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 66 of 71 Results

agent-integration

Nvidia NVML

Collects NVIDIA GPU metrics exposed via the NVIDIA Management Library (NVML), enabling monitoring of GPU performance and resource usage in Kubernetes environments.

  • Community help@datadoghq.com

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

agent-integration

Portworx

Monitor real-time health, performance, and storage metrics from your Portworx cluster, including disk usage, latency, and throughput.

  • Portworx paul@portworx.com

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

agent-integration

Sedai

An autonomous platform that intelligently manages cloud applications, proactively preventing issues and improving availability, performance, and cloud costs. The integration provides notifications about autonomous actions executed in production environments.

  • Sedai praveen.prakash@sedai.io

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

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