Today’s goal is to understand how Python works with AWS.

You will learn two important things that DevOps engineers do in real life:

1. Use Python (Boto3) to read information from AWS
2. Understand how Infrastructure as Code (IaC) works using AWS CDK (Optional)

Do not worry — today is safe and beginner-friendly. You are NOT deleting or modifying anything in AWS.

You will write a Python script that:

• Connects to your AWS account
• Lists:
  • EC2 instances (instance ID and state)
  • S3 buckets (bucket names)
• Prints the output in the terminal
• Saves the output into a JSON file

This helps you understand how AWS services talk using APIs and how Python can automate that.

• One Python script (example: aws_resource_report.py)
• One JSON file (example: aws_report.json)
• Output visible:
  • In terminal
  • In JSON file

This is completely optional for you, & in this part, you will not focus on automation, but on understanding the idea.

You will learn:

• What is Infrastructure as Code (IaC)
• How AWS CDK lets you define AWS resources using Python
• How CDK code is converted into CloudFormation

You will create a very basic CDK example:

• A simple CDK app
• One stack defining an S3 bucket

Deployment is optional.
Understanding the flow is more important than running the command.

• One CDK app folder (example: cdk-demo/)
• One stack file (example: cdk_demo_stack.py)

This is optional and only for learning purposes.

You may:

• Create a simple AWS Lambda function
• Use Python runtime
• Return a basic "Hello World" response

This is only to understand:

• How Python runs in the cloud
• What “serverless” means

Note: This is NOT mandatory and can be skipped if you are new to AWS. This will be covered in-depth in DevOps - Zero To Hero Josh Batch 10

• Use:
  • boto3 only for read-only operations (even though it can be used to Create, Read, Update, Delete, Resources [CRUD]) - best to use IaC Tools for CRUD operations eg. Terraform, CloudFormation, etc.
  • AWS credentials already configured locally
• Do NOT:
  • Delete resources
  • Modify resources
• Keep scripts simple
• Focus on understanding, not memorizing syntax

• AWS CLI & credentials configuration:
  https://docs.aws.amazon.com/cli/latest/userguide/cli-configure-quickstart.html

• Boto3 documentation:
  https://boto3.amazonaws.com/v1/documentation/api/latest/index.html

• EC2 with Boto3:
  https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/ec2.html

• S3 with Boto3:
  https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/s3.html

• AWS CDK Introduction:
  https://docs.aws.amazon.com/cdk/v2/guide/home.html

• CDK with Python:
  https://docs.aws.amazon.com/cdk/v2/guide/work-with-cdk-python.html

In real DevOps work:

• AWS is managed using APIs, not clicks
• Python is used to automate cloud tasks
• Infrastructure is written as code, not manual setup

Today’s learning helps you:

• Gain confidence with AWS
• Understand cloud automation
• Prepare for production DevOps work

1. Add your Boto3 script inside the day-08 folder
2. Ensure AWS credentials are working
3. Verify JSON report is generated
4. (Optional) Add your CDK demo folder
5. Commit and push your changes to your fork

Share your progress on LinkedIn:

• Share a small snippet of your Boto3 or CDK code
• Share terminal output or JSON output
• Write 2–3 lines on what you learned about AWS + Python

Optional:

• Tag TrainWithShubham or Shubham Londhe
• Use hashtags: #PythonForDevOps #TrainWithShubham #DevOpsKaJosh (Helps me to filter post and Like/ Comment / Repost / engage)

Happy Learning
TrainWithShubham