🎓Export logs to Datadog tutorial
This section is a step-by-step guide for working with your Aidbox logs with Datadog.
Last updated
This section is a step-by-step guide for working with your Aidbox logs with Datadog.
Last updated
You need to enable Datadog Logs API and create an API Key
To create a new API key go to Datadog then go to Integrations -> APIs:
Click API Keys
Enter the name of the new key and click Create API Key
Copy the newly generated key
Set the AIDBOX_DD_API_KEY environment variable to the Datadog API Key.
For example, if you are using Docker Compose, add the variable to the environment section:
Go to Logs -> Configuration
Click edit on Preprocessing for JSON logs
Set the attributes
| Name | Value |
|---|---|
Date attribute | ts |
Service attributes | tn |
Status attributes | lvl |
Trace Id attributes | ctx |
Message attributes | msg,err |
Now add a facet for the event.
Go to logs then click add on the left
Use @ev path for the new facet
In this guide, we will add a metric for authorization failures
Go to Logs -> Generate Metrics
Click Add a new metric
Define a query for the auth/authorize-failed event
Enter the name for the new metric and click Create metric
Now we can see our metric in the Metrics Explorer
And we can define monitoring to alert if there are too many authorization failures. To do this navigate to Monitors -> New Monitor
Select monitor type "metric"
Set up monitoring options
And notifications
Now we can see our monitor on the Monitor page
It takes some time for Datadog to set up the monitor. After a while, it will become green
And when there are too many authorization failures in a short period of time, it changes the status to warning
Then when it hits the threshold, the alert is created
On the Monitor page, you can see statistics
By default Aidbox sends logs as bundles of multiple records so if there's not enough data you won't see any logs in Datadog. For testing purposes reduce bundle size to 1 record by setting environment variable:
AIDBOX_DD_BATCH_SIZE=1
