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.
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 [email protected] before submitting your
pull request.
All checks, except for agent_metrics, docker_daemon, kubernetes and kubernetes_state (along with the deprecated docker, hdfs, jenkins and mesos checks), have been moved to the Integration SDK. Please look there to submit related issues, PRs, or review the latest changes.
Required:
- python 2.7
- bundler (to get it:
gem install bundler
)
# Clone the repository
git clone [email protected]: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]
More about how to write tests and run them here
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.
Writing your own checks is easy using our checks.d interface. Read more about how to use it on our Guide to Agent Checks.
git log --all | gawk '/Author/ {print}' | sort | uniq