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Using boto3 create s3 bucket and describe EC2 instances

Using boto3 create s3 bucket and describe EC2 instances

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Vaibhav Parekh
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Let's break down the code step by step to understand how to use boto3 to create an S3 bucket and describe EC2 instances.

Step 1: Import the boto3 Library

import boto3

In this step, we import the boto3 library, which is the AWS SDK for Python. It provides functions and classes to interact with various AWS services.

Step 2: Create an S3 Bucket

def create_s3_bucket(bucket_name):
    s3 = boto3.client('s3')
    response = s3.create_bucket(
        Bucket=bucket_name,
        CreateBucketConfiguration={'LocationConstraint': 'us-east-1'}
    )
    return response

Here, we define a function called create_s3_bucket that takes a parameter bucket_name. Inside the function:

  • We create an S3 client using boto3.client('s3').

  • We call the create_bucket method on the S3 client to create a new S3 bucket. We provide the desired bucket name using the Bucket parameter and specify the region using the CreateBucketConfiguration parameter. You can change 'us-east-1' to your desired region.

  • The function returns the response from the create_bucket operation.

Step 3: Describe EC2 Instances

def describe_ec2_instances():
    ec2 = boto3.client('ec2')
    response = ec2.describe_instances()
    return response

In this step, we define a function called describe_ec2_instances. Inside the function:

  • We create an EC2 client using boto3.client('ec2').

  • We call the describe_instances method on the EC2 client to retrieve information about EC2 instances.

  • The function returns the response containing information about the instances.

Step 4: Main Execution

bucket_name = 'your_bucket_name'

create_s3_bucket(bucket_name)
print(f"S3 bucket '{bucket_name}' created.")

ec2_instances = describe_ec2_instances()
print("EC2 Instances:")
for reservation in ec2_instances['Reservations']:
    for instance in reservation['Instances']:
        print(f"Instance ID: {instance['InstanceId']}")
        print(f"Instance Type: {instance['InstanceType']}")
        print(f"State: {instance['State']['Name']}")
        print("------")

In the main part of the script:

  • We set the bucket_name variable to the desired name for the S3 bucket.

  • We call the create_s3_bucket function with the specified bucket_name to create the S3 bucket.

  • We print a message indicating that the S3 bucket has been created.

  • We call the describe_ec2_instances function to retrieve information about EC2 instances.

  • We iterate through the response to print details such as instance ID, instance type, and instance state for each EC2 instance.

Overall, this script demonstrates how to create an S3 bucket and describe EC2 instances using the boto3 library in Python. You'll need to replace 'your_bucket_name' with your desired S3 bucket name and ensure you have the necessary AWS credentials configured.

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