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fix(README): Update instructions to only use kustomize #1455

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Feb 13, 2024
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fix(README): Update instructions to only use kustomize #1455

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15 changes: 5 additions & 10 deletions guides/kfp_tekton_install.md
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Original file line number Diff line number Diff line change
Expand Up @@ -73,17 +73,12 @@ 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`) `v1.9.2` [custom resource definitions](https://kubernetes.io/docs/concepts/extend-kubernetes/api-extension/custom-resources/)(CRDs).
3. Install Kubeflow Pipelines with Tekton backend (`kfp-tekton`) `v1.9.2` deployment
```shell
kubectl apply --selector kubeflow/crd-install=true -f https://raw.githubusercontent.com/kubeflow/kfp-tekton/master/install/v1.9.2/kfp-tekton.yaml
kubectl apply -k https://github.com/kubeflow/kfp-tekton//manifests/kustomize/env/kfp-template\?ref\=v1.9.2
```

4. Install Kubeflow Pipelines with Tekton backend (`kfp-tekton`) `v1.9.2` deployment
```shell
kubectl apply -f https://raw.githubusercontent.com/kubeflow/kfp-tekton/master/install/v1.9.2/kfp-tekton.yaml
```

5. Then, if you want to expose the Kubeflow Pipelines endpoint outside the cluster, run the following commands:
4. 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"}}'
```
Expand All @@ -93,13 +88,13 @@ To install the standalone Kubeflow Pipelines V1 with Tekton , run the following
kubectl get svc ml-pipeline-ui -n kubeflow -o jsonpath='{.status.loadBalancer.ingress[0].ip}'
```

6. (GPU worker nodes only) If your Kubernetes cluster has a mixture of CPU and GPU worker nodes, it's recommended to disable the Tekton default affinity assistant so that Tekton won't schedule too many CPU workloads on the GPU nodes.
5. (GPU worker nodes only) If your Kubernetes cluster has a mixture of CPU and GPU worker nodes, it's recommended to disable the Tekton default affinity assistant so that Tekton won't schedule too many CPU workloads on the GPU nodes.
```shell
kubectl patch cm feature-flags -n tekton-pipelines \
-p '{"data":{"disable-affinity-assistant": "true"}}'
```

7. (OpenShift only) If you are running the standalone KFP-Tekton on OpenShift, apply the necessary security context constraint below
6. (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/v1.9.2/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
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