Tag, You're It: Using MongoDB Labels To Drive DataDog Business Logic

Summary

MongoDB Atlas’s integration with DataDog now sends custom cluster-level labels as tags on DataDog metrics objects, allowing users to organize and categorize monitoring data in meaningful ways. Users define key-value labels in MongoDB at the cluster level using the Data API or configuration endpoints, and these labels automatically appear as tags in DataDog. These tags can filter metrics in the Metrics Explorer, group data for dashboards, and set alert priorities based on attributes such as environment, application, or region. For instance, tag-based monitors can trigger a P2 alert for production clusters exceeding query targeting thresholds while assigning lower priority to non-production clusters. This enhancement, available on Atlas M10 cluster tiers and higher, leverages existing MongoDB labeling infrastructure to improve observability and drive business-specific alerting and dashboarding logic.

Takeaways

1. 1

   Custom labels defined in MongoDB Atlas, Cloud Manager, or Ops Manager at the cluster level are automatically sent to DataDog as metric tags, enabling metric organization and categorization.

2. 2

   Tags can be used to filter metrics in DataDog Metrics Explorer, group data in dashboards, and set conditional alert priorities based on attributes like environment or application.

3. 3

   The integration is available on Atlas M10 cluster tiers and higher and allows organizations to tailor monitoring logic to their business needs without additional configuration.

FAQ