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Enable Logpush to Datadog

Cloudflare Logpush supports pushing logs directly to Datadog via the Cloudflare dashboard or via API.

​​ Manage via the Cloudflare dashboard

Enable Logpush to Datadog via the dashboard.

To enable the Cloudflare Logpush service:

  1. Log in to the Cloudflare dashboard.

  2. Select the Enterprise domain you want to use with Logpush.

  3. Go to Analytics > Logs.

  4. Click Connect a service. A modal window opens where you will need to complete several steps.

  5. Select the dataset you want to push to a storage service.

  6. Select the data fields to include in your logs. Add or remove fields later by modifying your settings in Logs > Logpush.

  7. Select Datadog.

  8. Enter or select the following destination information:

    https://http-intake.logs.datadoghq.com/v1/input
    https://http-intake.logs.datadoghq.com/api/v2/logs
  9. Click Validate access.

  10. Click Save and Start Pushing to finish enabling Logpush.

Once connected, Cloudflare lists Datadog as a connected service under Logs > Logpush. Edit or remove connected services from here.

​​ Manage via API

To set up a Datadog Logpush job:

  1. Create a job with the appropriate endpoint URL and authentication parameters.
  2. Enable the job to begin pushing logs.
Only roles with Cloudflare Log Share edit permissions can read and configure Logpush jobs because job configurations may contain sensitive information. Ensure Log Share permissions are enabled, before attempting to read or configure a Logpush job.

​​ 1. Create a job

To create a job, make a POST request to the Logpush jobs endpoint with the following fields:

  • name (optional) - Use your domain name as the job name.

  • destination_conf - A log destination consisting of an endpoint URL, authorization header, and zero or more optional parameters that Datadog supports in the string format below.

    https://http-intake.logs.datadoghq.com/v1/input
    https://http-intake.logs.datadoghq.com/api/v2/logs
    • <DATADOG_API_KEY>: The Datadog API token can be retrieved by following these steps. For example, 20e6d94e8c57924ad1be3c29bcaee0197d.
    • ddsource: Set to cloudflare.
    • service, host, ddtags: Optional parameters allowed by Datadog.
"datadog://<DATADOG_ENDPOINT_URL>?header_DD-API-KEY=<DATADOG_API_KEY>&ddsource=cloudflare&service=<SERVICE>&host=<HOST>&ddtags=<TAGS>"
  • dataset - The category of logs you want to receive. Refer to Log fields for the full list of supported datasets.
  • logpull_options (optional) - To configure fields, sample rate, and timestamp format, refer to API configuration options.

Example request using cURL:

curl -s -X POST \
https://api.cloudflare.com/client/v4/zones/<ZONE_ID>/logpush/jobs \
-H "X-Auth-Email: <EMAIL>" \
-H "X-Auth-Key: <API_KEY>" \
-d '{"name":"<DOMAIN_NAME>",
"destination_conf": "datadog://<DATADOG_ENDPOINT_URL>?header_DD-API-KEY=<DATADOG_API_KEY>&ddsource=cloudflare&service=<SERVICE>&host=<HOST>&ddtags=<TAGS>", "logpull_options": "fields=ClientIP,ClientRequestHost,ClientRequestMethod,ClientRequestURI,EdgeEndTimestamp,EdgeResponseBytes,EdgeResponseStatus,EdgeStartTimestamp,RayID&timestamps=rfc3339", "dataset": "http_requests"}' | jq .

Response:

{
"errors": [],
"messages": [],
"result": {
"id": 100,
"dataset": "http_requests",
"enabled": false,
"name": "<DOMAIN_NAME>",
"logpull_options": "fields=ClientIP,ClientRequestHost,ClientRequestMethod,ClientRequestURI,EdgeEndTimestamp,EdgeResponseBytes,EdgeResponseStatus,EdgeStartTimestamp,RayID&timestamps=rfc3339",
"destination_conf": "datadog://<DATADOG_ENDPOINT_URL>?header_DD-API-KEY=<DATADOG_API_KEY>",
"last_complete": null,
"last_error": null,
"error_message": null
},
"success": true
}

​​ 2. Enable (update) a job

To enable a job, make a PUT request to the Logpush jobs endpoint. You will use the job ID returned from the previous step in the URL and send {"enabled": true} in the request body.

Example request using cURL:

curl -s -X PUT \
https://api.cloudflare.com/client/v4/zones/<ZONE_ID>/logpush/jobs/100 -d'{"enabled":true}' | jq .

Response:

{
"errors": [],
"messages": [],
"result": {
"id": 100,
"dataset": "http_requests",
"enabled": true,
"name": "<DOMAIN_NAME>",
"logpull_options": "fields=ClientIP,ClientRequestHost,ClientRequestMethod,ClientRequestURI,EdgeEndTimestamp,EdgeResponseBytes,EdgeResponseStatus,EdgeStartTimestamp,RayID&timestamps=rfc3339",
"destination_conf": "datadog://<DATADOG_ENDPOINT_URL>?header_DD-API-KEY=<DATADOG_API_KEY>",
"last_complete": null,
"last_error": null,
"error_message": null
},
"success": true
}