Got a minute to compare a data‑driven workflow model I built with your gut‑check on bottlenecks? I think we can squeeze a few extra minutes out of our projects.

The model’s a 3‑layer pipeline: first layer pulls raw logs every 30 seconds, second layer cleans and aggregates into time‑series, third layer runs a predictive algorithm that flags anomalies in real time. Each layer outputs a hash to a central store and a metrics dashboard. It runs in under 2 seconds per cycle on a single core, so the bottleneck is the log ingestion step—currently a slow SQL query. Replace it with a stream ingest and we shave 4 seconds off the cycle time.