Step - by- Steps:

Project Overview

I recently completed a hands-on project where I automated the deployment of a web application using AWS services and Bash scripting. This project taught me how to leverage AWS infrastructure for high availability, scalability, and streamlined automation.

🚀 EC2 Instance Launch

To begin, I created a Bash script that launches two EC2 instances configured to host a web server. Automating this process reduced manual provisioning, making the setup faster and less error-prone.

🎯 Target Group Configuration

Once the EC2 instances were live, I set up two Target Groups to distribute incoming traffic across both instances. This redundancy improves the availability of the application and ensures an even distribution of traffic.

🔄 Application Load Balancer (ALB) Setup

Next, I configured an Application Load Balancer (ALB) and connected it to the Target Groups. Using DNS, I routed traffic through the ALB and set up path-based routing to direct users to different sections of the application based on URL paths.

✅ Testing & Validation

After configuring the infrastructure, I ran tests to confirm that traffic routed correctly according to URL paths and that it was evenly balanced across both instances, providing a seamless experience.

💡 Why Choose an Application Load Balancer?

Efficient Traffic Management: The ALB ensures no single instance gets overwhelmed, delivering a better user experience and reducing downtime risks.

Path-Based Routing: Using path-based routing, I directed traffic to specific parts of the website based on URL paths, making it perfect for handling multiple services or microservices.

Enhanced Security: Operating at Layer 7, the ALB inspects HTTP/S headers, adding a layer of security against common web attacks.

⚙ Key ALB Use Cases

Microservices Architectures: ALB is well-suited for distributing requests among microservices.
Multi-Region Deployments: ALB enables efficient routing across regions for high availability.
Path-Based Routing for Web Applications: Ideal for applications that need to direct users to specific endpoints (e.g., /api for backend API services).

🏆 Advantages of Application Load Balancer

Automatic Scaling: ALB scales with traffic, saving costs by scaling down when traffic is low.
Health Checks: ALB performs health checks and routes traffic away from unhealthy instances, enhancing reliability.
SSL Termination: ALB manages SSL certificates, reducing load on backend servers.

This project has deepened my understanding of AWS automation, load balancing, and cloud architecture, allowing me to manage web applications with high availability, scalability, and security.

💬 Have you tried deploying a web application with AWS ALB? Share your experiences or challenges in the comments below!

Tags:

#AWS #DevOps #CloudComputing #LoadBalancer #EC2 #Automation #InfrastructureAsCode #WebDevelopment #PathRouting #CloudEngineer #Microservices #Hashnode

🌐 Day-11:Automated Website Deployment with AWS: EC2, Target Groups, and Application Load Balancer 🌐