Datadog Agent
The present repository contains the source code of the Datadog Agent version 6. Please refer to the Agent user documentation for information about differences between Agent 5 and Agent 6. Additionally, we provide a list of prepackaged binaries for an easy install process here
Note: the source code of Datadog Agent 5 is located in the dd-agent repository.
Documentation
The general documentation of the project, including instructions for installation and development, is located under the docs directory of the present repo.
Getting started
To build the Agent you need:
- Go 1.10.2 or later.
- Python 2.7 along with development libraries.
- Invoke, you can install it via
pip install invoke
or via Homebrew on OSX/macOS withbrew install pyinvoke
.
Builds and tests are orchestrated with invoke
, type invoke --list
on a shell
to see the available tasks.
To start working on the Agent, you can build the master
branch:
- checkout the repo:
git clone https://github.com/DataDog/datadog-agent.git $GOPATH/src/github.com/DataDog/datadog-agent
. - cd into the project folder:
cd $GOPATH/src/github.com/DataDog/datadog-agent
. - install project's dependencies:
invoke deps
. Make sure that$GOPATH/bin
is in your$PATH
otherwise this step might fail. - build the whole project with
invoke agent.build --build-exclude=snmp,systemd
Please refer to the Agent Developer Guide for more details.
Run
To start the agent type agent run
from the bin/agent
folder, it will take
care of adjusting paths and run the binary in foreground.
You need to provide a valid API key. You can either use the config file or overwrite it with the environment variable like:
DD_API_KEY=12345678990 ./bin/agent/agent -c bin/agent/dist/datadog.yaml
Contributing code
You'll find information and help on how to contribute code to this project under
the docs/dev
directory of the present repo.