Performance alerts

Setting up and using proactive alerts

Engine alerts allow you to set thresholds on the performance data provided by Engine and send notifications to Slack or PagerDuty when problems arise. They are often useful for detecting anomalies, especially around releases or during issues with an upstream provider. Alerts can be configured to monitor the following metrics for your entire GraphQL service or individual operations:

  • Request rate — requests per minute
  • Request duration — p50/p95/p99 service time
  • Error rate — errors per minute
  • Error percentage — the number of requests with errors divided by total requests

These triggers you select are evaluated on a rolling five minute window. For example, you configure an alert to trigger when an operation’s error rate exceeds 5%. In production, if 6 out of 100 requests result in an error during last five minute, then the alert will trigger with an error rate of 6%. Once you have put out the fire and the five minute error rate falls back below 5%, the alert will resolve. Here is an example of a Slack alert:

Slack Alert

How to set up alerts

Navigate to the Alerts tab in the Metrics area of your service.

Welcome Alerts Page


Choose Slack or PagerDuty, then follow the directions to create a Slack Incoming Webhook or a PagerDuty integration key.

Configure Channel


Two sample alerts are created automatically, but must be enabled to take effect:

  • A performance alert which triggers after consistently slow operation response times across all operations.
  • An error alert which triggers during a period of high error rates (more than 5%) across all operations.

These sample alerts can be enabled and disabled by toggling the checkbox in the Enabled column.

Default Alerts


For monitoring critical operations, like a sign-in mutation or home page query, you can add an operation-specific alert and choose from the same triggers.

Single Operation


Now that you have set up alerting, you can add daily Slack reports or enable the Datadog integration to view the Engine data directly in your Datadog dashboard. If you would like to suggest further features or integrations, please let us know!

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