mlflow chart version 1.8.6 released
We are excited to share the release of the mlflow Helm chart version 1.8.6 on 2026-06-18, featuring app version 3.14.0. This update introduces new features, enhancements, and community-driven improvements that make deploying mlflow on Kubernetes easier and more efficient.
What's New in mlflow 1.8.6 chart
The latest release includes updates to the Helm chart (version 1.8.6) as well as the underlying application (version 3.14.0). Here are the highlights:
- Changed: Updated the burakince/mlflow image version to 3.14.0
- Changed: Upgraded the postgresql dependency from 18.7.0 to 18.7.5
For a detailed overview of all changes, check out the release notes on GitHub.
Getting Started with mlflow 1.8.6 chart
Are you ready to deploy mlflow 1.8.6? Our installation guides offer step-by-step instructions to help you hit the ground running, including:
- Quick installations using default configurations.
- Customizing settings for your specific environment.
- Best practices for successful production deployments.
Dive into the mlflow documentation to uncover all available options and start deploying mlflow today.
Why Choose the mlflow Helm Chart?
The mlflow Helm chart, maintained by GitHub Community Charts, is crafted to simplify and enhance the deployment of mlflow on Kubernetes. Here are some key advantages:
- Ease of Use: Streamlined installation and configuration process.
- Community-Driven: Receive regular updates and enhancements from enthusiastic contributors.
- Flexibility: Configurable options tailored for various use cases.
- Reliability: Thoroughly tested for stability in Kubernetes environments.
Get Involved
We invite you to be a part of the GitHub Community Charts project! Your contributions, whether fixing bugs, enhancing documentation, or proposing new features, are invaluable. Here’s how you can contribute:
- Explore the Chart: Visit the mlflow documentation for detailed configuration options.
- Contribute: Submit pull requests to our GitHub repository.
- Report Issues: Encountered a bug? Let us know.
- Request Features: Share your suggestions on our issue tracker.
Thank you for supporting mlflow and GitHub Community Charts. Together, let's make Kubernetes deployments smoother and more accessible!
