Track Your AWS Resources Like a Pro — With a Simple Bash Script
Managing cloud infrastructure can get overwhelming. With resources like S3 buckets, IAM users, and EC2 instances scattered across your AWS account, it’s hard to keep track of everything. This simple tool, the AWS Resource Tracker, solves this problem by automating the tracking and logging of your AWS resources.
✅ No need for Python ✅ No external dependencies ✅ Just Bash and AWS CLI
🧰 What It Does
This script collects a snapshot of key AWS resources and logs the data into timestamped files. It’s perfect for audits, monitoring resource usage, and keeping track of your AWS environment.
📋 Features:
🧱 Folder Structure
Here’s what the project folder looks like:
aws-resource-tracker/
│
├── aws_resource_tracker.sh # Main script
├── logs/ # Output log files
└── README.md # Project docs
⚙️ Prerequisites
Before you run the script, ensure the following:
aws configure
🚀 Getting Started
Step 1: Clone the Repo or Download the Script
If you’re cloning from GitHub:
git clone https://github.com/Hetpatel7131/aws-resource-tracker.git
Or, download the aws_resource_tracker.sh file and place it in your desired directory. GitHub repo: link
Step 2: Make the Script Executable
To make the script executable, run this command:
chmod +x aws_resource_tracker.sh
Step 3: Run the Script
Now, execute the script:
./aws_resource_tracker.sh
Sample Output
The script will generate logs in the logs/ folder. The log file will be timestamped, like so:
logs/aws_resource_tracker_2025-04-14_22-40.log
Every time the script runs, a new log file is created.
⏰ Automate the Script with Cron
To run this script daily at 22:46 PM, follow these steps:
Step 1: Open Your Crontab
crontab -e
Step 2: Add the Cron Job
Add the following line to schedule the script:
46 22 * * * /path/to/aws-resource-tracker/aws_resource_tracker.sh >> /path/to/aws-resource-tracker/logs/cron_output.log 2>&1
This cron job will run the script at 22:46 PM every day and log the output to cron_output.log.
Step 3: Save and Exit
Save the file and exit the editor. Now, the script will run automatically at the scheduled time.
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