Cloud deployment models (public, private, hybrid) in AWS - Mini Project: Build & Apply

Understanding Cloud Deployment Models with AWS

📖 Scenario: You are working as a cloud architect for a company that wants to understand different cloud deployment models. They want to see examples of how to set up resources in public, private, and hybrid cloud environments using AWS.

🎯 Goal: Build simple AWS infrastructure configurations that represent public, private, and hybrid cloud deployment models. You will create data structures and configurations that define these models step-by-step.

📋 What You'll Learn

Create a dictionary named deployment_models with keys for 'public', 'private', and 'hybrid'.

Add a configuration variable aws_region set to 'us-east-1'.

Define the core logic by adding example AWS resource types for each deployment model inside deployment_models.

Complete the setup by adding a deployment_summary dictionary that summarizes the number of resource types per model.

💡 Why This Matters

🌍 Real World

Cloud architects often need to explain and plan different deployment models using cloud services like AWS.

💼 Career

Understanding deployment models helps in designing cloud infrastructure that meets business needs for security, cost, and scalability.

1

Create the initial deployment models dictionary

Create a dictionary called deployment_models with keys 'public', 'private', and 'hybrid'. Each key should have an empty list as its value.

AWS

# Create the deployment_models dictionary with empty lists for each model
# Your code here

Need a hint?

Think of deployment_models as a container that holds lists of resources for each cloud model.

2

Add AWS region configuration

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

AWS

deployment_models = {
    'public': [],
    'private': [],
    'hybrid': []
}
# Set the AWS region
# Your code here

Need a hint?

The AWS region tells where your cloud resources will be located.

3

Add example AWS resources to each deployment model

Add these AWS resource types as strings to the lists inside deployment_models: For 'public', add 'EC2' and 'S3'. For 'private', add 'VPC' and 'RDS'. For 'hybrid', add 'DirectConnect' and 'Lambda'.

AWS

deployment_models = {
    'public': [],
    'private': [],
    'hybrid': []
}
aws_region = 'us-east-1'
# Add AWS resource types to each deployment model
# Your code here

Need a hint?

Think of these as examples of services used in each cloud model.

4

Create a summary of resource counts per deployment model

Create a dictionary called deployment_summary where each key is a deployment model from deployment_models and each value is the count of AWS resource types in that model's list.

AWS

deployment_models = {
    'public': ['EC2', 'S3'],
    'private': ['VPC', 'RDS'],
    'hybrid': ['DirectConnect', 'Lambda']
}
aws_region = 'us-east-1'
# Create deployment_summary with counts of resources per model
# Your code here

Need a hint?

Use the len() function to count items in each list.