Monitoring MongoDB Atlas with Datadog

PublishedApril 17, 2019

The ability to monitor infrastructure and application performance in real time is essential to every software organization. Now, with the MongoDB Atlas and Datadog integration, you can seamlessly track Atlas performance monitoring data in Datadog. You can use Datadog to correlate performance metrics and events across your entire stack, create custom graphs and dashboards, as well as setup advanced alerting to help identify issues.

During this session Rezwan Khan, Product Manager at MongoDB and Dhruv Sahni, Product Manager at Datadog, walk through:

  • How to pass performance data from Atlas into Datadog
  • How to use Datadog’s monitoring capabilities, including advanced features such as anomaly detection
  • How to interpret MongoDB Atlas performance metrics

About the speakers

Rezwan Khan

Product Manager, MongoDB

Rez is a Product Manager at MongoDB looking after diagnostics and optimization capabilities of Atlas, MongoDB’s database-as-a-service offering.

Dhruv Sahni

Product Manager, Datadog

Dhruv is a Product Manager at Datadog, focusing on agent and integrations.

This webinar is presented in partnership with Datadog. Learn more about monitoring MongoDB Atlas with Datadog here.

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