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 18 of 429 Results

library

125

datadog-lambda-js

datadog-lambda-js library captures traces, logs, and metrics, and provides options to tag telemetry, scrub sensitive data, and capture Lambda request/response payloads. It also supports cold start tracing, fine-grained payload depth controls, and profiling.

  • Datadog

    https://github.com/DataDog/datadog-lambda-js

library

103

serverless-plugin-datadog

serverless-plugin-datadog is a Serverless Framework plugin that automates Datadog integration for AWS Lambda applications. . The plugin enables collection of enhanced metrics, distributed traces, and logs, and supports features like AWS X-Ray tracing, App and API Protection (AAP), source code integration, and continuous profiling. Supports Node.js, Python, Ruby, Java, Go, and .NET runtimes.

  • Datadog

    https://github.com/DataDog/serverless-plugin-datadog

library

99

DogApi

DogApi is a Ruby client library for interacting with the Datadog API, designed to simplify the process of reporting events and metrics from your Ruby applications or scripts. It provides a higher-level abstraction over Datadog’s HTTP API, making it easy to submit metrics, send events, tag hosts, and retrieve metric data.

  • Datadog

    https://github.com/DataDog/dogapi-rb

library

97

datadog-api-client

Official Node.js client for interacting with the Datadog API, allowing you to programmatically manage monitors, metrics, dashboards, incidents, and more. The client offers flexible configuration for request logging, retry logic, request timeouts, and compression. It also supports unstable endpoints, pagination helpers, and can be extended for custom HTTP behavior such as proxy support.

  • Datadog

    https://github.com/DataDog/datadog-api-client-typescript

library

96

dogstatsd-csharp-client

C# client library for DogStatsD, Datadog’s extension of the StatsD metric server. Features client-side metric aggregation, batching for efficient network usage, and supports Unix domain sockets (UDS) on supported platforms.

  • Datadog

    https://github.com/DataDog/dogstatsd-csharp-client

library

96

datadog-lambda-python

Provides automatic collection of enhanced Lambda metrics, distributed tracing, and enables custom metric submission to Datadog. The library supports tagging telemetry, capturing Lambda request and response payloads, filtering sensitive information from logs and traces, and advanced cold start tracing options. Optional continuous profiling allows collection of CPU and memory snapshots during Lambda execution.

  • Datadog

    https://github.com/DataDog/datadog-lambda-python