Fluentd output plugin for Datadog

This output plugin allows sending logs directly from Fluentd to Datadog - so you don't have to use a separate log shipper if you don't wan't to.

Pre-requirements

fluent-plugin-datadog	Fluentd	Ruby
>= 0.12.0	>= v1	>= 2.4
< 0.12.0	>= v0.12.0	>= 2.1

To add the plugin to your fluentd agent, use the following command:

gem install fluent-plugin-datadog

If you installed the td-agent instead

/usr/sbin/td-agent-gem install fluent-plugin-datadog

Usage

Configure the output plugin

To match events and send them to Datadog, simply add the following code to your configuration file.

HTTP example:

# Match events tagged with "datadog.**" and
# send them to Datadog
<match datadog.**>

  @type datadog
  @id awesome_agent
  api_key <your_api_key>

  # Optional
  include_tag_key true
  tag_key 'tag'

  # Optional parameters
  dd_source '<INTEGRATION_NAME>'
  dd_tags '<KEY1:VALUE1>,<KEY2:VALUE2>'
  dd_sourcecategory '<MY_SOURCE_CATEGORY>'

  # Optional http proxy
  http_proxy 'http://my-proxy.example'

  <buffer>
          @type memory
          flush_thread_count 4
          flush_interval 3s
          chunk_limit_size 5m
          chunk_limit_records 500
  </buffer>

</match>

After a restart of FluentD, any child events tagged with datadog are shipped to your platform.

Validation

Let's make a simple test.

 curl -X POST -d 'json={"message":"hello Datadog from fluentd"}' http://localhost:8888/datadog.test

Produces the following event:

{
    "message": "hello Datadog from fluentd"
}

Advanced configuration

As fluent-plugin-datadog is a buffered output plugin, you can set all of the buffered output-specific properties as described in the fluentd documentation.

Property	Description	Default value
api_key	This parameter is required in order to authenticate your fluent agent.	nil
use_json	Event format, if true, the event is sent in json format. Othwerwise, in plain text.	true
include_tag_key	Automatically include the Fluentd tag in the record.	false
tag_key	Where to store the Fluentd tag.	"tag"
timestamp_key	Name of the attribute which will contain timestamp of the log event. If nil, timestamp attribute is not added.	"@timestamp"
use_ssl	If true, the agent initializes a secure connection to Datadog. In clear TCP otherwise.	true
no_ssl_validation	Disable SSL validation (useful for proxy forwarding)	false
ssl_port	Port used to send logs over a SSL encrypted connection to Datadog. If use_http is disabled, use 10516 for the US region and 443 for the EU region.	443
max_retries	The number of retries before the output plugin stops. Set to -1 for unlimited retries	-1
max_backoff	The maximum time waited between each retry in seconds	30
use_http	Enable HTTP forwarding. If you disable it, make sure to change the port to 10514 or ssl_port to 10516	true
use_compression	Enable log compression for HTTP	true
compression_level	Set the log compression level for HTTP (1 to 9, 9 being the best ratio)	6
dd_source	This tells Datadog what integration it is	nil
dd_sourcecategory	Multiple value attribute. Can be used to refine the source attribute	nil
dd_tags	Custom tags with the following format "key1:value1, key2:value2"	nil
dd_hostname	Used by Datadog to identify the host submitting the logs.	hostname -f
service	Used by Datadog to correlate between logs, traces and metrics.	nil
port	Proxy port when logs are not directly forwarded to Datadog and ssl is not used	80
host	Proxy endpoint when logs are not directly forwarded to Datadog	http-intake.logs.datadoghq.com
http_proxy	HTTP proxy, only takes effect if HTTP forwarding is enabled (use_http). Defaults to HTTP_PROXY/http_proxy env vars.	nil

Docker and Kubernetes tags

Tags in Datadog are critical to be able to jump from one part of the product to the other. Having the right metadata associated to your logs is therefore important to jump from the container view or any container metrics to the most related logs.

If your logs contain any of the following attributes, it will automatically be added as Datadog tags (with the same name as on your metrics) on your logs:

• kubernetes.container_image
• kubernetes.container_name
• kubernetes.namespace_name
• kubernetes.pod_name
• docker.container_id

If the Datadog Agent collect them automatically, FluentD requires a plugin for this. We recommend using fluent-plugin-kubernetes_metadata_filter to collect Docker and Kubernetes metadata.

Configuration example:

# Collect metadata for logs tagged with "kubernetes.**"
<filter kubernetes.*>
  type kubernetes_metadata
</filter>

Encoding

Datadog's API expects log messages to be encoded in UTF-8. If some of your logs are encoded with a different encoding, we recommend using the record_modifier filter plugin to encode these logs to UTF-8.

Configuration example:

# Change encoding of logs tagged with "datadog.**"
<filter datadog.**>
  @type record_modifier

  # change the encoding from the '<SOURCE_ENCODING>' of your logs to 'utf-8'
  char_encoding <SOURCE_ENCODING>:utf-8
</filter>

Build

To build a new version of this plugin and push it to RubyGems:

• Update the version in the .gemspec file accordingly
• rake build to build the gem file
• rake release to push the new gem to RubyGems

Note: The latest command will fail without appropriate credentials configured. You can set those credentials by running the following command:

curl -u <USERNAME> https://rubygems.org/api/v1/api_key.yaml > ~/.gem/credentials, it will ask for your password.