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  • Getting Started
    • 👋Introduction
    • 🔨Installation
    • 🚀Quickstart
      • AWS Quickstart
      • GCP Quickstart
      • K3D Quickstart
    • 💡Core Concepts
  • Stacks
    • Writing Spec Files
    • AWS
    • GCP
    • Azure
    • K3D
  • Reference
    • Github Repository
    • CLI
    • Terraform usage
    • ZenML & MLStacks
    • Debugging Tips
    • Analytics
    • FAQ
    • Contributing
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  • Other requirements and dependencies
  • Cloud provider installation

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  1. Getting Started

Installation

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Last updated 1 year ago

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MLStacks is a Python package that can be installed using pip. It is recommended that you install MLStacks in a virtual environment. You can install MLStacks using the following command:

pip install mlstacks

Other requirements and dependencies

MLStacks uses Terraform on the backend to manage infrastructure. You will need to have Terraform installed. Please visit the for installation instructions.

MLStacks also uses Helm to deploy Kubernetes resources. You will need to have Helm installed. Please visit the for installation instructions.

If you're using a Mac, you will need to in order for some of the Terraform deployment commands and scripts to work.

If you want to use the mlstacks breakdown command to get cost estimates for your MLOps stacks, you'll need to also have infracost installed as well as to be logged in. Please visit the for installation instructions.

Cloud provider installation

MLStacks currently supports the following stack providers:

  • AWS

  • GCP

  • K3D

If you wish to deploy using these providers you'll need to have accounts (for AWS and GCP) and the relevant CLIs installed and authenticated. You will also need to have the relevant permissions to deploy, manage and destroy resources in these accounts. Please refer to the documentation for those providers for more information.

🔨
Terraform docs
Helm docs
install jq
Infracost docs