Anaconda recommends that you connect to your external Postgres instance immediately after installation completes. If you do not, you will need to create a dump file from the internal Workbench Postgres instance, then import it into your own Postgres instance, ensuring that it mirrors the internal setup.
You can connect Workbench to your organization’s pre-existing Postgres instance for both BYOK8s and Gravity installations. Connecting to an external Postgres instance enables you to take advantage of multiple High Availability/Disaster Recovery (HA/DR) options your organization may already have in place. Workbench also supports connections to external Postgres instances that are hosted within the same overarching cluster environment. For example, your organization can have a multi-namespace/region deployment of Postgres within your Kubernetes cluster that connects to Workbench via the Service name. Combining this with dynamic block Persistent Storage and Managed Persistence enables Workbench to rapidly relocate deployed projects from failing nodes to healthy ones utilizing standard Kubernetes pod scheduling.

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Connecting to external Postgres

To connect to your external Postgres instance:
  1. Create a Workbench account with read/write access and set the account’s password.
  2. Open your anaconda-enterprise-anaconda-platform.yml file and edit the following section: 
    db: # Database client configuration
host: <IP/Hostname> # Database hostname
port: 5432
username: "<postgres-account>"
password: "<password>"
  3. Save your changes, then restart all pods: 
    kubectl get pods | grep ap- | cut -d' ' -f1 | xargs kubectl delete pods
  4. Once the pods are in a running state, confirm that the following databases have been created in Postgres. 
    anaconda_auth
anaconda_auth_escrow
anaconda_deploy
anaconda_git
anaconda_operation_controller
anaconda_repository
anaconda_storage
anaconda_ui
anaconda_workspace
    If a pod shows a crashloop state, inspect the pod’s logs. The most common cause of a crashloop state is a misconfiguration.
    If the anaconda_auth database is not created in Postgres, you must update the following environmental variables in the anaconda-enterprise-ap-auth deployment:
    # Replace <POSTGRES> with the hostname or service name of the Postgres instance
# Replace <POSTGRES-ACCOUNT> with the user account name for your Postgres instance
# Replace <PASSWORD> with the user account password for your Postgres instance

env:
  - name: WAIT_FOR_IT
    value: '<POSTGRES>:5432'
  - name: DB_USER
    value: <POSTGRES-ACCOUNT>
  - name: DB_PASSWORD
    value: <PASSWORD>
  - name: DB_ADDR
    value: <POSTGRES>