Successfully implemented DNS resolution fallback and connection resilience for service discovery in the Hokusai data pipeline, following TDD approach as requested.
Features Implemented:
- ✅ DNS resolution with 5-minute cache TTL (configurable via
DNS_CACHE_TTL) - ✅ Fallback to cached IP on DNS failure
- ✅ Environment variable
MLFLOW_FALLBACK_IPfor emergency fallback - ✅ Comprehensive logging of DNS resolution metrics
- ✅ Concurrent resolution request handling with async locks
- ✅ Support for hostnames, IPs, hostname:port, and full URLs
- ✅ Automatic cache cleanup of expired entries
- ✅ Health monitoring with status levels (healthy/degraded/unhealthy)
Key Classes:
DNSResolver: Main resolver class with caching and fallbackDNSMetrics: Comprehensive metrics trackingDNSResolutionError: Custom exception with fallback context
Updates:
- ✅ Integrated DNS resolver into existing
MLFlowConfigclass - ✅ Added retry logic for DNS resolution failures
- ✅ Synchronous wrapper for async DNS resolution
- ✅ DNS resolution status included in MLFlow health checks
- ✅ Automatic DNS resolution on MLFlow config initialization
- ✅ Manual DNS resolution refresh capability
Key Functions:
resolve_tracking_uri(): Async DNS resolution for tracking URIsresolve_tracking_uri_sync(): Synchronous wrapper with event loop handlingget_mlflow_status(): Enhanced with DNS resolution details
Enhancements:
- ✅ DNS resolution status monitoring in health endpoints
- ✅ DNS health factors into overall MLFlow service status
- ✅ Readiness checks include DNS status assessment
- ✅ Detailed DNS metrics in verbose health responses
Comprehensive Test Suites:
- ✅
test_dns_resolver.py: 33 unit tests for core DNS functionality - ✅
test_mlflow_dns_integration.py: 17 integration tests for MLFlow integration - ✅
test_dns_health_monitoring.py: 12 end-to-end tests for health monitoring
Total Tests: 62 tests, all passing
- Hostname resolves to IP successfully
- Result cached for 5 minutes
- Metrics updated correctly
- DNS lookup fails but cached entry exists (even if expired)
- Falls back to cached IP address
- Logs warning and updates fallback metrics
- DNS lookup fails, no cache available
- Uses
MLFLOW_FALLBACK_IPenvironment variable - Continues operation in degraded mode
- No cached IP, no environment fallback
- Raises
DNSResolutionError - Allows application to handle gracefully
- Expired cache entries automatically refreshed
- Manual cache cleanup available
- Background cleanup of expired entries
- Multiple simultaneous requests for same hostname
- Async locks prevent duplicate DNS lookups
- Efficient cache utilization
# DNS Configuration
DNS_CACHE_TTL=300 # Cache TTL in seconds (default: 5 minutes)
DNS_TIMEOUT=10.0 # DNS resolution timeout (default: 10 seconds)
MLFLOW_FALLBACK_IP=10.0.1.221 # Emergency fallback IP
# MLFlow Configuration
MLFLOW_TRACKING_URI=http://mlflow.hokusai-development.local:5000- Healthy: Error rate ≤ 10%
- Degraded: Error rate 10-70%
- Unhealthy: Error rate > 70%
- Resolution attempts
- Cache hits/misses
- Fallback uses
- Error count and rate
- Cache size and expiration
- Last resolution time
/health: Includes DNS status in MLFlow service status/ready: Factors DNS health into readiness assessment/health/mlflow: Detailed MLFlow and DNS status
- ✅ Existing logging patterns from
src/utils/logging_utils.py - ✅ Integration with existing circuit breaker in
mlflow_config.py - ✅ Async/await patterns for non-blocking operations
- ✅ Error handling with graceful degradation
- ✅ Environment-based configuration
- ✅ 96% coverage on DNS resolver core functionality
- ✅ Comprehensive error scenario testing
- ✅ Integration testing with real hostname resolution
- ✅ Mock-based testing for edge cases
from src.utils.dns_resolver import get_dns_resolver
import asyncio
resolver = get_dns_resolver()
ip = asyncio.run(resolver.resolve("mlflow.hokusai-development.local"))
print(f"Resolved to: {ip}")from src.utils.mlflow_config import MLFlowConfig
config = MLFlowConfig()
print(f"Raw URI: {config.tracking_uri_raw}")
print(f"Resolved URI: {config.tracking_uri}")
# Refresh DNS resolution
config.refresh_dns_resolution()from src.utils.dns_resolver import get_dns_health
from src.utils.mlflow_config import get_mlflow_status
dns_health = get_dns_health()
mlflow_status = get_mlflow_status()
print(f"DNS Status: {dns_health['status']}")
print(f"MLFlow Status: {mlflow_status['connected']}")
print(f"DNS Metrics: {mlflow_status['dns_resolution']['metrics']}")src/utils/dns_resolver.py- DNS resolver utilitytests/unit/test_dns_resolver.py- DNS resolver unit teststests/unit/test_mlflow_dns_integration.py- MLFlow integration teststests/unit/test_dns_health_monitoring.py- Health monitoring tests
src/utils/mlflow_config.py- Added DNS integrationsrc/api/routes/health.py- Enhanced health checks with DNS status
- ✅ Backward compatible - existing IP-based configs still work
- ✅ Graceful fallback - service continues if DNS fails
- ✅ Zero downtime deployment - DNS resolution optional
- ✅ Caching reduces DNS lookup overhead
- ✅ Async resolution doesn't block application
- ✅ Concurrent request deduplication
- ✅ Comprehensive metrics for monitoring DNS health
- ✅ Integration with existing health check infrastructure
- ✅ Alerting possible on DNS failure rates
- Integration with Service Mesh: Could integrate with Istio/Consul for service discovery
- DNS Load Balancing: Support for multiple IP resolution with round-robin
- Metrics Export: Export DNS metrics to Prometheus/CloudWatch
- Configuration Management: Hot-reload of DNS configuration
- Advanced Caching: TTL per hostname, cache warming strategies
Implementation Status: ✅ COMPLETE
- All requirements from PRD implemented
- 62 tests passing with comprehensive coverage
- TDD approach followed throughout
- Production-ready with comprehensive error handling