Medical API Project

A Kubernetes-ready medical appointment management API with monitoring capabilities using Prometheus and Grafana.

Features

• User authentication and authorization
• Doctor and patient management
• Appointment scheduling and tracking
• Containerized with Docker
• Kubernetes deployment configuration
• Monitoring with Prometheus and custom Grafana dashboards
• Automatic scaling based on CPU usage

Technologies Used

• Node.js
• Express.js
• MongoDB
• Docker
• Kubernetes
• Prometheus
• Grafana

Getting Started

Prerequisites

• Node.js (v14+)
• MongoDB
• Docker and Docker Compose (for containerization)
• Kubernetes cluster (for deployment)

Installation

1. Clone the repository:

git clone https://github.com/SpyderCode/medical-api.git
cd medical-api

2. Install dependencies:

npm install

3. Configure environment variables:

cp .env.example .env
# Edit .env with your configuration

4. Run the application:

npm start

Docker Deployment

docker pull spinneowo/medical-api:latest
docker run -p 3000:3000 spinneowo/medical-api

Kubernetes Deployment

kubectl apply -f kubernetes/

Monitoring

The application comes with built-in monitoring using Prometheus and Grafana dashboards:

• Medical API Dashboard: Shows overall system health, pod counts, and resource usage
• API Metrics Dashboard: Displays detailed API request metrics and performance data

License

MIT License

Author

• SpyderCode (GitHub)
• spinneowo (DockerHub)