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The Datadog Agent faithfully collects events and metrics and brings them to Datadog on your behalf so that you can do something useful with your monitoring and performance data.

You're looking at the source code right now. We provide a number of pre-packaged binaries for your convenience.

How to contribute code

First of all and most importantly, thank you for sharing.

If you want to submit code, please fork this repository and submit pull requests against the master branch. For more information, please read our contributing guidelines.

Please note that the Agent is licensed for simplicity's sake under a simplified BSD license, as indicated in the LICENSE file. Exceptions are marked with LICENSE-xxx where xxx is the component name. If you do not agree with the licensing terms and wish to contribute code nonetheless, please email us at info@datadoghq.com before submitting your pull request.

Setup your environment

Required:

  • python 2.6 or 2.7
  • bundler
# Clone the repository
git clone git@github.com:DataDog/dd-agent.git

# Create a virtual environment and install the dependencies:
cd dd-agent
bundle install
rake setup_env

# Activate the virtual environment
source venv/bin/activate

# Lint
bundle exec rake lint

# Run a flavored test
bundle exec rake ci:run[apache]

Test suite

More about how to write tests and run them here

How to configure the Agent

If you are using packages on linux, the main configuration file lives in /etc/dd-agent/datadog.conf. Per-check configuration files are in /etc/dd-agent/conf.d. We provide an example in the same directory that you can use as a template.

How to write your own checks

Writing your own checks is easy using our checks.d interface. Read more about how to use it on our Guide to Agent Checks.

Contributors

git log --all | gawk '/Author/ {print}' | sort | uniq

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