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++++
+title = "Pipelines Standalone Deployment in GCP"
+description = "Instructions to deploy Kubeflow Pipelines standalone to a cluster"
+weight = 15
++++
+
+As an alternative to [deploying Kubeflow](/docs/started/getting-started/#installing-kubeflow) as a
+whole with many components including pipelines, you also have a choice to deploy
+only Kubeflow Pipelines. Follow the instructions below to deploy
+Kubeflow Pipelines standalone using the supplied kustomize
+manifests.
+
+Knowledge about [Kubernetes](https://kubernetes.io/docs/home/), [kubectl](https://kubernetes.io/docs/reference/kubectl/overview/) and [kustomize](https://kustomize.io/) will help you understand this
+document better and be able to customize based on your needs.
+
+## Deploying Kubeflow Pipelines standalone to an existing cluster
+
+1. Deploy latest version of Kubeflow Pipelines:
+
+    ```
+    export PIPELINE_VERSION={{% kfp-latest-version %}}
+    kubectl apply -k github.com/kubeflow/pipelines//manifests/kustomize/env/dev?ref=$PIPELINE_VERSION
+    ```
+
+1. Get the URL for the Kubeflow Pipelines UI :
+
+    ```
+    kubectl describe configmap inverse-proxy-config -n kubeflow | grep googleusercontent.com
+    ```
+
+## Deploying Kubeflow Pipelines standalone from scratch
+
+1. Prepare a Kubernetes cluster:
+
+    You can reference [Creating a cluster](https://cloud.google.com/kubernetes-engine/docs/how-to/creating-a-cluster) for Google Cloud Platform (GCP).
+
+    Recommend using the following gcloud command to create a cluster that can run all pipeline samples:
+
+    ```
+    # The following parameters can be customized based on your needs.
+
+    CLUSTER_NAME="kubeflow-pipelines-standalone"
+    ZONE="us-central1-a"
+    MACHINE_TYPE="n1-standard-2" # A machine with 2 CPUs and 7.50GB memory
+    SCOPES="storage-rw,cloud-platform" # These scopes are needed for running some pipeline samples
+
+    gcloud container clusters create $CLUSTER_NAME \
+        --zone $ZONE \
+        --machine-type $MACHINE_TYPE \
+        --scopes $SCOPES \
+        --num-nodes 2 \
+        --max-nodes 5 \
+        --min-nodes 2 \
+        --enable-autoscaling
+    ```
+
+    Reference:
+
+    - You can find available zones in https://cloud.google.com/compute/docs/regions-zones/#available.
+    - Get gcloud CLI tool at https://cloud.google.com/sdk/gcloud/.
+    - Read `gcloud container clusters create` command documentation at https://cloud.google.com/sdk/gcloud/reference/container/clusters/create.
+
+1. Download kubectl CLI tool:
+
+    You can get kubectl from [its official doc](https://kubernetes.io/docs/tasks/tools/install-kubectl/).
+
+    You need kubectl version 1.14 or later, for native support of kustomize (the `kubectl apply -k` option you will see below).
+
+1. Configure kubectl to talk to your cluster:
+
+    You can reference [Configuring cluster access for kubectl](https://cloud.google.com/kubernetes-engine/docs/how-to/cluster-access-for-kubectl).
+
+1. Deploy latest version of Kubeflow Pipelines standalone to your cluster:
+
+    ```
+    export PIPELINE_VERSION={{% kfp-latest-version %}}
+    kubectl apply -k github.com/kubeflow/pipelines//manifests/kustomize/env/dev?ref=$PIPELINE_VERSION
+    ```
+
+    Kubeflow Pipelines applications take a while (~3 minutes) to start.
+
+1. Get public URL of Pipelines UI and use it to access Kubeflow Pipelines:
+    ```
+    kubectl describe configmap inverse-proxy-config -n kubeflow | grep googleusercontent.com
+    ```
+
+## Customization
+
+Customization can be done through kustomize [overlays](https://github.com/kubernetes-sigs/kustomize/blob/master/docs/glossary.md#overlay).
+
+Note - The instruction below assume you installed kubectl v1.14.0 or later, which has native support of kustomize.
+To get latest kubectl, visit [here](https://kubernetes.io/docs/tasks/tools/install-kubectl/)
+
+For the following instructions, first clone [Kubeflow Pipelines repo](https://github.com/kubeflow/pipelines),
+and use it as working directory.
+
+### Deploy on GCP with CloudSQL and Google Cloud Storage
+
+This is recommended for production environments. See
+[here](https://github.com/kubeflow/pipelines/tree/master/manifests/kustomize/env/gcp) for more details.
+
+### Change deployment namespace
+
+To deploy Kubeflow Pipelines standalone in namespace FOO:
+
+- Edit [dev/kustomization.yaml](https://github.com/kubeflow/pipelines/blob/master/manifests/kustomize/env/dev/kustomization.yaml)
+    or [gcp/kustomization.yaml](https://github.com/kubeflow/pipelines/blob/master/manifests/kustomize/env/gcp/kustomization.yaml)
+  namespace section to FOO.
+- Then run
+
+```
+kubectl apply -k manifests/kustomize/env/dev
+# Or the following if using GCP Cloud SQL + Google Cloud Storage
+# kubectl apply -k manifests/kustomize/env/gcp
+```
+
+### Disable the public endpoint
+
+By default, the deployment installs an [inverting proxy agent](https://github.com/google/inverting-proxy) that exposes a public URL. If you want to skip installing it,
+
+- Comment out the proxy component in the [kustomization.yaml](https://github.com/kubeflow/pipelines/blob/master/manifests/kustomize/base/kustomization.yaml).
+- Then run:
+
+```
+kubectl apply -k manifests/kustomize/env/dev
+# Or the following if using GCP Cloud SQL + Google Cloud Storage
+# kubectl apply -k manifests/kustomize/env/gcp
+```
+
+The UI is still accessible by port-forwarding:
+
+```
+kubectl port-forward -n kubeflow svc/ml-pipeline-ui 8080:80
+```
+
+and open http://localhost:8080/.
+
+## Uninstall
+
+You can uninstall Kubeflow Pipelines by running:
+
+```
+export PIPELINE_VERSION={{% kfp-latest-version %}}
+kubectl delete -k github.com/kubeflow/pipelines//manifests/kustomize/env/dev?ref=$PIPELINE_VERSION
+```
+
+Or if you deployed through kustomize:
+
+```
+kubectl delete -k manifests/kustomize/env/dev
+# Or the following if using GCP Cloud SQL + Google Cloud Storage
+# kubectl delete -k manifests/kustomize/env/gcp
+```
+
+## Troubleshooting
+
+### Permission error installing Kubeflow Pipelines standalone to a cluster
+
+Run:
+
+```
+kubectl create clusterrolebinding your-binding --clusterrole=cluster-admin --user=[your-user-name]
+```
+
+### Pipeline samples that require "user-gcp-sa" secret
+
+If sample pipeline requires a "user-gcp-sa" secret, you could create one by:
+
+- First download the GCE VM service account token [Document](https://cloud.google.com/iam/docs/creating-managing-service-account-keys#creating_service_account_keys):
+
+    ```
+    gcloud iam service-accounts keys create application_default_credentials.json \
+      --iam-account [SA-NAME]@[PROJECT-ID].iam.gserviceaccount.com
+    ```
+
+- Run:
+    ```
+    kubectl create secret -n [your-namespace] generic user-gcp-sa \
+      --from-file=user-gcp-sa.json=application_default_credentials.json
+    ```
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