mlflow chart version 1.11.2 released

We’re excited to share the release of the mlflow Helm chart version 1.11.2 on June 21, 2026, featuring app version 3.14.0. This update introduces new features, enhancements, and community-driven improvements to streamline the deployment of mlflow on Kubernetes.

What's New in mlflow 1.11.2 chart

This latest version includes important updates to the Helm chart (version 1.11.2) alongside the underlying application (version 3.14.0). Here’s a brief overview of the enhancements:

• Changed: Updated dbchecker image version to 1.38.0
  • dbchecker
• Changed: Updated ini-file-initializer image version to 1.38.0
  • ini-file-initializer

For a comprehensive list of changes, feel free to check out the release notes on GitHub.

Getting Started with mlflow 1.11.2 chart

Excited to deploy mlflow 1.11.2? Our installation guides offer detailed, step-by-step instructions to help you begin, including:

• Quick installation with default configurations.
• Options for customizing settings tailored to your environment.
• Best practices to ensure reliable production deployments.

Don’t forget to visit the mlflow documentation to explore all available options and get started with your mlflow deployment today.

Why Choose the mlflow Helm Chart?

The mlflow Helm chart, expertly maintained by GitHub Community Charts, is crafted to simplify and enhance your Kubernetes deployment experience. Here are some key benefits:

• Ease of Use: Enjoy a straightforward installation and configuration process.
• Community-Driven: Regular updates and improvements come from dedicated contributors.
• Flexibility: Configurable options make it suitable for various use cases.
• Reliability: Rigorously tested for stability in Kubernetes environments.

Get Involved

We invite you to join the GitHub Community Charts project! Contributions from community members are always welcome. Whether you’re interested in fixing bugs, enhancing documentation, or proposing new features, here's how you can participate:

• Explore the Chart: Discover configuration details in the mlflow documentation.
• Contribute: Share your enhancements by submitting pull requests to our GitHub repository.
• Report Issues: If you encounter any bugs, let us know.
• Request Features: Feel free to suggest improvements via our issue tracker.

Thank you for your support of mlflow and GitHub Community Charts. Together, let’s make deploying on Kubernetes even easier!