Explore Integrations and Libraries

Discover and build community-driven integrations and libraries to extend Datadog across your stack. Filter by platform, data type, use case, and more.

Showing 42 of 45 Results

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/

agent-integration

Redis Enterprise

Redis Enterprise integration provides comprehensive monitoring for on-premises and private cloud Redis Enterprise deployments, offering detailed metrics collection across databases, nodes, and shards. It enables tracking of critical performance indicators including database throughput, memory usage, CPU utilization, connection management, and replication health.

  • Redis, Inc. support@redis.com

    https://redis.com/redis-enterprise-software/overview

agent-integration

Robust Intelligence AI Firewall

Monitor AI Firewall results using Datadog, providing comprehensive protection for AI models against malicious payloads and ensuring output quality. The integration enables tracking of allowed and blocked data points, offering insights into AI security issues.

  • Robust Intelligence help@robustintelligence.com

    https://www.robustintelligence.com/

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