--- layout: default navsection: installguide title: Arvados on GKE ... {% comment %} Copyright (C) The Arvados Authors. All rights reserved. SPDX-License-Identifier: CC-BY-SA-3.0 {% endcomment %} This page documents setting up and running the "Arvados on Kubernetes":/install/arvados-on-kubernetes.html @Helm@ chart on @Google Kubernetes Engine@ (GKE). {% include 'notebox_begin_warning' %} This Helm chart does not retain any state after it is deleted. An Arvados cluster created with this Helm chart is entirely ephemeral, and all data stored on the cluster will be deleted when it is shut down. This will be fixed in a future version. {% include 'notebox_end' %} h2. Prerequisites h3. Install tooling Install @gcloud@: * Follow the instructions at "https://cloud.google.com/sdk/downloads":https://cloud.google.com/sdk/downloads Install @kubectl@:
$ gcloud components install kubectlInstall @helm@: * Follow the instructions at "https://docs.helm.sh/using_helm/#installing-helm":https://docs.helm.sh/using_helm/#installing-helm h3. Create the GKE cluster This can be done via the "cloud console":https://console.cloud.google.com/kubernetes/ or via the command line:
$ gcloud container clusters createIt takes a few minutes for the cluster to be initialized. h3. Reserve a static IP Reserve a "static IP":https://console.cloud.google.com/networking/addresses in GCE. Make sure the IP is in the same region as your GKE cluster, and is of the "Regional" type. h3. Connect to the GKE cluster. Via the web: * Click the "Connect" button next to your "GKE cluster"https://console.cloud.google.com/kubernetes/. * Execute the "Command-line access" command on your development machine. Alternatively, use this command:--zone us-central1-a --machine-type n1-standard-2 --cluster-version 1.15
$ gcloud container clusters get-credentialsTest the connection:--zone us-central1-a --project
$ kubectl get nodesTest @helm@ by running
$ helm lsThere should be no errors. The command will return nothing. h2(#git). Clone the repository Clone the repository and nagivate to the @arvados-k8s/charts/arvados@ directory:
$ git clone https://github.com/arvados/arvados-k8s.git $ cd arvados-k8s/charts/arvadosh2(#Start). Start the Arvados cluster Next, determine the IP address that the Arvados cluster will use to expose its API, Workbench, etc. If you want this Arvados cluster to be reachable from places other than the local machine, the IP address will need to be routable as appropriate.
$ ./cert-gen.shThe @values.yaml@ file contains a number of variables that can be modified. At a minimum, review and/or modify the values for
adminUserEmail adminUserPassword superUserSecret anonymousUserSecretNow start the Arvados cluster:
$ helm install arvados . --set externalIP=At this point, you can use kubectl to see the Arvados cluster boot:
$ kubectl get pods $ kubectl get svcAfter a few minutes, there shouldn't be any services listed with a 'Pending' external IP address. At that point you can access Arvados Workbench at the IP address specified * https://<IP ADDRESS> with the username and password specified in the @values.yaml@ file. Alternatively, use the Arvados cli tools or SDKs. First set the environment variables:
$ export ARVADOS_API_TOKEN=Test access with:$ export ARVADOS_API_HOST= :444 $ export ARVADOS_API_HOST_INSECURE=true
$ arv user currenth2(#reload). Reload If you make changes to the Helm chart (e.g. to @values.yaml@), you can reload Arvados with
$ helm upgrade arvados .h2. Shut down {% include 'notebox_begin_warning' %} This Helm chart does not retain any state after it is deleted. An Arvados cluster created with this Helm chart is entirely ephemeral, and all data stored on the Arvados cluster will be deleted when it is shut down. This will be fixed in a future version. {% include 'notebox_end' %}
$ helm del arvados
$ gcloud container clusters delete--zone us-central1-a