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MongoDB Atlas

Monitor Your Clusters

On this page

  • Slow Queries
  • Schema Design
  • Alerts
  • Deployment Metrics
  • Third-Party Integrations
  • MongoDB Logs

Atlas provides built-in tools, alerts, charts, integrations, and logs to help you monitor your clusters. Atlas provides the following ways to monitor your clusters and improve performance.

To optimize your query performance, review the best practices for query performance. You can also analyze slow queries and troubleshoot slow operations executed on your clusters.

Use the following built-in tools:

To optimize your schema design, review our frequently used schema design patterns. You can also improve your schema. Improve your schema based on recommendations from the Performance Advisor and the Atlas UI.

To trigger alerts based on alert conditions and to help ensure cluster performance, configure alerts and resolve them promptly. You can configure alerts based on specific conditions for your databases, users, accounts, and more. When you resolve alerts, you should fix the immediate problem, implement a long-term solution, and monitor your progress.

Before you get started with alerts, review the Alert Basics.

To monitor your cluster performance, view cluster metrics. View historical throughput, performance, and utilization metrics for your databases. To learn more, review the available metrics.

To receive Atlas alerts in various external monitoring services, integrate with third-party monitoring services.

To view log messages and system event audit messages, view and download your MongoDB logs.


You can configure push-based monitoring integrations for Atlas with DataDog. You can also pull monitoring data with the Atlas Administration API.

You can configure pull-based logging integrations with jSonar, which can push to other services like Splunk, and SumoLogic. You can also pull log data every 5 minutes with the Atlas Administration API.

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