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3-Tier Architecture

A visual explanation of a classic 3-tier architecture implemented on AWS using CloudFormation.

This diagram explains a classic 3-tier web architecture, a fundamental pattern for building robust and scalable applications. This implementation is deployed on AWS and automated with CloudFormation.

Diagram of a 3-tier AWS architecture: public ALB and web tier, private app tier on EC2, and private RDS database across subnets

Figure 1: A standard 3-tier architecture on AWS. Click the image to view full size.

Architectural Overview

The 3-tier architecture separates the application into three logical and physical layers:

  • Presentation Layer (Web Tier): This is the layer that users interact with. It includes a load balancer that distributes traffic and web servers that serve the user interface. This layer lives in a public subnet, making it accessible from the internet.
  • Application Layer (App Tier): This layer contains the business logic of the application. It runs on application servers (like EC2 instances) in a private subnet. It is not directly accessible from the internet, which enhances security.
  • Data Layer (Database Tier): This layer stores the application's data. It consists of a database (like Amazon RDS) in a separate, private subnet, making it the most secure part of the architecture.

Why This Architecture?

This design is a standard for building enterprise-level applications for several reasons:

  • Security: By placing the application and database layers in private subnets, you protect them from direct internet access, significantly reducing the attack surface.
  • Scalability: Each layer can be scaled independently. If your application logic becomes a bottleneck, you can add more application servers without touching the other layers.
  • Maintainability: The separation of concerns makes the application easier to develop, update, and maintain. Different teams can work on different layers simultaneously.
  • Automation: Using AWS CloudFormation to define this infrastructure as code allows for fast, reliable, and repeatable deployments, eliminating manual configuration errors.