Playing games on a local machine can be pretty slow. One way to speed up playing games is to run Minigo on many computers simultaneously. Minigo was originally trained by containerizing these worker jobs and running them on a Kubernetes cluster, hosted on the Google Cloud Platform.

NOTE These commands will result in VMs and other GCP resources being created and will result in charges to your GCP account! Proceed with care!

Make sure you have the following command line tools:

• gcloud
• gsutil (via gcloud components install gsutil)
• kubectl (via gcloud components install kubectl)
• docker

And the Python kubernetes-client

pip install kubernetes

Next, make sure you have a Google Cloud Project with GKE Enabled

Make sure you have the following permissions:

• storage.bucket.(create, get, setIamPolicy) ("Storage Admin")
• storage.objects.(create, delete, get, list, update) ("Storage Object Admin")
• iam.serviceAccounts.create ("Service Account Admin")
• iam.serviceAccountKeys.create ("Service Account Key Admin")
• iam.serviceAccounts.actAs ("Service Account User")
• resourcemanager.projects.setIamPolicy ("Project IAM Admin")
• container.clusters.create ("Kubernetes Engine Cluster Admin")
• container.secrets.create ("Kubernetes Engine Developer")

Before doing anything else, set any environment variables you need by doing:

export VAR_NAME=blah

For example: if you would like to override the GCP Project or image tag, you can set:

export PROJECT=my-project
export VERSION_TAG=0.12.34
export BOARD_SIZE=19

After you've done that, source the defaults:

source common.sh

To reset your environment variables:

source unset_common.sh