On the monitor details page for SQL rules, the SQL Run Result table now links each run result to the corresponding rule breach's Incident IQ page if there is a breach for the run.

Added a new search bar where users can search monitors by table / field names, rule names, creator, and namespace.

We released a feature that identifies high correlation between field health anomalies and field distributions to help speed up root cause analysis. For field health metrics including % null, % negatives, and % zero, Monte Carlo will automatically run correlation analysis across field values in the incident table to surface if any field values are highly correlated with the caught anomalies.

Published a new version of the CLI (v0.25.3) where the import dbt-manifest command is updated to upload manifest files to S3 with asynchronous processing. This will fix timeout issues during dbt manifest imports.

Monte Carlo now can connect to any Databricks metastore (central, glue, or hive) and the upcoming Unity Catalog for both delta and non-delta tables to provide our standard freshness and volume detectors for any delta tables.

To learn more about this feature visit the docs here:

• Databricks central metastore + Delta: https://docs.getmontecarlo.com/docs/databricks-metastore
• Glue catalog or an external Hive metastore + Delta: https://docs.getmontecarlo.com/docs/delta-lake

Note: We do not yet support lineage Spark-based environments - we are working with the Databricks team to ingest lineage via their Unity Catalog when it ships to GA later this summer.

Receive notifications in Slack, email, etc. when 1 or more monitors are considered misconfigured. Misconfigured monitors are those are failing to run due to permissions issues, timeouts, or are constantly breaching.

Instead of re-creating the same SQL Rule for multiple tables, you can now create a single SQL Rule and iterate through multiple tables, fields, where clauses, etc. using variables. To get started, simply add a variable in the "Advanced Options" when defining your SQL query. You can add multiple variables and define multiple values for each variable. Monte Carlo will iterate through all combinations and test for breaches accordingly.

To improve the timeliness of anomaly detections, we reduced the detection delay from 3 hours to under 1.5 hours. This improvement to freshness, unchanged size and volume monitors will result in faster notifications when data issues occur.

We now support Looker within our field level Lineage product. With this feature, you can trace exactly how a field is used by Looker Views, Explores and Dashboards.

Email notifications for SQL rule incidents including SLIs will now contain the rule name in the subject line