deployKF builds world-class ML Platforms on any Kubernetes cluster, within any cloud or environment, in minutes.
With centralized configs, in-place upgrades, and support for leading ML & Data tools like
Kubeflow,
Airflow†, and
MLflow†,
deployKF lets you focus on using the platform, not building it.
†Coming soon, see our current and future tools.
deployKF builds world-class ML Platforms on any Kubernetes cluster, within any cloud or environment, in minutes.
- deployKF includes leading ML & Data tools from Kubeflow and more
- deployKF has centralized configs that manage all aspects of the platform
- deployKF supports in-place upgrades and can autonomously roll out config changes
- deployKF lets you bring your own cluster dependencies like istio and cert-manager, if desired
- deployKF uses ArgoCD Applications to provide native GitOps support
deployKF supports all tools from the Kubeflow Ecosystem including Kubeflow Pipelines and Kubeflow Notebooks. We are actively adding support for other popular tools such as MLflow, Airflow, and Feast.
For more information, please see our current and future tools!
deployKF was originally created 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.
The creator of deployKF (Mathew Wicks), operates a US-based ML & Data company named Aranui Solutions which provides commercial support and advisory services.
Connect on LinkedIn or email [email protected] to learn more!
deployKF is a new project, and we are still building our community, consider adding your organization to our list of adopters.
Kubeflow and deployKF are two different but related projects.
For more details, please see our deployKF vs Kubeflow comparison.
Yes! For more information please see our community page.