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 150 of 158 Results

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

Storm

Monitor and analyze your Apache Storm clusters with this integration. Collects key metrics on topology execution, performance, resource utilization, and failover events, enabling detailed visibility into real-time processing and system health.

  • Community help@datadoghq.com

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

agent-integration

Superwise

Superwise is an advanced model observability platform designed to monitor machine learning models in production. This integration provides real-time tracking of model performance, data drift, and operational metrics, enabling users to detect issues, ensure model reliability, and maintain compliance throughout the model lifecycle.

  • Superwise support@superwise.ai

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

agent-integration

Tyk

Track requests with time statistics sliced by resp-code, api, path, oauth etc., providing comprehensive API performance monitoring. The integration enables tracking of errors, response time, duration, and latency.

  • Tyk yaara@tyk.io

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