ml-nightly-pipeline
🕐
Daily at 02:00
Run nightly ML pipeline updates
ml_critical
High Priority
ml-incremental-update
🕐
Hourly at :00
Incremental ML model updates
ml_default
ml-rebuild-search-index
🕐
Daily at 01:00
Rebuild search index with latest data
ml_default
ml-trending-recommendations
🕐
Every 6 hours
Generate trending artwork recommendations
ml_recommendations
ml-update-recommendation-cache
🕐
Daily at 03:00
ml_recommendations
ml-cleanup-stale-data
🕐
Daily at 04:00, on Sunday
ml_archival
ml-business-analytics-nightly
🕐
Daily at 02:30
ml_default
ml-archival-nightly-aggregation
🕐
Daily at 03:30
ml_archival
ml-archival-weekly-rebuild
🕐
Daily at 05:00, on Sunday
ml_archival
ml-archival-monthly-cleanup
🕐
Daily at 06:00, on day 1
ml_archival
ml-cluster-full-rebuild
🕐
Daily at 02:00, on Sunday
Full rebuild of asset clustering (K-means)
ml_pipeline
ml-cluster-nightly-bootstrap
🕐
Daily at 03:00
Bootstrap new assets into existing clusters
ml_pipeline
ml-quarterly-rebuild
🕐
Daily at 01:00, on day 1
Full ML pipeline rebuild (embeddings, correlations, graph)
ml_critical
High Priority
ml-quarterly-cleanup
🕐
Daily at 04:00, on day 1
Deep cleanup and optimization of ML data
ml_default