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Deploy on Google Cloud Platform
This tutorial provides an overview of the steps involved in setting up a CRE on Google cloud platform using command-line.
Note: Please follow Starting a PhenoMeNal CRE on a public or private cloud provider for the general prerequisites for a deployment on a private of public cloud provider.
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You have enabled the Google Compute Engine API: API Manager > Library > Compute Engine API > Enable
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You have created and downloaded a service account file for your GCE project: Api manager > Credentials > Create credentials > Service account key
All of the commands in this documentation are meant to be run in the config directory created by the command below.
Start by creating a configuration directory:
kn --preset phenomenal init gce my-vre-config-dir
cd my-vre-config-dir
Inside this configuration directory you will need to edit the file config.tfvars
where you will need to set:
Cluster
-
cluster_prefix
: every resource in your tenancy will be named with this prefix -
gce_credentials_file
: path to your service account file -
gce_region
: the zone for your project (e.g.europe-west1-b
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gce_project
: your project id
Master configuration
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master_flavor
: an instance flavor for the master -
master_as_edge
: master is acting as gateway for accessing services
Node configuration
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node_count
: number of Kubernetes nodes to be created (no floating IP is needed for these nodes) -
node_flavor
: an instance flavor name for the Kubernetes nodes
Gluster configuration
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glusternode_count
: number of egde nodes to be created (1 - 3 depending on preferred replication factor) -
glusternode_flavor
: an instance flavor for the glusternodes -
glusternode_extra_disk_size
: disk size of the fileserver size in GB
Edge configuration (optional)
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edge_count
: number of egde nodes to be created -
edge_iflavor
: an instance flavor for the edge nodes
Cloudflare (optional) - See: KubeNow Cloudflare documentation.
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use_cloudflare
: wether you want to use cloudflare as dns provider -
cloudflare_email
: the mail that you used to register your Cloudflare account -
cloudflare_token
: an authentication token that you can generate from the Cloudflare web interface -
cloudflare_domain
: a zone that you created in your Cloudflare account. This typically matches your domain name (e.g. somedomain.com)
Galaxy - (In the provision
sub-section of the config.tfvars config file)
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galaxy_admin_email
: the local galaxy admin (you?) -
galaxy_admin_password
: min 6 characters admin password
Jupyter - (In the provision
sub-section of the config.tfvars config file)
In the provision-section of the config.tfvars config file
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jupyter_password
: password for your notebook
Kubernetes dashboard - (In the provision
sub-section of the config.tfvars config file)
In the provision-section of the config.tfvars config file
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dashboard_username
: username to access your kubernetes dashboard -
dashboard_password
: password for your kubernetes dashboard
Pachyderm + Minio (optional) - See: Pachyderm tutorial with MTBLS data
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pachyderm_release_name
: a release name for the Pachyderm service -
pachyderm_etcd_pvc_size
: storage dedicated for etcd (In GB) -
minio_release_name
: release name for the Minio service -
minio_pvc_size
: storage dedicated for the Minio service (In GB) -
minio_accesskey
: access key for the S3 endpoint -
minio_secretkey
: secret key for the S3 endpoint -
minio_replicas
: number of replicas of the Minio service
Once you are done with your settings you are ready to deploy the cluster:
kn apply
when deployment is finished then you should be able to reach the services at:
Galaxy = http://galaxy.<your-prefix>.<yourdomain>
Jupyter = http://notebook.<your-prefix>.<yourdomain>
Luigi = http://luigi.<your-prefix>.<yourdomain>
Kube-dashboard = http://dashboard.<your-prefix>.<yourdomain>
Pachyderm = ssh into the master node and use pachctl. Pachyderm tutorial: https://github.com/phnmnl/MTBLS233-Pachyderm
and if you want to ssh into the master node:
kn ssh
and to destroy use:
kn destroy
Funded by the EC Horizon 2020 programme, grant agreement number 654241 |
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