Creating a bucket - Amazon Simple Storage Service

Creating a bucket

To upload your data to Amazon S3, you must first create an Amazon S3 bucket in one of the AWS Regions. When you create a bucket, you must choose a bucket name and Region. You can optionally choose other storage management options for the bucket. After you create a bucket, you cannot change the bucket name or Region. For information about naming buckets, see Bucket naming rules.

The AWS account that creates the bucket owns it. You can upload any number of objects to the bucket. By default, you can create up to 100 buckets in each of your AWS accounts. If you need more buckets, you can increase your account bucket limit to a maximum of 1,000 buckets by submitting a service limit increase. To learn how to submit a bucket limit increase, see AWS service quotas in the AWS General Reference. You can store any number of objects in a bucket.

You can use the Amazon S3 console, Amazon S3 APIs, AWS CLI, or AWS SDKs to create a bucket.

  1. Sign in to the AWS Management Console and open the Amazon S3 console at

  2. Choose Create bucket.

    The Create bucket wizard opens.

  3. In Bucket name, enter a DNS-compliant name for your bucket.

    The bucket name must:

    • Be unique across all of Amazon S3.

    • Be between 3 and 63 characters long.

    • Not contain uppercase characters.

    • Start with a lowercase letter or number.

    After you create the bucket, you can't change its name. For information about naming buckets, see Bucket naming rules.


    Avoid including sensitive information, such as account numbers, in the bucket name. The bucket name is visible in the URLs that point to the objects in the bucket.

  4. In Region, choose the AWS Region where you want the bucket to reside.

    Choose a Region close to you to minimize latency and costs and address regulatory requirements. Objects stored in a Region never leave that Region unless you explicitly transfer them to another Region. For a list of Amazon S3 AWS Regions, see AWS service endpoints in the Amazon Web Services General Reference.

  5. In Bucket settings for Block Public Access, choose the Block Public Access settings that you want to apply to the bucket.

    We recommend that you keep all settings enabled unless you know that you need to turn off one or more of them for your use case, such as to host a public website. Block Public Access settings that you enable for the bucket are also enabled for all access points that you create on the bucket. For more information about blocking public access, see Blocking public access to your Amazon S3 storage.

  6. (Optional) If you want to enable S3 Object Lock, do the following:

    1. Choose Advanced settings, and read the message that appears.


      You can only enable S3 Object Lock for a bucket when you create it. If you enable Object Lock for the bucket, you can't disable it later. Enabling Object Lock also enables versioning for the bucket. After you enable Object Lock for the bucket, you must configure the Object Lock settings before any objects in the bucket will be protected. For more information about configuring protection for objects, see Using S3 Object Lock.

    2. If you want to enable Object Lock, enter enable in the text box and choose Confirm.

    For more information about the S3 Object Lock feature, see Using S3 Object Lock.


    To create an Object Lock enabled bucket, you must have the following permissions: s3:CreateBucket, s3:PutBucketVersioning and s3:PutBucketObjectLockConfiguration.

  7. Choose Create bucket.

When you use the AWS SDKs to create a bucket, you must create a client and then use the client to send a request to create a bucket. As a best practice, you should create your client and bucket in the same AWS Region. If you don't specify a Region when you create a client or a bucket, Amazon S3 uses the default Region US East (N. Virginia).

To create a client to access a dual-stack endpoint, you must specify an AWS Region. For more information, see Dual-stack endpoints. For a list of available AWS Regions, see Regions and endpoints in the AWS General Reference.

When you create a client, the Region maps to the Region-specific endpoint. The client uses this endpoint to communicate with Amazon S3: s3.<region> If your Region launched after March 20, 2019, your client and bucket must be in the same Region. However, you can use a client in the US East (N. Virginia) Region to create a bucket in any Region that launched before March 20, 2019. For more information, see Legacy Endpoints.

These AWS SDK code examples perform the following tasks:

  • Create a client by explicitly specifying an AWS Region — In the example, the client uses the endpoint to communicate with Amazon S3. You can specify any AWS Region. For a list of AWS Regions, see Regions and endpoints in the AWS General Reference.

  • Send a create bucket request by specifying only a bucket name — The client sends a request to Amazon S3 to create the bucket in the Region where you created a client.

  • Retrieve information about the location of the bucket — Amazon S3 stores bucket location information in the location subresource that is associated with the bucket.


This example shows how to create an Amazon S3 bucket using the AWS SDK for Java. For instructions on creating and testing a working sample, see Testing the Amazon S3 Java Code Examples.

import com.amazonaws.AmazonServiceException; import com.amazonaws.SdkClientException; import com.amazonaws.auth.profile.ProfileCredentialsProvider; import com.amazonaws.regions.Regions; import; import; import; import; import; public class CreateBucket2 { public static void main(String[] args) throws IOException { Regions clientRegion = Regions.DEFAULT_REGION; String bucketName = "*** Bucket name ***"; try { AmazonS3 s3Client = AmazonS3ClientBuilder.standard() .withCredentials(new ProfileCredentialsProvider()) .withRegion(clientRegion) .build(); if (!s3Client.doesBucketExistV2(bucketName)) { // Because the CreateBucketRequest object doesn't specify a region, the // bucket is created in the region specified in the client. s3Client.createBucket(new CreateBucketRequest(bucketName)); // Verify that the bucket was created by retrieving it and checking its location. String bucketLocation = s3Client.getBucketLocation(new GetBucketLocationRequest(bucketName)); System.out.println("Bucket location: " + bucketLocation); } } catch (AmazonServiceException e) { // The call was transmitted successfully, but Amazon S3 couldn't process // it and returned an error response. e.printStackTrace(); } catch (SdkClientException e) { // Amazon S3 couldn't be contacted for a response, or the client // couldn't parse the response from Amazon S3. e.printStackTrace(); } } }

For information about how to create and test a working sample, see Running the Amazon S3 .NET Code Examples.

using Amazon; using Amazon.S3; using Amazon.S3.Model; using Amazon.S3.Util; using System; using System.Threading.Tasks; namespace Amazon.DocSamples.S3 { class CreateBucketTest { private const string bucketName = "*** bucket name ***"; // Specify your bucket region (an example region is shown). private static readonly RegionEndpoint bucketRegion = RegionEndpoint.USWest2; private static IAmazonS3 s3Client; public static void Main() { s3Client = new AmazonS3Client(bucketRegion); CreateBucketAsync().Wait(); } static async Task CreateBucketAsync() { try { if (!(await AmazonS3Util.DoesS3BucketExistAsync(s3Client, bucketName))) { var putBucketRequest = new PutBucketRequest { BucketName = bucketName, UseClientRegion = true }; PutBucketResponse putBucketResponse = await s3Client.PutBucketAsync(putBucketRequest); } // Retrieve the bucket location. string bucketLocation = await FindBucketLocationAsync(s3Client); } catch (AmazonS3Exception e) { Console.WriteLine("Error encountered on server. Message:'{0}' when writing an object", e.Message); } catch (Exception e) { Console.WriteLine("Unknown encountered on server. Message:'{0}' when writing an object", e.Message); } } static async Task<string> FindBucketLocationAsync(IAmazonS3 client) { string bucketLocation; var request = new GetBucketLocationRequest() { BucketName = bucketName }; GetBucketLocationResponse response = await client.GetBucketLocationAsync(request); bucketLocation = response.Location.ToString(); return bucketLocation; } } }

For information about how to create and test a working sample, see Using the AWS SDK for Ruby - Version 3.

require 'aws-sdk-s3' # @param s3_client [Aws::S3::Client] An initialized Amazon S3 client. # @param bucket_name [String] The bucket's name. # @return [Boolean] true if the bucket was created; otherwise, false. # @example # s3_client = 'us-west-2') # exit 1 unless bucket_created?(s3_client, 'doc-example-bucket') def bucket_created?(s3_client, bucket_name) s3_client.create_bucket(bucket: bucket_name) rescue StandardError => e puts "Error while creating the bucket named '#{bucket_name}': #{e.message}" end # Full example call: # Replace us-west-2 with the AWS Region you're using for Amazon S3. def run_me bucket_name = 'doc-example-bucket' region = 'us-west-2' s3_client = region) puts "Creating the bucket '#{bucket_name}'..." if bucket_created?(s3_client, bucket_name) puts 'The bucket was created.' else puts 'The bucket was not created. Stopping program.' exit 1 end end run_me if $PROGRAM_NAME == __FILE__

You can also use the AWS Command Line Interface (AWS CLI) to create an S3 bucket. For more information, see create-bucket in the AWS CLI Command Reference.

For information about the AWS CLI, see What is the AWS Command Line Interface? in the AWS Command Line Interface User Guide.