DataDog/integrations-core

Integrations-core is a collection of official integrations for the Datadog Agent that enable monitoring of various systems and services.

The repository solves the problem of connecting the Datadog Agent to external systems and applications by providing pre-built integrations that collect metrics, logs, and traces from monitored targets. Each integration is a self-contained module that the Agent loads and executes to gather data from a specific service or platform. Developers contribute integrations following a standardized structure, and the Agent packages all integrations from this repository automatically, making them available upon installation.

Teams should adopt these integrations when they need to monitor services that Datadog officially supports and maintains. The repository is suited for organizations already using the Datadog Agent who want to extend monitoring coverage to additional systems without building custom collectors. For new integrations not yet in this core set, the Integrations Extras repository provides a path for community contributions that can eventually be promoted to core status.

The project maintains active continuous integration testing across its test suite. Development follows structured tooling practices, using Ruff for linting, Mypy for type checking, and Hatch for project management. The repository includes comprehensive development documentation that enables contributors to set up local environments and build new checks quickly. An Agent changelog file tracks which integrations have been updated in each Agent release, providing clear visibility into what has changed between versions.