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mlflow chart version 1.8.0 released

· 2 min read
Burak Ince
Burak Ince
Software Developer

We’re excited to announce the release of the mlflow Helm chart version 1.8.0, available as of 2025-11-08. This release includes the latest app version 3.6.0 and brings valuable improvements focused on performance, customization, and Kubernetes-native deployments.

What’s New in mlflow Helm chart 1.8.0​

This version of the chart includes important updates designed to offer greater flexibility when running mlflow on Kubernetes. Highlights include:

  • ✅ Resource Configuration for Init Containers: You can now define compute resources for the dbchecker and ini-file-initializer init containers.
    See the discussion on GitHub Issue #265

These changes allow for more efficient use of resources and better alignment with production-grade deployments.

Explore the full changelog in the official release notes.

Get Started with mlflow 1.8.0​

Deploying mlflow on Kubernetes has never been easier. Our step-by-step installation guides walk you through everything you need to get up and running. Learn how to:

  • Perform a basic install with default values
  • Customize the chart to fit your specific use case
  • Apply best practices for robust, production-ready deployments

Check out the full mlflow documentation to get started.

Why Use the mlflow Helm Chart?​

The mlflow Helm chart is built and maintained by the open-source GitHub Community Charts project with the goal of making mlflow easy, scalable, and reliable to run in Kubernetes.

Key benefits include:

  • 🚀 Simple Deployment: Install mlflow with a single command
  • 🤝 Community-Driven: Developed and improved by contributors from around the world
  • 🔧 Highly Configurable: Easily adapt to any environment, from dev to production
  • 🛠 Proven Stability: Built for modern Kubernetes workflows

Join the Community​

mlflow Helm is part of a vibrant open-source community. Whether you're a developer, DevOps engineer, or enthusiast, there are many ways to contribute:

Thank you for being part of the journey. Together, we’re making cloud-native mlflow deployments better for everyone!