This repository is meant to build the base image for a Datadog Agent 5.x container. You will have to use the resulting image to configure and run the Agent. If you are looking for a Datadog Agent 6.x Dockerfile, it is available in the datadog-agent repo.
The default image is ready-to-go. You just need to set your API_KEY in the environment.
docker run -d --name dd-agent \
-v /var/run/docker.sock:/var/run/docker.sock:ro \
-v /proc/:/host/proc/:ro \
-v /sys/fs/cgroup/:/host/sys/fs/cgroup:ro \
-e API_KEY={your_api_key_here} \
-e SD_BACKEND=docker \
-e NON_LOCAL_TRAFFIC=false \
datadog/docker-dd-agent:latest
If you are running on Amazon Linux with version < 2, use the following instead:
docker run -d --name dd-agent \
-v /var/run/docker.sock:/var/run/docker.sock:ro \
-v /proc/:/host/proc/:ro \
-v /cgroup/:/host/sys/fs/cgroup:ro \
-e API_KEY={your_api_key_here} \
-e SD_BACKEND=docker \
-e NON_LOCAL_TRAFFIC=false \
datadog/docker-dd-agent:latest
By default the agent container will use the Name
field found in the docker info
command from the host as a hostname. To change this behavior you can update the hostname
field in /etc/dd-agent/datadog.conf
. The easiest way for this is to use the DD_HOSTNAME
environment variable (see below).
For the Docker check to succeed, memory management by cgroup must be enabled on the host as explained in the debian wiki.
On Debian Jessie or later for example you will need to add cgroup_enable=memory swapaccount=1
to your boot options, otherwise the agent won't be able to recognize your system. See this thread for details.
The commands in the Quick Start section enable Autodiscovery in auto-conf mode, meaning the Agent will automatically run checks against any containers running images listed in the default check templates.
To learn more about Autodiscovery, read the Autodiscovery guide on the Datadog Docs site. To disable it, omit the SD_BACKEND
environment variable when starting docker-dd-agent.
Some configuration parameters can be changed with environment variables:
-
DD_HOSTNAME
set the hostname (write it indatadog.conf
) -
TAGS
set host tags. Add-e TAGS=simple-tag-0,tag-key-1:tag-value-1
to use [simple-tag-0, tag-key-1:tag-value-1] as host tags. -
EC2_TAGS
set EC2 host tags. Add-e EC2_TAGS=yes
to use EC2 custom host tags. Requires an IAM role associated with the instance. -
LOG_LEVEL
set logging verbosity (CRITICAL, ERROR, WARNING, INFO, DEBUG). Add-e LOG_LEVEL=DEBUG
to turn logs to debug mode. -
DD_LOGS_STDOUT
: set it toyes
to send all logs to stdout and stderr, for them to be processed by Docker. -
PROXY_HOST
,PROXY_PORT
,PROXY_USER
andPROXY_PASSWORD
set the proxy configuration. -
DD_URL
set the Datadog intake server to send Agent data to (used when using an agent as a proxy ) -
NON_LOCAL_TRAFFIC
configures thenon_local_traffic
option in the agent which enables or disables statsd reporting from any external ip. You may find this useful to report metrics from your other containers. See network configuration for more details. This option is set to true by default in the image, and thedocker run
command we provide in the example above disables it. Remove the-e NON_LOCAL_TRAFFIC=false
part to enable it back. WARNING if you allow non-local traffic, make sure your agent container is not accessible from the Internet or other untrusted networks as it would allow anyone to submit metrics to it. -
SD_BACKEND
,SD_CONFIG_BACKEND
,SD_BACKEND_HOST
,SD_BACKEND_PORT
,SD_TEMPLATE_DIR
,SD_CONSUL_TOKEN
,SD_BACKEND_USER
andSD_BACKEND_PASSWORD
configure Autodiscovery (previously known as Service Discovery):SD_BACKEND
: set todocker
(the only supported backend) to enable Autodiscovery.SD_CONFIG_BACKEND
: set toetcd
,consul
, orzk
to use one of these key-value stores as a template source.SD_BACKEND_HOST
andSD_BACKEND_PORT
: configure the connection to the key-value template source.SD_TEMPLATE_DIR
: when using SD_CONFIG_BACKEND, set the path where the check configuration templates are located in the key-value store (default isdatadog/check_configs
)SD_CONSUL_TOKEN
: when using Consul as a template source and the Consul cluster requires authentication, set a token so the Datadog Agent can connect.SD_BACKEND_USER
andSD_BACKEND_PASSWORD
: when using etcd as a template source and it requires authentication, set a user and password so the Datadog Agent can connect.
-
DD_APM_ENABLED
run the trace-agent along with the infrastructure agent, allowing the container to accept traces on 8126/tcp (This option is NOT available on Alpine Images) -
DD_PROCESS_AGENT_ENABLED
run the process-agent along with the infrastructure agent, feeding data to the Live Process View and Live Containers View (This option is NOT available on Alpine Images) -
DD_COLLECT_LABELS_AS_TAGS
Enables the collection of the listed labels as tags. Comma separated string, without spaces unless in quotes. Exemple:-e DD_COLLECT_LABELS_AS_TAGS='com.docker.label.foo, com.docker.label.bar'
or-e DD_COLLECT_LABELS_AS_TAGS=com.docker.label.foo,com.docker.label.bar
. -
MAX_TRACES_PER_SECOND
: Specifies the maximum number of traces per second to sample for APM. Set to0
to disable this limit. -
DD_HISTOGRAM_PERCENTILES
: histogram percentiles to compute, separated by commas. The default is "0.95" -
DD_HISTOGRAM_AGGREGATES
: histogram aggregates to compute, separated by commas. The default is "max, median, avg, count"
Note: Some of those have alternative names, but with the same impact: it is possible to use DD_TAGS
instead of TAGS
, DD_LOG_LEVEL
instead of LOG_LEVEL
and DD_API_KEY
instead of API_KEY
.
It is possible to enable some checks through the environment:
KUBERNETES
enables the kubernetes check if set (KUBERNETES=yes
works)- to collect the kubernetes events, you can set
KUBERNETES_COLLECT_EVENTS
totrue
on one agent per cluster. Alternatively, you can enable the leader election mechanism by settingKUBERNETES_LEADER_CANDIDATE
totrue
on candidate agents, and adjust the lease time (in seconds) with theKUBERNETES_LEADER_LEASE_DURATION
variable. - by default, only events from the
default
namespace are collected. To change what namespaces are used, set theKUBERNETES_NAMESPACE_NAME_REGEX
regexp to a valid regexp matching your relevant namespaces. - to collect the
kube_service
tags, the agent needs to query the apiserver's events and services endpoints. If you need to disable that, you can passKUBERNETES_COLLECT_SERVICE_TAGS=false
. - the kubelet API endpoint is assumed to be the default route of the container, you can override the kubelet API endpoint by specifying
KUBERNETES_KUBELET_HOST
(eg. when using CNI networking, the kubelet API may not listen on the default route address) MESOS_MASTER
andMESOS_SLAVE
respectively enable the mesos master and mesos slave checks if set (MESOS_MASTER=yes
works).MARATHON_URL
if set will be used to enable the Marathon check that will query the URL passed in this variable for metrics. It can usually be set tohttp://leader.mesos:8080
.
Another way to enable checks is through Autodiscovery. This is particularly useful in dynamic environments like Kubernetes, Amazon ECS, or Docker Swarm. Read more about Autodiscovery on the Datadog Docs site.
You can also mount YAML configuration files in the /conf.d
folder, they will automatically be copied to /etc/dd-agent/conf.d/
when the container starts. The same can be done for the /checks.d
folder. Any Python files in the /checks.d
folder will automatically be copied to /etc/dd-agent/checks.d/
when the container starts.
-
Create a configuration folder on the host and write your YAML files in it. The examples below can be used for the
/checks.d
folder as well.mkdir /opt/dd-agent-conf.d touch /opt/dd-agent-conf.d/nginx.yaml
-
When creating the container, mount this new folder to
/conf.d
.docker run -d --name dd-agent \ -v /var/run/docker.sock:/var/run/docker.sock:ro \ -v /proc/:/host/proc/:ro \ -v /sys/fs/cgroup/:/host/sys/fs/cgroup:ro \ -v /opt/dd-agent-conf.d:/conf.d:ro \ -e API_KEY={your_api_key_here} \ datadog/docker-dd-agent
The important part here is
-v /opt/dd-agent-conf.d:/conf.d:ro
Now when the container starts, all files in /opt/dd-agent-conf.d
with a .yaml
extension will be copied to /etc/dd-agent/conf.d/
. Please note that to add new files you will need to restart the container.
If you need to run any JMX-based Agent checks, run a JMX image, e.g. datadog/docker-dd-agent:latest-jmx
, datadog/docker-dd-agent:11.0.5150-jmx
, etc. These images are based on the default images but add a JVM, which is needed for the Agent to run jmxfetch.
The default images (e.g. latest
) run a DogStatsD server as well as the main Agent (i.e. the collector). If you want to run DogStatsD only, run a DogStatsD-only image, e.g. datadog/docker-dd-agent:latest-dogstatsd
, datadog/docker-dd-agent:11.0.5141-dogstatsd-alpine
, etc. These images don't run the collector process.
They also run the DogStatsD server as a non-root user, which is useful for platforms like OpenShift. They also don't need shared volumes from the host (/proc
, /sys/fs
and the Docker socket) like the default Agent image.
Note: Metrics submitted by this container will NOT get tagged with any global tags
specified in datadog.conf
. These tags are only read by the Agent's collector process, which these DogStatsD-only images do not run.
Note: Optionally, these images can run the the trace-agent process. Pass -e DD_APM_ENABLED=true
to your docker run
command to activate the trace-agent and allow your container to receive traces from Datadog's APM client libraries.
DogStatsD can be available on port 8125 from anywhere by adding the option -p 8125:8125/udp
to the docker run
command.
To make it available from your host only, use -p 127.0.0.1:8125:8125/udp
instead.
DogStatsd can be disabled by setting USE_DOGSTATSD
to no
Since the Agent container port 8125 should be linked to the host directly, you can connect to DogStatsD through the host. Usually the IP address of the host in a Docker container can be determined by looking at the address of the default route of this container with ip route
for example. You can then configure your DogStatsD client to connect to 172.17.42.1:8125
for example.
To send data to DogStatsD from other containers, add a --link dogstatsd:dogstatsd
option to your run command.
For example, run a container my_container
with the image my_image
.
docker run --name my_container \
--all_your_flags \
--link dogstatsd:dogstatsd \
my_image
DogStatsD address and port will be available in my_container
's environment variables DOGSTATSD_PORT_8125_UDP_ADDR
and DOGSTATSD_PORT_8125_UDP_PORT
.
Enable the datadog-trace-agent in the docker-dd-agent
container by passing
DD_APM_ENABLED=true
as an environment variable
Note: APM is NOT available on Alpine Images
Tracing can be available on port 8126/tcp from anywhere by adding the options -p 8126:8126/tcp
to the docker run
command
To make it available from your host only, use -p 127.0.0.1:8126:8126/tcp
instead.
For example, the following command will allow the agent to receive traces from anywhere
docker run -d --name dd-agent \
-v /var/run/docker.sock:/var/run/docker.sock:ro \
-v /proc/:/host/proc/:ro \
-v /sys/fs/cgroup/:/host/sys/fs/cgroup:ro \
-e API_KEY={your_api_key_here} \
-e DD_APM_ENABLED=true \
-p 8126:8126/tcp \
datadog/docker-dd-agent
Previous instructions required binding to port 7777. This is a legacy port used by former client libraries and has been replaced by 8126.
As with DogStatsD, traces can be submitted to the agent from other containers either using the Docker host IP or with Docker links
docker run --name my_container \
--all_your_flags \
--link dd-agent:dd-agent \
my_image
will expose DD_AGENT_PORT_8126_TCP_ADDR
and DD_AGENT_PORT_8126_TCP_PORT
as environment variables. Your application tracer can be configured to submit to this address.
An example in Python:
import os
from ddtrace import tracer
tracer.configure(
hostname=os.environ["DD_AGENT_PORT_8126_TCP_ADDR"],
port=os.environ["DD_AGENT_PORT_8126_TCP_PORT"]
)
Agent container port 8126 should be linked to the host directly, Having determined the address of the default route of this container, with ip route
for example, you can configure your application tracer to report to it.
An example in python, assuming 172.17.0.1
is the default route:
from ddtrace import tracer; tracer.configure(hostname="172.17.0.1", port=8126)
To configure specific settings of the agent directly in the image, you may need to build a Docker image on top of ours.
-
Create a
Dockerfile
to set your specific configuration or to install dependencies.FROM datadog/docker-dd-agent # Example: MySQL ADD conf.d/mysql.yaml /etc/dd-agent/conf.d/mysql.yaml
-
Build it.
docker build -t dd-agent-image .
-
Then run it like the
datadog/docker-dd-agent
image.docker run -d --name dd-agent \ -v /var/run/docker.sock:/var/run/docker.sock:ro \ -v /proc/:/host/proc/:ro \ -v /sys/fs/cgroup/:/host/sys/fs/cgroup:ro \ -e API_KEY={your_api_key_here} \ dd-agent-image
-
It's done!
You can find some examples in our Github repository.
Starting from Agent 5.7 we also provide an image based on Alpine Linux. This image is smaller (about 60% the size of the Debian based one), and benefits from Alpine's security-oriented design. It is compatible with all options described in this file (Autodiscovery, enabling specific integrations, etc.) with the exception of JMX and Tracing (the trace-agent does not ship with the Alpine images).
This image is available under tags with the following naming convention usual_tag_name-alpine
. So for example to use the latest tag: datadog/docker-dd-agent:latest-alpine
must be pulled. To use a specific version number, specify 11.2.583-alpine
.
The Alpine version can be used this way:
```
docker run -d --name dd-agent \
-v /var/run/docker.sock:/var/run/docker.sock:ro \
-v /proc/:/host/proc/:ro \
-v /sys/fs/cgroup/:/host/sys/fs/cgroup:ro \
-e API_KEY={your_api_key_here} \
datadog/docker-dd-agent:latest-alpine
```
Note: In this version, check configuration files must be stored in /opt/datadog-agent/agent/conf.d/
instead of /etc/dd-agent/conf.d/
.
Warning: This version is recent, and its behaviour may differ a little (namely, it is running a source-installed agent so commands need to be adapted). If you find a bug, don't hesitate to file an issue, feedback around it is appreciated.
The docker image is following a versioning pattern that allows us to release changes to the Docker image of the Datadog Agent but with the same version of the Agent.
The Docker image version follows the following pattern:
X.Y.Z
where X is the major version of the Docker Image, Y is the minor version, Z will represent the Agent version.
e.g. the first version of the Docker image that bundled the Datadog Agent 5.5.0 was:
10.0.550
To display information about the Agent's state with this command.
debian:
docker exec dd-agent service datadog-agent info
alpine:
docker exec dd-agent /opt/datadog-agent/bin/agent info
Warning: the docker exec
command is available only with Docker 1.3 and above.
That's the simplest solution. It imports container's log to one's host directory.
docker cp dd-agent:/var/log/datadog /tmp/log-datadog-agent
Basic information about the Agent execution are available through the logs
command.
docker logs dd-agent
Exec a shell on the container and tail logs (collector.log, forwarder.log and jmxfetch.log) for debugging. The supervisor.log is available there as well but you can get that from docker logs dd-agent
from the host.
alpine:
$ docker exec -it dd-agent ash
/opt/datadog-agent # tail -f /opt/datadog-agent/logs/dogstatsd.log
2016-07-22 23:09:09 | INFO | dd.dogstatsd | dogstatsd(dogstatsd.py:210) | Flush #8: flushed 1 metric, 0 events, and 0 service check runs
debian:
$ docker exec -it dd-agent bash
# tail -f /var/log/datadog/dogstatsd.log
2016-07-22 23:09:09 | INFO | dd.dogstatsd | dogstatsd(dogstatsd.py:210) | Flush #8: flushed 1 metric, 0 events, and 0 service check runs
The Agent won't be able to collect disk metrics from volumes that are not mounted to the Agent container. If you want to monitor additional partitions, make sure to share them to the container in your docker run command (e.g. -v /data:/data:ro
)
Docker isolates containers from the host. As a result, the Agent won't have access to all host metrics.
Known missing/incorrect metrics:
- Network
- Process list
Also, several integrations might be incomplete. See the "Contribute" section.
If you notice a limitation or a bug with this container, feel free to open a Github issue. If it concerns the Agent itself, please refer to its documentation or its wiki.