Tfquery

Abstract

1. Introduction

tfquery is a framework that allows running SQL queries on Terraform code. It's made to analyze your Terraform infrastructure, locate resources, run security compliance checks, spot misconfigured resources, develop CI benchmarks, and much more.

tfquery is made to help in answering questions that are hard to answer about your infrastructure-as-code. It allows querying resources and analyzing its configuration using a SQL-powered framework.

2. Objective

tfquery: Run SQL queries on your Terraform infrastructure. Query resources and analyze its configuration using a SQL-powered framework.

This project demonstrates how Python, Terraform, AWS can be applied to a real-world Blockchain & Cloud Computing problem.

4. Technology Stack

5. System Requirements

General requirements for this technology stack — check the README for exact versions.

• Python 3.8 or later
• pip / virtualenv for dependencies
• VS Code, PyCharm or Jupyter Notebook
• Git (to clone the repository)

6. Installation & Setup

git clone https://github.com/mazen160/tfquery.git
cd tfquery

mazin@hackbox$> git clone https://github.com/mazen160/tfquery.git
mazin@hackbox$> cd tfquery
mazin@hackbox$> python3 setup.py install

mazin@hackbox$> pip install git+https://github.com/mazen160/tfquery

Full setup instructions are in the project README.

7. Future Enhancements

Suggested extensions you can add to make this your own project.

• Add a CI/CD pipeline with GitHub Actions
• Deploy to a public test network or cloud free tier
• Add monitoring and cost alerts

8. Viva / Review Questions

Common questions examiners ask for projects in this domain.

1. Why does this problem need a blockchain or cloud-native design?
2. Explain the smart contract / infrastructure components and how they interact.
3. How are gas costs or cloud costs kept under control?
4. How is the system secured (keys, IAM, access control)?
5. How would the solution scale to many more users?

9. Source Code & License

This project is developed by mazen160 and published on GitHub under the MIT License. Please follow the license terms and credit the original author when you use or modify this code.