How to create an S3 bucket and upload objects using both the Command Line Interface (CLI) and Application Programming Interface (API) methods

To create an S3 bucket and upload objects using both the Command Line Interface (CLI) and Application Programming Interface (API) methods, follow the instructions outlined below.

1. Command Line Interface (CLI) Method:

Step 1: Install and Configure AWS CLI:

• Install the AWS CLI on your local machine by following the instructions in the AWS CLI User Guide.
• Configure the AWS CLI by running the command aws configure and providing your AWS Access Key ID, Secret Access Key, default region, and default output format.

AWS configure

Step 2: Create an S3 Bucket:

• Open your command prompt or terminal.
• Run the following AWS CLI command to create an S3 bucket:

aws s3api create-bucket --bucket your-bucket-name --region your-region --create-bucket-configuration LocationConstraint=your-region

S3 bucket create

AWS account

Replace “your-bucket-name” with a unique name for your bucket and “your-region” with the desired AWS region.

Step 3: Upload Objects to the S3 Bucket:

• Run the following AWS CLI command to upload an object to the S3 bucket:

aws s3 cp your-file-path s3://your-bucket-name/your-object-key

Object upload

Replace “your-file-path” with the local file path of the object you want to upload, “your-bucket-name” with the bucket name created in Step 2, and “your-object-key” with the desired key/name for the object.

2. Application Programming Interface (API) Method:

To upload an object to AWS (Amazon Web Services) using the AWS SDK (Software Development Kit), you’ll need to follow these general steps:

step 1: Set up AWS credentials: Obtain your AWS access key ID and secret access key. If you haven’t already, create an AWS account and generate these credentials in the AWS Management Console.

step 2: Install the AWS SDK: Install the AWS SDK for your preferred programming language. The SDKs are available for various languages such as Java, Python, JavaScript, .NET, etc. You can find the relevant SDK for your language on the AWS Developer Center.

For python use Boto3 library:

pip install boto3

step 3: Configure the AWS SDK: Set up the AWS SDK with your credentials. This typically involves creating an instance of the SDK client and providing your access key ID and secret access key.

aws_access_key_id = 'YOUR_ACCESS_KEY_ID'
aws_secret_access_key = 'YOUR_SECRET_ACCESS_KEY'
aws_region = 'ap-south-1' 

step 4: Create an S3 client: For object storage, AWS provides the Simple Storage Service (S3). Create an S3 client using the AWS SDK for your programming language.

step 5: Specify the bucket and object details: Provide the name of the S3 bucket where you want to upload the object. Additionally, specify the object key (filename or path) under which you want to store the object in the bucket.

step 6: Upload the object: Use the S3 client’s upload function to upload the object. Provide the source file or data you want to upload along with the bucket and object key. The SDK will handle the transfer of the object to AWS S3.

Here’s an example using the AWS SDK for Python (Boto3):

import boto3
from boto3 import s3


# Replace these values with your actual AWS access key ID and secret access key
aws_access_key_id = 'xxxxxxxxxxxxxxxx'
aws_secret_access_key = 'xxxxxxxxxxxxxxxxxxxxxxxx'
aws_region = 'ap-south-1'  # Replace with your desired AWS region

def create_s3_bucket(bucket_name):
    s3 = boto3.client('s3', region_name=aws_region)

    # Create the S3 bucket with a valid location constraint
    s3.create_bucket(Bucket=bucket_name, CreateBucketConfiguration={'LocationConstraint': aws_region})

def upload_to_s3(bucket_name, object_key, file_path):
    s3 = boto3.client('s3', region_name=aws_region)

    # Upload the object to the S3 bucket
    with open(file_path, 'rb') as file:
        s3.put_object(Bucket=bucket_name, Key=object_key, Body=file)

if __name__ == "__main__":
    # Replace with your unique bucket name and object details
    bucket_name = 'your-bucket-name'
    object_key = 'object_name'
    file_path = r'path/to/local-file'  # Use 'r' before the file path to treat it as a raw string

    try:
        create_s3_bucket(bucket_name)
        print(f"S3 bucket '{bucket_name}' created successfully!")

        upload_to_s3(bucket_name, object_key, file_path)
        print(f"Object '{object_key}' uploaded successfully to bucket '{bucket_name}'.")

    except Exception as e:
        print("Error:", e)

Make sure to replace 'YOUR_ACCESS_KEY', 'YOUR_SECRET_KEY', 'your-bucket-name', 'object_name', and 'path/to/local-file' with your own values.

Working fine in VSCode

Note that this is just an example using Python and Boto3. The process may vary slightly depending on the programming language and SDK you choose. Refer to the official AWS SDK documentation and examples specific to your chosen language for more details.

Bucket created

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Object uploaded

Note: The specific code implementation may vary depending on the programming language and SDK you choose. Refer to the AWS SDK documentation for the exact API methods and parameters.

Remember to handle any necessary error checking and exception handling in your code to ensure smooth execution and proper handling of any potential issues.

By following these steps, you can create an S3 bucket and upload objects using both the Command Line Interface (CLI) and Application Programming Interface (API) methods, allowing you to manage your S3 resources efficiently and programmatically.