3. Select your Lambda function to go to its detail page.

  4. Select Configuration tab and then select Function URL from the left menu.


  5. Click on Create function URL button.

  6. On Configure Function URL screen, select NONE as Auth type.


  7. Click on the Save button.

  8. You can see, Function URL has been created, and you can use it to access your Web API.


Step 6: Verify that API is working

Follow the instructions below to verify that API is working.

  1. Copy the Function URL.

  2. Append WeatherForecast in the URL, as this is the only controller we have in the default ASP.NET Core Web API.

  3. Copy the new URL in the browser and see the result.

  4. If everything is fine, you will get the JSON response from the API like below.


  5. That's all.


In this post, you learned how easily and quickly, you can deploy an ASP.NET Core Web API on AWS Lambda. Running Web APIs on AWS Lambda helps you to make your system scalable as well as cost-effective. Please let me know your thoughts and feedback in the comment section below.

Thank You ❤️


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