Alerts
Hevo sends alerts whenever an incident requires your attention. You can manage your alert preferences from the Hevo Dashboard.
Alert delivery
Hevo can send alerts to the following:
-
Your registered email address in Hevo
-
Any individual or group email address
-
Email addresses configured with alerting tools such as Opsgenie and PagerDuty
-
Slack channels
To enable alert integration with Slack, Opsgenie, PagerDuty, or ServiceNow, read Getting Alerts in Third-Party Applications.
Alert types
Pipeline-related: Hevo sends a Pipeline alert when:
-
A Pipeline connection fails
-
Any individual or group email address.
-
A Source fails and the Pipeline cannot ingest data from it.
-
Daily data usage exceeds the limit or available Events are nearly exhausted.0
In addition, Hevo sends a summary of all failed Events along with their count every 3 hours.
Schema-related: Hevo sends a schema alert when:
-
A table is dropped in the Destination Hevo deletes the corresponding mapping and notifies all team members.
Note: If Auto Mapping is enabled, Hevo recreates the deleted table in the Destination during the next Pipeline run. If you do not want this table to be created again, disable Auto Mapping.
-
A string or decimal column in the Destination is resized. For example, if the Destination column length is 20 characters but the Source field mapped to it is 40 characters, Hevo resizes the Destination column to a value greater than 40 and sends an alert.
Model-related: Whenever a Model fails, Hevo sends a notification with the reason for the failure.
Workflow-related: Whenever a Workflow fails, Hevo sends a notification with the reason for the failure.
Activation-related: Hevo sends schema-related alerts in the following scenarios:
-
Whenever an Activation run fails, or if an Activation fails to connect to the configured Target or Warehouse.
-
When the Activation recovers from these failures.
Target-related: Hevo sends a notification whenever a Target fails or recovers from a failure.
dbt Model-related: Hevo sends a notification whenever a dbt Model fails or recovers from a failure.
- Articles in this section