Mlflow Chart Version 1.8.3 Released
We are excited to share the release of the mlflow Helm chart version 1.8.3 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 streamline your deployment of mlflow on Kubernetes.
What's New in Mlflow 1.8.3 Chart
This release includes updates to both the Helm chart (version 1.8.3) and the underlying application (version 3.12.0). Here's a summary of the key changes:
- Fixed: Liveness and readiness probes now consistently use /health, regardless of staticPrefix.
To explore the complete list of changes, please visit the release notes on GitHub.
Getting Started with Mlflow 1.8.3 Chart
Are you ready to deploy mlflow 1.8.3? Our installation guides provide step-by-step instructions to ensure a smooth start, including:
- Quick installation with default configurations.
- Customization options to tailor settings to your environment.
- Best practices for successful production deployments.
Head over to the mlflow documentation to discover all the available options and deploy mlflow today.
Why Choose the Mlflow Helm Chart?
The mlflow Helm chart, maintained by GitHub Community Charts, is designed for straightforward and reliable deployment of mlflow on Kubernetes. Here are some key benefits:
- Ease of Use: Enjoy simplified installation and configuration processes.
- Community-Driven: Benefit from regular updates and improvements from our contributors.
- Flexibility: Utilize configurable options to meet various use cases.
- Reliability: Trust in a solution that is tested for stability in Kubernetes environments.
Get Involved
GitHub Community Charts is a collaborative project, and we wholeheartedly welcome your contributions! Whether you are fixing bugs, enhancing documentation, or suggesting new features, here's how you can get involved:
- Explore the Chart: Delve into the mlflow documentation for configuration details.
- Contribute: Submit pull requests to our GitHub repository.
- Report Issues: If you encounter a bug, please let us know.
- Request Features: Share your improvement ideas through our issue tracker.
Thank you for supporting mlflow and GitHub Community Charts. Together, let's continue to make Kubernetes deployments easier and more efficient!