This repository contains the Agent Integrations (also known as checks) that Datadog officially develops and supports. To add a new integration, please see the Integrations Extras repository and the accompanying documentation.

The Datadog Agent packages are equipped with all the Integrations from this repository, so to get started using them, you can simply install the Agent for your operating system. The AGENT_CHANGELOG file shows which Integrations have been updated in each Agent version.

When working with an integration, you will now be dealing with a more structured python project. The new structure should help keep a more sane and modular codebase. To help with the transition, please take a look at the following map to understand where everything falls into place in the new approach.

Now that integrations are cleanly defined as python packages, we will soon be able to ship them as Python wheels that will be pip-installable in the Python environment embedded into the Datadog Agent. This presents a paradigm change in the way we will be delivering standalone integration upgrades, moving away from OS-specific packages to idiomatic Python package delivery.

Working with integrations is easy, the main page of the development docs contains all the info you need to get your dev enviroment up and running in minutes to run, test and build a Check. More advanced API documentation can be found here

For more information on integrations, please reference our documentation and knowledge base. You can also visit our help page to connect with us.