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 108 of 119 Results

agent-integration

Superwise

Incidents
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Linux
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Integration

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

Temporal Cloud

Cloud
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Integration
Metrics

Gain insights into system health, workflow efficiency, task execution and performance bottlenecks for your instance.

  • Datadog help@datadoghq.com

    https://www.datadoghq.com

agent-integration

TorchServe

Configuration & Deployment
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Linux
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Metrics
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Integration

The Datadog TorchServe integration enables comprehensive monitoring of your TorchServe instances by collecting metrics, events, and logs from the Inference API, Management API, and OpenMetrics endpoints. Track the overall health status, model performance, and custom metrics, and receive alerts on key events such as model additions or removals. This integration supports flexible configuration for hosts, Docker, and Kubernetes environments, helping you ensure your TorchServe deployments are performing optimally and issues are detected quickly.

  • Datadog help@datadoghq.com

    https://www.datadoghq.com

agent-integration

Tyk

Linux
...
Metrics
Integration

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