Live Demo: From Bottlenecks to Flow: Modern ETL Pipelines on AWS, Azure and Google Cloud with Silk

Most ETL pipelines don’t fail. 

They just get slower, more expensive, and harder to manage over time. 

At first, it’s small: 

→ A longer batch window 

→ A little more compute to keep things stable 

→ Another round of tuning 

Join Silk Solution Architects Dave Larson and Esteban Cordero for a live demo on what’s really limiting ETL performance across AWS, Azure, and Google Cloud — and what changes when those constraints are removed. 

We’ll break down: 

→ Why pipeline latency increases over time (even when nothing “breaks”) 

→ Where overprovisioning quietly drives cost 

→ How to move from batch pipelines to continuous data flow — without re-architecting everything See a working example of how to eliminate bottlenecks and improve reliability, cost, and time-to-insight — before today’s challenges become tomorrow’s blockers.