This repository hosts the Kubernetes Python Operator for Spark (see CharmHub.
Upstream documentation can be found at https://github.com/GoogleCloudPlatform/spark-on-k8s-operator
The Spark Operator may be deployed using the Juju command line as follows
juju deploy spark-k8s --trust
Canonical Charmed Kubeflow is a state of the art, fully supported MLOps platform that helps data scientists collaborate on AI innovation on any cloud from concept to production, offered by Canonical - the publishers of Ubuntu.
Charmed Kubeflow is free to use: the solution can be deployed in any environment without constraints, paywall or restricted features. Data labs and MLOps teams only need to train their data scientists and engineers once to work consistently and efficiently on any cloud – or on-premise.
Charmed Kubeflow offers a centralised, browser-based MLOps platform that runs on any conformant Kubernetes – offering enhanced productivity, improved governance and reducing the risks associated with shadow IT.
Learn more about deploying and using Charmed Kubeflow at https://charmed-kubeflow.io.
Please see the official docs site for complete documentation of the Charmed Kubeflow distribution.
If you find a bug in our operator or want to request a specific feature, please file a bug here: https://github.com/canonical/dex-auth-operator/issues
Charmed Kubeflow is free software, distributed under the Apache Software License, version 2.0.
Canonical welcomes contributions to Charmed Kubeflow. Please check out our contributor agreement if you're interested in contributing to the distribution.
Security issues in Charmed Kubeflow can be reported through LaunchPad. Please do not file GitHub issues about security issues.