Datalore 2022.3 Help

Install on a Kubernetes cluster using Helm charts

The instructions in this article describe the installation of Datalore Enterprise in a Kubernetes cluster using Helm.

It is highly recommended that you have experience using the Kubernetes technology, particularly Helm. For the PoC purpose, we suggest trying the Docker-based installation.


Before installation, make sure that you have the following:

  • k8s cluster

  • Kubectl on your machine pointed to this cluster

  • Helm

This installation was tested with Kubernetes v1.22 and Helm v3.2.4, but other versions may work too.

Hardware requirements
  • Datalore server machine: 4GB of RAM (the number of CPU is irrelevant if the load is not high)

  • For every concurrently run notebook: from 4GB of RAM

Basic Datalore installation

Follow the instruction to install Datalore using Helm.

Install Datalore

  1. Add the Datalore Helm repository:

    $ helm repo add datalore
  2. Create a datalore.values.yaml file.

  3. In datalore.values.yaml, add a databaseSecret parameter to set up your database password. A random string is advised.

    databaseSecret: password: xxxx
  4. Configure your volumes. In datalore.values.yaml, add the following parameters:

    volumes: - name: storage ... - name: postgresql-data ...


    • storage: contains workbook data, such as attached files (UID:GID 5000:5000).

    • postgresql-data: contains PostgreSQL database data (UID:GID 999:999).

    Below are exemplary procedures of configuring your volumes:

    Configure hostPath volumes

    • Create directories:

      mkdir -p /data/postgresql mkdir -p /data/datalore chown 999:999 /data/postgresql chown 5000:5000 /data/datalore
    • Add to datalore.values.yaml:

      volumes: - name: postgresql-data hostPath: path: /data/postgresql type: Directory - name: storage hostPath: path: /data/datalore type: Directory

    Use volumeClaimTemplates

    If you set up volume auto-provisioning in Kubernetes, you can replace volumes with volumeClaimTemplates.

    volumeClaimTemplates: - metadata: name: storage spec: accessModes: - ReadWriteOnce resources: requests: storage: 10Gi - metadata: name: postgresql-data spec: accessModes: - ReadWriteOnce resources: requests: storage: 2Gi
  5. Run the following command and wait for Datalore to start up:

    helm install -f datalore.values.yaml datalore datalore/datalore --version 0.2.5
  6. Go to and sign up the first user. The first signed-up user will automatically receive admin rights.

  7. Click your avatar in the upper-right corner, select Admin panel | License and provide your license key.

    Opening Admin panel

Optional procedures

Run Datalore in a non-default namespace

  1. When running Datalore, specify the namespace:

    helm install -n <non_default_namespace> -f datalore.values.yaml datalore datalore/datalore --version 0.2.5
  2. (Optional) If you use a custom config, add the namespace under the agentsConfig key as shown in the code below:

    k8s: namespace: <non_default_namespace> instances: ...

Use an external postgres database

  1. Add two variables under dataloreEnv: database user and database URL.

    dataloreEnv: ... DB_USER: "<database_user>" DB_URL: "jdbc:postgresql://[database_host]:[database_port]/[database_name]"
  2. Set internalDatabase to false.

Last modified: 24 November 2022