AWS CLI Tools

This repository contains a set of Python scripts for managing AWS services (EC2, S3, and DynamoDB) using the boto3 SDK and command-line arguments. It was developed as part of a lab assignment for cloud infrastructure and computing courses.

Contents

aws_cli_ec2.py – EC2 Instance Management

A script to automate EC2-related tasks such as:

• Creating EC2 instances with optional user-data scripts
• Tagging and describing instances
• Listing all running instances
• Starting, stopping, or terminating instances
• Creating and assigning security groups

aws_cli_s3.py – S3 Bucket and Object Management

Handles typical operations on Amazon S3:

• Creating buckets in any region
• Uploading files and folders
• Listing objects
• Making files public
• Deleting objects and buckets

aws_cli_dynamodb.py – DynamoDB Table Management

Performs operations on Amazon DynamoDB:

• Creating tables with a primary key
• Loading JSON data from S3
• Printing all table contents
• Deleting tables

Usage

Each script can be run from the terminal with specific commands:

EC2 Example Commands

Use these CLI commands to manage your Amazon EC2 instances via aws_cli_ec2.py.

---

# Create a new EC2 instance
python aws_cli_ec2.py create-instance --ami-id <AMI_ID> --type <INSTANCE_TYPE> --key <KEY_NAME> --sg <SECURITY_GROUP_NAME> [--script <PATH_TO_SCRIPT>]

# Modify instance tags (e.g., Name and Description)
python aws_cli_ec2.py tag --id <INSTANCE_ID> --tag Name=MyInstance --tag Description=Test

# Get detailed information about an instance
python aws_cli_ec2.py describe --id <INSTANCE_ID>

# List all instances
python aws_cli_ec2.py list

# Change the security group of an instance (e.g., open ports 22 and 80)
python aws_cli_ec2.py change-sg --id <INSTANCE_ID> --sg <SECURITY_GROUP_NAME> --ports 22,80

# Stop a running instance
python aws_cli_ec2.py stop --id <INSTANCE_ID>

# Start a stopped instance
python aws_cli_ec2.py start --id <INSTANCE_ID>

# Terminate (delete) an instance
python aws_cli_ec2.py terminate --id <INSTANCE_ID>

S3 Example Commands

# Create a new S3 bucket
python aws_cli_s3.py create-bucket --name <BUCKET_NAME> --region <REGION>

# Upload a file to the bucket
python aws_cli_s3.py upload-file --bucket <BUCKET_NAME> --file <FILE_PATH> [--key <OBJECT_KEY>]

# Upload an entire folder to the bucket
python aws_cli_s3.py upload-folder --bucket <BUCKET_NAME> --folder <FOLDER_PATH>

# List all files in the bucket
python aws_cli_s3.py list --bucket <BUCKET_NAME>

# Make a file publicly accessible
python aws_cli_s3.py make-public --bucket <BUCKET_NAME> --key <OBJECT_KEY>

# Delete a specific file from the bucket
python aws_cli_s3.py delete-object --bucket <BUCKET_NAME> --key <OBJECT_KEY>

# Delete the bucket (removes all contents first)
python aws_cli_s3.py delete-bucket --bucket <BUCKET_NAME>

DynamoDB Example Commands

# Create a new DynamoDB table
python aws_cli_dynamodb.py create --name <TABLE_NAME> --key <PARTITION_KEY> --type S

# Load JSON data from an S3 file into the DynamoDB table
python aws_cli_dynamodb.py load --table <TABLE_NAME> --bucket <BUCKET_NAME> --key <S3_OBJECT_KEY>

# Retrieve all items from the table
python aws_cli_dynamodb.py get --table <TABLE_NAME>

# Delete the DynamoDB table
python aws_cli_dynamodb.py delete --table <TABLE_NAME>

Note: Before running these scripts, ensure AWS credentials are properly configured (via aws configure or ~/.aws/credentials), and that required permissions are granted for EC2, S3, and DynamoDB.