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Resolve Alerts

Atlas issues alerts for the database and server conditions configured in your alert settings. When a condition triggers an alert, Atlas displays a warning symbol on the cluster and sends alert notifications. Your alert settings determine the notification methods. Atlas continues sending notifications at regular intervals until the condition resolves or you delete or disable the alert. You should fix the immediate problem, implement a long-term solution, and view metrics to monitor your progress.

Note

If you integrate with VictorOps, OpsGenie, or DataDog, you can receive informational alerts from these third-party monitoring services in Atlas. However, you must resolve these alerts within each external service.

When you acknowledge an alert, Atlas sends no further notifications until either the acknowledgement period ends, you resolve the alert condition, or you unacknowledge the alert. If an alert condition ends during an acknowledgment period, Atlas sends a notification.

You can unacknowledge an alert that you previously acknowledged. After you unacknowledge an active alert, Atlas resumes sending notifications at regular intervals until the condition resolves or you delete, disable, or re-acknowledge the alert.

To resolve an alert by increasing your cluster's capacity, see Modify a Cluster.

To view and filter the activity feed for an organization or project, see View the Activity Feed.

The following sections describe Atlas alert conditions and suggest steps for resolving them.

Alert Type
Description

Auto-scaling events, such as a change in the cluster tier. You can configure Atlas to notify you of these events.

Amount of CPU and memory used by MongoDB Search processes reach a specified threshold.

Number of connections to a MongoDB process exceeds the allowable maximum.

Percentage of used disk space on a partition reaches a specified threshold.

Indicates inefficient queries.

The change streams cursors that the MongoDB Search process (mongot) uses to keep MongoDB Search indexes updated can contribute to the query targeting ratio and trigger query targeting alerts if the ratio is high.

No primary is detected in replica set.

Amount of oplog data generated on a primary cluster member is larger than the cluster's configured oplog size.

CPU usage of the MongoDB process reaches a specified threshold.