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Logging and Monitoring Infrastructure - Review and Fixes

PR #267 - Review Summary

Issues Found and Fixed

1. Missing Middleware Registration ✅ FIXED

Issue: The correlation and logging middleware were not registered in the main server setup. Fix: Updated src/index.ts to register:

  • registerCorrelationMiddleware() - First in the middleware chain
  • registerRequestLoggingMiddleware() - After correlation middleware
  • registerHealthCheckRoutes() - For health check endpoints
  • registerMetricsEndpoint() - For Prometheus metrics

2. Duplicate Health Endpoint ✅ FIXED

Issue: The server already had a simple /health endpoint that returned { status: "ok" }. Fix: Removed the old endpoint and replaced it with the comprehensive health check service that provides:

  • /health - Full system health status
  • /ready - Readiness probe for Kubernetes
  • /live - Liveness probe for Kubernetes

3. Memory Leak in TraceManager ✅ FIXED

Issue: The traceContextMap could grow indefinitely, causing memory leaks in long-running processes. Fix: Added automatic cleanup mechanism:

  • Cleanup interval runs every 60 seconds
  • Removes trace contexts older than 5 minutes
  • Added stopCleanup() method for graceful shutdown

4. Async Import at Module Level ✅ FIXED

Issue: The health check service tried to import Redis asynchronously at the module level, which is not allowed in ES modules. Fix: Implemented lazy loading:

  • Created getRedis() async function
  • Redis is loaded on first health check call
  • Gracefully handles missing Redis configuration

5. Request Body Logging Timing ✅ FIXED

Issue: Request body is not available in the onRequest hook - it's only available after parsing. Fix: Simplified logging approach:

  • Removed request body logging from onRequest hook
  • Kept response body logging capability
  • Added proper timing with startTime tracking

6. Missing Config Import ✅ FIXED

Issue: The metrics service wasn't importing the config module. Fix: Added import { config } from '../config/index.js' to metrics service.

Code Quality Improvements

  1. Error Handling: All middleware includes try-catch blocks with proper logging
  2. Type Safety: Full TypeScript interfaces for all data structures
  3. Configuration: All thresholds and timeouts are configurable via environment variables
  4. Memory Management: Automatic cleanup of trace contexts to prevent memory leaks
  5. Graceful Degradation: Health checks handle missing dependencies (Redis) gracefully

Environment Variables Configured

All required environment variables are already defined in src/config/index.ts:

LOG_LEVEL: 'info' (default)
LOG_FILE: optional
LOG_MAX_FILE_SIZE: 100MB (default)
LOG_MAX_FILES: 10 (default)
LOG_RETENTION_DAYS: 30 (default)
LOG_REQUEST_BODY: false (default)
LOG_RESPONSE_BODY: false (default)
LOG_SENSITIVE_DATA: false (default)
REQUEST_SLOW_THRESHOLD_MS: 1000 (default)
HEALTH_CHECK_MEMORY_THRESHOLD: 90 (default)
HEALTH_CHECK_DISK_THRESHOLD: 80 (default)
HEALTH_CHECK_TIMEOUT_MS: 5000 (default)

Commits in PR #267

  1. feat: build logging and monitoring infrastructure (5798812)

    • Initial implementation of all components

  2. fix: integrate logging and monitoring middleware into server (8024a42)

    • Register middleware in correct order
    • Replace duplicate health endpoint

  3. fix: improve logging middleware and add memory leak prevention (19dcbdf)

    • Add cleanup interval to TraceManager
    • Fix request timing calculation
    • Improve error handling

  4. fix: resolve async import issue in health check service (b3ee8cb)

    • Implement lazy loading for Redis
    • Fix module-level async import issue

Testing Recommendations

  1. Unit Tests: Test each component in isolation

    • Logger JSON output format
    • Correlation ID generation and propagation
    • Metrics recording accuracy
    • Health check status calculation

  2. Integration Tests: Test end-to-end flows

    • Request flows through all middleware
    • Correlation ID present in all logs
    • Metrics recorded correctly
    • Health endpoints return proper status codes

  3. Load Tests: Verify performance under load

    • Memory usage with cleanup interval
    • Metrics collection performance
    • Health check response times

Deployment Checklist

  • Verify all environment variables are set in deployment
  • Ensure log file directory has proper permissions
  • Configure log rotation policy based on disk space
  • Set up log aggregation (ELK/Datadog) if needed
  • Configure Prometheus scraping for /metrics endpoint
  • Set up Kubernetes probes using /ready and /live endpoints
  • Monitor memory usage with cleanup interval enabled
  • Test health checks in staging environment

Next Steps

  1. Run full test suite to verify no regressions
  2. Deploy to staging environment
  3. Monitor logs and metrics in production
  4. Implement additional business metrics as needed
  5. Set up alerting based on health check status