Skip to content

Planning for Disaster Recovery

The SaaS version of Run:AI moves the bulk of the burden of disaster recovery to Run:AI. With the self-hosted version, it is the responsibility of IT to prepare for possible disasters.

The purpose of this document is to detail the required preparations to recover.



Run:AI uses an internal PostgreSQL database. The database is stored on a Kubernetes Persistent Volume (PV). You must provide a backup solution for the database.


  • (Recommended) Back up the PV.
  • Use the company's enterprise PostgreSQL solution if exists, instead of the in-place instance that Run:AI spawns.


Run:AI stores metric history using Thanos. Thanos is configured to store data on a persistent volume. The recommendation is to back up the PV.

Additional Configuration

During the installation of Run:AI you have created two value files, one for the backend (see kubernetes or OpenShift) and one for the cluster (see kubernetes or OpenShift). You will want to save these file, or extract a current version of the file by using the upgrade script.

Administrators may also create templates. Templates are stored as ConfigMaps in the runai namespace.


To recover Run:AI

  • Re-create the Kubernetes/OpenShift cluster.
  • Recover the persistent volumes for metrics and database.
  • Re-install the Run:AI backend. Use the stored values file. If needed, modify the values file to connect to the restored PostgreSQL PV. Connect Prometheus to the stored metrics PV.
  • Re-install the cluster. Use the stored values file or download a new file from the Administration UI.
  • If the cluster is configured such that Projects do not create namespace automatically, you will need to re-create namespaces and apply role bindings as discussed in kubernetes or OpenShift.

Last update: October 14, 2021