SourceFresh Guardrails for dbt

Suggested product

SourceFresh Guardrails for dbt

A lightweight pipeline guardrail service that monitors source ingestion freshness and schema changes before transforms run, then auto-correlates failures to likely upstream tables with minimal setup. It integrates with dbt artifacts to build practical lineage, generates actionable alerts (not just logs), and provides an incident timeline so on-call can identify the first bad edge in minutes.

Target customer

Data engineering leads and analytics engineering teams (dbt + warehouse users) at revenue-sensitive companies where broken dashboards trigger on-call incidents (e.g., e-commerce, SaaS, marketplaces).

Problem-solution fit

Teams are getting paged after business metrics are already wrong because they lack upstream freshness monitors and usable lineage that points to the first failing dependency. By adding source-level freshness/SLO checks and mapping dbt models to their upstream sources, the product prevents garbage-in propagation and cuts mean time to detection and root cause from hours to minutes.

Keywords

• data freshness
• pipeline observability
• dbt
• lineage
• incident response