AWS Management Console walkthrough - Mini Project: Build & Apply

AWS Management Console walkthrough

📖 Scenario: You are starting to learn how to use the AWS Management Console. This console is a web interface where you can create and manage cloud resources like servers, storage, and databases.Imagine you want to organize your cloud resources by creating a simple setup with a virtual server and a storage bucket.

🎯 Goal: Build a basic AWS setup by creating a virtual server instance and a storage bucket using the AWS Management Console steps.

📋 What You'll Learn

Create a dictionary called aws_resources with keys EC2 and S3 and empty lists as values

Add a configuration variable called region with the value us-east-1

Add an EC2 instance dictionary with keys InstanceId set to i-1234567890abcdef0 and Type set to t2.micro inside the EC2 list

Add an S3 bucket dictionary with keys BucketName set to my-first-bucket and Region set to the region variable inside the S3 list

💡 Why This Matters

🌍 Real World

Cloud engineers often organize and track their AWS resources using scripts or infrastructure as code. This project simulates the basic structure of AWS resources as seen in the AWS Management Console.

💼 Career

Understanding how to represent and manage cloud resources programmatically is essential for roles like Cloud Engineer, DevOps Engineer, and Cloud Architect.

1

Create the initial AWS resources dictionary

Create a dictionary called aws_resources with keys 'EC2' and 'S3', each having an empty list as its value.

AWS

# Create the aws_resources dictionary with 'EC2' and 'S3' keys and empty lists
# Your code here

Need a hint?

Use curly braces to create a dictionary. The keys are strings 'EC2' and 'S3'. The values are empty lists.

2

Add the AWS region configuration

Add a variable called region and set it to the string 'us-east-1'.

AWS

aws_resources = {'EC2': [], 'S3': []}
# Create a variable called region and set it to 'us-east-1'
# Your code here

Need a hint?

Just assign the string 'us-east-1' to the variable named region.

3

Add an EC2 instance to the resources

Add a dictionary with keys 'InstanceId' set to 'i-1234567890abcdef0' and 'Type' set to 't2.micro' inside the EC2 list in aws_resources.

AWS

aws_resources = {'EC2': [], 'S3': []}
region = 'us-east-1'
# Add the EC2 instance dictionary to aws_resources['EC2'] list
# Your code here

Need a hint?

Use the append() method on the list aws_resources['EC2'] to add the instance dictionary.

4

Add an S3 bucket to the resources

Add a dictionary with keys 'BucketName' set to 'my-first-bucket' and 'Region' set to the variable region inside the S3 list in aws_resources.

AWS

aws_resources = {'EC2': [], 'S3': []}
region = 'us-east-1'
aws_resources['EC2'].append({'InstanceId': 'i-1234567890abcdef0', 'Type': 't2.micro'})
# Add the S3 bucket dictionary to aws_resources['S3'] list
# Your code here

Need a hint?

Use the append() method on the list aws_resources['S3'] to add the bucket dictionary. Use the variable region for the Region value.