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This document walks through how to send AWS vended logs with the Datadog Lambda Forwarder to Observability Pipelines. The setup steps are:

Note: This is available for Worker versions 2.51 or later.

Set up a pipeline

  1. Navigate to Observability Pipelines.
  2. Select the HTTP Server source:
    1. Select None in the dropdown menu for Authorization strategy.
    2. Select JSON in the dropdown menu for Decoding.
  3. After you set up your destinations and processors, click Next: Install.
  4. On the Install page, enter the HTTP/S Server listener address, such as 0.0.0.0:9997.
  5. Follow the rest of the instructions on the page to install the Worker based on your platform.

Deploy the Datadog Lambda Forwarder

Follow the Datadog Forwarder CloudFormation installation instructions to deploy the Datadog Forwarder. After you have filled in DdApiKey and selected the appropriate DdSite, go to the Log Forwarding (Optional) section. Enter the following information in that section to configure the Forwarder for sending logs to Observability Pipelines:

  1. In the DdUrl field, enter your load balancer address, which for this example is 9997. Note: Datadog recommends fronting your Worker with a load balancer.
  2. In the DdPort field, enter 80.
  3. If you want to encrypt traffic from the Datadog Forwarder to your Observability Pipelines Worker load balancer, you need to create an HTTPS listener and manage a certificate on your load balancer. Consult your cloud provider’s documentation. For example in AWS, see Create an HTTPS listener for your Application Load Balancer for more information.
  4. If you do not need to maintain encryption between the Datadog Forwarder and load balancer, select true in the DdNoSsl dropdown menu.
  5. Click Create stack, and wait for the creation to complete.
  6. You can find the installed forwarder Lambda function under the stack’s Resources tab with the logical ID Forwarder.
  7. Set up triggers for the installed Datadog Forwarder.