Conveyor is a platform for containerised data product deployment. It aims to provide a better way to develop, deploy, scale and maintain data products.
Data products deployed on Conveyor can be created with any stack, platform or language with enhanced support for popular stacks like Spark.
Your data products are containerised using Docker, versioned in Git and can be deployed to a managed Conveyor cluster in your cloud account. Each cluster can contain multiple environments, each project can also be deployed to multiple environment. This enables you to deploy to development, test everything out and then promote that code to production.
For the convenience of developers, Conveyor includes comprehensive developer tools, and ready-to-go templates.
How the documentation is organised
This section covers tutorial on how to use Conveyor for developers
The how to guides are step by step guides that
- covers key tasks and operations
- help solve common problems.
This topic covers tools, components, commands and resources.
Here we clarify and discuss key topics.
If you would like new functionality to be added to conveyor you can do so on our roadmap project
If you want to follow along with our roadmap you can have a look here.
At Conveyor we release new versions as often as possible containing bug fixes, improvements and new feature. Keep track of our release notes.
Our promise to developers
Conveyor will help you achieve the same results as an experienced data engineer all by yourself. If you let us take care of the dull, repetitive jobs, you’ll get to do the creative, enjoyable ones.