Why serverless architecture matters in AWS - See It in Action

Why Serverless Architecture Matters

📖 Scenario: You are building a simple cloud setup to understand why serverless architecture is useful. Imagine you want to run a small app that responds to user requests without managing servers yourself.

🎯 Goal: Create a basic AWS Lambda function setup with a trigger and configuration to see how serverless works and why it matters.

📋 What You'll Learn

Create a dictionary called lambda_function with keys FunctionName, Runtime, and Handler with exact values

Add a configuration variable called memory_size set to 128

Create a dictionary called trigger with key EventSource set to API Gateway

Add the Trigger key to lambda_function with the trigger dictionary as its value

💡 Why This Matters

🌍 Real World

Serverless architecture lets developers run code without managing servers. This project shows how to define a simple Lambda function and its trigger, which is common in cloud apps.

💼 Career

Understanding serverless basics is essential for cloud roles like cloud engineer, developer, and architect. It helps in building scalable, cost-effective applications.

1

Create the Lambda function dictionary

Create a dictionary called lambda_function with these exact entries: 'FunctionName': 'MyServerlessApp', 'Runtime': 'python3.12', and 'Handler': 'app.handler'.

AWS

# Create the lambda_function dictionary with FunctionName, Runtime, and Handler
# Your code here

Need a hint?

Use curly braces to create a dictionary with the exact keys and values.

2

Add memory size configuration

Add a variable called memory_size and set it to 128 to represent the Lambda function's memory allocation in MB.

AWS

lambda_function = {
    'FunctionName': 'MyServerlessApp',
    'Runtime': 'python3.12',
    'Handler': 'app.handler'
}
# Add memory_size variable set to 128
# Your code here

Need a hint?

Just create a variable named memory_size and assign it the number 128.

3

Create the trigger dictionary

Create a dictionary called trigger with the key 'EventSource' set to the string 'API Gateway'.

AWS

lambda_function = {
    'FunctionName': 'MyServerlessApp',
    'Runtime': 'python3.12',
    'Handler': 'app.handler'
}
memory_size = 128
# Create trigger dictionary with EventSource set to 'API Gateway'
# Your code here

Need a hint?

Use curly braces to create a dictionary with the key and value exactly as shown.

4

Add the trigger to the Lambda function

Add the key 'Trigger' to the lambda_function dictionary and set its value to the trigger dictionary.

AWS

lambda_function = {
    'FunctionName': 'MyServerlessApp',
    'Runtime': 'python3.12',
    'Handler': 'app.handler'
}
memory_size = 128
trigger = {
    'EventSource': 'API Gateway'
}
# Add 'Trigger' key to lambda_function with trigger dictionary as value
# Your code here

Need a hint?

Use the dictionary key assignment syntax to add the 'Trigger' key with the trigger dictionary as its value.