User Guides# Note To learn the basics of Ray on Kubernetes, we recommend taking a look at the introductory guide first. Deploy Ray Serve Applications RayService high availability KubeRay Observability KubeRay upgrade guide Managed Kubernetes services Best Practices for Storage and Dependencies RayCluster Configuration KubeRay Autoscaling Using GPUs Use TPUs with KubeRay GCS fault tolerance in KubeRay Persist KubeRay custom resource logs Persist KubeRay Operator Logs Developing Ray Serve Python scripts on a RayCluster Specify container commands for Ray head/worker Pods Pod Security Helm Chart RBAC TLS Authentication Configuring KubeRay to use Google Cloud Storage Buckets in GKE (Advanced) Understanding the Ray Autoscaler in the Context of Kubernetes (Advanced) Deploying a static Ray cluster without KubeRay Use kubectl Plugin (alpha)