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Project Sentinel Unifies Airflow, Glue, dbt and Tableau Health into One Daily AI Digest

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A data engineering team built Project Sentinel to solve the problem of pipeline failures scattered across multiple tools — Airflow, AWS Glue, dbt, and Tableau — that required manual checking each morning. The system works by having collectors write health metadata from each tool as JSON files to Amazon S3, which is then served through a lightweight API. An AI agent reads from that API and compiles a single daily digest delivered via Slack, replacing the need to check four separate dashboards. Each collector captures not just pass-or-fail status but also error messages, SLA breaches, duration anomalies, and data volume shifts that would otherwise go undetected. The architecture prioritises decoupling and simplicity, ensuring that monitoring infrastructure can never interfere with the pipelines it observes.

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Project Sentinel Unifies Airflow, Glue, dbt and Tableau Health into One Daily AI Digest · ShortSingh