mlflow chart version 1.11.1 released
We are excited to share the launch of the mlflow Helm chart version 1.11.1 on June 21, 2026, featuring app version 3.14.0. This update introduces an array of new features, enhancements, and community-driven improvements aimed at simplifying your experience deploying mlflow on Kubernetes.
What's New in mlflow 1.11.1 chart
This release encompasses updates to the Helm chart (version 1.11.1) as well as the underlying application (version 3.14.0). Here’s a brief overview of the changes:
- Changed: Updated oauth2-proxy image version to v7.15.3
- Changed: Updated dependency postgresql from 18.7.5 to 18.7.6
For a comprehensive list of updates, check out the release notes on GitHub.
Getting Started with mlflow 1.11.1 chart
Are you ready to deploy mlflow 1.11.1? Our installation guides offer step-by-step support to help you get started, including:
- Quick installation with default configurations.
- Customization options tailored to your environment.
- Best practices for production deployments.
Visit the mlflow documentation to discover the full range of options and deploy mlflow with confidence!
Why Choose the mlflow Helm Chart?
The mlflow Helm chart, expertly maintained by GitHub Community Charts, is crafted to streamline the deployment of mlflow on Kubernetes. Here’s why it stands out:
- Ease of Use: Enjoy a simplified installation and configuration process.
- Community-Driven: Benefit from regular updates and enhancements contributed by our vibrant community.
- Flexibility: Access configurable options to suit a variety of use cases.
- Reliability: Rely on our chart that has been rigorously tested for stability in Kubernetes environments.
Get Involved
GitHub Community Charts thrives on community contributions, and we warmly invite you to join us! Whether you’re fixing bugs, enhancing documentation, or proposing new features, here’s how to get involved:
- Explore the Chart: Dive into the mlflow documentation for detailed configuration options.
- Contribute: Submit pull requests through our GitHub repository.
- Report Issues: If you encounter any bugs, let us know.
- Request Features: Share your improvement suggestions via our issue tracker.
Thank you for your support of mlflow and the GitHub Community Charts. Together, let’s make Kubernetes deployments easier and more efficient!
