[FEATURE] Add Production Health Check and Monitoring Endpoints

[1234-ad]

🎯 Feature Request

Problem Statement

Currently, the IssueMatch API lacks health check and monitoring endpoints, which are essential for:

• Production deployments
• Kubernetes/Docker orchestration
• Load balancer health checks
• Monitoring and alerting systems
• Zero-downtime deployments

Impact:

• ❌ No way to validate service health programmatically
• ❌ Cannot implement Kubernetes liveness/readiness probes
• ❌ No visibility into MongoDB connection status
• ❌ No system metrics for performance monitoring
• ❌ Difficult to debug deployment issues

Proposed Solution

Add three comprehensive health monitoring endpoints:

1. Basic Health Check - /api/v1/health

• Simple liveness probe for orchestrators
• Fast response for load balancers
• Returns service status and timestamp

2. Detailed Health Check - /api/v1/health/detailed

• MongoDB connection validation
• Dependency status checks
• API version information
• Uptime tracking
• Returns 503 if dependencies unhealthy

3. System Metrics - /api/v1/health/metrics

• Memory usage (system + process)
• CPU utilization
• Thread count
• Python version
• Human-readable uptime

Benefits

For DevOps:

• ✅ Zero-downtime deployments
• ✅ Automated health monitoring
• ✅ Kubernetes-ready probes
• ✅ Docker health checks
• ✅ Load balancer integration

For Developers:

• ✅ Easy debugging of deployment issues
• ✅ Dependency status visibility
• ✅ Performance metrics access
• ✅ Uptime tracking

For Production:

• ✅ Service reliability monitoring
• ✅ Early problem detection
• ✅ Resource usage tracking
• ✅ Capacity planning data

Technical Requirements

Dependencies:

• Add psutil for system metrics collection

Implementation:

• Create health check endpoint module
• Integrate with existing MongoDB service
• Add comprehensive documentation
• Include Kubernetes/Docker examples

Response Format:

{
  "status": "healthy",
  "service": "IssueMatch API",
  "timestamp": "2026-01-17T09:30:00.000000",
  "uptime_seconds": 3600,
  "dependencies": {
    "mongodb": {
      "status": "healthy",
      "message": "Connected and responsive"
    }
  }
}

Use Cases

1. Kubernetes Liveness Probe - Restart unhealthy pods
2. Kubernetes Readiness Probe - Remove from service if not ready
3. Docker Health Check - Container health validation
4. Load Balancer - Route traffic to healthy instances
5. Monitoring Systems - Track uptime and performance
6. Alerting - Notify on service degradation

Acceptance Criteria

• Basic health check endpoint implemented
• Detailed health check with MongoDB validation
• System metrics endpoint with resource data
• Endpoints integrated into API router
• Dependencies added to requirements.txt
• Comprehensive documentation created
• Kubernetes integration examples
• Docker health check examples
• No breaking changes to existing APIs

Priority

Medium-High - Essential for production deployments and proper monitoring

Labels

• enhancement - New feature
• SWoC26 - Part of Social Winter of Code
• Medium - Moderate complexity

---

Note: This is a production-critical feature that enables proper observability and monitoring for the IssueMatch platform.

[github-actions]

Thank you for creating this issue! 🎉

This issue is part of Social Winter of Code 2026.

Next Steps:

• A maintainer will review and assign difficulty labels (Easy/Medium/Hard)
• Feel free to ask questions in the comments
• Wait for assignment before starting work

Happy contributing! 🚀

[1234-ad]

✅ Pull Request Created: #77

I've implemented a comprehensive health monitoring solution for production deployments!

🎯 Implementation Summary

Three New Endpoints:

1. /api/v1/health - Basic liveness probe (fast, simple)
2. /api/v1/health/detailed - Readiness probe with MongoDB validation
3. /api/v1/health/metrics - System resource monitoring

📊 Key Features

Health Validation:

• ✅ MongoDB connection status check
• ✅ Service uptime tracking
• ✅ API version information
• ✅ Returns 503 when dependencies fail

System Metrics:

• ✅ Memory usage (system + process)
• ✅ CPU utilization
• ✅ Thread count
• ✅ Human-readable uptime format

Production Ready:

• ✅ Kubernetes liveness/readiness probe support
• ✅ Docker health check integration
• ✅ Load balancer compatibility
• ✅ Monitoring system integration

📚 Documentation

Added comprehensive guide in docs/HEALTH_MONITORING.md:

• Endpoint specifications
• Kubernetes/Docker integration examples
• Monitoring best practices
• Troubleshooting guide
• Security considerations

🚀 Benefits

• Zero-downtime deployments
• Automated health monitoring
• Early problem detection
• Resource usage tracking
• Dependency validation

The implementation is production-ready and follows industry best practices! 🏥