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								---
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								title: "Deploying to GCP"
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								---
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								# GCP setup guide
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								The following is a set of instructions to quickstart DataHub on GCP Google Kubernetes Engine (GKE). Note, the guide
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								assumes that you do not have a kubernetes cluster set up. If you are deploying DataHub to an existing cluster, please
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								skip the corresponding sections.
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								## Prerequisites
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								This guide requires the following tools:
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								- [kubectl](https://kubernetes.io/docs/tasks/tools/) to manage kubernetes resources
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								- [helm](https://helm.sh/docs/intro/install/) to deploy the resources based on helm charts. Note, we only support Helm
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								    3.
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								- [gcloud](https://cloud.google.com/sdk/docs/install) to manage GCP resources
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								Follow the
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								following [guide](https://cloud.google.com/kubernetes-engine/docs/how-to/creating-a-zonal-cluster#before_you_begin) to
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								correctly set up Google Cloud SDK.
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								After setting up, run `gcloud services enable container.googleapis.com` to make sure GKE service is enabled.
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								## Start up a kubernetes cluster on GKE
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								Let’s follow this [guide](https://cloud.google.com/kubernetes-engine/docs/how-to/creating-a-zonal-cluster) to create a
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								new cluster using gcloud. Run the following command with cluster-name set to the cluster name of choice, and zone set to
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								the GCP zone you are operating on.
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								```
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								gcloud container clusters create <<cluster-name>> \
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								    --zone <<zone>> \
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								    -m e2-standard-2
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								```
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								The command will provision a GKE cluster powered by 3 e2-standard-2 (2 CPU, 8GB RAM) nodes.
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								If you are planning to run the storage layer (MySQL, Elasticsearch, Kafka) as pods in the cluster, you need at least 3
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								nodes with the above specs. If you decide to use managed storage services, you can reduce the number of nodes or use
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								m3.medium nodes to save cost. Refer to
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								this [guide](https://cloud.google.com/kubernetes-engine/docs/how-to/creating-a-regional-cluster) for creating a regional
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								cluster for better robustness.
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								Run `kubectl get nodes` to confirm that the cluster has been setup correctly. You should get results like below
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								NAME                                     STATUS   ROLES    AGE   VERSION
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								gke-datahub-default-pool-e5be7c4f-8s97   Ready    <none>   34h   v1.19.10-gke.1600
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								gke-datahub-default-pool-e5be7c4f-d68l   Ready    <none>   34h   v1.19.10-gke.1600
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								gke-datahub-default-pool-e5be7c4f-rksj   Ready    <none>   34h   v1.19.10-gke.1600
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								## Setup DataHub using Helm
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								Once the kubernetes cluster has been set up, you can deploy DataHub and it’s prerequisites using helm. Please follow the
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								steps in this [guide](kubernetes.md)
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								## Expose endpoints using GKE ingress controller
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								Now that all the pods are up and running, you need to expose the datahub-frontend end point by setting
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								up [ingress](https://kubernetes.io/docs/concepts/services-networking/ingress/). Easiest way to set up ingress is to use
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								the GKE page on [GCP website](https://console.cloud.google.com/kubernetes/discovery).
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								Once all deploy is successful, you should see a page like below in the "Services & Ingress" tab on the left.
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								<p align="center">
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								  <img width="70%"  src="https://raw.githubusercontent.com/datahub-project/static-assets/main/imgs/gcp/services_ingress.png"/>
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								</p>
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								Tick the checkbox for datahub-datahub-frontend and click "CREATE INGRESS" button. You should land on the following page.
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								<p align="center">
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								  <img width="70%"  src="https://raw.githubusercontent.com/datahub-project/static-assets/main/imgs/gcp/ingress1.png"/>
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								</p>
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								Type in an arbitrary name for the ingress and click on the second step "Host and path rules". You should land on the
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								following page.
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								<p align="center">
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								  <img width="70%"  src="https://raw.githubusercontent.com/datahub-project/static-assets/main/imgs/gcp/ingress2.png"/>
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								</p>
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								Select "datahub-datahub-frontend" in the dropdown menu for backends, and then click on "ADD HOST AND PATH RULE" button.
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								In the second row that got created, add in the host name of choice (here gcp.datahubproject.io) and select
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								"datahub-datahub-frontend" in the backends dropdown.
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								This step adds the rule allowing requests from the host name of choice to get routed to datahub-frontend service. Click
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								on step 3 "Frontend configuration". You should land on the following page.
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								<p align="center">
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								  <img width="70%"  src="https://raw.githubusercontent.com/datahub-project/static-assets/main/imgs/gcp/ingress3.png"/>
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								</p>
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								Choose HTTPS in the dropdown menu for protocol. To enable SSL, you need to add a certificate. If you do not have one,
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								you can click "CREATE A NEW CERTIFICATE" and input the host name of choice. GCP will create a certificate for you.
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								Now press "CREATE" button on the left to create ingress! After around 5 minutes, you should see the following.
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								<p align="center">
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								  <img width="70%"  src="https://raw.githubusercontent.com/datahub-project/static-assets/main/imgs/gcp/ingress_ready.png"/>
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								</p>
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								In your domain provider, add an A record for the host name set above using the IP address on the ingress page (noted
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								with the red box). Once DNS updates, you should be able to access DataHub through the host name!!
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								Note, ignore the warning icon next to ingress. It takes about ten minutes for ingress to check that the backend service
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								is ready and show a check mark as follows. However, ingress is fully functional once you see the above page. 
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								<p align="center">
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