Update RHODS to RHOAI

rhods-operator/INFO.md → openshift-ai/INFO.md

@@ -1,10 +1,10 @@
-# rhods-operator
+# Red Hat OpenShift AI
 
-Red Hat OpenShift Data Science (RHODS) is a machine-learning-as-a-service
-platform built on Red Hat's Kubernetes-based OpenShift Container Platform,
-Ceph Object Storage, and integrating a collection of open source projects.
+Red Hat OpenShift AI (RHOAI) is a machine-learning-as-a-service
+platform built on Red Hat's Kubernetes-based OpenShift Container Platform 
+integrating a collection of open source projects.
 
-The RHODS operator allows users to install and manage RHODS components.
+The RHOAI operator allows users to install and manage RHOAI components.
 Users can mix and match tools from each project to fulfill the needs of
 their use case. Each of the projects share some components, but can be
 mostly seen as an extension of each other to provide as complete a solution
@@ -13,4 +13,4 @@ as possible for enterprise users.
 ### Components
 
 * Notebook Controller - Open source multi-user notebook platform w/ GPU support
-* RHODS Dashboard - Dashboard for Red Hat OpenShift Data Science
+* RHOAI Dashboard - Dashboard for Red Hat OpenShift AI

rhods-operator/README.md → openshift-ai/README.md

@@ -1,26 +1,28 @@
-# Red Hat OpenShift Data Science
+# Red Hat OpenShift AI
 
-Install Red Hat OpenShift Data Science.
+Install Red Hat OpenShift AI.
 
 Do not use the `base` directory directly, as you will need to patch the `channel` based on the version of OpenShift you are using, or the version of the operator you want to use.
 
 The current *overlays* available are for the following channels:
 
 * [beta](operator/overlays/beta)
+* [fast](operator/overlays/beta)
 * [stable](operator/overlays/stable)
 
+
 ## Usage
 
-If you have cloned the `gitops-catalog` repository, you can install Red Hat OpenShift Data Science based on the overlay of your choice by running from the root (`gitops-catalog`) directory.
+If you have cloned the `gitops-catalog` repository, you can install Red Hat OpenShift AI based on the overlay of your choice by running from the root (`gitops-catalog`) directory.
 
 ```
-oc apply -k rhods-operator/operator/overlays/<channel>
+oc apply -k openshift-ai/operator/overlays/<channel>
 ```
 
 Or, without cloning:
 
 ```
-oc apply -k https://github.com/redhat-cop/gitops-catalog/rhods-operator/operator/overlays/<channel>
+oc apply -k https://github.com/redhat-cop/gitops-catalog/openshift-ai/operator/overlays/<channel>
 ```
 
 As part of a different overlay in your own GitOps repo:
@@ -29,5 +31,5 @@ As part of a different overlay in your own GitOps repo:
 apiVersion: kustomize.config.k8s.io/v1beta1
 kind: Kustomization
 resources:
-  - https://github.com/redhat-cop/gitops-catalog/rhods-operator/operator/overlays/<channel>?ref=main
+  - https://github.com/redhat-cop/gitops-catalog/openshift-ai/operator/overlays/<channel>?ref=main
 ```

rhods-operator/instance/base/datasciencecluster.yaml → openshift-ai/instance/base/datasciencecluster.yaml

@@ -1,5 +1,5 @@
-apiVersion: datasciencecluster.opendatahub.io/v1
 kind: DataScienceCluster
+apiVersion: datasciencecluster.opendatahub.io/v1
 metadata:
   name: default
 spec:
@@ -11,7 +11,13 @@ spec:
     datasciencepipelines:
       managementState: Managed
     kserve:
-      managementState: Removed
+      managementState: Managed
+      serving:
+        ingressGateway:
+          certificate:
+            type: SelfSigned
+        managementState: Managed
+        name: knative-serving
     modelmeshserving:
       managementState: Managed
     ray:

rhods-operator/operator/base/namespace.yaml → openshift-ai/operator/base/namespace.yaml

@@ -2,7 +2,7 @@ apiVersion: v1
 kind: Namespace
 metadata:
   annotations:
-    openshift.io/display-name: "Red Hat OpenShift Data Science"
+    openshift.io/display-name: "Red Hat OpenShift AI"
   labels:
     openshift.io/cluster-monitoring: 'true'
   name: redhat-ods-operator

openshift-ai/operator/overlays/fast/patch-channel.yaml

@@ -0,0 +1,3 @@
+- op: replace
+  path: /spec/channel
+  value: fast

openshift-ai/operator/overlays/stable/kustomization.yaml

@@ -0,0 +1,11 @@
+apiVersion: kustomize.config.k8s.io/v1beta1
+kind: Kustomization
+
+resources:
+  - ../../base
+
+patches:
+  - target:
+      kind: Subscription
+      name: rhods-operator
+    path: patch-channel.yaml

rhods-operator

@@ -0,0 +1 @@
+openshift-ai