chore(release): Add kfp-tekton 1.8.1 release (#1385)

* add kfp-tekton 1.8.1 release

* update install docs

Makefile

@@ -16,7 +16,7 @@
 #  - The help target was derived from https://stackoverflow.com/a/35730328/5601796
 
 VENV ?= .venv
-KFP_TEKTON_RELEASE ?= v1.8.0
+KFP_TEKTON_RELEASE ?= v1.8.1
 export VIRTUAL_ENV := $(abspath ${VENV})
 export PATH := ${VIRTUAL_ENV}/bin:${PATH}
 DOCKER_REGISTRY ?= aipipeline

README.md

@@ -16,11 +16,11 @@ For more details about the project please follow this detailed [blog post](https
 ## Architecture
 
 We are currently using [Kubeflow Pipelines 1.8.4](https://github.com/kubeflow/pipelines/releases/tag/1.8.4) and
-[Tekton >= 0.50.1](https://github.com/tektoncd/pipeline/releases/tag/v0.50.1)
+[Tekton >= 0.50.2](https://github.com/tektoncd/pipeline/releases/tag/v0.50.2)
 for this project.
 
-For [Kubeflow Pipelines 2.0.0](https://github.com/kubeflow/pipelines/releases/tag/2.0.0) and
-[Tekton >= 0.47.3](https://github.com/tektoncd/pipeline/releases/tag/v0.47.3)
+For [Kubeflow Pipelines 2.0.2](https://github.com/kubeflow/pipelines/releases/tag/2.0.2) and
+[Tekton >= 0.47.4](https://github.com/tektoncd/pipeline/releases/tag/v0.47.4)
 integration, please check out the [kfp-tekton v2-integration](https://github.com/kubeflow/kfp-tekton/tree/v2-integration) branch instead.
 
 ![kfp-tekton](images/kfp-tekton.png)

VERSION

@@ -1 +1 @@
-1.8.0
+1.8.1

guides/kfp_tekton_install.md

@@ -38,7 +38,7 @@ A Kubernetes cluster `v1.25` that has least 8 vCPU and 16 GB memory.
 
    If you want to deploy locally on [KIND](https://kind.sigs.k8s.io/docs/user/quick-start/#installation), you can run the kubectl Kustomization command below
    ```bash
-   kubectl apply -k https://github.com/kubeflow/kfp-tekton//manifests/kustomize/env/platform-agnostic-kind\?ref\=v1.8.0
+   kubectl apply -k https://github.com/kubeflow/kfp-tekton//manifests/kustomize/env/platform-agnostic-kind\?ref\=v1.8.1
    ```
 
 ### Compatibility Map
@@ -57,7 +57,7 @@ Each new KFP-Tekton version is based on the long-term support of the Tekton Pipe
 
 To install the standalone Kubeflow Pipelines V1 with Tekton , run the following steps:
 
-1. Install [Tekton v0.50.1](https://github.com/tektoncd/pipeline/blob/v0.50.1/docs/install.md#installing-tekton-pipelines-on-kubernetes) if you don't have Tekton pipelines on the cluster. Please be aware that Tekton custom task, loop, and recursion will not work if Tekton pipelines version is not v0.50.0+.
+1. Install [Tekton v0.50.2](https://github.com/tektoncd/pipeline/blob/v0.50.2/docs/install.md#installing-tekton-pipelines-on-kubernetes) if you don't have Tekton pipelines on the cluster. Please be aware that Tekton custom task, loop, and recursion will not work if Tekton pipelines version is not v0.50.2+.
 
    ```shell
    kubectl apply -f https://storage.googleapis.com/tekton-releases/pipeline/previous/v0.50.1/release.yaml
@@ -71,14 +71,14 @@ To install the standalone Kubeflow Pipelines V1 with Tekton , run the following
          -p '{"data":{"default-timeout-minutes": "0"}}'
    ```
 
-3. Install Kubeflow Pipelines with Tekton backend (`kfp-tekton`) `v1.8.0` [custom resource definitions](https://kubernetes.io/docs/concepts/extend-kubernetes/api-extension/custom-resources/)(CRDs).
+3. Install Kubeflow Pipelines with Tekton backend (`kfp-tekton`) `v1.8.1` [custom resource definitions](https://kubernetes.io/docs/concepts/extend-kubernetes/api-extension/custom-resources/)(CRDs).
     ```shell
-    kubectl apply --selector kubeflow/crd-install=true -f https://raw.githubusercontent.com/kubeflow/kfp-tekton/master/install/v1.8.0/kfp-tekton.yaml
+    kubectl apply --selector kubeflow/crd-install=true -f https://raw.githubusercontent.com/kubeflow/kfp-tekton/master/install/v1.8.1/kfp-tekton.yaml
     ```
 
-4. Install Kubeflow Pipelines with Tekton backend (`kfp-tekton`) `v1.8.0` deployment
+4. Install Kubeflow Pipelines with Tekton backend (`kfp-tekton`) `v1.8.1` deployment
     ```shell
-    kubectl apply -f https://raw.githubusercontent.com/kubeflow/kfp-tekton/master/install/v1.8.0/kfp-tekton.yaml
+    kubectl apply -f https://raw.githubusercontent.com/kubeflow/kfp-tekton/master/install/v1.8.1/kfp-tekton.yaml
     ```
 
 5. Then, if you want to expose the Kubeflow Pipelines endpoint outside the cluster, run the following commands:
@@ -99,7 +99,7 @@ To install the standalone Kubeflow Pipelines V1 with Tekton , run the following
 
 7. (OpenShift only) If you are running the standalone KFP-Tekton on OpenShift, apply the necessary security context constraint below
    ```shell
-   curl -L https://raw.githubusercontent.com/kubeflow/kfp-tekton/master/install/v1.8.0/kfp-tekton.yaml | yq 'del(.spec.template.spec.containers[].securityContext.runAsUser, .spec.template.spec.containers[].securityContext.runAsGroup)' | oc apply -f -
+   curl -L https://raw.githubusercontent.com/kubeflow/kfp-tekton/master/install/v1.8.1/kfp-tekton.yaml | yq 'del(.spec.template.spec.containers[].securityContext.runAsUser, .spec.template.spec.containers[].securityContext.runAsGroup)' | oc apply -f -
    oc apply -k https://github.com/kubeflow/kfp-tekton//manifests/kustomize/third-party/openshift/standalone
    oc adm policy add-scc-to-user anyuid -z tekton-pipelines-controller
    oc adm policy add-scc-to-user anyuid -z tekton-pipelines-webhook
@@ -179,7 +179,7 @@ To install the standalone Kubeflow Pipelines with Openshift Pipelines, run the f
 
 1. Follow the [Kubeflow install instructions](https://www.kubeflow.org/docs/ibm/deploy/install-kubeflow-on-iks/#kubeflow-installation)
    to install the entire Kubeflow stack with `kfp-tekton`.
-   Kubeflow `v1.8.0` uses Tekton `v0.47.3` and `kfp-tekton` `v2.0.0` or `v1.7.1`. <!-- TODO update-->
+   Kubeflow `v1.8.0` uses Tekton `v0.47.3` and `kfp-tekton` `v2.0.1` or `v1.7.1`. <!-- TODO update-->
 
 2. Visit [KFP Tekton User Guide](/guides/kfp-user-guide) and start learning how to use Kubeflow pipeline.