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 516 of 627 Results

agent-integration

Spark

Monitor Apache Spark performance by collecting metrics on drivers, executors, RDDs, tasks, and job states, including memory usage, disk usage, and task/job counts.

  • Datadog help@datadoghq.com

    https://www.datadoghq.com

agent-integration

Speedscale

Publish traffic replay results from Speedscale into Datadog, enabling correlation of observability data with replay results. The integration helps identify and troubleshoot performance issues before they impact production.

  • Speedscale support@speedscale.com

    https://github.com/DataDog/integrations-extras

agent-integration

speedtest

Runs Speedtest results using speedtest-cli, providing insights into network performance and connectivity. The integration enables tracking of speed test metrics through the Datadog Agent.

  • Community cody.lee@datadoghq.com

    https://github.com/DataDog/integrations-extras

agent-integration

SQL Server

Monitor Microsoft SQL Server performance, query activity, and database health by collecting key metrics such as user connections, SQL compilations, wait events, file sizes, and more. Supports log collection, custom queries, AlwaysOn metrics, and integration with Datadog Database Monitoring for enhanced insight into live and historical query performance.

  • Datadog help@datadoghq.com

    https://www.datadoghq.com