1.31.2022 Changelog
over 3 years ago
What's new
- DBT metadata in Catalog: the catalog page now imports dbt information including models, tags, descriptions, so users can manage all metadata centrally in Monte Carlo. See dbt integration setup instructions here.
- Rule notes: customers are now able to create notes for each SQL rule monitor and receive such notes in rule breach notifications, so teams can refer to such notes for context.
- Heavy Queries insight report: released a new insight report that shows the heaviest queries from each warehouse/user every week, so customers can preemptively stop data issues and reduce warehouse load.
- Network recommender for onboarding: added CLI capability to help with onboarding by analyzing resource and collector configurations and making step-by-step recommendations on how to connect. See docs here.
Improvements and fixes
- Deteriorating Queries insight: added visualized trends in query execution time as html file in insight report "Deteriorating Queries".
- Monitor as Code bug fix: shipped a bug fix so that when new configuration is applied via monitor as code any monitors previously defined via code are no longer displayed as "UPDATED" as long as no attributes are changed for those monitors.
- Key assets in Slack: key assets in slack notifications will have a star emoji next to them so they can more easily spotted to help users prioritize incidents.
- Incident IQ CTA: redesigned the Incident IQ button on incident card to make that CTA more obvious and clear to users.
What's next
- Impact radius: help customers assess the impact of each incident by aggregating metrics on relevant users, queries, and downstream dashboards.
- Root Cause Analysis module: summary of incident investigation pointers in Incident IQ to help users check and eliminate possible root causes for given data incidents.
- Circuit breakers: trigger Monte Carlo data quality checks and validate incidents with code to stop problematic jobs before they pass data downstream.