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 115 Results

agent-integration

TokuMX

Caching
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Linux
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Integration

Collects TokuMX database metrics such as operation counters, replication lag, cache table utilization, and storage size. Note: This integration is only compatible with Python 2 and Agent versions up to 7.37.

  • 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

Traffic Server

Caching
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Linux
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Integration

Monitor Apache Traffic Server performance, request statistics, and system logs to ensure availability and optimize resource usage

  • Datadog help@datadoghq.com

    https://www.datadoghq.com

agent-integration

Unbound

Caching
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Linux
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Integration

A datadog integration to collect unbound metrics, providing insights into DNS resolver performance. The integration enables tracking of resolver states and operations.

  • Community david.byron@avast.com

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