jgrusewski 57383a2231 🔒 Waves 157-158: ML Training Service TLS + Health Check Fix ...

Wave 157: Certificate Regeneration
- Regenerated server certificate with 6 DNS SANs (api_gateway, ml_training_service,
  backtesting_service, trading_agent_service, foxhunt-services, localhost)
- Fixed hostname verification failures preventing TLS connectivity
- Created server-extensions.cnf with complete Subject Alternative Names
- Direct TLS connectivity validated: 552µs latency

Wave 158: Docker Health Check Dependencies
- Added ml_training_service health dependency to API Gateway
- Fixed service startup timing race condition (36ms gap eliminated)
- API Gateway now waits for ML Training Service to be fully initialized
- Connection established successfully: 9ms

Implementation:
- TLS channel setup with mTLS authentication (API Gateway → ML Training)
- Certificate loading via environment variables (docker-compose.yml)
- E2E test infrastructure for TLS validation
- Graceful degradation if ML Training Service unavailable

Validation:
- Direct TLS test: PASS (552µs)
- API Gateway proxy: 9ms connection time
- End-to-end TLI tune command: SUCCESS (Job ID: 61dda8df-72ab-46c1-98f1-4cfcc89f8fcf)
- All 4 microservices healthy: API Gateway, Trading, Backtesting, ML Training

Files Modified: 12 files
- Core: docker-compose.yml, API Gateway TLS implementation, E2E tests
- Certificates: server-extensions.cnf, server-cert.pem (regenerated), ca-cert.srl
- Documentation: WAVES_157-158_COMPLETE.md, WAVE_157_TLS_FIX.md, WAVE_157_CERTIFICATE_FIX_REPORT.md

Production Status: ✅ READY FOR DEPLOYMENT
- Zero critical blockers
- mTLS security operational
- Full end-to-end validation complete

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

2025-10-14 00:45:33 +02:00

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