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>
12 lines
216 B
INI
12 lines
216 B
INI
[v3_req]
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subjectAltName = @alt_names
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[alt_names]
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DNS.1 = foxhunt-services
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DNS.2 = api_gateway
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DNS.3 = backtesting_service
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DNS.4 = ml_training_service
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DNS.5 = trading_agent_service
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DNS.6 = localhost
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IP.1 = 127.0.0.1
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