Skip to content

Latest commit

 

History

History
50 lines (40 loc) · 1.52 KB

cloud.md

File metadata and controls

50 lines (40 loc) · 1.52 KB

Cloud Provider Kubernetes Setup

This guide covers using Ray and Daft with managed Kubernetes services from major cloud providers.

Prerequisites

General Requirements

  • kubectl installed and configured
  • helm installed
  • A running Kubernetes cluster in one of the following cloud providers:
    • Amazon Elastic Kubernetes Service (EKS)
    • Google Kubernetes Engine (GKE)
    • Azure Kubernetes Service (AKS)

Cloud-Specific Requirements

For AWS EKS

  • AWS CLI installed and configured
  • Access to an existing EKS cluster
  • kubectl configured for your EKS cluster: 
    aws eks update-kubeconfig --name your-cluster-name --region your-region

For Google GKE

  • Google Cloud SDK installed
  • Access to an existing GKE cluster
  • kubectl configured for your GKE cluster: 
    gcloud container clusters get-credentials your-cluster-name --zone your-zone

For Azure AKS

  • Azure CLI installed
  • Access to an existing AKS cluster
  • kubectl configured for your AKS cluster: 
    az aks get-credentials --resource-group your-resource-group --name your-cluster-name

Installing Ray and Daft

Once your cloud Kubernetes cluster is running and kubectl is configured, follow the Ray Installation Guide to:

  1. Install KubeRay Operator
  2. Deploy Ray cluster
  3. Install Daft
  4. Set up port forwarding
  5. Submit test jobs

Note: For cloud providers, you'll typically use x86/AMD64 images unless you're specifically using ARM-based instances (like AWS Graviton).