Odh 2.11.0 release (opendatahub-io#985)

* Version update for odh 2.11

* [DO NOT MERGE] Test ODH v2.11

* Update description

Makefile

@@ -3,7 +3,7 @@
 # To re-generate a bundle for another specific version without changing the standard setup, you can:
 # - use the VERSION as arg of the bundle target (e.g make bundle VERSION=0.0.2)
 # - use environment variables to overwrite this value (e.g export VERSION=0.0.2)
-VERSION ?= 2.10.1
+VERSION ?= 2.11.0
 # IMAGE_TAG_BASE defines the opendatahub.io namespace and part of the image name for remote images.
 # This variable is used to construct full image tags for bundle and catalog images.
 #

config/manifests/bases/opendatahub-operator.clusterserviceversion.yaml

@@ -7,11 +7,11 @@ metadata:
     categories: AI/Machine Learning, Big Data
     certified: "False"
     containerImage: quay.io/opendatahub/opendatahub-operator:v2.10.0
-    createdAt: "2024-4-01T00:00:00Z"
-    olm.skipRange: '>=1.0.0 <2.10.0'
+    createdAt: "2024-4-22T00:00:00Z"
+    olm.skipRange: '>=1.0.0 <2.11.0'
     operators.operatorframework.io/internal-objects: '[dscinitialization.opendatahub.io]'
     repository: https://github.com/opendatahub-io/opendatahub-operator
-  name: opendatahub-operator.v2.10.0
+  name: opendatahub-operator.v2.11.0
   namespace: placeholder
 spec:
   apiservicedefinitions: {}
@@ -105,4 +105,4 @@ spec:
   selector:
     matchLabels:
       component: opendatahub-operator
-  version: 2.10.0
+  version: 2.11.0

config/manifests/description-patch.yml

@@ -16,5 +16,5 @@ spec:
     * Data Science Pipelines - Pipeline solution for end to end MLOps workflows that support the Kubeflow Pipelines SDK and Tekton
     * Model Mesh - ModelMesh Serving is the Controller for managing ModelMesh, a general-purpose model serving management/routing layer
     * Distributed Workloads(Incubation) - Stack built to make managing distributed compute infrastructure in the cloud easy and intuitive for Data Scientists. This stack consists of three components 
-                                          Codeflare , KubeRay and Kueue.
-    * Kserve - Kserve is the Controller for for serving machine learning (ML) models on arbitrary frameworks
+                                          Codeflare , KubeRay, Kueue and Training Operator(new component)
+    * Kserve - Kserve is the Controller for serving machine learning (ML) models on arbitrary frameworks

get_all_manifests.sh

@@ -6,20 +6,20 @@ GITHUB_URL="https://github.com/"
 # component: notebook, dsp, kserve, dashbaord, cf/ray/kueue/trainingoperator, trustyai, modelmesh, modelregistry.
 # in the format of "repo-org:repo-name:branch-name:source-folder:target-folder".
 declare -A COMPONENT_MANIFESTS=(
-    ["codeflare"]="opendatahub-io:codeflare-operator:main:config:codeflare"
-    ["ray"]="opendatahub-io:kuberay:dev:ray-operator/config:ray"
-    ["kueue"]="opendatahub-io:kueue:dev:config:kueue"
-    ["data-science-pipelines-operator"]="opendatahub-io:data-science-pipelines-operator:main:config:data-science-pipelines-operator"
-    ["odh-dashboard"]="opendatahub-io:odh-dashboard:incubation:manifests:dashboard"
-    ["kf-notebook-controller"]="opendatahub-io:kubeflow:v1.7-branch:components/notebook-controller/config:odh-notebook-controller/kf-notebook-controller"
-    ["odh-notebook-controller"]="opendatahub-io:kubeflow:v1.7-branch:components/odh-notebook-controller/config:odh-notebook-controller/odh-notebook-controller"
-    ["notebooks"]="opendatahub-io:notebooks:main:manifests:notebooks"
-    ["trustyai"]="trustyai-explainability:trustyai-service-operator:main:config:trustyai-service-operator"
-    ["model-mesh"]="opendatahub-io:modelmesh-serving:release-0.11.1:config:model-mesh"
-    ["odh-model-controller"]="opendatahub-io:odh-model-controller:release-0.12.0:config:odh-model-controller"
-    ["kserve"]="opendatahub-io:kserve:release-v0.11.1:config:kserve"
-    ["modelregistry"]="opendatahub-io:model-registry-operator:main:config:model-registry-operator"
-    ["trainingoperator"]="opendatahub-io:training-operator:dev:manifests:trainingoperator"
+    ["codeflare"]="opendatahub-io:codeflare-operator:v1.4.0-odh:config:codeflare"
+    ["ray"]="opendatahub-io:kuberay:v1.1.0-odh:ray-operator/config:ray"
+    ["kueue"]="opendatahub-io:kueue:v0.6.2-odh:config:kueue"
+    ["data-science-pipelines-operator"]="opendatahub-io:data-science-pipelines-operator:v2.1.0:config:data-science-pipelines-operator"
+    ["odh-dashboard"]="opendatahub-io:odh-dashboard:v2.22.1-incubation-release:manifests:dashboard"
+    ["kf-notebook-controller"]="opendatahub-io:kubeflow:v1.7.0-9:components/notebook-controller/config:odh-notebook-controller/kf-notebook-controller"
+    ["odh-notebook-controller"]="opendatahub-io:kubeflow:v1.7.0-9:components/odh-notebook-controller/config:odh-notebook-controller/odh-notebook-controller"
+    ["notebooks"]="opendatahub-io:notebooks:v1.17.0-1:manifests:notebooks"
+    ["trustyai"]="trustyai-explainability:trustyai-service-operator:release/1.19.0:config:trustyai-service-operator"
+    ["model-mesh"]="opendatahub-io:modelmesh-serving:v0.11.1.3:config:model-mesh"
+    ["odh-model-controller"]="opendatahub-io:odh-model-controller:v0.11.1.3:config:odh-model-controller"
+    ["kserve"]="opendatahub-io:kserve:v0.11.1.3:config:kserve"
+    ["modelregistry"]="opendatahub-io:model-registry-operator:v0.1.4:config:model-registry-operator"
+    ["trainingoperator"]="opendatahub-io:training-operator:v1.8.0-odh:manifests:trainingoperator"
 )
 
 # Allow overwriting repo using flags component=repo