● Platform Online

Cloud Support & Incident Intelligence Platform

A production-style AWS cloud support engineering lab built to demonstrate deployment, monitoring, troubleshooting, incident response, root-cause analysis, and operational support of a customer-facing cloud service.

About the Project

This project simulates the type of environment a Cloud Support Engineer or Technical Support Engineer may be responsible for supporting in production.

Rather than focusing only on application development, the platform is designed around diagnosing failures across multiple technical layers including AWS infrastructure, Linux, networking, NGINX, Gunicorn, Flask, application configuration, monitoring, and permissions.

Architecture

Internet → HTTPS → NGINX → Gunicorn → Flask ↓ Health & Readiness ↓ CloudWatch ↓ Monitoring / Incident Analysis

Operational Capabilities

AWS infrastructure provisioned with Terraform
Secure EC2 administration through AWS Systems Manager
NGINX reverse proxy with HTTPS
Gunicorn production-style WSGI deployment
Application health and readiness monitoring
CloudWatch logging, metrics, and alarms
Production-style troubleshooting and root-cause analysis
AI-assisted CloudWatch log investigation

Operational Endpoints

/healthz — Application liveness /readyz — Application readiness /api/v1/status — Detailed operational status

Engineering Goal

The goal is to demonstrate an end-to-end support engineering workflow:

Detect → Investigate → Isolate → Resolve → Validate → Monitor → Document