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

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.

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

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

• Features
• Web Tier
• Application Tier
• Database Tier
• Terraform Configuration
• Deployment
• Usage
• Contributing
• License

• 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.

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.

• Launch Template Configuration
• Load Balancer Configuration
• Auto Scaling Configuration
• Security Group Configuration of Load balancer
• Security Group Configuration of Auto Scaling Group

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.

• Launch Template Configuration
• Load Balancer Configuration
• Auto Scaling Configuration
• Security Group Configuration of Load balancer
• Security Group Configuration of Auto Scaling Group

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.

• DB Subnet group Configuration
• Amazon RDS Configuration
• Security Group 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

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.

• 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.

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

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

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

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

This project is licensed under the MIT License.