Monitor Ray applications and clusters with Datadog

Ray is an open source compute framework that simplifies the scaling of AI and Python workloads for on-premise and cloud clusters. It integrates with popular libraries, data stores, and tools within the machine learning ecosystem, including Scikit-learn, PyTorch, and TensorFlow. Datadog now integrates with Ray, enabling users to collect key metrics and logs that help monitor the health of their Ray nodes as AI applications scale. The integration provides visualization of telemetry from Ray environments, alerting on Ray issues, and improving resource efficiency of Ray clusters.