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Multi-stage deployment using Terraform for AWS infrastructure. Automates Dev, Stage, and Prod environments with S3, EC2, and DynamoDB. Scalable, efficient, and modular.

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Multi-Stage Deployment with Terraform

3-Tier Application Deployment Diagram

Welcome to the Multi-Stage Deployment Project, an infrastructure-as-code (IaC) solution built with Terraform to automate the deployment of AWS resources across multiple environments: Development (Dev), Staging (Stage), and Production (Prod).

Overview

This project automates the creation and management of AWS resources across three environments:

  • Each environment contains:
    • S3 bucket
    • EC2 instance
    • DynamoDB table

By using Terraform, the project ensures consistency, scalability, and maintainability while enabling easy updates and rollbacks.

Features

  • Multi-Stage Environments: Isolated environments (Dev, Stage, Prod) to support agile development and testing.
  • AWS Resource Automation: Fully automated setup of EC2, S3, and DynamoDB resources.
  • Terraform Best Practices: Modular structure with variables and outputs for reusable configurations.
  • Scalability: Easily adapt to growing infrastructure needs with minimal changes.
  • Cost Efficiency: Separate environments for efficient resource usage and testing.

Prerequisites

To use this project, you will need:

  1. An AWS account with programmatic access enabled.
  2. Terraform CLI installed. Get it here.
  3. Configured AWS CLI with credentials. Run:
    aws configure
    

How to Star the Repository

If you find this project helpful, please star the repository on GitHub to show your support:

  1. Click the ⭐ button in the top-right corner.

Author

Jibran
Passionate DevOps Engineer and Software Developer. Connect with me on LinkedIn.


Feedback & Contributions

Contributions are welcome! Feel free to fork the repository and submit a pull request.


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Multi-stage deployment using Terraform for AWS infrastructure. Automates Dev, Stage, and Prod environments with S3, EC2, and DynamoDB. Scalable, efficient, and modular.

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