Skip to main content

mlflow chart version 1.8.2 released

· 2 min read
Burak Ince
Burak Ince
Software Developer

We are excited to announce the release of the mlflow Helm chart version 1.8.2 on May 31, 2026, featuring app version 3.12.0! This update introduces a range of new features, enhancements, and community-driven improvements designed to simplify deploying mlflow on Kubernetes.

What's New in mlflow 1.8.2 chart​

This release includes significant updates to the Helm chart (version 1.8.2) along with the underlying application (version 3.12.0). Here’s a summary of the key changes:

  • Changed: Updated the burakince/mlflow image version to 3.12.0
  • Changed: Updated the dependency on PostgreSQL from version 18.1.13 to 18.6.10

For a complete list of changes, please check the release notes on GitHub.

Getting Started with mlflow 1.8.2 chart​

Are you ready to deploy mlflow 1.8.2? Our comprehensive installation guides offer step-by-step instructions to help you get started, including:

  • Quick installation using default configurations.
  • Customizing settings to best suit your environment.
  • Best practices for ensuring successful production deployments.

Visit the mlflow documentation to explore a variety of options and start deploying mlflow today.

Why Choose the mlflow Helm Chart?​

The mlflow Helm chart, maintained by GitHub Community Charts, provides a straightforward and reliable way to deploy mlflow on Kubernetes. Here are some key benefits:

  • Ease of Use: Simplified installation and configuration processes.
  • Community-Driven: Regular updates and enhancements from our dedicated contributors.
  • Flexibility: Configurable options to accommodate diverse use cases.
  • Reliability: Thoroughly tested for stability in Kubernetes environments.

Get Involved​

GitHub Community Charts is a collaborative project, and we warmly welcome your contributions! Whether you're fixing bugs, enhancing documentation, or suggesting new features, here’s how you can get involved:

Thank you for your continued support of mlflow and GitHub Community Charts. Together, let’s make Kubernetes deployments easier and more efficient!