Resource Dispatcher Operator

Description

The Resource Dispatcher Operator for Juju enable allows you to deploy default resources to specific kubernetes namespaces.

Usage

The Resource Dispatcher Operator may be deployed using the Juju command line as follows

$ juju deploy resource-dispatcher

Looking for a fully supported platform for MLOps?

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.

Key features

Centralised, browser-based data science workspaces: familiar experience
Multi user: one environment for your whole data science team
NVIDIA GPU support: accelerate deep learning model training
Apache Spark integration: empower big data driven model training
Ideation to production: automate model training & deployment
AutoML: hyperparameter tuning, architecture search
Composable: edge deployment configurations available

What’s included in Charmed Kubeflow 1.4

LDAP Authentication
Jupyter Notebooks
Work with Python and R
Support for TensorFlow, Pytorch, MXNet, XGBoost
TFServing, Seldon-Core
Katib (autoML)
Apache Spark
Argo Workflows
Kubeflow Pipelines

Why engineers and data scientists choose Charmed Kubeflow

Maintenance: Charmed Kubeflow offers up to two years of maintenance on select releases
Optional 24/7 support available, contact us here for more information
Optional dedicated fully managed service available, contact us here for more information or learn more about Canonical’s Managed Apps service.
Portability: Charmed Kubeflow can be deployed on any conformant Kubernetes, on any cloud or on-premise

Documentation

Please see the official docs site for complete documentation of the Charmed Kubeflow distribution.

Bugs and feature requests

If you find a bug in our operator or want to request a specific feature, please file a bug here: https://github.com/canonical/seldon-core-operator/issues

License

Charmed Kubeflow is free software, distributed under the Apache Software License, version 2.0.

Contributing

Canonical welcomes contributions to Charmed Kubeflow. Please check out our contributor agreement if you're interested in contributing to the distribution.

Security

Security issues in Charmed Kubeflow can be reported through LaunchPad. Please do not file GitHub issues about security issues.

canonical/resource-dispatcher