Here's what we've been up to over the last week!

What's New

• Mattermost Notification integration: We now support Mattermost as a destination for Incident Notifications
• Back-end Pipelines table node filters: To reduce clutter in the pipelines view, we can now filter specific types of nodes (temp tables, views, etc) - these filters can only be enabled by the Monte Carlo team so please reach out if you're interested\\
• Auto hyperlink Tag URLs: Urls added as tags will now convert to hyperlinks to make it easy to link to external web resources and email addresses Improvements and Fixes
• Redshift crawler bugs: Resolved 2 bugs with our Redshift crawlers where query logs were being misattributed between a staging <> production database, and a # symbol syntax was causing parsing errors
• Improved API docs: We revamped the Monte Carlo API docs to make it much easier to get started with example queries, details on GraphQL introspection, and more\\
• Numerics Field Health monitors enabled by default: Moving forward all field health monitors for numerics like p-values, standard deviation, etc. will be enabled by default What's Next
• Service Level Indicators: We've started to implement custom SLIs to generate Incidents when specific Freshness, Volume and Field Health monitors thresholds are breached - please reach out to our success team if you're interested in adding specific thresholds to your data monitoring\\
• Monitors flow revamp: We're making good progress on releasing a new flow for creating, managing and updating Field Health, Dimension Tracking, SQL Rule and JSON Schema Monitors - we'll release the revamped SQL Rule creator soon

The team shipped a ton of new features and fixes this week. We're excited to hear what you think!

What's New

• Edit Notifications: You can now easily edit Notifications simply by clicking on the pencil icon to the right of the notification
• \\_Search-based dataset and table Notification filters:\\_Easily filter your Incident feed and Notifications using a new search-based dataset and table selector (Search-based Incident filter coming soon!
• Custom freshness monitors: You can now setup custom freshness monitors via our API to check for table writes as often as every 10 minutes (please reach out to our success team for more information!)

Improvements and fixes*

• Added personal token support to Tableau integration: You can now use personal tokens to auth Monte Carlo to connect to your Tableau instance - we also resolved a rendering bug
• Add Looker dashboard links to Reports Affected module: When viewing a table in the Catalog, links to downstream Looker dashboards in the Reports Affected module will now link to the corresponding Catalog view for the dashboard
• Removed 2-step login page: To simplify the log-in experience, we removed the 2 step process which improves compatibility with password managers

What next!

• \\_Service Level Indicators:\\_We've started to implement custom SLIs to generate Incidents when specific Freshness, Volume and Field Health monitors thresholds are breached - please reach out to our success team if you're interested in adding specific thresholds to your data monitorin
• Monitors flow revamp: Our engineering team is incrementally releasing a new flow for creating, managing and updating Field Health, Dimension Tracking, SQL Rule and JSON Schema Monitors - Keep an eye out for the new Monitors summary table coming soon

Here's what we've been up to over the last week at Monte Carlo.

What's New

• Optional row-creation time for Field Health, JSON Schema and Dimension Tracking Monitors: For tables that do not have time series data and are fully re-created on each write, you can now select all records to ensure all records are included in the query\
  Improvements and fixes*
• Increased SSO log-in expiration from 1 hour to 1 day: Customers using SSO will no longer be logged out after 1 hour\
  What's next!
• Service Level Indicators: We're working on the ability to allow customers to define specific thresholds for our Freshness, Volume and Field Health monitors - these SLIs will allow customers to define SLOs and ultimately commit to data SLAs\\
• Monitors flow revamp: Our engineering team is incrementally releasing a new flow for creating, managing and updating Field Health, Dimension Tracking, SQL Rule and JSON Schema Monitors - Keep an eye out for the new Monitors summary table coming soon

Here's what we've been up to over the last week at Monte Carlo.

What's New

• API support for synchronous Monitor Triggers: You can now trigger Monte Carlo Monitors to run via our API - for more information, please reach out to our Success team via email or Slack
• Added creator email address to Notifications: You'll now see the Notification creator's email address listed to provide context on who owns the Notification (Note: Only Notifications created from this point forward will specify creator) Improvements and Fixes
• Improved Catalog Search: The catalog search results now prioritize exact match table names higher resulting in more relevant search results\\
• Improved table pagination UX: Redesigned the pagination arrows for all tables across the Monte Carlo app to improve visibility and usability
• SQL Rule Notification Multi-select bug: Resolved a bug causing the multi-select SQL Rule selector in the Notification set up page to render incorrectly What's next!
• Search-based Dataset filters: Instead of selecting each dataset or table from a list, this refactor will allow you to search and select datasets and tables when creating filters on the Incidents tab and when setting up Notifications
• Service Level Indicators for your data: We're working on the ability to specify thresholds for our Freshness, Volume and Field Health monitors - these SLIs can roll up to SLOs and ultimately help your team commit to data SLAs\\
• Monitors flow revamp: Our engineering team is incrementally releasing a new flow for creating, managing and updating Field Health, Dimension Tracking, SQL Rule and JSON Schema Monitors - keep an eye out for the new Monitors summary table coming soon

Here's what we've been up to over the last week at Monte Carlo.

What's New

• Expanded support for Looker objects in the Pipelines graph: We now show Looker Views, Explores, Looks and Dashboards in lineage\\
• SQL Rule Notifications Routing: You can now route Slack, email, webhook and PagerDuty Notifications by SQL Rule Improvements
• Improved Pipelines graph performance: We now support more complex Pipeline graphs increasing the number of supported objects (tables, views, etc) and paths by 10x
• Smarter event grouping in Incidents: Now when an Incident status is updated to anything besides Investigating, new tables will not be added to the incident to minimize the risk of the new anomalous table silently grouping into a Fixed issue What's next!
• Service Level Indicators: We're working on the ability to allow customers to define specific thresholds for our Freshness, Volume and Field Health monitors - these SLIs will allow customers to define SLOs and ultimately commit to data SLAs\\
• Monitors flow revamp: Our engineering team is incrementally releasing a new flow for creating, managing and updating Field Health, Dimension Tracking, SQL Rule and JSON Schema Monitors - Keep an eye out for the new Monitors summary table coming soon