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 30 of 429 Results

library

15

datadog-lambda-java

Official Java client library for AWS Lambda functions that enables enhanced Lambda metrics, distributed tracing, and submission of custom metrics to Datadog. It supports automatic injection of trace headers for outbound HTTP requests 3, allowing for distributed tracing across serverless and serverful environments.

  • Datadog

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

library

9

datadog-lambda-rb

The datadog-lambda-rb library enables enhanced metrics, distributed tracing, and custom metric submission for AWS Lambda functions written in Ruby, with automatic correlation between logs and traces.

  • Datadog

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

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/

agent-integration

Active Directory

Collect and graph Microsoft Active Directory metrics

  • Datadog help@datadoghq.com

    https://www.datadoghq.com

agent-integration

ActiveMQ

Monitor ActiveMQ performance by collecting detailed metrics on brokers, queues, topics, producers, consumers, message rates, and resource utilization to ensure optimal messaging infrastructure health and troubleshooting.

  • Datadog help@datadoghq.com

    https://www.datadoghq.com

agent-integration

ActiveMQ XML

Collect metrics for brokers and queues, producers and consumers, and more.

  • Datadog help@datadoghq.com

    https://www.datadoghq.com