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tf-multi-tier-architecture's Introduction

Multi-Tier Architecture on AWS using Terraform

Deploy a scalable and resilient multi-tier architecture on AWS using Terraform.

๐Ÿš€ Project Overview

This project allows us to deploy a highly available, scalable, and secure multi-tier architecture on Amazon Web Services (AWS) using Terraform. The architecture consists of the following three tiers:

  • Web Tier: This tier handles incoming user requests and can be horizontally scaled for increased capacity. It typically includes web servers and a load balancer for distributing traffic.

  • Application Tier: Application servers run our business logic and interact with the database tier. They can also be horizontally scaled to meet demand.

  • Database Tier: The database stores and manages our application data. In this architecture, we use Amazon RDS for a managed database service.

๐Ÿ“Œ Architecture Diagram

multi-tier-architecture

๐Ÿšฆ Getting Started

Prerequisites

Before you get started, make sure you have the following prerequisites in place:

  • Terraform installed.
  • AWS IAM credentials configured.
  • Git for cloning the repository.

๐Ÿ“‹ Table of Contents

โœจ Features

  • High Availability: The architecture is designed for fault tolerance and redundancy.
  • Scalability: Easily scale the web and application tiers to handle varying workloads.
  • Security: Security groups and network ACLs are configured to ensure a secure environment.

๐ŸŒŸ Web Tier

The Web Tier is the entry point for incoming user requests. It typically includes:

  • Load Balancer: Distributes traffic across multiple web servers.
  • Auto Scaling: Automatically adjusts the number of web servers based on traffic.
  • Security Groups: Controls incoming and outgoing traffic to the web servers.

Web Tier Configuration

๐Ÿš€ Application Tier

The Application Tier hosts the application servers responsible for running business logic and interacting with the database tier. Key components include:

  • Application Servers: These run your application code and can be horizontally scaled.
  • Load Balancer: Distributes traffic to the application servers.
  • Auto Scaling: Automatically adjusts the number of web servers based on traffic.
  • Security Groups: Controls incoming and outgoing traffic to the application servers.

Application Tier Configuration

๐Ÿ’ฝ Database Tier

The Database Tier stores and manages our application data. We use Amazon RDS for a managed database service. Key components include:

  • Amazon RDS: A managed database service for MySQL/PostgreSQL/SQL Server databases.
  • Security Groups: Control incoming and outgoing traffic to the database.

Database Tier Configuration

๐Ÿ”ง Terraform Configuration

The Terraform configuration for this project is organized into different and resources to create the necessary AWS infrastructure components. Key resources include:

  • Virtual Private Cloud (VPC)
  • Subnets and Route Tables
  • Security Groups and Network ACLs
  • Load Balancers
  • Auto Scaling Groups
  • RDS Database Instances

๐Ÿš€ Deployment

Follow these steps to deploy the architecture:

  1. Clone the repository:

    git clone https://github.com/mathesh-me/multi-tier-architecture-using-terraform.git
  2. Make changes as per your needs.

  3. Initialize Terraform and apply the configuration:

    terraform init
    
  4. Review the changes and confirm.

๐Ÿ’ผ Usage

Scaling

  • To scale the Web or Application Tier, use Auto Scaling configurations provided in the respective Terraform files. Adjust the desired capacity to match your scaling requirements.

Database Management

  • Access the Amazon RDS instance in the Database Tier to manage your data.

Load Balancing

  • Configure the load balancer in the Web and Application Tiers to distribute traffic evenly.

Security Considerations

  • Review and customize the security groups and network ACLs to meet your specific security requirements.

๐Ÿค Contributing

Contributions are Welcome! Please read my Contributing Guidelines to get started with contributing to this project.

๐Ÿ“„ License

This project is licensed under the MIT License.

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Contributors

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