Internal Feedback Collection Web App

🌐 Live Demo: https://devopsjames.com

This repository demonstrates a production-grade, containerized Flask web application deployed to AWS ECS Fargate, showcasing cloud, DevOps, and CI/CD best practices.

Key highlights:

• Infrastructure as Code with Terraform (modular, multi-environment)
• Multi-environment CI/CD via GitHub Actions (develop → test, main → prod)
• Secure & Scalable AWS Architecture (ECR, ALB, ACM, DynamoDB, CloudWatch)
• Full observability & automation with logging, autoscaling, and IaC

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📄 Documentation

• CI/CD Pipeline Overview
• Terraform Infrastructure
• Flask Application Source

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🔹 Project Overview

This Internal Feedback Collection Web App is a lightweight tool for collecting:

• Bug reports
• Feature requests
• General internal feedback

Ideal for internal SaaS tools or dashboards, it allows staff to quickly submit input to dev or support teams.

The project demonstrates how to:

• Design scalable, secure AWS cloud infrastructure
• Automate deployments with multi-environment CI/CD
• Apply Infrastructure as Code (IaC) principles with Terraform

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🔹 Key Features

1. Scalability & Reliability

• AWS ECS Fargate handles container orchestration without EC2 management
• Application Load Balancer (ALB) provides high availability across AZs
• ECS Autoscaling ensures the app adapts to load changes

2. Security

• HTTPS via ACM encrypts traffic end-to-end
• Route 53 + ALB manage DNS and SSL seamlessly
• IAM task roles grant least-privilege access to DynamoDB
• Optional AWS WAF for protection against XSS/SQLi attacks

3. Observability

• AWS CloudWatch Logs capture application & infrastructure logs
• Integrated with ECS for task-level logging

4. Automation & CI/CD

• GitHub Actions builds & pushes Docker images to Amazon ECR
• ECS Service Deployment automatically triggered on each branch push:
  • develop → Test Environment (test-latest image)
  • main → Production Environment (prod-latest image)

5. Infrastructure as Code

• Terraform Modules manage VPC, ECS, ALB, IAM, DynamoDB, and logging
• Remote backend (S3 + DynamoDB) prevents state drift in team workflows

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🚀 Deployment Workflow

1. Developer pushes to develop → Deploy to Test
2. Validate functionality in the test environment
3. Merge develop → main → Deploy to Production

The CI/CD pipeline ensures fast, repeatable, and safe deployments.

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🏆 Skills Demonstrated

• Cloud Architecture (AWS ECS, ALB, DynamoDB, ACM, CloudWatch)
• Infrastructure as Code (Terraform with remote state)
• CI/CD & Automation (GitHub Actions, Docker, ECR, ECS)
• Security Best Practices (IAM least privilege, HTTPS, optional WAF)
• Scalable Application Deployment with autoscaling & observability

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