mlflow chart version 1.8.4 launched
We are excited to announce the launch of the mlflow Helm chart version 1.8.4 on June 2, 2026, which includes app version 3.13.0. This update introduces a range of new features, enhancements, and valuable community-driven improvements to make deploying mlflow on Kubernetes even more seamless.
What’s New in mlflow 1.8.4 chart
This release highlights updates to the Helm chart (version 1.8.4) alongside the underlying application (version 3.13.0). Here’s a brief overview of the changes:
- Changed: Updated the burakince/mlflow image version to 3.13.0
- Changed: Updated the postgresql dependency from 18.6.10 to 18.7.0
For a comprehensive list of changes, visit the release notes on GitHub.
Getting Started with mlflow 1.8.4 chart
Are you ready to deploy mlflow 1.8.4? Our installation guides offer step-by-step instructions to help you get started, including:
- A quick installation process with default configurations.
- Customizing settings to align with your environment.
- Best practices for production-ready deployments.
Visit the mlflow documentation to explore all the options available and deploy 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 benefits:
- Ease of Use: Experience simplified installation and configuration.
- Community-Driven: Enjoy regular updates and enhancements driven by contributors.
- Flexibility: Access configurable options to accommodate various use cases.
- Reliability: Count on proven stability in Kubernetes environments.
Get Involved
Join us at GitHub Community Charts! This is a collaborative effort, and we value your contributions. Whether you are fixing bugs, enhancing documentation, or proposing new features, here’s how you can participate:
- Explore the Chart: Delve into our mlflow documentation for detailed configuration information.
- Contribute: Submit your pull requests on our GitHub repository.
- Report Issues: Encounter a bug? Let us know.
- Request Features: Share your suggestions via our issue tracker.
Thank you for supporting mlflow and GitHub Community Charts. Together, let’s continue to enhance the ease of Kubernetes deployments!
