Custom monitors Volume SLIs and Freshness SLIs are renamed to Volume SLOs and Freshness SLOs, respectively, with the goal to more accurately reflect the fact that those custom monitors define data quality objectives for customers to meet.
We've redesigned catalog pages to make them easier to navigate and find what you're looking for.
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Individual Pages
- Left hand navigation
- Removed unnecessary buttons on lineage
- Removed unnecessary date picker on Query Logs
- Tags have been moved to General Information Tab
Adjust your field health metrics to adjust the sensitivity resulting in a decrease or increase in generated Incidents.
Medium Sensitivity is the default value. High sensitivity will result in more Incidents, while low sensitivity will result in fewer Incidents.
As a follow-on to the recent Databricks announcement, we released Volume SLO (total bytes) support to drive further parity across all data platforms.
Following the recent release of value-based threshold support for SQL Rules, you can now add a sampling query to the monitor to pull a wider set of records at the time of the rule execution to aid in incident investigation.
Monte Carlo now automatically imports Snowflake tags as Monte Carlo tags. These imported tags are regularly updated to match tags in Snowflake, and will appear in the Tags module on the Catalog view for a table. Imported tags can be used for Notification routing.
NOTE: Self-hosted collector customers will need to update their collector version to access this feature.
In addition to defining a Volume SLI by tracking total records in the table, you can now define a Volume SLI by the growth rate of the records added to the table over a given time period.
The Monte Carlo Slack app was reviewed and approved to be added to Slack's directory.
To improve Monte Carlo monitors, we rely heavily on customer feedback to tell us which incidents are most helpful. With this improvement, you can now document feedback and update model thresholds directly from Incident IQ.
Use search operators to refine your search query by specifying table fields, description and tags. Additionally, you can include or exclude specific terms use the + and - prefix.