Explore Integrations, Libraries, and More

Discover community-driven integrations, libraries, and resources to extend Datadog across your stack. Filter by platform, data type, use case, and more.

Showing 72 of 745 Results

library

4

Swift-Dogstatsd

Swift Dogstatsd provides an easy way to send Dogstatsd metrics from your Vapor applications. It supports both UDP and UDS transports for metrics delivery and integrates seamlessly with Application and Request contexts, allowing you to increment counters, set gauges, and more with simple method calls.

  • Datadog

    https://github.com/datadog/swift-dogstatsd/

library

3

DatadogStatsD

High Performance DogStatsD Client for .NET Core

  • Gregoire Verdier

    https://github.com/verdie-g/DatadogStatsD

library

2

Home Assistant Datadog Metrics Integration

A flexible Home Assistant integration that enables selective transmission of custom metrics to Datadog via dogstatsd, offering granular control over metric selection, tagging, and automation-based metric sending with more features than the built-in Datadog integration.

  • rapdev-io

    https://github.com/rapdev-io

library

2

pid-stats

The pid-stats integration collects resource usage metrics for processes specified by PID files and sends them to StatsD, allowing monitoring in Datadog. It samples metrics such as CPU usage (user, system, guest), memory usage (resident, virtual, percent), memory faults (major, minor), and disk I/O (read, write, cancelled) for each target process.

  • GitterHQ

    https://github.com/gitterHQ/pid-stats

library

2

rdog

An R package to analyze Datadog metrics into R.

  • Alexis Lê-Quôc

    https://github.com/alq666/rdog

library

1

CDK Queue Datadog Construct

An AWS CDK construct for creating Datadog monitors as CodeBuild steps in CodePipeline workflows, enabling automated monitoring setup with configurable queue and Slack notification parameters.

  • benbpyle

    https://github.com/benbpyle