https://github.com/hhsakaa/cloud-cost-optimization
This repository automates cloud cost optimization by identifying and deleting unused AWS resources. It leverages AWS CloudWatch for monitoring, AWS Lambda for task automation, and Boto3 for API interactions. Notifications are sent via SQS before cleaning up abandoned snapshots, helping to reduce unnecessary costs in AWS environments.
https://github.com/hhsakaa/cloud-cost-optimization
aws aws-cloudwatch aws-lambda aws-sqs boto3 python
Last synced: about 2 months ago
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This repository automates cloud cost optimization by identifying and deleting unused AWS resources. It leverages AWS CloudWatch for monitoring, AWS Lambda for task automation, and Boto3 for API interactions. Notifications are sent via SQS before cleaning up abandoned snapshots, helping to reduce unnecessary costs in AWS environments.
- Host: GitHub
- URL: https://github.com/hhsakaa/cloud-cost-optimization
- Owner: hhsakaa
- Created: 2024-10-16T11:52:03.000Z (over 1 year ago)
- Default Branch: master
- Last Pushed: 2024-11-14T08:22:46.000Z (over 1 year ago)
- Last Synced: 2025-06-05T16:46:31.902Z (about 1 year ago)
- Topics: aws, aws-cloudwatch, aws-lambda, aws-sqs, boto3, python
- Language: Python
- Homepage:
- Size: 9.77 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# AWS Cloud Cost Optimization Automation
## Overview
This project automates the identification and deletion of unused AWS resources, such as abandoned snapshots, to optimize cloud costs. By leveraging various AWS services like Lambda, CloudWatch, SQS, and the Python Boto3 module, it provides a scalable, serverless solution for reducing cloud infrastructure expenses.
## Features
- **Automated Resource Monitoring:** Uses AWS CloudWatch to monitor AWS resources, such as instances, volumes, and snapshots.
- **Serverless Architecture:** AWS Lambda triggers automated tasks without requiring dedicated infrastructure.
- **Efficient Cleanup:** Filters out unused (abandoned) snapshots that are not attached to any active instance.
- **Notification System:** Uses AWS Simple Queue Service (SQS) to notify peers of unused resources before they are deleted.
- **Cost Savings:** Helps prevent unnecessary expenses by cleaning up abandoned resources.
## Technologies Used
- **AWS CloudWatch:** For resource monitoring and event triggering.
- **AWS Lambda:** For running automated serverless functions.
- **AWS Simple Queue Service (SQS):** For notifying peers about unused resources.
- **Boto3 (Python Module):** To interact with AWS APIs, retrieve resource details, and perform actions like snapshot deletion.
## How It Works
1. **Monitor Resources:** AWS CloudWatch tracks cloud resource usage and triggers Lambda functions based on predefined criteria.
2. **Identify Unused Snapshots:** The Boto3 module interacts with AWS APIs to retrieve lists of snapshots, instances, and volumes, filtering out unused ones.
3. **Peer Notification:** Notifications are sent to peers via SQS about abandoned snapshots to provide visibility into resource wastage.
4. **Automated Cleanup:** After notifications, unused snapshots are deleted automatically to reduce ongoing costs.
## Setup Instructions
To use this automation in your AWS environment:
1. **Clone the Repository:**
```bash
git clone https://github.com/hhsakaa/cloud-cost-optimization.git