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chore(release): Add backend 1.6.5 release (#1214)
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Tomcli authored Apr 24, 2023
1 parent 6c5f7f7 commit 1bca355
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2 changes: 1 addition & 1 deletion Makefile
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# - The help target was derived from https://stackoverflow.com/a/35730328/5601796

VENV ?= .venv
KFP_TEKTON_RELEASE ?= v1.6.4
KFP_TEKTON_RELEASE ?= v1.6.5
export VIRTUAL_ENV := $(abspath ${VENV})
export PATH := ${VIRTUAL_ENV}/bin:${PATH}
DOCKER_REGISTRY ?= aipipeline
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2 changes: 1 addition & 1 deletion VERSION
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@@ -1 +1 @@
1.6.4
1.6.5
8 changes: 4 additions & 4 deletions guides/kfp_tekton_install.md
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Expand Up @@ -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`) `v1.6.4` [custom resource definitions](https://kubernetes.io/docs/concepts/extend-kubernetes/api-extension/custom-resources/)(CRDs).
3. Install Kubeflow Pipelines with Tekton backend (`kfp-tekton`) `v1.6.5` [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 https://raw.githubusercontent.com/kubeflow/kfp-tekton/master/install/v1.6.4/kfp-tekton.yaml
kubectl apply --selector kubeflow/crd-install=true -f https://raw.githubusercontent.com/kubeflow/kfp-tekton/master/install/v1.6.5/kfp-tekton.yaml
```
4. Install Kubeflow Pipelines with Tekton backend (`kfp-tekton`) `v1.6.4` deployment
4. Install Kubeflow Pipelines with Tekton backend (`kfp-tekton`) `v1.6.5` deployment
```shell
kubectl apply -f https://raw.githubusercontent.com/kubeflow/kfp-tekton/master/install/v1.6.4/kfp-tekton.yaml
kubectl apply -f https://raw.githubusercontent.com/kubeflow/kfp-tekton/master/install/v1.6.5/kfp-tekton.yaml
```
5. Then, if you want to expose the Kubeflow Pipelines endpoint outside the cluster, run the following commands:
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