Wallaroo Prerequisites Guide

Software and other local system requirements before installing Wallaroo

General Time to Completion: 30 minutes.

Before installing Wallaroo version, verify that the following hardware and software requirements are met.

Environment Requirements

Environment Hardware Requirements

The following system requirements are required for the minimum settings for running Wallaroo in a Kubernetes cloud cluster.

The following system requirements are required for the minimum settings for running Wallaroo in a Kubernetes cloud cluster.

  • Minimum number of nodes: 4
  • Minimum Number of CPU Cores: 8
  • Minimum RAM per node: 16 GB
  • Minimum Storage: A total of 625 GB of storage will be allocated for the entire cluster based on 5 users with up to four pipelines with five steps per pipeline, with 50 GB allocated per node, including 50 GB specifically for the Jupyter Hub service. Enterprise users who deploy additional pipelines will require an additional 50 GB of storage per lab node deployed.

Wallaroo recommends at least 16 cores total to enable all services. At less than 16 cores, services will have to be disabled to allow basic functionality as detailed in this table.

Note that even when disabling these services, Wallaroo performance may be impacted by the models, pipelines, and data used. The greater the size of the models and steps in a pipeline, the more resources will be required for Wallaroo to operate efficiently. Pipeline resources are set by the pipeline configuration to control how many resources are allocated from the cluster to maintain peak effectiveness for other Wallaroo services. See the following guides for more details.

Cluster Size 8 core16 core32 coreDescription
Inference The Wallaroo inference engine that performs inference requests from deployed pipelines.
Dashboard The graphics user interface for configuring workspaces, deploying pipelines, tracking metrics, and other uses.
Jupyter HUB/LabThe JupyterHub service for running Python scripts, JupyterNotebooks, and other related tasks within the Wallaroo instance.
Single Lab
Multiple Labs
PrometheusUsed for collecting and reporting on metrics. Typical metrics are values such as CPU utilization and memory usage.
Model Validation 
Dashboard Graphs 
PlateauA Wallaroo developed service for storing inference logs at high speed. This is not a long term service; organizations are encouraged to store logs in long term solutions if required.
Model Insights 
Python API 
Model ConversionConverts models into a native runtime for use with the Wallaroo inference engine.

To install Wallaroo with minimum services, a configuration file will be used as parts of the kots based installation. For full details on the Wallaroo installation process, see the Wallaroo Install Guides.

Enterprise Network Requirements

The following network requirements are required for the minimum settings for running Wallaroo:

  • For Wallaroo Enterprise users: 200 IP addresses are required to be allocated per cloud environment.

  • For Wallaroo Community users: 98 IP addresses are required to be allocated per cloud environment.

  • DNS services integration is required for Wallaroo Enterprise edition. See the DNS Integration Guide for the instructions on configuring Wallaroo Enterprise with your DNS services.

    DNS services integration is required to provide access to the various supporting services that are part of the Wallaroo instance. These include:

    • Simplified user authentication and management.
    • Centralized services for accessing the Wallaroo Dashboard, Wallaroo SDK and Authentication.
    • Collaboration features allowing teams to work together.
    • Managed security, auditing and traceability.

Environment Software Requirements

The following software or runtimes are required for Wallaroo 2023.2.1. Most are automatically available through the supported cloud providers.

Software or RuntimeDescriptionMinimum Supported VersionPreferred Version(s)
KubernetesCluster deployment management1.231.25
containerdContainer Management1.
kubectlKubernetes administrative console application1.261.26

Node Selectors

Wallaroo uses different nodes for various services, which can be assigned to a different node pool to contain resources separate from other nodes. The following nodes selectors can be configured:

  • ML Engine node selector
  • ML Engine Load Balance node selector
  • Database Node Selector
  • Grafana node selector
  • Prometheus node selector
  • Each Lab * Node Selector

  • For Kots based installs:

Cost Calculators

Organizations that intend to install Wallaroo into a Cloud environment can obtain an estimate of environment costs. The Wallaroo Install Guides list recommended virtual machine types and other settings that can be used to calculate costs for the environment.

For more information, see the pricing calculators for the following cloud services:

Kubernetes Admin Requirements

Before installing Wallaroo, the administrative node managing the Kubernetes cluster will require these tools.

The following are quick guides on how to install kubectl and kots to install and perform updates to Wallaroo. For a helm based installation, see the How to Install Wallaroo Enterprise via Helm guides.

kubectl Quick Install Guide

The following are quick guides for installing kubectl for different operating systems. For more details, see the instructions for your specific environment.

kubectl Install For Deb Package based Linux Systems

For users running a deb based package system such as Ubuntu Linux, the following commands will install kubectl and kots into the local system. They assume the user has sudo level access to the system.

  1. Update the apt-get repository:

    sudo apt-get update
  2. Install the prerequisite software apt-transport-https, ca-certificates, and curl.

    sudo apt-get install -y \
        apt-transport-https \
        ca-certificates curl
  3. Download the install the Google Cloud repository key:

    sudo curl -fsSLo \
        /usr/share/keyrings/kubernetes-archive-keyring.gpg \
  4. Install the Google Cloud repository into the local repository configuration:

    echo "deb [signed-by=/usr/share/keyrings/kubernetes-archive-keyring.gpg] https://apt.kubernetes.io/ kubernetes-xenial main" \
        | sudo tee /etc/apt/sources.list.d/kubernetes.list
  5. Update the apt-get repository, then install kubectl:

    sudo apt-get update
    sudo apt-get install -y kubectl
  6. Verify the kubectl installation:

    kubectl version --client

kubectl Install For macOS Using Homebrew

To install kubectl on a macOS system using Homebrew:

  1. Issue the brew install command:

    brew install kubectl
  2. Verify the installation:

    kubectl version --client

kots Quick Install Guide

The following are quick guides for installing kots for different operating systems. For more details, see the instructions for your specific environment.


    As of this time, Wallaroo requires kots version 1.91.3. Please verify that version is installed before starting the Wallaroo installation process.

  1. Install curl.

    1. For deb based Linux systems, update the apt-get repository and install curl:

      sudo apt-get update
      sudo apt-get install curl
    2. For macOS based systems curl is installed by default.

  2. Install kots by downloading the script and piping it into the bash shell:

    curl https://kots.io/install/1.91.3 | REPL_USE_SUDO=y bash

Manual Kots Install

A manual method to install KOTS is:

  1. Download from https://github.com/replicatedhq/kots/releases/tag/v1.91.3. Linux and MacOS are supported.

  2. Unpack the release

  3. Rename the kots executable to kubectl-kots.

  4. Copy the renamed kubectl-kots to anywhere on the PATH.

  5. Next, verify successful installation.

    ~ kubectl kots version
    Replicated KOTS 1.91.3