Simple Windows-based application using the Amazon SDK for .NET - Amazon SDK for .NET
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Simple Windows-based application using the Amazon SDK for .NET

This tutorial uses the Amazon SDK for .NET on Windows with Visual Studio and .NET Core. The tutorial shows you how to use the SDK to list the Amazon S3 buckets that you own and optionally create a bucket.


Setup for this tutorial

This section provides the minimal setup needed to complete this tutorial. You shouldn't consider this to be a full setup. For that, see Setting up your Amazon SDK for .NET environment.


If you've already completed any of the following steps through other tutorials or existing configuration, skip those steps.

To create an Amazon account, see How do I create and activate a new Amazon Web Services account?

To perform these tutorials, you need to create an Amazon Identity and Access Management (IAM) user and obtain credentials for that user. After you have those credentials, you make them available to the SDK in your development environment. Here's how.

To create and use credentials
  1. Sign in to the Amazon Web Services Management Console and open the IAM console at

  2. Choose Users, and then choose Add user.

  3. Provide a user name. For this tutorial, we'll use Dotnet-Tutorial-User.

  4. Under Select Amazon access type, select Programmatic access, and then choose Next: Permissions.

  5. Choose Attach existing policies directly.

  6. In Search, enter s3, and then select AmazonS3FullAccess.

  7. Choose Next: Tags, Next: Review, and Create user.

  8. Record the credentials for Dotnet-Tutorial-User. You can do so by downloading the .csv file or by copying and pasting the Access key ID and Secret access key.


    Use appropriate security measures to keep these credentials safe and rotated.

  9. Create or open the shared Amazon credentials file. This file is ~/.aws/credentials on Linux and macOS systems, and %USERPROFILE%\.aws\credentials on Windows.

  10. Add the following text to the shared Amazon credentials file, but replace the example ID and example key with the ones you obtained earlier. Remember to save the file.

    [dotnet-tutorials] aws_access_key_id = AKIAIOSFODNN7EXAMPLE aws_secret_access_key = wJalrXUtnFEMI/K7MDENG/bPxRfiCYEXAMPLEKEY

The preceding procedure is the simplest of several possibilities for authentication and authorization. For complete information, see Configure Amazon credentials.

You'll perform this tutorial on Windows using Visual Studio and .NET Core. For other ways to configure your development environment, see Install and configure your toolchain.

Required for development on Windows with Visual Studio and .NET Core:

  • Microsoft .NET Core 2.1, 3.1 or later

    This is typically included by default when installing a recent version of Visual Studio.

Create the project

  1. Open Visual Studio and create a new project that uses the C# version of the Console Application template; that is, with description: "...for creating a command-line application that can run on .NET Core...". Name the project S3CreateAndList.


    Don't choose the .NET Framework version of the console app template, or, if you do, be sure to use .NET Framework 4.5 or later.

  2. With the newly created project loaded, choose Tools, NuGet Package Manager, Manage NuGet Packages for Solution.

  3. Browse for the AWSSDK.S3 NuGet package and install it into the project.

    This process installs the AWSSDK.S3 NuGet package from the NuGet package manager. Because we know exactly what NuGet packages we need for this tutorial, we can perform this step now. It's also common that the required packages become known during development. When this happens, follow a similar process to install them at that time.

  4. If you intend to run the application from the command prompt, open a command prompt now and navigate to the folder that will contain the build output. This is typically something like S3CreateAndList\S3CreateAndList\bin\Debug\net6.0, but will depend on your environment.

  5. Add the following temporary environment variables to the environment.

    In the command prompt, use the following.

    set AWS_PROFILE=dotnet-tutorials set AWS_REGION=us-west-2

    Or, if you intend to run the application in the IDE, go to Debug, S3CreateAndList Debug Properties and set them there. (In older versions of Visual Studio go to Project, S3CreateAndList Properties, Debug.)

Create the code

  1. In the S3CreateAndList project, find and open Program.cs in the IDE.

  2. Replace the contents with the following code and save the file.

    using System; using System.Threading.Tasks; // To interact with Amazon S3. using Amazon.S3; using Amazon.S3.Model; namespace S3CreateAndList { class Program { // Main method static async Task Main(string[] args) { // Before running this app: // - Credentials must be specified in an AWS profile. If you use a profile other than // the [default] profile, also set the AWS_PROFILE environment variable. // - An AWS Region must be specified either in the [default] profile // or by setting the AWS_REGION environment variable. // Create an S3 client object. var s3Client = new AmazonS3Client(); // Parse the command line arguments for the bucket name. if(GetBucketName(args, out String bucketName)) { // If a bucket name was supplied, create the bucket. // Call the API method directly try { Console.WriteLine($"\nCreating bucket {bucketName}..."); var createResponse = await s3Client.PutBucketAsync(bucketName); Console.WriteLine($"Result: {createResponse.HttpStatusCode.ToString()}"); } catch (Exception e) { Console.WriteLine("Caught exception when creating a bucket:"); Console.WriteLine(e.Message); } } // List the buckets owned by the user. // Call a class method that calls the API method. Console.WriteLine("\nGetting a list of your buckets..."); var listResponse = await MyListBucketsAsync(s3Client); Console.WriteLine($"Number of buckets: {listResponse.Buckets.Count}"); foreach(S3Bucket b in listResponse.Buckets) { Console.WriteLine(b.BucketName); } } // // Method to parse the command line. private static Boolean GetBucketName(string[] args, out String bucketName) { Boolean retval = false; bucketName = String.Empty; if (args.Length == 0) { Console.WriteLine("\nNo arguments specified. Will simply list your Amazon S3 buckets." + "\nIf you wish to create a bucket, supply a valid, globally unique bucket name."); bucketName = String.Empty; retval = false; } else if (args.Length == 1) { bucketName = args[0]; retval = true; } else { Console.WriteLine("\nToo many arguments specified." + "\n\ndotnet_tutorials - A utility to list your Amazon S3 buckets and optionally create a new one." + "\n\nUsage: S3CreateAndList [bucket_name]" + "\n - bucket_name: A valid, globally unique bucket name." + "\n - If bucket_name isn't supplied, this utility simply lists your buckets."); Environment.Exit(1); } return retval; } // // Async method to get a list of Amazon S3 buckets. private static async Task<ListBucketsResponse> MyListBucketsAsync(IAmazonS3 s3Client) { return await s3Client.ListBucketsAsync(); } } }
  3. Build the application.


    If you're using an older version of Visual Studio, you might get a build error similar to the following:

    "Feature 'async main' is not available in C# 7.0. Please use language version 7.1 or greater."

    If you get this error, set up your project to use a later version of the language. This is typically done in the project properties, Build, Advanced.

Run the application

  1. Run the application with no command line arguments. Do this either in the command prompt (if you opened one earlier) or from the IDE.

  2. Examine the output to see the number of Amazon S3 buckets that you own, if any, and their names.

  3. Choose a name for a new Amazon S3 bucket. Use "dotnet-quicktour-s3-1-winvs-" as a base and add something unique to it, such as a GUID or your name. Be sure to follow the rules for bucket names, as described in Rules for Bucket Naming in the Amazon Simple Storage Service User Guide.

  4. Run the application again, this time supplying the bucket name.

    In the command line, replace BUCKET-NAME in the following command with the name of the bucket that you chose.

    S3CreateAndList BUCKET-NAME

    Or, if you are running the application in the IDE, choose Project, S3CreateAndList Properties, Debug and enter the bucket name there.

  5. Examine the output to see the new bucket that was created.

Clean up

While performing this tutorial, you created a few resources that you can choose to clean up at this time.

  • If you don't want to keep the bucket that the application created in an earlier step, delete it by using the Amazon S3 console at

  • If you don't want to keep the user you created during tutorial setup earlier in this topic, delete it by using the IAM console at

    If you do choose to delete the user, you should also remove the dotnet-tutorials profile that you created in the shared Amazon credentials file. You created this profile during tutorial setup earlier in this topic.

  • If you don't want to keep your .NET project, remove the S3CreateAndList folder from your development environment.

Where to go next

Go back to the quick-tour menu or go straight to the end of this quick tour.