chore(release): Add 1.6.3 backend and 1.6.4 sdk release (#1196)

* add 1.6.3 backend and 1.6.4 sdk release * add 1.6.3 release yaml
kubeflow · Mar 22, 2023 · 70533aa · 70533aa
1 parent fd1f6e5
commit 70533aa
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diff --git a/Makefile b/Makefile
@@ -16,7 +16,7 @@
 #  - The help target was derived from https://stackoverflow.com/a/35730328/5601796
 
 VENV ?= .venv
-KFP_TEKTON_RELEASE ?= v1.6.2
+KFP_TEKTON_RELEASE ?= v1.6.3
 export VIRTUAL_ENV := $(abspath ${VENV})
 export PATH := ${VIRTUAL_ENV}/bin:${PATH}
 DOCKER_REGISTRY ?= aipipeline

diff --git a/VERSION b/VERSION
@@ -1 +1 @@
-1.6.2
+1.6.3
diff --git a/guides/kfp_tekton_install.md b/guides/kfp_tekton_install.md
@@ -53,15 +53,15 @@ To install the standalone Kubeflow Pipelines with Tekton, run the following step
          -p '{"data":{"default-timeout-minutes": "0"}}'
    ```
 
-3. Install Kubeflow Pipelines with Tekton backend (`kfp-tekton`) `v1.6.2` [custom resource definitions](https://kubernetes.io/docs/concepts/extend-kubernetes/api-extension/custom-resources/)(CRDs).
+3. Install Kubeflow Pipelines with Tekton backend (`kfp-tekton`) `v1.6.3` [custom resource definitions](https://kubernetes.io/docs/concepts/extend-kubernetes/api-extension/custom-resources/)(CRDs).
    > Note: You can ignore the error `no matches for kind "Application" in version "app.k8s.io/v1beta1"` since it's a warning saying `application` CRD is not yet ready.
     ```shell
-    kubectl apply --selector kubeflow/crd-install=true -f install/v1.6.2/kfp-tekton.yaml
+    kubectl apply --selector kubeflow/crd-install=true -f https://raw.githubusercontent.com/kubeflow/kfp-tekton/master/install/v1.6.3/kfp-tekton.yaml
     ```
 
-4. Install Kubeflow Pipelines with Tekton backend (`kfp-tekton`) `v1.6.2` deployment
+4. Install Kubeflow Pipelines with Tekton backend (`kfp-tekton`) `v1.6.3` deployment
     ```shell
-    kubectl apply -f install/v1.6.2/kfp-tekton.yaml
+    kubectl apply -f https://raw.githubusercontent.com/kubeflow/kfp-tekton/master/install/v1.6.3/kfp-tekton.yaml
     ```
 
 5. Then, if you want to expose the Kubeflow Pipelines endpoint outside the cluster, run the following commands: