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 account or domain you want to use with Logpush.

3. Go to Analytics & Logs > Logs.

4. Click Add Logpush job. 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:

   • Datadog URL Endpoint, which can be either one below. You can find the difference at Datadog API reference Open external link .

   <div class="tab  noCodeTab" id="tab-v1-00abeddfefaf8029"><code>https://http-intake.logs.datadoghq.com/v1/input</code></div>
   <div class="tab  noCodeTab" id="tab-v2-00abeddfefaf8029"><code>https://http-intake.logs.datadoghq.com/api/v2/logs</code></div>
   

   • Datadog API Key, can be retrieved by following these steps Open external link .

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.

​​ 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.

  • <DATADOG_ENDPOINT_URL>: The Datadog HTTP logs intake endpoint, which can be either one below. You can find the difference at Datadog API reference Open external link .
  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 Open external link . 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
}