Advanced Configurations

This page is not yet available in Spanish. We are working on its translation.
If you have any questions or feedback about our current translation project, feel free to reach out to us!

Overview

This document explains bootstrapping for the Observability Pipelines Worker.

Bootstrap Options

All configuration file paths specified in the pipeline need to be under DD_OP_DATA_DIR/config. Modifying files under that location while OPW is running might have adverse effects.

Bootstrap the Observability Pipelines Worker within your infrastructure before you set up a pipeline. These environment variables are separate from the pipeline environment variables. The location of the related directories and files:

  • Default data directory: var/lib/observability-pipelines-worker
  • Bootstrap file: /etc/observability-pipelines-worker/bootstrap.yaml
  • Environment variables file: /etc/default/observability-pipelines-worker

Note: DD_OP_DATA_DIR can only be owned by a single Observability Pipelines Worker. If you have multiple Workers, you must use unique data directories.

To set bootstrap options, do one of the following:

  • Use environmental variables.
  • Create a bootstrap.yaml and start the Worker instance with --bootstrap-config /path/to/bootstrap.yaml.

The following is a list of bootstrap options, their related pipeline environment variables, and which variables have a higher precedence (priority).

api_key
Pipeline environment variable: DD_API_KEY
Priority: DD_API_KEY
Description: Create a Datadog API key for this environment variable.
pipeline_id
Pipeline environment variable: DD_OP_PIPELINE_ID
Priority: DD_OP_PIPELINE_ID
Description: Create an Observability Pipelines pipeline ID for this environment variable.
site
Pipeline environment variable: DD_SITE
Priority: DD_SITE
Description: Your Datadog site (optional, default: datadoghq.com).
See Getting Started with Sites for more information.
data_dir
Pipeline environment variable: DD_OP_DATA_DIR
Priority: DD_OP_DATA_DIR
Description: The data directory (optional, default: /var/lib/observability-pipelines-worker). This is the file system directory that the Observability Pipelines Worker uses for local state.
tags: []
Pipeline environment variable: DD_OP_TAGS
Priority: DD_OP_TAGS
Description: The tags reported with internal metrics and can be used to filter Observability Pipelines instances for Remote Configuration deployments.
threads
Pipeline environment variable: DD_OP_THREADS
Priority: DD_OP_THREADS
Description: The number of threads to use for processing (optional, default: the number of available cores).
proxy
Pipeline environment variables: DD_PROXY_HTTP, DD_PROXY_HTTPS, DD_PROXY_NO_PROXY
Set proxy servers for the Observability Pipelines Worker. The proxy configuration for the Worker works in the same way as it does for the Datadog Agent.
Priority: The settings are applied to the entire Worker process. The HTTP proxy and HTTPS values are resolved in this order:
   1. DD_PROXY_HTTP(S)
   2. HTTP(S)_PROXY
   3. proxy :
An example proxy configuration:
    proxy:
        enabled: true
        https: https://foo.bar:3128
Description: The Observability Pipelines Worker can route external requests through forward proxies, such as Squid. Forward proxies forward client requests from the Observability Pipelines Worker to the internet. You might use them as a web firewall to forbid or allow certain domains, ports, or protocols. Forward proxies usually do not terminate SSL and therefore do not have access to the request content. They only pass packets back and forth between the client and the destination. HTTP tunnels are used to secure communication through a forward proxy.
Notes:
  • This option is available for Observability Pipelines Worker 2.1 and later.
  • The Observability Pipelines Worker cannot route external requests through reverse proxies, such as HAProxy and NGINX.
  • The DD_PROXY_HTTP(S) and HTTP(S)_PROXY environment variables need to be already exported in your environment for the Worker to resolve them. They cannot be prepended to the Worker installation script.
  • Further reading