🏥 Patient Management System 2.0: Cloud-Native Evolution

Now with Production-Grade Kubernetes Orchestration & CI/CD Automation!

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🚀 Key Enhancements (New!)

• Kubernetes Cluster Deployment with k3s
• GitHub Actions CI/CD Pipeline with automated testing
• Kubernetes Dashboard integration with RBAC
• Infrastructure as Code via comprehensive Makefile
• Advanced Monitoring of cluster resources
• Production-Ready service mesh architecture

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🛠️ Tech Stack Supercharged

Core Services
Spring Boot | gRPC | Kafka | PostgreSQL | Spring Security

Cloud Native
Kubernetes (k3s) | Docker | GitHub Actions

Observability
Kubernetes Dashboard

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🌐 System Architecture

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🚦 Getting Started

📋 Prerequisites

• Docker 20.10+
• kubectl 1.28+
• k3d 5.6.0+

🛠️ Installation

# Clone repository
git clone git@github.com:Abdellahbounab/PatientManagementSystem.git
cd PatientManagementSystem

# Spin up cluster (Automatic in CI/CD)
make install && make build && make deploy

# Verify deployment
make status

🔍 Testing the System

# Run integration tests
make test

# Access services
API Gateway: http://localhost:4004
Dashboard: http://localhost:30443
Token of Dashboard: in k3s/dashboard/token.txt

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🔄 CI/CD Pipeline

Automated Workflow Includes:

1. Cluster provisioning with k3d
2. Docker image builds
3. Kubernetes deployment validation
4. Integration testing
5. Real-time status monitoring

graph LR
A[Code Push] --> B[Cluster Setup]
B --> C[Build Images]
C --> D[Deploy to k3s]
D --> E[Run Tests]
E --> F[Report Status]

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📊 Monitoring & Operations

Key Makefile Commands:

make watch      # Real-time pod monitoring
make logs       # Aggregate service logs
make restart    # Zero-downtime deployments
make lint       # Validate Kubernetes manifests

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🤝 Contribution Guidelines

1. Fork the repository
2. Create feature branch (git checkout -b feature/amazing-feature)
3. Commit changes (git commit -m 'Add amazing feature')
4. Push to branch (git push origin feature/amazing-feature)
5. Open Pull Request

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