datadog.conf.example

[Main]

# The host of the Datadog intake server to send Agent data to
dd_url: https://app.datadoghq.com

# If you need a proxy to connect to the Internet, provide the settings here
# proxy_host: my-proxy.com
# proxy_port: 3128
# proxy_user: user
# proxy_password: password
# To be used with some proxys that return a 302 which make curl switch from POST to GET
# See http://stackoverflow.com/questions/8156073/curl-violate-rfc-2616-10-3-2-and-switch-from-post-to-get
# proxy_forbid_method_switch: no

# If you run the agent behind haproxy, you might want to set this to yes
# skip_ssl_validation: no

# The Datadog api key to associate your Agent's data with your organization.
# Can be found here:
# https://app.datadoghq.com/account/settings
api_key:

# Force the hostname to whatever you want.
#hostname: mymachine.mydomain

# Set the host's tags
#tags: mytag, env:prod, role:database

# Set timeout in seconds for outgoing requests to Datadog. (default: 20)
# When a request timeout, it will be retried after some time.
# It will only be deleted if the forwarder queue becomes too big. (30 MB by default)
# forwarder_timeout: 20

# Add one "dd_check:checkname" tag per running check. It makes it possible to slice
# and dice per monitored app (= running Agent Check) on Datadog's backend.
# create_dd_check_tags: no

# Collect AWS EC2 custom tags as agent tags (requires an IAM role associated with the instance)
# collect_ec2_tags: no

# Incorporate security-groups into tags collected from AWS EC2
# collect_security_groups: no

# Enable Agent Developer Mode
# Agent Developer Mode collects and sends more fine-grained metrics about agent and check performance
# developer_mode: no
# In developer mode, the number of runs to be included in a single collector profile
# collector_profile_interval: 20

# use unique hostname for GCE hosts, see http://dtdg.co/1eAynZk
gce_updated_hostname: yes

# Set the threshold for accepting points to allow anything
# with recent_point_threshold seconds
# Defaults to 30 seconds if no value is provided
# recent_point_threshold: 30

# Use mount points instead of volumes to track disk and fs metrics
# DEPRECATED: use conf.d/disk.yaml instead to configure it
use_mount: no

# Change port the Agent is listening to
# listen_port: 17123

# Start a graphite listener on this port
# graphite_listen_port: 17124

# Additional directory to look for Datadog checks
# additional_checksd: /etc/dd-agent/checks.d/

# Allow non-local traffic to this Agent
# This is required when using this Agent as a proxy for other Agents
# that might not have an internet connection
# For more information, please see
# https://github.com/DataDog/dd-agent/wiki/Network-Traffic-and-Proxy-Configuration
# non_local_traffic: no

# Select the Tornado HTTP Client in the forwarder
# Default to the simple http client
# use_curl_http_client: False

# The loopback address the Forwarder and Dogstatsd will bind.
# Optional, it is mainly used when running the agent on Openshift
# bind_host: localhost

# If enabled the collector will capture a metric for check run times.
# check_timings: no

# If you want to remove the 'ww' flag from ps catching the arguments of processes
# for instance for security reasons
# exclude_process_args: no

# histogram_aggregates: max, median, avg, count
# histogram_percentiles: 0.95

# Multiple endpoints/api_keys
# If you want to send your data to multiple accounts,
# add your extra api_keys here in a comma-separated list
# (default: disabled)
# other_api_keys: my_apikey, my_other_apikey
# If you want to send your data to multiple endpoints,
# add your extra api_keys here in a comma-separated list.
# For each extra dd_url, an api_key must be specified in
# other_api_keys (default: disabled)
# other_dd_urls: https://app.example.com

# ========================================================================== #
# Service Discovery                                                          #
# See https://github.com/DataDog/dd-agent/wiki/Service-Discovery for details #
# ========================================================================== #
#
# Service discovery allows the agent to look for running services
# and load a configuration object for the one it recognizes.
# This feature is disabled by default.
# Uncomment this line to enable it (works for docker containers only for now).
# service_discovery_backend: docker
#
# Define which key/value store must be used to look for configuration templates.
# Default is etcd. Consul is also supported.
# sd_config_backend: etcd
#
# Settings for connecting to the service discovery backend.
# sd_backend_host: 127.0.0.1
# sd_backend_port: 4001
#
# By default, the agent will look for the configuration templates under the
# `/datadog/check_configs` key in the back-end. If you wish otherwise, uncomment this option
# and modify its value.
# sd_template_dir: /datadog/check_configs
#
# ========================================================================== #
# Other                                                                      #
# ========================================================================== #
#
# In some environments we may have the procfs file system mounted in a
# miscellaneous location. The procfs_path configuration paramenter allows
# us to override the standard default location '/proc'
# procfs_path: /proc

# ========================================================================== #
# DogStatsd configuration                                                    #
# ========================================================================== #

# If you don't want to enable the DogStatsd server, set this option to no
# use_dogstatsd: yes

# DogStatsd is a small server that aggregates your custom app metrics. For
# usage information, check out http://docs.datadoghq.com/guides/dogstatsd/

#  Make sure your client is sending to the same port.
# dogstatsd_port: 8125

# By default dogstatsd will post aggregate metrics to the Agent (which handles
# errors/timeouts/retries/etc). To send directly to the datadog api, set this
# to https://app.datadoghq.com.
# dogstatsd_target: http://localhost:17123

# If you want to forward every packet received by the dogstatsd server
# to another statsd server, uncomment these lines.
# WARNING: Make sure that forwarded packets are regular statsd packets and not "dogstatsd" packets,
# as your other statsd server might not be able to handle them.
# statsd_forward_host: address_of_own_statsd_server
# statsd_forward_port: 8125

# you may want all statsd metrics coming from this host to be namespaced
# in some way; if so, configure your namespace here. a metric that looks
# like `metric.name` will instead become `namespace.metric.name`
# statsd_metric_namespace:

# By default, dogstatsd supports only plain ASCII packets. However, most
# (dog)statsd client support UTF8 by encoding packets before sending them
# this option enables UTF8 decoding in case you need it.
# However, it comes with a performance overhead of ~10% in the dogstatsd
# server. This will be taken care of properly in the new gen agent core.
# utf8_decoding: false

# ========================================================================== #
# Service-specific configuration                                             #
# ========================================================================== #

# -------------------------------------------------------------------------- #
#   Ganglia                                                                  #
# -------------------------------------------------------------------------- #

# Ganglia host where gmetad is running
#ganglia_host: localhost

# Ganglia port where gmetad is running
#ganglia_port: 8651

# -------------------------------------------------------------------------- #
#  Dogstream (log file parser)
# -------------------------------------------------------------------------- #

# Comma-separated list of logs to parse and optionally custom parsers to use.
# The form should look like this:
#
#   dogstreams: /path/to/log1:parsers_module:custom_parser, /path/to/log2, /path/to/log3, ...
#
# Or this:
#
#   dogstreams: /path/to/log1:/path/to/my/parsers_module.py:custom_parser, /path/to/log2, /path/to/log3, ...
#
# Each entry is a path to a log file and optionally a Python module/function pair
# separated by colons.
#
# Custom parsers should take a 2 parameters, a logger object and
# a string parameter of the current line to parse. It should return a tuple of
# the form:
#   (metric (str), timestamp (unix timestamp), value (float), attributes (dict))
# where attributes should at least contain the key 'metric_type', specifying
# whether the given metric is a 'counter' or 'gauge'.
#
# Unless parsers are specified with an absolute path, the modules must exist in
# the Agent's PYTHONPATH. You can set this as an environment variable when
# starting the Agent. If the name of the custom parser function is not passed,
# 'parser' is assumed.
#
# If this value isn't specified, the default parser assumes this log format:
#     metric timestamp value key0=val0 key1=val1 ...
#

# ========================================================================== #
# Custom Emitters                                                            #
# ========================================================================== #

# Comma-separated list of emitters to be used in addition to the standard one
#
# Expected to be passed as a comma-separated list of colon-delimited
# name/object pairs.
#
# custom_emitters: /usr/local/my-code/emitters/rabbitmq.py:RabbitMQEmitter
#
# If the name of the emitter function is not specified, 'emitter' is assumed.


# ========================================================================== #
# Logging
# ========================================================================== #

# log_level: INFO

# collector_log_file: /var/log/datadog/collector.log
# forwarder_log_file: /var/log/datadog/forwarder.log
# dogstatsd_log_file: /var/log/datadog/dogstatsd.log

# if syslog is enabled but a host and port are not set, a local domain socket
# connection will be attempted
#
# log_to_syslog: yes
# syslog_host:
# syslog_port: