How to launch EC2 Instance Create EBS Volume and attach volume with EC2 Instance with the help of the Boto3 library

4 min readJun 21, 2023

what is Boto3?

Boto3 is a Python library developed by AWS (Amazon Web Services) that provides a high-level interface for interacting with various AWS services. It simplifies the process of accessing and using AWS resources, allowing developers to write code to automate and manage their AWS infrastructure.

With Boto3, you can write code to provision resources, automate infrastructure deployments, configure settings, retrieve information, and perform various operations within your AWS environment.

So today we are launching EC2 Instance Create EBS Volume and attach volume with EC2 Instance with the help of the Boto3 library

Certainly! Let me explain each step in detail:

Step 1:

import boto3

This line imports the Boto3 library, which is the official AWS SDK (Software Development Kit) for Python. It provides a high-level interface to interact with various AWS services.

If you don't have the Boto3 library then install it with the help of the pip command

pip install boto3

Step 2:

Here, you specify the AWS region you want to work with. In this case, the region is set to “ap-south-1,” which corresponds to the Asia Pacific (Mumbai) region. You can change it to the desired region.

region_name = 'ap-south-1'

Step 3:

This creates an EC2 resource object named “myec2” using the Boto3 library. It represents the Amazon EC2 service in the specified region. The resource object allows you to interact with EC2 instances and perform various operations.

myec2 = boto3.resource("ec2", region_name)

Step 4:

response = myec2.create_instances(
    ImageId='ami-057752b3f1d6c4d6c',
    InstanceType='t2.micro',
    MaxCount=1,
    MinCount=1
)

In this step, you use the EC2 resource object to create a new EC2 instance by calling the create_instances method. The method requires several parameters:

ImageId: The ID of the Amazon Machine Image (AMI) to use for the instance.
InstanceType: The type of the EC2 instance, specifying the hardware of the host computer used for the instance.
MaxCount and MinCount: The maximum and minimum number of instances to launch, respectively.

The create_instances method returns a response, and in this case, it is stored in the response variable.

Step 5:

response[0].id

Here, you access the id an attribute of the first instance in the response. This retrieves the unique identifier (Instance ID) of the newly created EC2 instance.

Step 6:

create the EBS volume with the following command that is shown below code.

ec2 = boto3.client('ec2')
response = ec2.create_volume(
    AvailabilityZone='ap-south-1b',
    Size=10
)

# Retrieve the created volume ID
volume_id = response['VolumeId']

Step 7:

volume_id

It seems there is a missing step or variable declaration here. Without further information, I cannot provide a detailed explanation. However, typically, volume_id refers to the unique identifier (Volume ID) of an Amazon Elastic Block Store (EBS) volume. It is likely used in a subsequent step to attach the volume to the EC2 instance.

Step 8:

ec2 = boto3.client('ec2')

This line creates an EC2 client object named “ec2” using the Boto3 library. The client object provides a low-level interface to interact with the EC2 service. It allows you to call methods directly on the EC2 service without resource abstraction.

Step 8:

response = ec2.attach_volume(
    Device='/dev/xvdf',
    InstanceId='i-01932d84472d3aefb',
    VolumeId='vol-09e1806aa127dafe2'
)

In this step, you use the EC2 client object to attach an EBS volume to an EC2 instance. The attach_volume the method is called with the following parameters:

Device: The device name (e.g., "/dev/xvdf") to which the volume will be attached on the instance.
InstanceId: The ID of the EC2 instance to which you want to attach the volume.
VolumeId: The ID of the EBS volume you want to attach.