agent-integration
Ray
Monitor Ray, an open-source unified compute framework for scaling AI and Python workloads, to track health, performance, and resource utilization.
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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 42 of 113 Results
agent-integration
Slurm
Monitor Slurm cluster resource usage, job statuses, and system performance.
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agent-integration
SonarQube
Monitor your SonarQube server and projects.
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agent-integration
TeamCity
Track builds and understand the performance impact of every deploy.
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agent-integration
Terraform
Manage your Datadog account using Terraform
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agent-integration
TorchServe
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.
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