How-to guides¶ The following guides cover key processes and common tasks for managing and using Charmed MLflow. Preparation¶ Create an MLOps-ready Charmed Kubernetes cluster Deployment¶ Deploy Charmed MLflow to Charmed Kubernetes on AWS Deploy Charmed MLflow to EKS Deploy Charmed MLflow and Kubeflow to EKS Integration¶ Integrate MLflow with the Canonical Observability Stack (COS) Integrate Charmed MLflow with Charmed Kubeflow on Charmed Kubernetes Integrate MLflow with Jupyter Notebooks Upgrading¶ Migrate Charmed MLflow Version 1 to Version 2 Upgrade Charmed MLflow 2.1 to 2.15 Managing¶ Backup MLflow data Restore MLflow data
