- trade_ml.rs: Replace 3 mock data fallbacks (submit, predictions, performance) with proper error propagation. Commands now fail honestly when the API Gateway is unreachable instead of silently returning fake data. Mark 3 integration tests as #[ignore]. - monitoring_service: Add tonic-health with set_serving for MonitoringServiceServer. Enables grpc_health_probe readiness checks. - ml_training_service: Add tonic-health with set_serving for MlTrainingServiceServer. Wired into both TLS and non-TLS paths. - data_acquisition_service: Add tonic-health with set_serving for DataAcquisitionServiceServer. - ml/cuda_streams: Fix pre-existing unused variable clippy warning. All 8 services now have standard gRPC health checking enabled. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
data_acquisition_service
Automated Databento data downloading, validation, and S3 upload for HFT trading.
Key Types
DataAcquisitionServiceImpl-- main gRPC serviceDownloader-- Databento API clientUploader-- S3 artifact uploadValidator-- data quality checks
Configuration
DATABENTO_API_KEY-- Databento API credentialsS3_BUCKET-- target storage bucket