I find Monte Carlo extremely useful for alerting and data exploration. The ability to check the query that generates a BigQuery table helps me understand the data definition better and aids in debugging. I appreciate how it integrates with our GitHub repo, and we use the Monte Carlo CLI in our CI/CD pipeline to maintain alerts. The custom SQL alerting is particularly valuable since we have a lot of customized metrics to check. The setup process was straightforward, especially with the support I received from my teammate in integrating it with GitHub actions.

I really like how straightforward it is to use. I also like the table where it includes everything, from the old and new primary locations which has really been helpful plus the direct link to the tour, also that we get reports on time.

Monte Carlo gives us confidence in the reliability of our data by making incidents easier to detect, investigate, and understand. I especially like how it centralizes freshness, quality, lineage, and alerting in one place, so teams can quickly see what broke, what was impacted, and where to focus. It helps reduce the time spent manually chasing data issues and makes data reliability feel much more operational and measurable.