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Install the Run:ai Control Plane

Create a Control Plane Configuration

Create a configuration file to install the Run:ai control plane:

Generate a values file by running: 

runai-adm generate-values \
    --external-ips <ip> \ # (1)
    --domain <dns-record> \ # (2) 
    --tls-cert <file-name>  --tls-key <file-name> \ # (3)  
    --nfs-server <nfs-server-address> --nfs-path <path-in-nfs>  # (4)

  1. An available, IP Address that is accessible from Run:ai Users' machines. Typically (but not always) the IP of one of the nodes.
  2. DNS A record such as runai.<company-name> or similar. The A record should point to the IP address above.
  3. TLS certificate and private key for the above domain.
  4. NFS server location where Run:ai can create files. For using alternative storage mechanisms see optional values below

Note

In cloud environments, the flag --external-ips should contain both the internal and external IPs (comma separated)

A file called runai-backend-values.yaml will be created.

Generate a values file by running the following under the deploy folder: 

runai-adm generate-values \
    --external-ips <ip> \ # (1)
    --domain <dns-record> \ # (2) 
    --tls-cert <file-name>  --tls-key <file-name> \ # (3)  
    --nfs-server <nfs-server-address> --nfs-path <path-in-nfs> \ # (4)
    --airgapped

  1. An available, IP Address that is accessible from Run:ai Users' machines. Typically (but not always) the IP of one of the nodes.
  2. DNS A record such as runai.<company-name> or similar. The A record should point to the IP address above.
  3. TLS certificate and private key for the above domain.
  4. NFS server location where Run:ai can create files. For using alternative storage mechanisms see optional values below

Ignore the message about a downloaded file.

Generate a values file by running the following under the deploy folder: 

runai-adm generate-values \
    --external-ips <ip> \ # (1)
    --domain <dns-record> \ # (2) 
    --tls-cert <file-name>  --tls-key <file-name> \ # (3)  
    --nfs-server <nfs-server-address> --nfs-path <path-in-nfs> \ # (4)
    --registry <docker-registry-address> #(5)

  1. An available, IP Address that is accessible from Run:ai Users' machines. Typically (but not always) the IP of one of the nodes.
  2. DNS A record such as runai.<company-name> or similar. The A record should point to the IP address above.
  3. TLS certificate and private key for the above domain.
  4. NFS server location where Run:ai can create files. For using alternative storage mechanisms see optional values below
  5. Docker Registry address in the form of NAME:PORT (do not add https):

Ignore the message about a downloaded file.

(Optional) Edit Configuration File

There may be cases where you need to change properties in the values file as follows:

Key Change Description
backend.initTenant.promProxy
and
grafana.datasources.datasources.yaml.datasources.url		 When using an existing Promethues service, replace this URL with the URL of the existing Prometheus service (obtain by running kubectl get svc on the Prometheus namespace) Internal URL to Promethues server
postgresql.persistence PostgreSQL permanent storage via a Persistent Volume. You can either use storageClassName to create a PV automatically or set nfs.server and nfs.path to provide the network file storage for the PV. The folder in the path should be pre-created and have full access rights. This key is now covered under the runai-adm flags above
nginx-ingress.controller.externalIPs <RUNAI_IP_ADDRESS> IP address allocated for Run:ai. This key is now covered under the runai-adm flags above
backend.https replace key and crt with public and private keys for runai.<company-name>. This key is now covered under the runai-adm flags above
thanos.receive.persistence Permanent storage for Run:ai metrics See Postgresql persistence above. Can use the same location. This key is now covered under the runai-adm flags above
backend.initTenant.admin Change password for admin@run.ai This user is the master Control Plane administrator

Upload images (Airgapped only)

Upload images to a local Docker Registry. Set the Docker Registry address in the form of NAME:PORT (do not add https):

export REGISTRY_URL=<Docker Registry address>

Run the following script (you must have at least 20GB of free disk space to run): 

sudo -E ./prepare_installation.sh

(If docker is configured to run as non-root then sudo is not required).

Install the Control Plane

Run the helm command below:

helm repo add runai-backend https://backend-charts.storage.googleapis.com
helm repo update
helm install runai-backend -n runai-backend runai-backend/runai-backend  \
    -f runai-backend-values.yaml

Info

To install a specific version, add --version <version> to the install command.

helm install runai-backend runai-backend-<version>.tgz -n \
    runai-backend -f runai-backend-values.yaml
(replace <version> with the Run:ai control plane version)

Tip

Use the --dry-run flag to gain an understanding of what is being installed before the actual installation.

Connect to Run:ai User Interface

Go to: runai.<company-name>. Log in using the default credentials: User: test@run.ai, Password: Abcd!234

(Optional) Enable "Forgot password"

To support the “Forgot password” functionality, follow the steps below.

  • Go to runai.<company-name>/auth and Log in.
  • Under Realm settings, select the Login tab and enable the Forgot password feature.
  • Under the Email tab, define an SMTP server, as explained here

Next Steps

Continue with installing a Run:ai Cluster.

Last update: 2022-11-24
Created: 2021-08-03