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{"@context":"https://schema.org","@type":"DiscussionForumPosting","headline":"Add Kuberay Support for Ray Offline Store and Compute engine","articleBody":"**Describe the solution you'd like**\n\nEnable seamless integration with Kubernetes-managed Ray clusters through the [CodeFlare SDK](https://github.com/project-codeflare/codeflare-sdk/). This enhancement is for Feast users running on Kubernetes and wants to use Kuberay.\n\nCurrently, Feast's Ray integration supports:\n\n- Local Ray clusters\n- Remote Ray clusters (via ray_address)\n\nWe need to add support for Kubernetes-managed Ray clusters (KubeRay):\n\n- Authenticate with CodeFlare SDK using token\n- Generate TLS certificates for cluster access\n- Connect to KubeRay cluster via cluster.cluster_uri()\n- Initialize Ray with runtime environment\n \nExample:\n\n```\noffline_store:\n  type: ray\n  use_kuberay: true\n  kuberay_conf:\n    cluster_name: \"ray-cluster\"\n    namespace: \"ray-system\"\n\nbatch_engine:\n  type: ray.engine\n  use_kuberay: true\n  kuberay_conf:\n    cluster_name: \"ray-cluster\"\n    namespace: \"ray-system\"\n```\n\n","author":{"url":"https://github.com/ntkathole","@type":"Person","name":"ntkathole"},"datePublished":"2025-09-25T11:06:47.000Z","interactionStatistic":{"@type":"InteractionCounter","interactionType":"https://schema.org/CommentAction","userInteractionCount":0},"url":"https://github.com/5633/feast/issues/5633"}