Full-Stack Observability in Ray: Infrastructure Signals in Ray Dashboard
summary
Describes Ray’s platform events integration that ingests Kubernetes events (for RayCluster, RayJob, RayService custom resources plus pod evictions, spot preemptions, and OOM kills) and surfaces them in the Ray Dashboard by correlating ephemeral pod lifecycles with stable Ray worker identities to enable immediate root-cause analysis without running kubectl.
AI-written summary · about
related talks
22mDebugging and Observability for Distributed Ray Applications
26mIntroduction to Distributed ML Workloads with Ray on Kubernetes
39mSailing Ray Workloads with KubeRay and Kueue in Kubernetes
31mNext-Generation Data Science Workflows Using Ray
32mAn Overview of CloudKitchens's Ray-Powered ML Platform
28mRay on Public-Cloud k8s - experiments, lessons & best practices
24mSkyRay: Seamlessly Extending KubeRay to Multi-Cluster Multi-Cloud Operation
22mHidden Signals in K8s Clusters
