AWS S3 Bucket
aws_s3_bucket
is not a specific AWS service or resource. However, it appears to be a naming convention or identifier that might be used to refer to an Amazon S3 bucket within an AWS infrastructure or configuration.
In AWS, an S3 bucket is a container for storing objects, such as files, in the Amazon Simple Storage Service (S3). Buckets have globally unique names and are accessed through a URL in the format https://s3.Region.amazonaws.com/bucket-name
. S3 buckets provide secure and scalable storage for a wide range of data types, including documents, images, videos, backups, and more.
To interact with an S3 bucket programmatically or through infrastructure-as-code (IaC) tools, such as AWS CloudFormation or AWS SDKs, you can use the AWS SDK for the programming language of your choice (e.g., Boto3 for Python) or AWS CLI commands.
For example, in Boto3 (Python SDK for AWS), you can create an S3 bucket using the create_bucket
method:
import boto3
s3_client = boto3.client('s3')
response = s3_client.create_bucket(
Bucket='my-bucket-name',
CreateBucketConfiguration={
'LocationConstraint': 'us-west-2' # Replace with your desired region
}
)
In AWS CLI, you can use the aws s3api create-bucket
command:
aws s3api create-bucket --bucket my-bucket-name --create-bucket-configuration LocationConstraint=us-west-2 # Replace with your desired region
Remember to replace 'my-bucket-name'
with your desired bucket name and 'us-west-2'
with your preferred AWS region
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