Metadata-only reliability for SQL and dbt
Catch silent dbt failures before dashboards do.
Relium is a reliability engine for the quiet data failures that pass orchestration checks but still break business trust.
Field notes
A small journal on SQL reliability, metadata, and pre-dashboard data quality.
Instead of forcing the whole story onto one page, the Relium site is organized like a product blog. Read the motivation, the product approach, the privacy model, and a sample incident report separately.
The job passed. The dashboard is still wrong.
Why analytics teams need monitoring for silent failures, not only failed jobs.
Metadata, lineage, and SQL structure.
How Relium turns aggregate signals into RCA reports and Slack-ready incidents.
A raw_orders incident report.
A compact example of anomaly evidence, hypothesis, blast radius, and action.
Designed without raw customer records.
The metadata-first architecture behind Relium's incident evidence.
Looking for early design partners.
Relium is in early product development for data teams, analytics engineers, and technical investors interested in SQL/dbt reliability.