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

• Log Persistence

• 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)