Trigger Examples | Honeycomb

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Trigger Examples

Use the Trigger examples below when creating a trigger. The specific attributes in each example may or may not exist in your data and environment.

Each example contains:

  1. the attributes in the Trigger query
  2. the threshold value in the Alerts section

The example Trigger Queries use the three VISUALIZE, WHERE, and GROUP BY clauses, located at the top of the Query Builder display.

  • VISUALIZE - Performs a calculation and displays a corresponding graph over time. Most VISUALIZE queries return a line graph while the HEATMAP visualization shows the distribution of data over time
  • WHERE - Filters based on attribute parameter(s)
  • GROUP BY - Groups fields by attribute parameter(s)

Screenshot of Visualize, Where, and Group by clauses in Query Builder

Slow Response Times 

Slow response times can be frustrating and also indicate potential problems with your service. Use these trigger examples to alert your team if response times exceed a certain threshold.

Alert When P95 of Traces > X ms 

The query calculates the 95th percentile of the total duration of the traces in your application, in seconds, and checks if it is greater than 550 ms. Use to alert if a significant number of the traces in the application are taking longer than the highest expected range to complete.

VISUALIZE WHERE GROUP BY
P95(duration_ms) trace.parent_id does-not-exist name
THRESHOLD
> 550ms

Alert When P90 of Database Calls > X ms 

The threshold for your alert for p90 database calls should be based on the expected performance of your database, and the requirements of your application. If the expected performance of the database is known, set the alert threshold to a value that is slightly higher than the expected performance, and also give some margin for error or variability.

VISUALIZE WHERE
P90(duration_ms) db.statement exists
THRESHOLD
> 550ms

Error Rates 

High error rates can be an indication of underlying issues that are affecting the performance and stability of your service, and can help identify areas for improvement. Monitoring specific errors can also provide valuable insights into the types of issues that are occurring, and can help you understand the root causes of those errors.

Alert When > X Exceptions or > X Specific Exceptions 

Adjust the threshold of 500 exceptions to fit the specific needs of your application, and to ensure that the alert is effective at identifying potential issues.

VISUALIZE WHERE GROUP BY
COUNT exception.type exists exception.type
THRESHOLD
> 500

Or, for specific exceptions:

VISUALIZE WHERE GROUP BY
COUNT exception.type = {push-notification-send-failure} user.id
THRESHOLD
> 0

Tenant Errors 

This type of alert can be set up to trigger when a certain number of errors are generated by a specific tenant on a particular endpoint. For example, you could set up an alert to trigger when the number of errors generated by tenant “XYZ” on endpoint “/api/users” exceeds a certain threshold, such as 500 errors in an hour. Use this trigger example to identify potential issues that are affecting a specific tenant, and take action to address those issues.

Alert When Application Tenant Errors are Present 

VISUALIZE WHERE GROUP BY
COUNT error exists app.tenant_id
THRESHOLD
> 0

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