### Is there an existing issue for this?

- [X] I have searched the existing issues

### Current Behavior

When multi uploading a file for Glacier Instant Retrieval, the operation fails at Complete stage with a message claiming storage class not supported.

### Expected Behavior

It works with real S3.

### How are you starting LocalStack?

With the `localstack` script

### Steps To Reproduce

#### How are you starting localstack (e.g., `bin/localstack` command, arguments, or `docker-compose.yml`)

localstack start

#### Client commands (e.g., AWS SDK code snippet, or sequence of "awslocal" commands)

 ```golang
	b, p := parse1(path)
	cmuI := &awsS3.CreateMultipartUploadInput{
		Bucket:       b,
		Key:          p,
		StorageClass: mtypes.StorageClassGlacierIr,
	}
_, err := client.CreateMultipartUpload(context.Background(), cmuI)

```
and process the upload of the part and then complete

### Environment

```markdown
- OS: Ubuntu 20.04
- LocalStack: pro latest
```


### Anything else?

_No response_
create_tmp_folder_lambda,
        snapshot,
    ):
        snapshot.add_transformer(snapshot.transform.s3_api())
        handler_file = os.path.join(
            os.path.dirname(__file__), "../awslambda/functions/lambda_s3_integration.js"
        )
        temp_folder = create_tmp_folder_lambda(
            handler_file,
            run_command="npm i @aws-sdk/util-endpoints @aws-sdk/client-s3 @aws-sdk/s3-request-presigner @aws-sdk/middleware-endpoint",
        )
        function_name = f"func-integration-{short_uid()}"
        create_lambda_function(
            func_name=function_name,
            zip_file=testutil.create_zip_file(temp_folder, get_content=True),
            runtime=LAMBDA_RUNTIME_NODEJS14X,
            handler="lambda_s3_integration.handler",
            role=lambda_su_role,
        )
        s3_create_bucket(Bucket=function_name)
        response = lambda_client.invoke(FunctionName=function_name)
        presigned_url = response["Payload"].read()
        presigned_url = json.loads(to_str(presigned_url))["body"].strip('"')
        response = .put(presigned_url, verify=False)
        assert 200 == response.status_code
        response = s3_client.head_(Bucket=function_name, Key="key.png")
        snapshot.match("head_", response)
    @pytest.mark.aws_validated
    @pytest.mark.skip_snapshot_verify(condition=is_old_provider, path="$..Error.BucketName")
    def test_s3_uppercase_bucket_name(self, s3_client, s3_create_bucket, snapshot):