Creating an AWS S3 Bucket Across Multiple Languages Using Pulumi and Terraform Tools

Amaresh Pelleti

The process of creating an Amazon S3 bucket can be achieved through various programming languages using Pulumi and Infrastructure as Code (IaC) tools. Below are examples in different languages and tools, each illustrating how to create an S3 bucket:

Python

Pulumi AWS Package

import pulumi
import pulumi_aws as aws

# Create an AWS resource (S3 Bucket)
bucket = aws.s3.Bucket('my-bucket')

# Export the name of the bucket
pulumi.export('bucket_name', bucket.id)

TypeScript and JavaScript

Pulumi AWS Package

import * as pulumi from "@pulumi/pulumi";
import * as aws from "@pulumi/aws";

// Create an AWS resource (S3 Bucket)
const bucket = new aws.s3.Bucket("my-bucket");

// Export the name of the bucket
export const bucketName = bucket.id;

Go

package main

import (
    "github.com/pulumi/pulumi-aws/sdk/v6/go/aws/s3"
    "github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)

func main() {
    pulumi.Run(func(ctx *pulumi.Context) error {
        // create a new bucket
        _, err := s3.NewBucket(ctx, "my-bucket", nil)
        if err != nil {
            return err
        }

        //export the bucket name
        ctx.Export("bucketName", pulumi.String("my-bucket"))

        return nil
    })
}

C

using Pulumi;
using Pulumi.Aws.S3;

class MyStack : Stack
{
    public MyStack() : base(null)
    {
        // Create an AWS S3 bucket
        var bucket = new Bucket("myBucket");

        // Export the name of the bucket
        this.RegisterOutput("bucketName", bucket.Id);
    }
}

Java

import com.pulumi.*;
import com.pulumi.aws.s3.*;

class MyStack extends Stack {
    public MyStack() {
        // Create an AWS S3 bucket
        Bucket bucket = new Bucket("myBucket");

        // Export the name of the bucket
        this.export("bucketName", bucket.id());
    }
}

YAML (Pulumi)

resources:
  myBucket:
    type: aws:s3:Bucket
outputs:
  bucketName: ${myBucket.id}

Terraform

resource "aws_s3_bucket" "myBucket" {
  bucket = "unique_bucket_name"  // Replace with your unique bucket name
}

output "bucket_id" {
  value = aws_s3_bucket.myBucket.id
}

The procedures outlined above utilize various languages and tools to create an Amazon S3 bucket. Depending on your preference and familiarity with a specific language or tool, you can effectively deploy an S3 bucket for your cloud storage needs.