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README.md
Azure Databricks operator (for Kubernetes)
This project is experimental. Expect the API to change. It is not recommended for production environments.
Introduction
Kubernetes offers the facility of extending its API through the concept of 'Operators' (Introducing Operators: Putting Operational Knowledge into Software). This repository contains the resources and code to deploy an Azure Databricks Operator for Kubernetes.
The Databricks operator is useful in situations where Kubernetes hosted applications wish to launch and use Databricks data engineering and machine learning tasks.
The project was built using
Quick start
For deployment guides please see deploy.md
For samples and simple use cases on how to use the operator please see samples.md
Roadmap
Check roadmap.md for what has been supported and what's coming.
Resources
Few topics are discussed in the resources.md
- Kubernetes on WSL
- Build pipelines
- Dev container
Contributing
For instructions about setting up your environment to develop and extend the operator, please see contributing.md
This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.microsoft.com.
When you submit a pull request, a CLA-bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., label, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA.
This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact opencode@microsoft.com with any additional questions or comments.