Add 0.7.0 release template (#479)

* add 0.7.0 release template

* remove manifest headers to be consistent

* remove extra empty line

* update the missing version to 0.7.0

* move custom controller to tekton-pipelines for consistency

* generate kfp 1.4.0 yaml

Makefile

@@ -16,7 +16,7 @@
 #  - The help target was derived from https://stackoverflow.com/a/35730328/5601796
 
 VENV ?= .venv
-KFP_TEKTON_RELEASE ?= v0.6.0
+KFP_TEKTON_RELEASE ?= v0.7.0
 export VIRTUAL_ENV := $(abspath ${VENV})
 export PATH := ${VIRTUAL_ENV}/bin:${PATH}
 DOCKER_REGISTRY ?= aipipeline

VERSION

@@ -1 +1 @@
-0.6.0
+0.7.0

guides/kfp_tekton_install.md

@@ -35,18 +35,24 @@ To install the standalone Kubeflow Pipelines with Tekton, run the following step
 
 1. Install [Tekton v0.21.0](https://github.com/tektoncd/pipeline/releases/tag/v0.21.0)
 
-2. Install Kubeflow Pipelines with Tekton backend (`kfp-tekton`) `v0.6.0` [custom resource definitions](https://kubernetes.io/docs/concepts/extend-kubernetes/api-extension/custom-resources/)(CRDs).
+2. Enable custom task for pipeline loops and other feature flags for kfp-tekton
+   ```shell
+    kubectl patch cm feature-flags -n tekton-pipelines \
+        -p '{"data":{"disable-home-env-overwrite":"true","disable-working-directory-overwrite":"true", "enable-custom-tasks": "true"}}'
+   ```
+
+3. Install Kubeflow Pipelines with Tekton backend (`kfp-tekton`) `v0.7.0` [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/v0.6.0/kfp-tekton.yaml
+    kubectl apply --selector kubeflow/crd-install=true -f install/v0.7.0/kfp-tekton.yaml
     ```
 
-3. Install Kubeflow Pipelines with Tekton backend (`kfp-tekton`) `v0.6.0` deployment
+4. Install Kubeflow Pipelines with Tekton backend (`kfp-tekton`) `v0.7.0` deployment
     ```shell
-    kubectl apply -f install/v0.6.0/kfp-tekton.yaml
+    kubectl apply -f install/v0.7.0/kfp-tekton.yaml
     ```
 
-4. Then, if you want to expose the Kubeflow Pipelines endpoint outside the cluster, run the following commands:
+5. Then, if you want to expose the Kubeflow Pipelines endpoint outside the cluster, run the following commands:
     ```shell
     kubectl patch svc ml-pipeline-ui -n kubeflow -p '{"spec": {"type": "LoadBalancer"}}'
     ```