chore(release): Add backend 1.6.4 release (#1203)

Makefile

@@ -16,7 +16,7 @@
 #  - The help target was derived from https://stackoverflow.com/a/35730328/5601796
 
 VENV ?= .venv
-KFP_TEKTON_RELEASE ?= v1.6.3
+KFP_TEKTON_RELEASE ?= v1.6.4
 export VIRTUAL_ENV := $(abspath ${VENV})
 export PATH := ${VIRTUAL_ENV}/bin:${PATH}
 DOCKER_REGISTRY ?= aipipeline

README.md

@@ -15,7 +15,7 @@ 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 >= 0.44.0](https://github.com/tektoncd/pipeline/releases/tag/v0.44.0)
+[Tekton >= 0.44.2](https://github.com/tektoncd/pipeline/releases/tag/v0.44.2)
 for this project.
 
 ![kfp-tekton](images/kfp-tekton.png)

VERSION

@@ -1 +1 @@
-1.6.3
+1.6.4

guides/kfp_tekton_install.md

@@ -41,10 +41,10 @@ A Kubernetes cluster `v1.23` that has least 8 vCPU and 16 GB memory.
 
 To install the standalone Kubeflow Pipelines with Tekton, run the following steps:
 
-1. Install [Tekton v0.44.0](https://github.com/tektoncd/pipeline/blob/v0.44.0/docs/install.md#installing-tekton-pipelines-on-kubernetes) if you don't have Tekton pipelines or OpenShift Pipelines on the cluster. Please be aware that Tekton custom task, loop, and recursion will not work if Tekton/Openshift pipelines version is not v0.28.0+.
+1. Install [Tekton v0.44.2](https://github.com/tektoncd/pipeline/blob/v0.44.2/docs/install.md#installing-tekton-pipelines-on-kubernetes) if you don't have Tekton pipelines or OpenShift Pipelines on the cluster. Please be aware that Tekton custom task, loop, and recursion will not work if Tekton/Openshift pipelines version is not v0.28.0+.
 
    ```shell
-   kubectl apply -f https://storage.googleapis.com/tekton-releases/pipeline/previous/v0.44.0/release.yaml
+   kubectl apply -f https://storage.googleapis.com/tekton-releases/pipeline/previous/v0.44.2/release.yaml
    ```
 
 2. Enable custom task controller and other feature flags for kfp-tekton
@@ -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`) `v1.6.3` [custom resource definitions](https://kubernetes.io/docs/concepts/extend-kubernetes/api-extension/custom-resources/)(CRDs).
+3. Install Kubeflow Pipelines with Tekton backend (`kfp-tekton`) `v1.6.4` [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/v1.6.3/kfp-tekton.yaml
+    kubectl apply --selector kubeflow/crd-install=true -f https://raw.githubusercontent.com/kubeflow/kfp-tekton/master/install/v1.6.4/kfp-tekton.yaml
     ```
 
-4. Install Kubeflow Pipelines with Tekton backend (`kfp-tekton`) `v1.6.3` deployment
+4. Install Kubeflow Pipelines with Tekton backend (`kfp-tekton`) `v1.6.4` deployment
     ```shell
-    kubectl apply -f https://raw.githubusercontent.com/kubeflow/kfp-tekton/master/install/v1.6.3/kfp-tekton.yaml
+    kubectl apply -f https://raw.githubusercontent.com/kubeflow/kfp-tekton/master/install/v1.6.4/kfp-tekton.yaml
     ```
 
 5. Then, if you want to expose the Kubeflow Pipelines endpoint outside the cluster, run the following commands:

manifests/kustomize/base/cache/kustomization.yaml

@@ -11,4 +11,4 @@ commonLabels:
 images:
   - name: gcr.io/ml-pipeline/cache-server
     newName: quay.io/aipipeline/cache-server
-    newTag: 1.6.3
+    newTag: 1.6.4

manifests/kustomize/base/pipeline/kustomization.yaml

@@ -42,20 +42,20 @@ patches:
 images:
   - name: gcr.io/ml-pipeline/api-server
     newName: quay.io/aipipeline/api-server
-    newTag: 1.6.3
+    newTag: 1.6.4
   - name: gcr.io/ml-pipeline/persistenceagent
     newName: quay.io/aipipeline/persistenceagent
-    newTag: 1.6.3
+    newTag: 1.6.4
   - name: gcr.io/ml-pipeline/scheduledworkflow
     newName: quay.io/aipipeline/scheduledworkflow
-    newTag: 1.6.3
+    newTag: 1.6.4
   - name: gcr.io/ml-pipeline/frontend
     newName: quay.io/aipipeline/frontend
-    newTag: 1.6.3
+    newTag: 1.6.4
   - name: gcr.io/ml-pipeline/viewer-crd-controller
     newTag: 1.8.4
   - name: gcr.io/ml-pipeline/visualization-server
     newTag: 1.8.4
   - name: gcr.io/ml-pipeline/metadata-writer
     newName: quay.io/aipipeline/metadata-writer
-    newTag: 1.6.3
+    newTag: 1.6.4

manifests/kustomize/third-party/tekton-custom-task/kustomization.yaml

@@ -8,6 +8,6 @@ namespace: tekton-pipelines
 
 images:
   - name: quay.io/aipipeline/pipelineloop-controller
-    newTag: 1.6.3
+    newTag: 1.6.4
   - name: quay.io/aipipeline/pipelineloop-webhook
-    newTag: 1.6.3
+    newTag: 1.6.4

sdk/README.md

@@ -62,7 +62,7 @@ adding the `TektonCompiler` and the `TektonClient`:
 ## Project Prerequisites
 
  - Python: `3.7` or later
- - Tekton: [`v0.44.0`](https://github.com/tektoncd/pipeline/releases/tag/v0.44.0) or [later](https://github.com/tektoncd/pipeline/releases/latest)
+ - Tekton: [`v0.44.2`](https://github.com/tektoncd/pipeline/releases/tag/v0.44.2) or [later](https://github.com/tektoncd/pipeline/releases/latest)
  - Tekton CLI: [`0.29.1`](https://github.com/tektoncd/cli/releases/tag/v0.29.1)
  - Kubeflow Pipelines: [KFP with Tekton backend](/guides/kfp_tekton_install.md)