Monitoring - #6
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Resolve model version lookup by train run ID across MLflow source URI formats, preserve both head and tail of training subprocess errors for actionable debugging, and add monitoring services/volumes to the compose stack. Made-with: Cursor
… the trained model
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Summary
This PR introduces and refines the monitoring stack from
monitoringintomainto improve observability, alerting, and operational debugging across CAFA-5 services and pipelines.Changes
monitoring/prometheus.ymlmonitoring/alerts.ymlmonitoring/grafana/provisioning/datasources/prometheus.ymlmonitoring/grafana/provisioning/dashboards/providers.ymlmonitoring/grafana/dashboards/cafa5-domain-pipelines.jsonmonitoring/grafana/dashboards/cafa5-service-health.jsonmonitoring/README.md(setup, usage, troubleshooting)Why
Validation
Reviewer Notes
Risk
Low to moderate. Changes are isolated to monitoring configuration, dashboards, and docs, but misconfigured thresholds or queries could produce noisy alerts or missing panels.
Rollback
Revert this PR to restore previous monitoring configuration and dashboards.