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 48 of 57 Results

agent-integration

MongoDB Atlas

Track Atlas read/write performance, Vector Search metrics, and more.

  • MongoDB frank.sun@mongodb.com

    https://www.mongodb.com

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

Qdrant

Monitor your Qdrant vector database with real-time metrics on API performance, request rates, failures, and cluster health to ensure optimal search and deployment reliability.

  • Qdrant Team info@qdrant.com

    https://qdrant.tech/

agent-integration

Redis Cloud

Redis Cloud is a fully-managed cloud service offering of Redis, providing high-performance data storage with advanced features like vector search, JSON support, and full-text search capabilities. The integration enables comprehensive monitoring of Redis Cloud deployments through the Datadog Agent, collecting metrics across databases, nodes, and shards to track throughput, memory utilization, CPU usage, connection counts, and replication health.

  • Redis, Inc. support@redis.com

    https://redis.com/cloud/overview/