Minor release: support for dbt Cloud on other regions

✨ New & Improved

dbt Cloud: Sifflet now supports dbt Cloud hosted on different regions

App version: v122

Minor release: Snowflake Usage improvement and bugfixes

✨ New & Improved

Snowflake Usage improvement: Sifflet now computes the data assets usage more reliably

App version: v121

Minor release: a bugfix on Slack alerting

🛠 Fixes

• Fixed a bug on the Slack connection that would prevent from retrieving all channels

App version: v120

✨ New & Improved

ML Lookback period for data querying optimization: We have added more flexibility to how users can optimize the data querying for ML models. For reference, when activated, the ML models build the training dataset incrementally based on recent data points instead of scanning the whole history each time the model retrains. With this release, users can customize the width of the lookback period in time units (weeks, days, hours).

🛠 Fixes

• Fixed a bug that would sometimes prevent Sifflet from retrieving the dbt Cloud artifacts
• Fixed a bug where some dbt tests were not appropriately deleted after the dbt source deletion

App version: v119

Minor release: some bugfixes on monitors

✨ New & Improved

Support for Azure Active Directory: You can rely now on Azure AD a new supported IdP for SSO on Sifflet.

🛠 Fixes

• Fixed a bug on the interlinked metrics and schema change monitoring templates, preventing in some occasions from triggering notifications on Slack.

App version: v118

Minor release: some bugfixes

🛠 Fixes

• Fixed a bug when ingesting some BigQuery tables
• Fixed various display issues

App version: v116

Release: New User Interface

✨ New & Improved

• New User Interface: The new user interface (UI) ensures a cleaner look and feel for technical and non-technical users. Among the key changes are a new theme, updated iconography, and a more straightforward wording for monitors (formally called data quality rules).

🛠 Fixes

• Fixed a bug creating latencies when loading incidents on the incident page

App version: v115

Minor release: monitors now support epoch fields

✨ New & Improved

• Monitoring: supporting monitoring based on EPOCH fields for anything time-related monitoring

App version: v114

Release: Updated Dashboard and new custom ML-based monitor

✨ New & Improved

• Dashboards: Users can now have better visibility on the monitoring coverage and conduct analysis on their incidents and the time to resolutions.
• Metric observability: ML-based custom rules: Users can now observe and monitor business metrics with custom SQL queries and leverage Siffle ML capabilities to detect anomalies and adjust to future behaviors automatically.

🛠 Fixes

• Fixed a bug where some rules could not run on Snowflake tables

App version: v113.1

✨ New & Improved

• Domains: This feature will allow organizations to enable reliable data democratization by creating and managing business domains on the platform. A business domain represents a group of data assets belonging to a business area, such as finance, sales, or operations. It allows the users within these business domains to have the right visibility on their data assets and efficiently collaborate with other team members. You can find more information here.
• New monitoring capability, introducing conditional rules: Business users can now monitor their data based on their specific business context without having to write complex SQL queries. Sifflet currently supports BigQuery data assets; other data sources will be progressively rolled out.
• Monitoring Rule Distribution Change improvement. Users can now choose between the static or dynamic type of monitoring (you can find more information here)
  • Dynamic: the rule fails if the statistical test finds any anomaly based on the previous trends, there is no need to define any threshold.
  • Static: the rule fails if one category's distribution changes more than a given threshold.
• Snowflake integration improvement, supporting Snowflake streams: Users can view streams on the Sifflet catalog.
• BigQuery integration improvement, supporting nested fields: Users can now view their nested fields on the Sifflet catalog and implement monitoring rules on them.
• BigQuery integration improvement, supporting Billing Project id: Users can now specify the Billing Project Id (optional) of their choice for BigQuery connections.

🛠 Fixes

• Fixed a bug where the scope of Incidents would sometimes not display properly.

App version: v112