Discover community-driven integrations, libraries, and resources to extend Datadog across your stack. Filter by platform, data type, use case, and more.
Enrich your Datadog RUM data with feature gate information from Statsig, enabling correlation of feature usage with user experience metrics. The integration provides insights into feature impact on application performance.
Monitor and analyze your Apache Storm clusters with this integration. Collects key metrics on topology execution, performance, resource utilization, and failover events, enabling detailed visibility into real-time processing and system health.
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.
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.
Visualize metrics for databases and kafka clusters from Upstash, providing insights into serverless data services. The integration enables monitoring of Redis and Kafka operations.