The application exposes a /health endpoint that is continuously monitored using a Python script. A lightweight HTML dashboard displays the application's health status, response time, uptime, and request statistics.

Project Structure

Q1-Deploy-and-Monitoring/
│
├── screenshots/
│   ├── dashboard-local.png
│   └── dashboard-ghaymah.png
│
├── Dockerfile
├── app.py
├── health-check.py
├── dashboard.html
├── monitor-log.csv
├── requirements.txt
├── install-docker.sh
└── README.md

Task Requirements

This implementation satisfies all requirements of Question 1.

Requirement	Status
Dockerize the API	✅
Deploy to Ghaymah Cloud	✅
Implement `/health` endpoint	✅
Monitoring script (every 30 seconds)	✅
Monitoring Dashboard	✅

Technologies

Python
Flask
Docker
HTML
CSS
JavaScript
Ghaymah Cloud
Ghaymah CLI

API

Health Endpoint

GET /health

Example response

{
    "status": "healthy"
}

The monitoring script periodically sends requests to this endpoint to verify application availability.

Docker

Build the Docker image

docker build -t exam-api .

Run the container

docker run -d -p 5000:5000 exam-api

Monitoring Script

The monitoring script (health-check.py) executes every 30 seconds and performs the following operations:

Sends an HTTP request to /health
Measures response latency
Detects application availability
Records monitoring results
Updates monitor-log.csv

Run the monitor

python3 health-check.py

Monitoring Dashboard

The dashboard was implemented using HTML, CSS and JavaScript.

Displayed metrics include:

Current application status
Response time
Total requests
Application uptime
Monitoring history

Deployment using Ghaymah CLI

The application was deployed to Ghaymah Cloud using the official CLI.

Deployment workflow:

Install Ghaymah CLI
Authenticate using account credentials
Select deployment configuration
Launch the application

Example commands

gy auth login

cp .ghaymah.production.json .ghaymah.json

gy resource app launch

Dashboard Preview

Local Testing

The dashboard was first tested locally against the application running on the EC2 instance before deploying to Ghaymah Cloud.

Ghaymah Cloud Deployment

After deployment, the dashboard successfully monitored the live application hosted on Ghaymah Cloud.

Result

The project successfully demonstrates:

Docker containerization
Cloud deployment on Ghaymah
Automated health monitoring
Response time tracking
Monitoring dashboard
Continuous application health verification

This implementation satisfies all requirements of Question 1 – Deploy and Monitor an API on Ghaymah Cloud.

README.md إلغاء الهروب الهروب

Q1 - Deploy and Monitor an API on Ghaymah Cloud

Overview