AWS Trusted Advisor recommendations - Mini Project: Build & Apply

AWS Trusted Advisor Recommendations

📖 Scenario: You are managing an AWS account and want to check the health and best practices of your AWS resources. AWS Trusted Advisor helps by giving recommendations to optimize your AWS environment.In this project, you will create a simple script to retrieve AWS Trusted Advisor recommendations using AWS SDK.

🎯 Goal: Build a script that connects to AWS Trusted Advisor service, retrieves the list of checks, and filters the recommendations for a specific category.

📋 What You'll Learn

Create a client to connect to AWS Support service

Retrieve the list of Trusted Advisor checks

Filter checks by category 'cost_optimizing'

Print the check names and their IDs

💡 Why This Matters

🌍 Real World

AWS Trusted Advisor helps cloud administrators optimize costs, improve security, and enhance performance by providing actionable recommendations.

💼 Career

Knowing how to programmatically access Trusted Advisor data is useful for cloud engineers and architects to automate monitoring and reporting.

1

Create AWS Support client

Create a variable called support_client that uses boto3.client to connect to the AWS Support service with the region set to 'us-east-1'.

AWS

# Create AWS Support client
# Your code here

Need a hint?

Use boto3.client('support', region_name='us-east-1') to create the client.

2

Retrieve Trusted Advisor checks

Use the support_client to call describe_trusted_advisor_checks with language='en' and store the result in a variable called checks_response.

AWS

import boto3

support_client = boto3.client('support', region_name='us-east-1')
# Retrieve Trusted Advisor checks
# Your code here

Need a hint?

Call describe_trusted_advisor_checks(language='en') on support_client.

3

Filter checks by category

Create a list called cost_checks that contains only the checks from checks_response['checks'] where the 'category' is exactly 'cost_optimizing'.

AWS

import boto3

support_client = boto3.client('support', region_name='us-east-1')

checks_response = support_client.describe_trusted_advisor_checks(language='en')
# Filter checks by category 'cost_optimizing'
# Your code here

Need a hint?

Use a list comprehension to filter checks where check['category'] == 'cost_optimizing'.

4

Print check names and IDs

Use a for loop with variables check to iterate over cost_checks. Inside the loop, print the check['name'] and check['id'] separated by a dash.

AWS

import boto3

support_client = boto3.client('support', region_name='us-east-1')

checks_response = support_client.describe_trusted_advisor_checks(language='en')

cost_checks = [check for check in checks_response['checks'] if check['category'] == 'cost_optimizing']
# Print check names and IDs
# Your code here

Need a hint?

Use a for loop and print the name and id of each check.