Create a Log Integration


This page walks Technology Partners through creating a Datadog Log integration.

Log integrations

Use the Logs Ingestion HTTP endpoint to send logs to Datadog.

Development process


When creating a log integration, consider the following best practices:

Set the source tag to the integration name.
Datadog recommends that the source tag is set to <integration_name> and that the service tag is set to the name of the service that produces the telemetry. For example, the service tag can be used to differentiate logs by product line.

For cases where there aren’t different services, set service to the same value as source. The source and service tags must be non-editable by the user because the tags are used to enable integration pipelines and dashboards. The tags can be set in the payload or through the query parameter, for example, ?ddsource=example&service=example.

The source and service tags must be in lowercase.
The integration must support all Datadog sites.
The user must be able to choose between the different Datadog sites whenever applicable. See Getting Started with Datadog Sites for more information about site differences.

Your Datadog site endpoint is http-intake.logs..
Allow users to attach custom tags while setting up the integration.
Datadog recommends that manual user tags are sent as key-value attributes in the JSON body. If it’s not possible to add manual tags to the logs, you can send the tags using the ddtags=<TAGS> query parameter. See the Send Logs API documentation for examples.
Send data without arrays in the JSON body whenever possible.
While it’s possible to send some data as tags, Datadog recommends sending data in the JSON body and avoiding arrays. This allows you more flexibility with the operations you can carry out on the data in Datadog Log Management.
Do not log Datadog API keys.
Datadog API keys can either be passed in the header or as part of the HTTP path. See Send Logs API documentation for examples. Datadog recommends using methods that do not log the API key in your setup.
Do not use Datadog application keys.
The Datadog application key is different from the API key and is not required to send logs using the HTTP endpoint.

Set up the log integration assets in your Datadog partner account

Configure the log pipeline

Logs sent to Datadog are processed in log pipelines to standardize them for easier search and analysis.

To set up a log pipeline:

  1. Navigate to Logs > Pipelines.
  2. Click + New Pipeline.
  3. In the Filter field, enter a unique source tag that defines the log source for the Technology Partner’s logs. For example, source:okta for the Okta integration. Note: Make sure that logs sent through the integration are tagged with the correct source tags before they are sent to Datadog.
  4. Optionally, add tags and a description.
  5. Click Create.

You can add processors within your pipelines to restructure your data and generate attributes. For example:

  • Use the date remapper to define the official timestamp for logs.
  • Use the attribute remapper to remap attribute keys to standard Datadog attributes. For example, an attribute key that contains the client IP must be remapped to network.client.ip so Datadog can display Technology Partner logs in out-of-the-box dashboards.
  • Use the service remapper to remap the service attribute or set it to the same value as the source attribute.
  • Use the grok processor to extract values in the logs for better searching and analytics.
  • Use the message remapper to define the official message of the log and make certain attributes searchable by full text.

For a list of all log processors, see Processors.

Set up facets in the Log Explorer

You can optionally create facets, which appear in out-of-the-box dashboard widgets, in the Log Explorer.

  • A facet is used to get relative insights and to count unique values.
  • A measure is a type of facet used for searches over a range. For example, adding a measure for latency duration allows users to search for all logs above a certain latency. Note: Define the unit of a measure facet based on what the attribute represents.

To add a facet or measure:

  1. Click on a log that contains the attribute you want to add a facet or measure for.
  2. In the log panel, click the Cog icon next to the attribute.
  3. Select Create facet/measure for @attribute.
  4. For a measure, to define the unit, click Advanced options. Select the unit based on what the attribute represents.
  5. Click Add.

Note: You do not need to create facets for standard attributes. Facets for standard attributes will be added automatically by Datadog when the log pipeline is published. See the default standard attribute list for the standard Datadog attributes under their specific groups.

To easily navigate the facet list, group similar facets together. For fields specific to the integration logs, create a group with the same name as the source tag.

  1. In the log panel, click the Cog icon next to the attribute that you want in the new group.
  2. Select Edit facet/measure for @attribute. If there isn’t a facet for the attribute yet, select Create facet/measure for @attribute.
  3. Click Advanced options.
  4. In the Group field, enter the name of the new group, and select New group.
  5. Click Update.

Review and deploy the integration

Datadog reviews the log integration and provides feedback to the Technology Partner. In turn, the Technology Partner reviews and makes changes accordingly. This review process is done over email.

Once reviews are complete, Datadog creates and deploys the new log integration assets.

Further reading