deployKF builds machine learning platforms on Kubernetes.
We combine the best of
Kubeflow,
Airflow†, and
MLflow†
into a complete platform that is easy to deploy and maintain.
deployKF combines the ease of a managed service with the flexibility of a self-hosted solution.
Our goal is that any Kubernetes user can build a machine learning platform for their organization,
without needing specialized MLOps knowledge, or a team of experts to maintain it.
deployKF is a new and growing project.
If you like what we are doing, please help others discover us by sharing the project with your colleagues and/or the wider community.
We greatly appreciate GitHub Stars ⭐ on the deployKF/deployKF repository:
Other Resources
Commercial Support
To discuss commercial support options for deployKF, please connect with Aranui Solutions, the company started by the creators of deployKF.
Learn more on the Aranui Solutions Website.
Community
The deployKF community uses the Kubeflow Slack for informal discussions among users and contributors.
deployKF was originally created and is maintained by Mathew Wicks (GitHub: @thesuperzapper), a Kubeflow lead and maintainer of the popular Apache Airflow Helm Chart.
deployKF is a community-led project that welcomes contributions from anyone who wants to help.