Cloud deployment overview (AWS, Azure) in Spring Boot - Mini Project: Build & Apply

Cloud deployment overview (AWS, Azure)

📖 Scenario: You are a developer preparing to deploy a simple Spring Boot application to the cloud. You want to understand the basic setup steps for deploying your app on two popular cloud platforms: AWS and Azure.This project will guide you through creating a basic deployment configuration for both AWS and Azure, helping you see how cloud deployment works in a simple, clear way.

🎯 Goal: Build a basic deployment configuration for a Spring Boot app on AWS and Azure. You will create initial deployment data, add configuration details, apply core deployment logic, and finalize the deployment setup.

📋 What You'll Learn

Create initial deployment data for AWS and Azure

Add configuration variables for deployment environment

Apply deployment logic to prepare the app for cloud

Complete the deployment configuration with final settings

💡 Why This Matters

🌍 Real World

This project models how developers prepare deployment configurations for cloud platforms like AWS and Azure before deploying applications.

💼 Career

Understanding cloud deployment basics is essential for roles like cloud engineer, DevOps engineer, and backend developer working with cloud infrastructure.

1

Create initial deployment data

Create a dictionary called deployment_data with two keys: 'AWS' and 'Azure'. Each key should have a nested dictionary with 'app_name' set to 'springboot-app' and 'region' set to 'us-east-1' for AWS and 'eastus' for Azure.

Spring Boot

# Your code here

Need a hint?

Use a dictionary with keys 'AWS' and 'Azure'. Each value is another dictionary with 'app_name' and 'region'.

2

Add deployment environment configuration

Create a variable called environment and set it to the string 'production'. This will represent the deployment environment for both AWS and Azure.

Spring Boot

deployment_data = {
    'AWS': {'app_name': 'springboot-app', 'region': 'us-east-1'},
    'Azure': {'app_name': 'springboot-app', 'region': 'eastus'}
}
# Your code here

Need a hint?

Just create a variable named environment and assign it the value 'production'.

3

Apply deployment logic to prepare app

Use a for loop with variables cloud and config to iterate over deployment_data.items(). Inside the loop, add a new key 'environment' to each config dictionary and set it to the value of the environment variable.

Spring Boot

deployment_data = {
    'AWS': {'app_name': 'springboot-app', 'region': 'us-east-1'},
    'Azure': {'app_name': 'springboot-app', 'region': 'eastus'}
}
environment = 'production'
# Your code here

Need a hint?

Use a for loop to add the 'environment' key to each cloud config.

4

Complete deployment configuration

Add a new key 'deployment_status' with value 'ready' to the deployment_data['AWS'] dictionary to mark AWS deployment as ready.

Spring Boot

deployment_data = {
    'AWS': {'app_name': 'springboot-app', 'region': 'us-east-1'},
    'Azure': {'app_name': 'springboot-app', 'region': 'eastus'}
}
environment = 'production'

for cloud, config in deployment_data.items():
    config['environment'] = environment
# Your code here

Need a hint?

Add the 'deployment_status' key with value 'ready' to the AWS config.