Database monitoring continuously tracks cluster health, resource usage, performance, and operational events so teams can detect problems early, improve performance, and plan capacity. section 20.7 section 21.0
Use monitoring to inspect different operational signals:
- Analyze slow queries with Performance Advisor, inspect collection-level query latency with Namespace Insights, and view current behavior in the Real-Time Performance Panel. section 21.2
- Review deployment metrics for historical throughput, performance, and resource use when tuning workloads or planning capacity. section 21.2
- Configure alerts for database, user, and account conditions, routing notifications through email, SMS, PagerDuty, or Slack. section 21.2
- Access MongoDB logs and integrate third-party monitoring services for broader operational visibility. section 21.2
A practical monitoring loop
Start with real-time performance and latency views, investigate slow queries with Performance Advisor, check historical deployment metrics for recurring pressure, and configure alerts for conditions requiring immediate action. For a local Atlas cluster, use the Atlas CLI to view logs and assess cluster health. section 21.2 section 13.3
Monitoring also supports defense in depth: unusual access patterns, failed login attempts, and changes to critical settings can trigger alerts for rapid investigation. section 20.7
