Distributed logs across systems slow root cause analysis

When pipeline components span multiple systems (AWS Lambda, S3, dbt, Docker containers), logs are scattered across independent systems requiring manual tailing of half a dozen or more log sources to identify which component failed.

Ship all logs and metrics to a single centralized location for the entire end-to-end pipeline. Use a unique identifier (e.g., UUID) to tag each run and trace it across all architecture components. Work with upstream producers and downstream consumers to integrate this tagging in their components for unified dashboard visibility.