4.11.2022 Changelog

What's new

• Segmented field health: Users can now set up field health monitor segmented by a specified field so anomalies can be detected for each segment.  
• SQL rules and SLIs misconfiguration warnings: in insight report, snowflake data share, and the monitors page in UI, we now show warnings if any SQL rules or SLIs are breaching 80% of the times they run, and if there is not enough data to detect anomalies for SQL rules with ML thresholds.
• Looker lineage liquid templates: added capability to parse and interpret liquid templates in Looker.
• Incident Status Tracker: released a visual tracker for incident status updates on incident feed page. Note that the tracker can be filtered by domains but not by other filters on the incident feed page.
• Freshness detector sensitivity tuning: For the automated freshness and unchanged size detectors, customers can now set a minimum number of hours that must pass since last update before an alert can be issued. Users can access t his feature by going to the freshness or size module in Catalog page.

Improvements and fixes

• Sampling/reproducing feature via Slack: Users can now go into sampling queries and reproducing queries for dimension tracking and field health incidents directly from Slack.
• Rules breach incident titles in email: rule breach alerts via email now clearly specify in their titles whether the rule breaches are freshness SLIs, volume SLIs, or SQL rules. 
• CLI improvement: Monte Carlo's CLI now supports Python 3.7, 3.8, 3.9, 3.10, and the current 3.11 alpha. In addition, Users can now generate help text via montecarlo help to retrieve documentation on all commands, subcommands and options.
• Incident dashboard improvement:  In incident dashboard, users can now click on the summary stats or the chart bars to drill in to the data behind the dashboard.

What's next

• Domains-based Access Controls: Define user groups to assign read only or write access per domain
• Airflow integration: View airflow task logs from within Monte Carlo to support investigations and orchestration context
• Field lineage integration with Tableau: See field level dependencies with Tableau dashboards and worksheets.